Training Brochure

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  • 1. Training Brochure
  • 2. Achieve your goals with SPSS Welcome, Do you ever wonder why some organisations are good and others are great? At SPSS Ireland, we know that the answer is people. We believe that organisations become great when people are equipped with the right tools. Now that you’ve got the right tool, it’s time to learn how we can help you to achieve your goals. Leading Irish financial institutions, government and commercial organisations know the value of SPSS training and consultancy. We enable these organisations to use the data that they collect to make better decisions, improve processes, reduce costs and drive strategic planning. We can show you how. Our scheduled training courses will demonstrate how to optimise your use of SPSS software. We offer more than 40 courses on topics ranging from statistical analysis and survey research to data mining and predictive analytics. Alternatively, we can develop customised courses that will match your needs exactly. We believe in providing our customers with ‘clear knowledge’. This brochure is designed to clearly highlight which scheduled training courses are applicable to you based on your job or ‘role’. Choose which ‘role’ describes you the most, then follow the colour coding throughout. Select your colour, find your course. Great organisations use SPSS software. We look forward to working with you. Sincerely, Barry McIntyre CEO SPSS Ireland “ SPSS Consulting were brilliant. They helped us turn our situation around so that we are now spending 80% of our time driving insights out of data and 20% actually collating data. We are now able to concentrate our time and resources implementing our customer strategy. - Stephen Moran, ” Bank of Ireland
  • 3. Table of Contents Page Training Options i Training Vouchers ii Course Maps by Role iii - Data Analysis & Reporting v - Statistical Analysis & Report Automation vi - Business Analysis or Market Research vii - Predictive Analysis Expert viii - Health Research ix - Survey Analysis x - Survey Data Collection & Management xi Course Index xii Course Schedule xiv Course Outlines 1-42 How to find us 43 For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie
  • 4. Training Options At SPSS Ireland, we believe that it is our responsibility to provide our customers with the ability to make better decisions using SPSS. To accommodate your potential requirements, we have devised a variety of training options for you. We look forward to demonstrating how to use SPSS to your advantage. New Training add-on: Scheduled Training “The Time Bank” One of the great new services which Choose from one of our ‘role’ based we provide to our customers that training maps, the training that will attend scheduled training is called the enable you to achieve your goals. “Time Bank”. Every organisation holds the key to the ‘bank of data’ that they Follow the map to determine which are trying to unlock. The challenge is course will equip you with the skills ‘unlocking’ the insights from your data and knowledge you need. - in a timely manner. Use our training schedule to discover Our experienced consultants would like when you are free and book early to to give you the opportunity to use your secure your place! data to gain valuable intelligence - fast. Whether you would like advice on how For an up-to-date version of our best to analyse your specific data, or if training schedule please visit: you would like to enrich your understanding of statistical questions http://www.spss.com/ie/training as they arise, the time bank has the answer. Customised Training Consulting If you cannot find a training course The SPSS Consultancy team focus on that matches your exact needs why delivering ‘clear knowledge’ throughout don’t you try one of our Private the data cycle. With years of industry Training Programmes? experience and advanced technical skills, we partner with organisations to We can customise our courses to your deliver their objectives. Turn raw data, requirements or we can create an facts and figures into invaluable entirely new course specifically for you. information with SPSS Consulting. This enables you to optimise your time We can work with you to answer your ensuring maximum productivity and business questions or advise on best complete knowledge transfer. practice. We will assist you to meet your data analysis requirements Our trainers can even come to you, through one to one advice or by for even greater convenience. committing SPSS Consultants to deliver the project in its entirety. With SPSS Consulting, you can rely on SPSS to deliver the answers. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie i
  • 5. Training Vouchers Invest in a SPSS Training Voucher and enjoy the flexibilty that it provides you. 5 Day Deal: 20 Day Deal: 5 Days Training for a 20 Days Training for up to named individual from 20 individuals from your your organisation in any organisation in any combination of select * combination of select * courses from our public courses from our public training schedule. training schedule. The benefits of the vouchers: - Maximise your training budget - Save up to 30% with the 5 day voucher - Save up to 50% with the 20 day voucher - Take five or twenty days of training in any combination from our list of select*courses - 20 day vouchers are fully transferable throughout your organisation - Training Courses are not subject to VAT - The voucher is valid for one year *Courses where vouchers are applicable include: - Introduction to SPSS - Introduction to SPSS & Statistics - How to Conduct a Survey from A-Z - Introduction to SPSS Text Analysis for Surveys - Data Quality & Validation - Reporting with SPSS Tables & Graphics - Introduction to Automation with SPSS - Intermediate Automation with SPSS - Advanced Automation with SPSS - Data Manipulation Techniques - Applied to Basic & Intermediate Statistics - Introduction to Regression with SPSS - Categorical Data Analysis & Logistic Regression - Introduction to SPSS Classification Trees - Cluster & Factor Analysis - ANOVA Techniques - Time Series Analysis & Forecasting - Survival Analysis - Structural Equation Modelling using AMOS - Survey Methodology - Biostatistics - Advanced Statistics - Complex Samples - Market Segmentation - Advanced Market Research - Workshop on Market Research Methods . For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie ii
  • 6. Course Maps by Role Choosing the right training course for you should be easy. You want to understand what courses match your present needs. Once you have attended that training course, you might wonder what else can you learn? How can SPSS help you achieve your current and future goals? To help you map out your personalised training plan, we have devised a ‘role-based’ training brochure. Our aim is to guide you through all of our courses, highlighting the ones that are right for you – both now and in the future. Your tailored training map is in your hands. To use these training maps, just select the person that best describes how you intend to use your SPSS solution. The corresponding colour-coded boxes are used throughout the brochure and will highlight the courses that suit you the most. Select your colour, choose your course. These course maps provide a comprehensive overview that will enable you to become an expert in your field. You can choose from the recommended courses those that best match your knowledge and skills. We hope that these course maps will be a benchmark for your learning. I use SPSS for Data I use SPSS for Survey Analysis & Reporting Collection & Management I use SPSS for Statistical I use SPSS for Analysis & Report Automation Survey Analysis I use SPSS for Business I use SPSS for Health Analysis or Market Research Research I want to be an expert in predictive analysis For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie iii
  • 7. Course Maps by Role I use SPSS for Data Analysis & Reporting Not sure where to start? This map is right for you if your core requirements are to access and manage data, coupled with some basic reporting with little or no statistical analysis. This map is ideal for people whose main analysis and reporting tools are databases and Microsoft Excel and who are seeking greater functionality and productivity. I use SPSS for Statistical Analysis & Report Automation If you spend a significant amount of your time accessing and managing data as well as advanced reporting, this map is appropriate for you. If you perform a lot of statistical analysis to support decision-making these courses will match your requirements perfectly. This map is also ideal for data analysts that perform many analysis tasks such as data manipulation or merging files on a periodic basis. I use SPSS for Business Analysis or Market Research This course map is suitable for analysts who work in a commercial environment and deal with client data. These courses will demonstrate how best to uncover the insights that your data holds. In-depth customer understanding is crucial to business success. This map is for you if you want an advanced tool-kit to enable you to uncover the answers to your business questions. I want to be an expert in Predictive Analysis This course map is perfect for you if you already have a solid foundation in business analysis or market research and your job involves working with large databases. Your objective is to learn how to extract and integrate information from multiple data silos, segment customer groups and predict future outcomes such as customer behaviour. Learn how to transform data, perform advanced modelling techniques and effective interpretation of results that are usable across your entire organisation. I use SPSS for Health Research Delivering the best possible care is the most important task a healthcare organisation performs. If you are a healthcare professional, this course map will point you in the right direction. It will develop your knowledge and skills to enable you to fully contribute to the success of your organisation. These courses play an essential role in providing you with the ability to help your organisation save money, improve the quality of care and operate more efficiently using SPSS. I use SPSS for Survey Analysis If you are you looking for ways to prepare, collect and analyse survey data more efficiently then this course map will show you how. These courses cover the complete survey cycle from creating questionnaires, data entry and basic statistical analysis to complex statistical modelling to determine complex relationships in the survey data. I use SPSS for Survey Data Collection & Management This course map is ideal for you if your organisation would like to gather and manage feedback. These courses will demonstrate how to conduct sophisticated survey research to extract valuable insights. If you want to maximise your ability to cover the research value chain in terms of collecting, processing and publishing data results efficiently, then this map is the best choice for you. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie iv
  • 8. Course Maps by Role I use SPSS for Data Analysis & Reporting Not sure where to start? This map is right for you if your core requirements are to access and manage data, coupled with some basic reporting with little or no statistical analysis. This map is ideal for people whose main analysis and reporting tools are databases or Microsoft Excel and who are seeking greater functionality and productivity. Core Courses Complementary Courses Introduction to SPSS Data Manipulation Techniques Data Quality & Validation Introduction to Automation with SPSS Reporting with SPSS Tables & Graphics “ The course was very informative and I could see throughout the course where I could apply the techniques within my own work. ” - Jennifer Dunne, An Garda Siochana For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie v
  • 9. Course Maps by Role I use SPSS for Statistical Analysis & Report Automation If you spend a significant amount of your time accessing and managing data as well as advanced reporting, this map is appropriate for you. If you perform a lot of statistical analysis to support decision-making these courses will match your requirements perfectly. This map is also ideal for data analysts that perform many analysis tasks such as data manipulation or merging files on a periodic basis. Core Courses Complementary Courses Introduction to SPSS Intermediate Automation & Statistics with SPSS Advanced Automation Data Quality & Validation with SPSS Advanced Automation Introduction to SPSS Text Reporting with Spss with SPSSquesSurveys Analysis for Tables & Graphics Applied Basic & Intermediate Statistics Data Manipulation Techniques Introduction to Automation with SPSS “Since I had some knowledge of statistics and SPSS, this course suited my needs. Having completed this course and having the training manual, I feel more confident in using statistical tests. ” - Denise McCarthy, Health Service Exectutive, Midlands For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie vi
  • 10. Course Maps by Role I use SPSS for Business Analysis or Market Research This course map is suitable for analysts who work in a commercial environment and deal with client data. These courses will demonstrate how best to uncover the insights that your data holds. In-depth customer understanding is crucial to business success. This map is for you if you want an advanced tool-kit to enable you to uncover the answers to your business questions. Core Courses Complementary Courses Introduction to SPSS Introduction to Automation Introduction to SPSS & Statistics with SPSS Classification Trees Data Quality & Validation Intermediate Automation Time Series Analysis & with SPSS Forecasting Reporting with SPSS Advanced Automation Tables & Graphics with SPSS Market Segmentation Applied Basic & Advanced Automation Introduction to SPSS Text Workshop on Market Intermediate Statistics with SPSSquesSurveys Analysis for Research Methods Data Manipulation Advanced Statistics Advanced Market Research Techniques Introduction to Regression Introduction to Clementine with SPSS Categorical Data Analysis Advanced Modelling with & Logistic Regression Clementine Cluster & Factor Analysis Introduction to Data Mining Advanced Market Research “ The course was very enjoyable and the trainer was very helpful with answering questions and explaining things clearly. ” - Orla Bolger, Bank of Ireland For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie vii
  • 11. Course Maps by Role I want to be an expert in Predictive Analysis This course map is perfect for you if you already have a solid foundation in business analysis or market research and your job involves working with large databases. Your objective is to learn how to extract and integrate information from multiple data silos, segment customer groups and predict future outcomes such as customer behaviour. Learn how to transform data, perform advanced modelling techniques and effective interpretation of results that are usable across your entire organisation. Core Courses Complementary Courses Introduction to Data IntermediateStatistics Advanced Automation Mining with SPSS Catagorical Data Analysis Introduction to Clementine & Logistic Regression Advanced Modelling Time Series Analysis & Advanced Automation with Clementine with SPSSques Forecasting Survival Analysis Structural Equation Modelling using AMOS “I really enjoyed the course, it was exceptionally interesting and well paced. I think it will be extremely beneficial in my work. ” - Padraig O'Brien, AIB For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie viii
  • 12. Course Maps by Role I use SPSS for Health Research Delivering the best possible care is the most important task a healthcare organisation performs. If you are a healthcare professional, this course map will point you in the right direction. It will develop your knowledge and skills to enable you to fully contribute to the success of your organisation. These courses play an essential role in providing you with the ability to help your organisation save money, improve the quality of care and operate more efficiently using SPSS. Core Courses Complementary Courses Introduction to SPSS Introduction to Automation Introduction to SPSS & Statistics with SPSS Classification Trees Data Quality & Validation Intermediate Automation Time Series Analysis with SPSS & Forecasting Reporting with SPSS Advanced Automation Tables & Graphics with SPSS ANOVA Techniques Applied Basic & Advanced Automation Introduction to SPSS Text Intermediate Statistics with SPSSques Analysis for Surveys Survival Analysis Biostatistics Advanced Statistics Categorical Data Analysis & Logistic Regression Data Manipulation Introduction to Regression Techniques with SPSS “ Overall I thoroughly enjoyed the course & found it extremely useful. SPSS is not as scary as I originally thought. Extremely worthwhile course! ” - Amanda McErlene, Public Health Dept, North West Area HSE For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie ix
  • 13. Course Maps by Role I use SPSS for Survey Analysis If you are you looking for ways to prepare, collect and analyse survey data more efficiently then this course map will show you how. These courses cover the complete survey cycle including creating questionnaires, data entry and basic statistical analysis.You will also learn complex statistical modelling to determine complex relationships in the survey data. Core Courses Complementary Courses Introduction to SPSS Introduction to Automation Introduction to SPSS & Statistics with SPSS Classification Trees Data Quality & Validation Intermediate Automation with SPSS Cluster & Factor Analysis Reporting with SPSS Advanced Automation Data Manipulation Tables & Graphics with SPSS Techniques Applied Basic & Advanced Automation Introduction to SPSS Text Intermediate Statistics with SPSSquesSurveys Analysis for Complex Samples How to Conduct a Categorical Data Analysis Advanced Statistics Survey from A-Z & Logistic Regression Survey Methodology Introduction to Regression with SPSS “Excellent course. Very comprehensive. Of huge benefit in knowing what statistics to use where and how to get the most out of questionnaires. ” - Marie Power, Farrell Grant Sparks Consulting For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie x
  • 14. Course Maps by Role I use SPSS for Survey Data Collection & Management This course map is ideal for you if your organisation would like to gather and manage feedback. These courses will demonstrate how to conduct sophisticated survey research to extract valuable insights. If you would like to maximise your ability to cover the research value chain in terms of collecting, processing and publishing data results efficiently, then this map is the best choice for you. Core Courses Complementary Courses Dimensions Scripting: Dimensions Survey Creation Data Management I Dimensions Administration: Dimensions Scripting: Web Data Management II Advanced Automation Dimensions Scripting: Dimensions Scripting: with SPSSques Report Creation Survey Creation I Dimensions Administration: Dimensions Scripting: Telephone Survey Creation II Dimensions Administration: Dimensions Survey Paper Presentation Dimensions Survey Dimensions Survey Analysis Translation Quancept Scripting for mrInterview “ Very useful course for beginners and also as a refresher to statistical concepts. Good to have many examples. More practical knowledge gained. ” - Tania Percy, South Yorkshire Police For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie xi
  • 15. Course Role Relevance Page Getting Started Introduction to SPSS 1 Introduction to SPSS & Statistics 2 How to Conduct a Survey from A-Z 3 Dimensions Survey Creation 4 Analysis, Reporting & Automation Introduction to SPSS Text Analysis for Surveys 5 Data Quality & Validation 6 Reporting with SPSS Tables & Graphics 7 Introduction to Automation with SPSS 8 Intermediate Automation with SPSS 9 Advanced Automation with SPSS 10 Data Manipulation Techniques 11 Dimensions Survey Presentation 12 Dimensions Report Creation 13 Statistical Analysis Applied Basic & Intermediate Statistics 14 Introduction to Regression with SPSS 15 Categorical Data Analysis & Logistic Regression 16 Introduction to SPSS Classification Trees 17 Cluster & Factor Analysis 18 ANOVA Techniques 19 Time Series Analysis & Forecasting 20 Survival Analysis 21 Data Analysis & Statistical Analysis & Business Analysis/ Expert in Health Survey Survey Data Collection Reporting Report Automation Market Research Predictive Analysis Research Analysis & Management xii
  • 16. Course Role Relevance Page Statistical Analysis Structural Equation Modelling using AMOS 22 Survey Methodology 23 Biostatistics 24 Advanced Statistics 25 Complex Samples 26 Business Intelligence 27 Introduction to Data Mining 28 Introduction to Clementine 29 Advanced Modelling with Clementine 30 Market Segmentation 31 Advanced Market Research 32 Workshop on Market Research Methods 33 Data Collection & Management 34 Dimensions scripting: Survey Creation I 35 Dimensions Scripting: Survey Creation II 36 Dimensions Survey Analysis 37 Dimensions Survey Translation 38 Quancept Scripting for mrInterview 39 Dimensions Scripting: Data Management I 40 Dimensions Scripting: Data Management II 41 Dimensions Administration: Paper 42 Dimensions Administration: Telephone 43 Dimensions Administration: Web 44 Data Analysis & Statistical Analysis & Business Analysis/ Expert in Health Survey Survey Data Collection Reporting Report Automation Market Research Predictive Analysis Research Analysis & Management xiii
  • 17. Training Schedule 2007 - 2008 Course Nov Dec Jan Feb Mar Apr May June July Getting Started Introduction to SPSS 20-21 22-23 10-11 19-20 23-24 3-5, Introduction to SPSS & Statistics 6-8 4-6 15-17 4-6 31- -2 6-8 3-5 How to Conduct a Survey from A-Z 18-19 13-14 16-17 Dimensions Survey Creation 14-15 Analysis, Reporting & Automation Introduction to SPSS Text Analysis for Surveys 14-15 25-26 9-10 Data Quality & Validation 11-12 26-27 Reporting with SPSS Tables & Graphics 18-19 12-13 Introduction to Automation with SPSS 22 20 11 Intermediate Automation with SPSS 24 9 Advanced Automation with SPSS 18 Data Manipulation Techniques 11-12 21-22 2-3 Dimensions Survey Presentation 25 Dimensions Report Creation 15 Statistical Analysis Applied to Basic & Intermediate Statistics 29-30 28-29 Introduction to Regression with SPSS 1 22 14 Categorical Data Analysis & Logistic Regression 12-13 25-26 Introduction to SPSS Classification Trees 3 Cluster & Factor Analysis 13 9 ANOVA Techniques 7-8 Time Series Analysis & Forecasting 18-19 Survival Analysis 27-28 7-8 21-22 For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie xiv
  • 18. Training Schedule 2007 - 2008 Course Nov Dec Jan Feb Mar Apr May June July Statistical Analysis Structural Equation Modelling using AMOS 6-7 Survey Methodology 31- -1 Biostatistics 27-28 Advanced Statistics 25-27 Complex Samples 14 Business Intelligence Introduction to Data Mining 10-11 Introduction to Clementine TBA 28-30 Advanced Modelling with Clementine 19-20 Market Segmentation 16-17 Advanced Market Research 12-13 Workshop on Market Research Methods 15-16 Data Collection & Management Dimensions Scripting: Survey Creation I 20-21 Dimensions Scripting: Survey Creation II 30- -1 Dimensions Survey Analysis 23 Dimensions Survey Translation 27 Quancept Scripting for mrInterview 23-24 Dimensions Scripting: Data Management I 28-29 Dimensions Scripting: Data Management II 4 Dimensions Administration: Paper 30- -1 Dimensions Administration: Telephone 6 Dimensions Administration: Web 18 For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie xv
  • 19. Getting Started with SPSS Introduction to SPSS Duration: 2 days Introduction This course introduces the new user to the power and functionality of SPSS as a data analysis tool. The course covers: - Accessing data entry and import from other media such as Excel - Manipulating data to create new data fields - Presenting data. Tabular and graphical output for analysis and reporting - Exploratory data analysis On completing this course, you should be confident in leveraging the power of SPSS. This course will enable you to access data and create bespoke, high quality reports and output for monitoring data, thus enabling decision support. Course Content Target Audience Following an overview of the main features of This course targets those with little or SPSS and an introduction to essential no SPSS experience, who wish to become terminology, you will be guided through efficient and productive SPSS users. the following topics: Data definition and access - Defining variables and entering data using the built-in Data Editor Prerequisites - Defining the templates for regular use - Applying dictionary information from another file Keyboard and mouse skills. Experience of - Importing data from spreadsheets & other applications working in the Windows environment and an understanding of the key Windows Data modification features. - An overview of capabilities - Computing new variables and recording data values - Selecting subsets of the data - Splitting data files to obtain sub-group summaries Data analysis and presentation - - Levels of measurement (types of data) Summarising variables using frequencies & descriptives “ Great course, good level of expertise acquired, very - - Exploring relationships between variables Producing and editing charts relevant to my day-to-day job ” - Using the output navigator - Aisling O' Sullivan, - Creating and using pivot tables Tourism Ireland Session control and help with SPSS Ireland - Utilising the help system and statistical glossary - Link SPSS output with other applications For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 1
  • 20. Getting Started with SPSS Introduction to SPSS and Statistics Duration: 3 days Introduction This course introduces you to the power and functionality of SPSS as a data analysis tool and covers standard exploratory statistical analysis of data. The course will cover: - Accessing data entry and import from other media, such as Excel - Manipulating data to create new data fields - Presenting data. Tabular and graphical output for analysis and reporting - Exploratory data analysis - Assessing whether significant differences exist between groups - Assessing whether significant associations/correlations exist between data fields - Basic trend analysis On completing this course, you should be confident in leveraging the power of SPSS. You will be able to access data and create bespoke, high quality reports and output for monitoring data and enabling decision support. This includes the ability to draw conclusions from the data based on powerful statistical analysis. Course Content Target Audience Following an overview of the main features of This course is designed for those wishing SPSS and an introduction to essential to learn how to enter, modify, analyse and terminology, you will be guided through present data using SPSS. the following topics: Prerequisites Data definition and access Keyboard and mouse skills. Experience of - Defining variables and entering data using the built-in working in the Windows environment and Data Editor - Applying dictionary information from another file an understanding of the key Windows - Importing data from spreadsheets & other applications features. Some prior basic statistical Data modification knowledge is assumed due to the pace of the course. - Computing new variables and recording data values - Selecting subsets of the data - Splitting data files to obtain sub-group summaries Data analysis and presentation “presented with a clear overview Course was excellently of research and statistics - Levels of measurement (types of data) principles and the SPSS software - Summarising single variables using frequencies & descriptives package. I found it challenging - Bar charts, histograms and boxplots - Summaries of central tendency (e.g. mean, median and mode) but very informative and a useful - Summaries of spread and shape (e.g. standard deviation, skewness) The ‘normal distribution’ and its importance introduction to SPSS ” - Producing crosstabulation tables and testing for significant - Paul Sheehan, relationships with chi-square Cork Simon Community - Assessing relationships between continuous variables through plots and correlations - Testing for significant differences between means using t-tests - Producing and editing high quality charts using the integrated SPSS graphics - An introduction to producing clear and concise summary reports For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 2
  • 21. Getting Started with SPSS How to Conduct a Survey from A to Z Duration: 2 days Introduction This course will enable you to set up a survey, from designing questions and determining sample size through to final reporting of results. You will understand how to prepare for analysis, determine relationships in the data and present results graphically and in tables. The course covers: - Survey set up and data collection - Sample size determination - Determination of associations in the data - Presenting the results of analysis On completing this course you will understand how to design, analyse and report on survey data, and how to draw evidence based conclusions from the data. Course Content Target Audience Conducting surveys and designing questionnaires This course is designed for anyone who is - Essential methods of data collection setting up surveys and producing concrete analysis via tables, charts and statistics - Calculation of sample size (How many respondents will your survey need) for report writing purposes. - Effective question design - Response rates and how to get the most from your questionnaire This course can be tailored to those - Pre-testing and conducting a suitable pilot study undertaking any type of survey or research project. Entering data - Recognition of different variable types and setting up a data set - Creating new variables, customising the questionnaire Prerequisites and some ‘tricks of the trade’ No special keyboard or mouse skills - Reading in a text data file into SPSS necessary. No prior knowledge of SPSS or How to analyse findings for report purposes Statistics required. - Report findings using tables and charts - Analysing multiple response questions and prepare them for analysis - Report relationships between variables to explore significant associations - Make your data more presentable for reports (editing charts and pivot tables for more impact) - Testing reliability of answering “lot of material. I feel muchamore Excellent course, covered confident in being able to run, analyse and report on survey findings ” - Damien McNally, NISRA For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 3
  • 22. Getting Started with SPSS Dimensions Survey Creation Duration: 2 days Introduction After the survey design phase, the next tangible stage of a project for researchers involves creating survey questions, instructions and logic. This course covers the basics of creating questionnaires for web and telephone interviewing using the web-based interfaces available with DimensionNet. The course covers all aspects of making a simple survey, applying pre-existing looks to the survey, setting up, using and inviting a sample of participants to take the survey. It also demonstrates how to deploy the survey, check top-line results of survey questions and export the respondent data to a data file. Course Content Target Audience Areas covered will include: Staff that will be using the web-interfaces of DimensionNet to create and deploy - Creating a survey with the easy to use web-interface surveys through Dimensions. This course application is appropriate for System Administrators - Applying pre-made template to your Build script to enhance to obtain an overview of the end users’ the look and feel project process, flow and steps. - Running a test survey to check the questionnaire - Learning to apply a pre-determined sample management script to your questionnaire. Sample Management allows Prerequisites you to track the people taking the survey, as well as making Understanding of survey creation and the sure respondents only take the survey once (if applicable) collection process would be helpful, but - Activating the survey for live production not required. - Using the Reporting Tools. Learning to create top-line results of the data collected with mrInterview with the online reporting tool - Exporting Data. Learn to export the results of your questionnaire to SPSS, Quantum ASCII, XML or any format with an existing Data Source Component “ Very useful course for beginners and also as a refresher to statistical concepts. Good to have so many examples. More practical knowledge gained ” - Tania Percy, South Yorkshire Police For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 4
  • 23. Analysis, Reporting & Automation Introduction to SPSS Text Analysis for Surveys Duration: 2 days Introduction This course enables you to automatically extract information for analysis from replies to open ended questions or comments, typically arising in survey questionnaires. Using Natural Language Processing, the “concepts” or topic categories being mentioned in the text fields are identified, categorised, analysed in themselves and in association with other data. Finally this is reported to maximise the information inherent in the data gathered. The course covers: - The importance of free text data and understanding how to use it in analysis - Automatically extracting and categorising text responses - Manipulating categories - Category analysis and associations - Saving and reusing the analysis on other data On completing this course, you will understand how to extract and leverage the information from free text data and how to increase productivity by automating the categorisation process. Course Content Target Audience The following areas will be covered: This course is designed for those with a - Introduction and overview of SPSS Text Analysis for Surveys need to analyse or categorise open ended - Considerations before performing text analysis text. In particular this course is relevant - Projects and help to survey analysts who use open-ended - Data access questions. - Extracting terms - Category creation (automatic and manual) - Exporting categories - Editing dictionaries Prerequisites - Managing libraries and projects Keyboard and mouse skills. Experience of working in the Windows environment and an understanding of the key Windows features. Some practical experience with survey research or analysis is helpful, but not required. “Excellent course for an excellent product ” - Mark McEvoy, Microsoft For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 5
  • 24. Analysis, Reporting & Automation Data Quality and Validation Duration: 2 days Introduction This course will enable you to diagnose your data quality, determine anomalous data in a multivariate setting and streamline the process of data validation. The course will cover basic data quality checking, creating simple and complex data validation rules and identifying anomalous data points for further checking. The course covers: - Data quality, checking and reporting - Creating data validation rules for automatically flagging anomalous data - Determining unusual cases using many data fields On completing this course you will be able to streamline the process of data quality checking and validation. You will also be able to create rules that can be reused periodically and automatically detecting and correcting anomalous data values. Course Content Target Audience Following an overview of data quality and Valuable to all users in order to learn validation you will proceed logically through about data quality and validation issues. the following steps: It is relevant for anyone using data. - Univariate analysis through frequency distributions & Anyone wishing to examine data quality, charts for categorical data understanding how to identify it, adjust - Univariate analysis through summary statistics & charts dirty data and repair it. for numeric data - Data validation and validation rules - Missing value analysis, testing for systematic patterns and imputing values Prerequisites - Anomaly detection, identifying unusual cases in a SPSS Preparation & SPSS Validation multivariate setting modules. - How to deal with ‘bad’ quality data For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 6
  • 25. Analysis, Reporting & Automation Reporting with SPSS tables and Graphics Duration: 2 days Introduction This course enables you to utilise the functionality of SPSS to build bespoke, multidimensional tables and graphs for optimal presentation of information. The course covers: - Presenting data in multidimensional tables - Presenting data using powerful graphical techniques - Controlling output and building bespoke output templates - Statistical analysis for reporting On completing this course, you should be confident in leveraging the power of SPSS to access data and create bespoke, high quality reports. The course will also enable you to create output for monitoring data and enabling decision support, including the ability to draw conclusions from the data based on powerful statistical analysis. Course Content Target Audience Following an overview of reporting the This course is relevant for those who wish course will cover: to create high quality reports and to understand how SPSS can facilitate this - Nesting and stacking variables - Controlling the display in tables process. - Using summary statistics in tables - Creating graphs in SPSS - Choosing types of graphs and modifying graphs - Controlling the display of graphs in SPSS Prerequisites PC literate. You should at a minimum have completed the Introduction to SPSS course. It is also necessary to have attended a SPSS Tables module. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 7
  • 26. Analysis, Reporting & Automation Introduction to Automation with SPSS Duration: 1 day Introduction This course enables you to automate repetitive or periodic analysis & reporting using the SPSS command language, Syntax. This course will enable you to perform an analysis or create reports; then by using SPSS automation functionality you will be able to rerun these analyses or reports periodically. This course enables a massive increase in your productivity. Course Content Target Audience Following an overview of the main features of Anyone who wishes to automate their SPSS and an introduction to essential terminology, reports, run reports periodically and you will proceed logically through the re-use data analysis. following topics: Accessing SPSS syntax via - Windows based push buttons - Accessing and modifying syntax produced in the journal file Prerequisites SPSS syntax structure The course provides you with the essential - General introduction to the basic structure of a syntax file skills and knowledge required to become - Overview of rules for running syntax in interactive and batch an effective and productive user of SPSS mode syntax. Production facility - An overview of capabilities of the SPSS production facility Variable definition - Overview of the procedures for creating string and numeric variables - Procedure for adding variable labels and value labels - Procedure for changing the formats of string and numeric variables - Procedure for conversion of string variables to numeric and vice versa Opening files - Opening SPSS files “the versatility of Syntax Excellent course showing - Procedure for dropping variables and ordering remaining variables - Renaming variables Compute functions – Diane Eller, Northern Ireland ” - An overview of compute functions via syntax IF statements - Overview of conditional transformations using IF statements as well as DO IF, ELSE, IF, END, END IF For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 8
  • 27. Analysis, Reporting & Automation Intermediate Automation with SPSS Duration: 1 day Introduction This course enables you to make further advances in increasing productivity by using syntax to automate complex data manipulation tasks. You will learn how to perform operations on data and run these analyses periodically to reduce the amount of time spent on recurring data analysis, monthly reports for example. By the end of the course you will have learned: - Data manipulation operations using SPSS Syntax - Performing conditional logical operations on segments of the data. - Introduction to macros - Practical examples of syntax - Handling missing data automatically - Introduction to macros, using syntax on an on-going basis Course Content Target Audience Following an overview of automation and Anyone who would like to increase their reporting the course will cover: expertise in automating reports, running reports periodically and re-using data - Overview of data manipulation commands analysis in a more complex forms. in SPSS - Logical operations using the DO IF and DO REPEAT commands Prerequisites PC literate. You should at a minimum have completed the Introduction to Automation with SPSS course. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 9
  • 28. Analysis, Reporting & Automation Advanced Automation with SPSS Duration: 1 day Introduction Advanced Automation with SPSS enables the experienced syntax user to progress on to writing SPSS macros and using SPSS scripting. This course will further your expertise in applying the syntax programming language to use and reuse complex data manipulation as well as reporting across many projects, rather than writing syntax for each individual project. By the end of the course you will have learned - Data manipulation operations using SPSS Syntax - Performing conditional logical operations on segments of the data - Introduction to macros Course Content Target Audience Following an overview of automation This is relevant forthose working with the course will cover: very complex data analysis. Anyone wishing to be able to write macros and - Overview of conditional operations in syntax automate data analysis projects. - Practical examples of syntax in operation - Using the LAG function - Building macros - Calling macros Prerequisites - Introduction SPSS Scripting PC literate. You should at a minimum have completed the Intermediate Automation with SPSS course. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 10
  • 29. Analysis, Reporting & Automation Data Manipulation Techniques for SPSS Duration: 2 days Introduction During this course you will be introduced to a range of data management and manipulation techniques, which will allow you to manage and merge multiple files. It will also enable you to perform complex calculations across numeric, text and date fields and finally managing the output to create reports. The course will also introduce you to SPSS command syntax, which will enable you to audit, reuse and automate SPSS operations. The course covers: - Complex calculations on numeric data, text data and dates - Working with data with multiple responses - Appending new data to existing data - Merging new data to existing data - Manipulating data files by aggregating over values of a variable(s), e.g. aggregating analysis to county level. On completion, you should be confident managing multiple datasets and leveraging the power of SPSS to perform complex calculations on data for generating more sophisticated output. You will gain an understanding of the SPSS command syntax, which will increase your productivity by automating regularly performed tasks. Course Content Target Audience After a recap of the main issues in defining, This course is a natural follow-on to the modifying and analysing data (as covered on the “Introduction to SPSS” course. It is Introduction to SPSS course) the following topics designed for anyone wishing to become will be covered: competent with the full range of file and - Methods of running SPSS – when, why and how to use them data manipulation options, and generally - Using SPSS command syntax increase their efficiency with SPSS. This is - Handling numeric data the highest-level course available for - Complex If, Compute and Select statements - Weighting data SPSS users. - Handling non numeric (string) data - Complex If, Compute and Select statements - Converting string data to numeric data Prerequisites - Handling dates Keyboard and mouse skills. Experience of - Defining dates within SPSS working in the Windows environment and - Date conversion, extraction and calculation an understanding of the key windows - Handling multiple response data - Coding and defining multiple response data in SPSS features. - Summarising multiple response data - Manipulating data files - Combining data files by adding cases and adding variables - Combining data files through a table look-up match - Aggregating data files “with ainteresting course Very lot of tools beneficial - Managing SPSS output to my work. Customer care - Transferring text output into word-processors - Linking output to other packages through object linking from SPSS employees was very and embedding (OLE) - Rules for efficient operation and trouble shooting welcoming and good as usual! ” - Fiona Scullion, CCEA For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 11
  • 30. Analysis, Reporting & Automation Dimensions Survey Presentation Duration: 2 days Introduction This follow-on course assists you in building more diverse presentation formats for your surveys. You will have attended the first Dimensions Scripting (Survey Creation I) course and will have successfully developed and deployed several surveys using the techniques covered in the first course. You will be introduced to the architecture used to render Dimensions surveys and how traditional browser technologies interact with the survey creation. Starting off by examining a “branded” website and identifying the aspects, which are important to get into the look and feel of a survey, you then, through practical experience, will learn how to manipulate the majority of aspects of the presentation of a survey. This includes how to add images, present the survey within a website or pop-up window as well as how to change the survey or question template or using the interaction of Styles and page template. The course finishes with a discussion of best practice tips and tricks. Course Content Target Audience Areas covered will include: Researchers or Scriptwriters who will be responsible for writing, using, or - Survey presentation using Dimensions – understanding the modifying, Dimensions surveys. Advanced philosophy and the practicalities - Decomposing a website to get presentation themes scriptwriters who will modify or enhance - Building and specifying Dimensions survey templates and scripts generated by attendees from the logos Dimensions Scripting (Survey Creation I) - Understanding the implications of using different graphics course. Staff tasked with creating and formats - Building and specifying Dimensions question, error and managing the look and feel of Dimensions navigation templates surveys for the Internet/Intranet. Staff - The use of Custom Style Sheets in survey presentation tasked with integrating Dimensions - Progress bar formatting surveys into websites or other Enterprise - Formatting simple and grid questions using Dimensions Feedback Management systems. Scripting - Embedding the survey in a website - Embedding the survey in Enterprise Feedback Management Prerequisites systems - Linking surveys or sub-surveys together It is necessary to have attended the - Creating a pop-up survey Dimensions Scripting (Survey Creation I) - Client-side vs. Server-side processing philosophies course. Familiarity with HTML/CSS - Tips and Tricks for creating Best Practice guidelines techniques and an HTML editor is highly desirable. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 12
  • 31. Analysis, Reporting & Automation Dimensions Report Creation Duration: 2 days Introduction mrStudio Tables Option is the functionality behind mrTables. The Table Object Model (TOM) is used as an Option to mrStudio, which will allow users to create scripts to run their batch tables on their desktop. The format for the training course will focus on creating and running scripts (code) rather than using interfaces. The Standard activities for those who are responsible for generating table/cross-tabulation runs will be covered. Course Content Target Audience Areas covered will include: Designed for users who will be involved in - Opening different sources of data to use for creating tables the creation of complex cross-tabulations - Creating simple and complex table types using the syntax or code, rather than the - Manipulating the contents of the cells graphical interface of mrTables. You must - Adding statistics to tables - Manipulating the titles of tables purchase mrStudio with the Tables Object - Creating simple and complex filter statements Model Option to utilize the skills learned in - Using weights for tables this course. - Controlling Bases and creating special Elements - Working with Grid questions - Managing the Global document settings and the default tables settings within a script - Export table results to different applications such as PowerPoint, Microsoft Word, and Excel Prerequisites There are no pre-requisites for this course. Familiarity with object-oriented programming, such as Visual Basic Script, would be an advantage. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 13
  • 32. Statistical Analysis Applied Basic & Intermediate Statistics Duration: 2 days Introduction This course will introduce you to the statistical analysis and reporting that is appropriate to addressing research objectives. It will cover how to determine statistically significant relationships in data and how to draw evidence based conclusions based on data analysis. The course covers: - Analysis of relationships in data - Statistical reports and graphs - Drawing conclusions based on statistical analysis On completion you will equipped with the tools to test hypotheses about your data and draw conclusions with confidence arising from a thorough understanding of statistical analysis. Course Content Target Audience Initially, the course will provide an overview of Anyone with an understanding of basic the main design and data collection issues, statistical concepts and may need to use including: inferential statistics in SPSS for their work environment. - Levels of measurement (types of data) and influence of sample size - Data checking and examining statistical significance Additionally, the course is - Interpreting crosstabulations tables and testing for an appropriate refresher for those whose significant relationships with chi-squared and other main statistical experience was gained associations measures (Kendall’s Tau, Phi, Gamma) - Looking for relationships through plots, assessing the many years ago. strength of relationships using correlations - Calculating group means and testing for significant difference between pairs of group means using t-tests (Independent and Paired Samples) Prerequisites - Calculating mean difference between two or more groups using one-factor anova including a range of post-hoc tests Basic familiarity with SPSS Base, (Scheffe, Bonferroni, LSD, Games-Howell) (e.g. data/ file handling and command - Continue to calculate mean differences with two-way factor building) anova and understand its significance - Introduction to regression analysis (linear equation, residuals, simple, stepwise and multiple regression) For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 14
  • 33. Statistical Analysis Introduction to Regression with SPSS Duration: 1 day Introduction You will be introduced to the concept of regression, a statistical model, which explains the relationship between a target data field and predictor variables. Regression analysis yields a regression equation that allows estimation of the target variable based on the predictor variables and yields an understanding of the hierarchy of importance of these predictor variables. The course covers: - Regression models, applications and assumptions - Determining significant relationships between predictors and outcome variables - Building regression models - Making predictions from regression models On completing this course you will understand how and when to use regression techniques to further their understanding of relationships between data fields and how to use regression models to make predictions about the value of a target variable. Course Content Target Audience Topics that will be covered include: This course applies to those who want to build and apply regression models for Linear Regression predictive purposes using linear and - Assumptions, aims and applications logistic regression techniques. - Simple linear regression - Multiple regression – selecting the predictor variables - Stepwise and other regression methods - Assessing the fit of the model through summary statistics - Checking for violations of assumptions Prerequisites - Using the regression model for prediction PC literacy. Familiarity with SPSS Logistic Regression including: variable definition, entering - Assumptions, aims and applications and editing data, opening and saving - Selection of predictors and model specification data files, generating basic exploratory - Utilising categorical predictor variables statistics (including frequency tables and - Assessing the model and the significance of predictors crosstabulations) and the compute and recode procedures. Other prerequisites include an understanding of measures of central tendency and dispersion and hypothesis testing. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 15
  • 34. Statistical Analysis Categorical Data Analysis & Logistic Regression Duration: 2 days Introduction This course enables you to both rigorously evaluate relationships that exist between data fields making up a table report. Additionally you will learn how to build statistical models that determine the relationship between predictor data fields and a binary (Y,N) response. Logistic regression allows the researcher to build a model that predicts a binary outcome and determines the hierarchy of importance of predictor data fields. The course covers: - Analysis of tables and measures of association between data fields - Building logistic regression models to predict a binary response - Determining relationships between a binary response and predictor data fields - Extending analysis to responses with more than two response categories On completing this course the attendee will understand how and when to use logistic regression techniques to further their understanding of relationships between data fields and how to use regression models to make predictions about the value of a binary target variable. Course Content Target Audience Topics covered include: This course is suitable for researchers and/or data analysts that are interested in - Introduction to categorical data analysis gaining an understanding of categorical - Contingency table analysis - Measures of association in categorical data data analysis, in particular - Modelling trend understanding the theory and - Logistic regression – odd ratios techniques involved in logistic - Logistic regression – interaction and model fitting regression and linear regression. - Logistic regression – model fitting and checking - Elements of modelling for multi-way tables Prerequisites You are not required to have any familiarity with statistical software, however a basic knowledge of SPSS would be an advantage. It is necessary to “itI will be ofthe course; enjoyed great benefit have a basic knowledge of statistics. to my professional (and academic) work in the future - thanks! ” - Sharyn Carley, St Brigid's Hospital Balinasloe For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 16
  • 35. Statistical Analysis Introduction to SPSS Classification Trees Duration: 2 days Introduction This course enables you to determine segments or cohorts in data, with your unique profile that are associated with a target data field. Classification trees will determine the key drivers associated with the target data field and the segments in the data that are particularly associated with certain outcomes. The course covers: - Different types of tree algorithms - Determining optimum splits in the data to reveal latent cohorts associated with particular outcomes - The key drivers associated with an outcome variable On completion you will be familiar with a range of classification tree methods that allow the you to build predictive models for target data fields and understand the key drivers associated with the target data field. Course Content Target Audience Areas covered will include: Analysts building prediction or classification models for which many - Overview of Features in SPSS Classification Trees - Overview and Comparison of Tree-Structured Methods predictor variables of different types - Applying dictionary information from another file may be involved. Survey and Market - CHAID Analysis researchers who need to perform - Additional Features and CHAID Extensions automated classification or - CRT Classification Trees segmentation analysis. - CRT Regression Trees - Tree-Structured Methods - QUEST Analysis This course will appeal to those - Recommendations and Tips wishing to find a means of targeting or identifying sub-groups of a population and who work primarily with categorical data, but who may have some continuous data. Prerequisites Familiarity with the Windows interface. Knowledge of basic statistics through regression (topics covered in Statistical Analysis Using SPSS) is very useful. Those with advanced statistical training in predictive models (for example discriminant, logistic regression –covered in Advanced Statistics Using SPSS for Windows or Market Segmentation Using SPSS) will gain more from the seminar. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 17
  • 36. Statistical Analysis Cluster and Factor Analysis Duration: 1 day Introduction This course provides you with a comprehensive understanding of two powerful statistical techniques, used primarily to summarise large amounts of data into a small number of understandable key components. Cluster analysis will allow you to determine how many groups or “clusters”, with their own unique profile, exist in the data. Factor analysis will allow you to determine how many and identify what are the underlying factors or key drivers in the data. The course covers: - Cluster analysis, determine how many unique clusters exist in data - How to determine the profiles of these clusters - Factor analysis, determine how many unique key factors exist in data - How to interpret these key factors After completeing the course you will understand how to interrogate your data to uncover latent information, reducing large volumes of data to a few easily understandable concepts, like cluster profiles or key factors. Course Content Target Audience After an initial overview of their assumptions, Anyone wishing to gain a solid aims and applications, you will be guided through understanding of data reduction these topics: techniques and understanding Factor Analysis and Principal Component Analysis factorsinfluencing behaviour. - The correlation matrix – identifying variables for inclusion and handling missing data Those wishing to determine what - Factor extraction – choosing the method and number of factors groups or clusters exist in their data - Assessing the fit of the model through plots and statistics and how todetermine their profile. - Rotating the factors to improve interpretability - Computing factor scores for use in follow-up analysis Cluster Analysis Prerequisites - Selecting the variables and deciding on transformations PC literacy. Familiarity with SPSS - Choosing a distance measure and setting clustering criteria including: variable definition, entering - Assessing different solutions - Saving cluster group membership for use in follow-up analysis and editing data, opening andsaving - Handling large data sets (Quick Cluster/ K-Means Cluster) data files, generating basic exploratory statistics (including frequency tables and crosstabulations)and the compute and recode procedures. Other essential prerequisites include an understanding of measures of central tendency and dispersion, hypothesis testing, using interactive charts and editing and saving output. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 18
  • 37. Statistical Analysis ANOVA Techniques Duration: 2 days Introduction This course introduces you to the concept of Analysis of Variance, a statistical model that determines whether significant differences exist between groups with respect to an outcome variable and . The course will further enable you to determine what groups exhibit significant differences from each other and how. The course covers: - ANOVA techniques, which one to use and when - Determining whether and where significant differences exist between groups Course Content Target Audience The main techniques outlined on the course are: Those who need to develop an understanding of Analysis of Variance - Paired and independent samples t-test and related techniques. - Non-parametric equivalents to the t-test - One-way analysis of variance - Non-parametric equivalent to one-way anova This applies to anyone who wishes to be - Factorial analysis of variance able to detect differences between groups - Analysis of co-variance on one or more key measures. - Repeated measures analysis of variance - Multivariate analysis of variance Prerequisites A thorough understanding of basic statistical principles such as levels of measurement, measures of central tendency and dispersion and hypothesis testing. Although the course includes a review of the t-test, you should possess an understanding of the various forms of the technique. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 19
  • 38. Statistical Analysis Time Series Analysis and Forcasting Duration: 2 days Introduction This course enables you to forecast the value of a target data field some time in the future using sophisticated statistical analysis techniques. In addition you will understand how to evaluate the key drivers affecting the predicted outcome and carry out a “what if” analysis on the future value of the target data field. The course covers: - Features of data collected over time; time series data - Understanding statistical forecasting - Making forecasts & understanding the key drivers - Carrying out a “what if” analysis On completing this course you will understand how and when to use forecasting tools to make predictions about the future and understand the contribution of other factors to the forecasted outcome. Course Content Target Audience The course can be broken down into Anyone with time series data to model three main areas: and anyone to wishing gain a sound The fundamentals of time-series data understating of when, why and how to build models for their time series data. - Introduction to (quantitative) forecasting and an overview of the techniques - The model building process: identification, estimation and diagnosis Modelling non seasonal data Prerequisites - Simple curve-fitting (Curve-fit command) PC literate. Familiarity with SPSS - Exponential smoothing models (Exsmooth) including variable definition, entering and - Ordinary least square regression with time-trend variables editing data, opening and saving data - Modelling auto-correlation using autoregression (AREG) files, generating basic exploratory and - ARIMA (Boz-Jenkins) models the compute and recode procedures. Modelling seasonal data Other essential prerequisites include an - Exponential smoothing models for seasonal data understanding of measures of central - Seasonal decomposition - Seasonal ARIMA (Box- Jenkins) models tendency, dispersion and hypothesis testing. Please note that the trends module is required for this course “The examples were very good. Excellent course for general introduction to subject.” - Ajay Oza, HSE, HSPC For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 20
  • 39. Statistical Analysis Survival Analysis using SPSS Duration: 2 days Introduction Survival data is generated by observing a population (or group) over time and recording the time to some particular event occurring. Usually the survival data also has associated covariates or risk factors. The course focuses on the analysis of survival data from initial estimation to modelling the survival response on associated risk factors. You will have gained a sound understanding of the theory of Survival Analysis and with particular emphasis placed on understanding the output generated from SPSS analysis. You will understand special features of survival data, such as censoring and the Kaplan-Meier estimate. You will also be able to build regression models for survival data. Course Content Target Audience Areas covered will include: Survival analysis, also known as reliability analysis, is used in estimating “time to - introduction to survival data - Hazard functions event”; the event most usually being - Censoring death or occurrence of some adverse - Non-parametric methods medical condition in the medicalsciences, -Life Tables or till a part fails in the engineering -Kaplan-Meier estimates - Comparison of two groups of survival data sciences. - Parametric models for survival data - Regression methods for survival data The target audience is anyone interested in the analysis of “time to event” data, from both a theoretical and practical perspective. Prerequisites PC literacy. Familiarity with SPSS including: variable definition, entering and editing data, opening and saving data files, generating basic exploratory statistics (including frequency tables and cross-tabulations) and the compute and recode procedures. Other essential prerequisites include an understanding ofmeasures of central tendency and dispersion, hypothesis testing, using charts and editing and saving output. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 21
  • 40. Statistical Analysis Structural Equation Modelling using AMOS Duration: 2 days Introduction This course provides you with a thorough grounding in Structural Equation Modelling, SEM, a methodology that allows the analyst to test for relationships between data fields. SEM takes the analyst one step further than traditional regression methodology can. The course covers: - Basics of Structural Equation Modelling - Analysis of relationships between variables and model building - Model testing and diagnostics On completing this course, you will understand when, where and how to use Structural Equation Modelling to test for and evaluate the relationships between data fields. Course Content Target Audience Areas covered will include: Individuals with an interest in Structural Equation Modelling who are interested in - Overview of structural equation modelling getting up to speed quickly and efficiently - Simple regression models with Amos on Amos 6.0. The course covers the basics - Confirmatory factor analysis models and also advanced topics in SEM. - Specifying applied regression, factor analysis, and structural regression models - Tests of model adequacy and fit - Identification problems in factor analysis and structural Prerequisites equation models - Structural equation models with means and intercepts, for Some experience in multiple regression is trend analysis and exact predictions strongly recommended. Knowledge of - Multi-group models, with and without constraints across factor analysis would be helpful. groups - Amos's efficient modeling approach for incomplete or missing data - Analysis of non-normal data: Applications of the bootstrap method to estimate empirical standard errors and confidence intervals of parameter estimates, and to obtain robust tests of model fit - Bayesian methods of estimation For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 22
  • 41. Statistical Analysis Survey Methodology Duration: 1 day Introduction This course provides you with a comprehensive understanding on the methodologies of survey research to address research objectives. This includes discussion of differing survey types and sampling methodologies, designing questionnaires and conducting pilot studies. The course covers: - Addressing research aims - Determining appropriate survey types and methodologies - Questionnaire design - Pilot studies - Sample size calculation and response rates On completion of this course you will understand how best to design and carry out a survey to address their research objectives. Course Content Target Audience Areas covered will include: This course is designed for anyone who - Specification of objectives (specific areas to research) is setting up surveys and needs to learn - Essential methods of data collection (Which would the practice of survey research. suit you best) - Calculation of sample size (How many respondents does your survey need) - Ability to write questions to suit all scenarios - Effective questionnaire design - Response rates and how to get the most out of your questionnaires Prerequisites - Pre-testing and conducting a suitable pilot study No prior knowledge of survey research is required. No computer will be used. The operation of SPSS is not taught. This course is available for non-SPSS users. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 23
  • 42. Statistical Analysis Biostatistics Duration: 1 day Introduction During this course you will be given a solid grounding in the principles and practices of statistical analysis and reporting in the bio-sciences. The course provides you with an understanding of key statistical techniques in research and how to draw conclusions and report results with confidence. The course covers: - Summary statistics, calculation & presentation - Hypothesis testing and drawing conclusions from data - Measures of association & correlation On completing the course you will have an understanding of how to answer research questions in the biosciences through statistical data analysis. Course Content Target Audience Topics include: Individuals from a biological science background that are interested in gaining - Origins of data - Study design an understanding of biostatistics. - Summarising data This course would also be an appropriate - Numerical summaries of data course for those who wish to refresh - Presenting data their knowledge of biostatistics. - Probability - The normal distribution and normalising data Prerequisites - Parametric and non-parametric methods - Point estimation and confidence intervals It is not required to have any - Hypothesis testing and significance familiarity with statistical software, - Regression and correlation however a basic knowledge of SPSS would - Analysis of cross-tabulations using x2 distribution be an advantage. It is not necessary to - One-way classifications: analysis of variance have any knowledge of statistics. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 24
  • 43. Statistical Analysis Advanced Statistics Duration: 2 days Introduction You will be introduced to a range of advanced statistical modelling techniques during this course. It covers all the major statistical models including how and when they are used. This will enable you to make an informed choice as to the best mode of analysis for your particular research question. The course covers: - A broad range of statistical models - What questions are best addressed by certain statistical techniques - Data considerations for choice of optimal techniques - Evidence based modelling and reporting On completing this course you will be in a position to determine how best to address a research question. This will be based on the type of data involved and choosing the optimal technique from a range of possibilities. You will also be versed in how to apply this understanding to data using the range of statistical techniques available in SPSS. Course Content Target Audience Areas covered will include: Anyone who has worked with SPSS for Windows and wants to become better - Overview - Discriminant analysis versed in the more advanced statistical - Binary logistic regression capabilities of SPSS for Windows. - Multinomial logistic regression - Survival Analysis (Kaplan-Meier) Anyone who has a solid understanding of - MANOVA: multivariate analysis of variance statistics and wants to expand their - Loglinear analysis knowledge of appropriate statistical - Cluster analysis - Factor analysis procedures and how to set them up using - Repeated Measures ANOVA SPSS. - Exploring relationships between variables - Producing and editing charts - Using the output navigator Prerequisites - Creating and using pivot tables On the job statistical experience or completion of the Statistical Analysis using SPSS and/or Intermediate courses. Advanced statistical knowledge or at least two college level courses in Statistics. SPSS for Windows Base System, SPSS Advanced Statistics, SPSS Professional Statistics. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 25
  • 44. Statistical Analysis Complex samples Duration: 2 days Introduction A thorough grounding in sampling methodologies and how to gather and analyse these data in SPSS will be covered by this course. It allows you to select a sample according to a complex design and incorporate the design specifications into the data analysis, thus ensuring that your results are valid. The course covers: - Sampling from a population, from simple random sampling, stratified sampling to multistage sampling with and without replacement - Building a sampling plan - Analysis and reporting of results On completing this course you will understand the underpinnings of successful survey sampling, how to design an optimal sampling plan and carry out analysis, deriving the most information from their resource commitment. Course Content Target Audience Areas covered include: This course targets survey researchers who conduct studies that involve complex - Sampling basics samples as well as analysts who work - Probability non-probability samples - Sampling error with survey data from complex samples. - A sample SPSS Complex Samples session - Setting up a sampling plan including stratification, clustering and one & two stage sampling designs - Entering an existing sampling plan - Data format and entry Prerequisites - Frequencies and descriptive summaries On-the-job experience with SPSS for - Crosstabulation tables and tests of independence - Ratio estimation Windows or completion of the Introduction - General Linear Models, (T-Tests and Linear regression) to SPSS or Statistical Analysis with SPSS - Logistic Regression courses. Basic knowledge of statistics and sampling methodology will be helpful. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 26
  • 45. Business Intelligence Introduction to Data Mining Duration: 2 days Introduction The objective of this course is to introduce you to the new data mining techniques and the most effective ways in which to use them. The course will identify what issues are best addressed by data mining and in what context. An overview of the techniques is also covered. Course Content Target Audience Areas covered will include: Anyone who is seeking an introduction to data mining and it’s benefits. - Introduction to data mining - Overview of data mining - The difference between data mining and statistics - Problems addressed by data mining - Data algorithms: -For predictions -Classification -Segmentation Prerequisites -Association -Dimension reduction None. - When to use which algorithms For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 27
  • 46. Business Intelligence Introduction to Clementine Duration: 2 days Introduction This course provides you with an overview of data mining and the fundamentals of using SPSS Clementine. The principles and practice of data mining are illustrated using the CRISP-DM methodology. The course structure follows the stages of a typical data mining project, from reading data, to data exploration, data transformation, modeling, and effective interpretation of results. The course provides training in the basics of how to read, explore, and manipulate data with Clementine, and then create and use successful models. Course Content Target Audience Areas covered will include: Anyone with little or no experience of using SPSS Clementine or of data mining - Introduction to data mining - The CRISP-DM methodology in general. - Best practices for data mining - The basics of using Clementine - Reading data files - Auditing and exploring data quality - Data manipulation - Searching for relationships among fields Prerequisites - Selecting data - Partitioning data for modeling General computer literacy. Attendees will - Modeling techniques in Clementine also greatly benefit if they have an - Creating models with decision trees understanding of their organisation’s data - Evaluating and comparing model performance and knowledge of their organisation’s - Deploying and using models - Appendix A: Stream properties business issues that are relevant to the - Appendix B: Running SPSS commands from Clementine use of data mining. No statistical - Appendix C: Other Clementine features/software background is necessary. “itI was exceptionally interesting really enjoyed the course, and well paced. I think it will be extremely beneficial in my work. ” - Padraig O'Brien, AIB For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 28
  • 47. Business Intelligence Advanced Modelling with Clementine Duration: 2 days Introduction This two-day course is designed for current users of Clementine. It reviews the expert options available in the Clementine modeling dialogs (neural networks, rule induction, clustering and association rules, linear and logistic regression). The course also introduces advanced modeling methods, such as meta modeling. Course Content Target Audience Areas covered will include: Users of Clementine who want a deeper - Data preparation for modeling understanding of the models and - Neural networks for classification modeling capabilities within Clementine. - Advanced rule induction - Techniques for clustering - Advanced association rules - Linear Regression - Logistic Regression - Data Reduction: Principal Components Prerequisites - Getting the most from models (meta models, error modeling) Experience with Clementine or completion of the Introduction to Clementine training course. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 29
  • 48. Business Intelligence Market Segmentation Duration: 2 days Introduction This course enables you to discover latent patterns in data to drive marketing initiatives. The course will enable the attendee to segment their data into peer groups of individuals that exhibit similar characteristics or responses to give an understanding of the key drivers of their behaviour. The course covers: - Determining the number of unique homogeneous segments of customers and their profile - Determining key drivers of customer behaviour and attitudes - Response based segmentation, what customers are likely to make particular responses (e.g. purchase a product Y,N) and what are the key drivers of particular responses On completing this course you will have a thorough understanding of the principles and practice of segmenting customer data based on their behaviour and understanding the profiles of these segments. Course Content Target Audience Areas to be covered include: This course targets anyone who has worked with SPSS for Windows and is - Overview of market segmentation methods interested in knowing more about the - Cluster analysis basics appropriate procedures for market - Running a cluster analysis - Factor analysis basics segmentation. - Factoring methods and recommendations - Running a factor analysis - Response-based segmentation Prerequisites - Logistic regression - Discriminant analysis Some experience with SPSS for Windows or completion of either of the Introduction to SPSS courses. Basic statistical knowledge or at least one college level course in statistics would be helpful. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 30
  • 49. Business Intelligence Advanced Market Research Duration: 2 days Introduction This course empowers you to use several statistical techniques used in market research to better understand, develop, and position products and services. You will learn how to understand customer perceptions and trade-offs among different product characteristics. You will also beable to determine relationships between them and derive evidence based conclusions from statistical analysis. The course covers: - The statistical techniques, Conjoint analysis, Perceptual mapping and Multideminsional Scaling - Understanding customer perceptions and how they are related - Learn how to optimally position marketing initiatives On completing this course you will be able to gather, analyse and deploy results from data on customer product and market needs, wants and perceptions. Using sophisticated analytical techniques, coupled with easy to understand graphical and tabular output, you will be able gain a thorough understanding of their customer. Course Content Target Audience Areas covered include: This course would be suitable for market - Introduction to Conjoint Analysis researchers and analysts. It is also - Producing a Conjoint Design relevant for those with an interest in - Group and Individual Conjoint Analysis conjoint analysis, perceptual mapping, or - Simulations and Secondary Analyses multidimensional scaling. - Simple Correspondence Analysis of Counts - Multiple Correspondence Analysis - Mean's Based Perceptual Maps - Introduction to Multidimensional Scaling (MDS) Prerequisites - Individual Differences MDS Experience with SPSS for Windows or - Analysis of Preferences: MDS Unfolding completion of SPSS Basics for Windows course. Training in statistical methods is not necessary, but those with such training will gain a deeper understanding of the models. SPSS Conjoint and SPSS Categories are add-on options to the SPSS Base system. For users of: SPSS Conjoint (conjoint analysis), SPSS Categories (perceptual mapping and multidimensional scaling) and SPSS Base (multidimensional scaling only). For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 31
  • 50. Business Intelligence Workshop on Market Research Methods Duration: 2 days Summary This workshop focuses on the analysis of customer responses to a survey. It examines the survey data collected, demographic information, customer opinion on products & services and levels of satisfaction. The workshop extracts and relates the information from the survey using a range of powerful statistical techniques, outlining key factors in customer perception and decision making. It looks at relationships with key targets, such as satisfaction. On completing this workshop you will be able to transfer the skills learned to the analysis of customer surveys, that extend beyond simple reporting and go to the heart of customer attitudes, perceptions and drivers. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 32
  • 51. Data Collection & Management Dimensions Scripting: Survey Creation I Duration: 2 days Introduction Dimensions Scripting is one of the ways you can create a questionnaire for use with mrInterview. This course covers how you can create a survey without the use of an authoring tool. By learning the scripting language, you gain the ability to create more complex surveys. This course is designed to provide sufficient information to enable the novice user in using the Dimensions Scripting language to create a survey, while also providing the intermediate user with additional information on more advanced features, tools, and concepts. Throughout the course you will use mrStudio with the Interview Option to create the surveys. mrStudio 3.0® with the Interview Option is a full-featured development environment for interview scripting that provides many features and tools to help you with the development, testing, and activation of interviews. Course Content Target Audience : Areas covered will include: Scriptwriters who will be responsible for - Understand how the tools specific to Dimensions scripting writing, using, or modifying, Dimensions available inside the mrStudio environment can improve your mrInterview surveys. It focuses on the script-writing efficiency creation of survey interviews and the - An in-depth overview of all key components of the Dimensions scripting itself. scripting language: keywords, syntax and structure - Differences between question types and how to structure Prerequisites scripts for each type There are no prerequisites for this course, - How to control the presentation of the interview - using Loops although knowledge of the concepts of to cycle through collections of items on which sets of questions questionnaire design would be an are asked and presenting that in different formats advantage. - Good practices for creating surveys for the mrInterview online environment, such as creating grids on the screen and multiple questions per screen - Testing and Debugging your script using the features in mrStudio Interview Option such as automatically running test interviews and collecting the test data without even activating to the mrInterview server - Using conditional actions and logical functions to set up specific routing instructions based on respondent answers - Creating category filters, for example, showing only the responses that were selected on a previous question - Inserting information from the participants' database table into your script (sample management) For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 33
  • 52. Data Collection & Management Dimensions Scripting: Survey Creation II Duration: 2 days Introduction After attending the Dimensions Scripting (Survey Creation I) course you will have successfully developed and deployed a couple of surveys using the techniques covered in the first course. This follow-on course introduces the attendee to some of the extra power of Dimensions Scripting and is designed to give the attendee a deep practical knowledge on how to control the interaction with a respondent during a survey using advanced programming techniques. The course primarily deals with the use of the survey rather than the building of survey questions, structure or interview flow. You will learn a multitude of practical techniques for enriching a simple survey and will leave feeling fully armed to take control of the respondent experience, enrich the utility of the survey and gain insight into the operation of survey itself. : Course Content Target Audience Areas covered will include: Researchers or Scriptwriters who will be responsible for writing, using, or - Setting Values at the Start of the Interview by Passing parameters via the survey start-up URL modifying, Dimensions surveys. - Switching of Contexts and Routings for multi-mode interviewing Advanced scriptwriters who will modify or - Linking Surveys by chaining surveys and sub-surveys together enhance scripts generated by attendees - Calculating Values, Temporary Variables and working with collections from the Dimensions Scripting - Creating Complex Questions such as rankings and constant (Survey Creation I) course. sum questions, working with grids, functions and calculations - Displaying and controlling Progress Bars - Advanced Category Control in grids and categorical questions Prerequisites - Using Non-Dimensions Software in Interviews such as text files, emails, and database calls It is necessary to have Attended the - Writing Reusable Routines in Sub Routines and Functions. Dimensions Scripting (Survey Creation I) - Custom validation of questions course. - Customizing Standard Texts and Error Messages - Managing Survey and Interview Quotas - Recording Interview Statistics, using interview Paradata It is also recommended that you create and run at least two surveys using Dimensions Scripting prior to attendance on this course. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 34
  • 53. Data Collection & Management Dimensions Survey Analysis Duration: 2 days Introduction Dimensions has two methodologies for conducting analysis of survey data - desktop or browser based. Dimensions Survey Analysis covers the use of Dimensions Reporter in its Desktop operation. This course will take the complete novice and turn them into a self-sufficient user of pretty much most of the tools available. After starting off building simple tabular reports, you quickly moves on to learn how to build tables of increasing complexity and specificity using different question types, statistical summaries, filters, weights and display rules. You will learn how to manage the output, how to format and annotate the output and how to export to common Microsoft Office applications. Course Content Target Audience Areas covered will include: Researchers using Dimensions Reporter - Opening different sources of survey data for analyzing survey data (either (live surveys, existing survey data in different data formats) collected through Dimensions or existing - Saving and organizing your analysis data from a non-Dimensions survey). - Specifying the rows and columns of tables including nesting and appending of questions Data Processing staff required to prepare - Creating alternative analysis “views” of your survey and produce Dimensions Reporter questions using the variable editing features documents for end users. - Defining different statistical and numeric summaries in the table cells - Managing organizing collections of tables and charts - Conducting Statistical Testing - Creating Profiles and exporting data - Customizing the reports - Exporting the analysis to common Microsoft Office applications - Managing analysis documents for other analysis Prerequisites A reasonable grasp of survey question types and previous analysis experience would be very beneficial. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 35
  • 54. Data Collection & Management Dimensions Survey Translation Duration: 2 days Introduction mrTranslate is an easy-to-use translation tool that gives translators the ability to create one survey and easily manage numerous languages for the survey. This course will allow users to understand the functionality and features available with mrTranslate. Course Content Target Audience Areas covered will include: Translators, researchers or data processing staff who manage translations. - Overview of the mrTranslate menus, toolbars and window panes - Adding additional languages to your base questionnaire - Understanding how to track your translation progress, translator notes and flags Prerequisites - Timesaving techniques, such as find and replace text and using autofill There are no prerequisites for this course, - Saving your updated metadata document although a basic understanding of - Bringing in existing translations from other documents questionnaire design and the translation process at your organisation would be an advantage. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 36
  • 55. Data Collection & Management Quancept Scripting for mrInterview Duration: 2 days Introduction If you will create or modify interviews for the Web using mrInterview, then this course is for you. It has been created to give you a thorough grounding in the principles and language of creating mrInterview scripts from scratch, by providing a solid grasp of the Quancept scripting language and how to prepare surveys for web delivery. By the end of the course you will be creating live interviews, which can be delivered over the Web. Course Content Target Audience Areas covered will include: Scriptwriters who will be responsible for - An in-depth overview of all key components of the Quancept writing, using, or modifying, scripting language: keywords, syntax and structure Web-delivered mrInterview surveys, and - Differences between question types and how to structure have no prior experience with Quancept scripts for each type scriptwriting. - How to control the presentation of the interview - using - Loops to cycle through collections of items on which sets of questions are asked - Creating and using Master and Sub-lists - such as brand lists Prerequisites - Good practices for creating surveys for the mrInterview online environment, such as creating grids on the screen and There are no prerequisites for this course, multiple questions per screen although knowledge of the basic concepts - How to use the ODBC connections to a database within the script of questionnaire design would be an - Compiling and deploying an interview through mrInterview advantage. - The mrInterview data capture and storage facilities are discussed and how this will affect your Quancept scriptwriting - Interview presentation functions or how to insert a different "look and feel" for an entire survey, for different questions, or to change the look based on respondent input - Understanding what needs to be included in interview scripts when translating and guidelines for creation of multi-lingual surveys For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 37
  • 56. Data Collection & Management Dimensions Scripting: Data Management I Duration: 2 days Introduction The course covers the basics of Dimensions and the SPSS MR Data Model in sufficient detail to get users into the concepts of Data Management using Dimensions. You will be introduced to the very basic operations of reading and writing data files, data cleaning, and data validation. Then, when they have an appreciation of the Data Management Timeline, you will be guided through creating more complex scripts, which control applications on their computer systems. Through progressive iterations of script building, the attendee develops skills in handling mrStudio features and some of the basics of handling system and Microsoft Office applications to achieve significant, but everyday, Data Management tasks. A focus of the latter parts of the course is developing skills in creating new columns of data and populating them with data values. Throughout the course, Object based programming, principles and constructs will be demonstrated to you. Course Content Target Audience Areas covered will include: Designed for users who will be involved in - Overview of Dimensions Scripting and the mrData Model the data management aspects of the - Understanding how to use the Dimensions Development project, such as data cleaning and Library validation (such as checking for routing - Data Validation and Cleaning - Checking survey logic pattern logic). - Deriving new variables - Setting up logging capabilities to monitor events and results of your data management script Prerequisites There are no pre-requisites for this course; familiarity with object-oriented programming, such as Visual Basic Script, would be an advantage. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 38
  • 57. Data Collection & Management Dimensions Scripting: Data Management II Duration: 2 days Introduction This course builds on the mrStudio Foundation Course by developing your skills in managing different sources of data (both input and output) such as Quantum, mrInterview based Databases and non-MR data. A special section on this course shows you how to set up automated processing of scripts so they can be run in an unattended mode. The course culminates in an exercise designed to pull together all facets of the mrStudio Foundation and Intermediate courses. Course Content Target Audience Areas covered will include: Designed for users who will be involved in - Creating and Using Weighting Schemes the data management aspects of the - Transferring Case Data to a Quantum Data Source project, such as weighting data and - Exporting mrInterview Data exporting to different data sources. - Managing different sources of data, such as sample records or non-mr OLEDB providers as input data - Exporting responses to Microsoft Office and ASCII files - Adding information to the sample files Prerequisites Dimensions Scripting: Data Management I course. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 39
  • 58. Data Collection & Management Dimensions Administration: Paper Duration: 2 days Introduction The training consists of three parts: Questionnaire Creation, Questionnaire formatting, and automatic data entry with scanning software. The SPSS Paper Solution begins with designing the questionnaire. Quanquest provides an easy to use graphical user interface with comprehensive tools for creating questionnaire scripts. This course gives designers a thorough understanding of Quanquest features applicable to constructing scripts for paper questionnaires. Within a half day you will create an example questionnaire ready for export to mrPaper. Next, we export the document to mrPaper. mrPaper has been designed for ease of use. Yet, it is incredibly powerful and flexible. Through the use of Looks or “themes”, anyone, even with minimal computing skills, can create stylish paper questionnaires. If you want to develop an in-house look and feel to paper surveys, the use of easy to learn Microsoft Word skills will make quick progress towards your goals. Paper questionnaires can be easily designed and formatted for automatic data entry using scanning software. mrScan has been developed to remove the manual definition of scan fields and data preparation for paper questionnaires generated by mrPaper. In order to automate the process of data collection offered by SPSS MR’s Paper Solution, the user has to learn how to transfer a paper questionnaire to the scanning package, scan documents, operate the scanning software and recover the final data files. Course Content Target Audience Areas covered will include: There are no prerequisites for this course, - How to use of Quanquest for paper questionnaire design however, familiarity with Microsoft Word - Questionnaire design and construction for all types of and the basic concepts of questionnaire questions, including grid and compound questions design would be an advantage. - Exporting to mrPaper and the Metadata Document file - Overview of mrPaper screens, menus and toolbar - Loading questionnaire scripts into mrPaper - The default questionnaire formatting Looks or "themes" - Managing and Understanding Looks and Look Groups Prerequisites - Using Word Basics to modify and create new Looks and Look Groups None. - Creating company standard templates with headers, footers, company logos and standardized screening questions - A collection of advanced Word procedures useful to mrPaper, including creating Word templates - Examination of different question types and their impact on scanning - The use of mrScan for generating mark fields, number fields, and text fields - Learning the basics of processing completed questionnaires through the Eyes and Hands modules - Data file creation For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 40
  • 59. Data Collection & Management Dimensions Administration: Telephone Duration: 2 days Introduction This course demonstrates mrInterview's capabilities for Computer Assisted Telephone Interviewing (CATI). mrInterview for CATI can provide your respondents with additional options to take your survey, or simply allow you to create an easy to manage telephone interviewing setting. This training course will address setting up and running the project and analysis of statistics, as well as the general administration of the CATI system. It will not cover Interview Builder and scripting or Sample Management in general, but will cover the additional areas that are needed for CATI. Course Content Target Audience Areas covered will include: Scriptwriters who will be responsible for writing, using, or modifying, Dimensions - Provide a list of possible outcomes to interviewers as they place a call. This enables interviewers to indicate whether a mrInterview surveys. It focuses on the number is busy or unanswered, whether it should be called creation of survey interviews and the back; schedule an appointment for a later time; or remove scripting itself. an individual from the database - Schedule appointments and mark sample records as being completed via web vs. telephone - Make the survey available to the interviewer onscreen, along with outcome codes, in case the interview is terminated early or must be rescheduled Prerequisites - Review good practices for multi-mode studies, such as additional interview prompts that are not seen in the web mrInterview: Using mrInterview I is portion required. mrInterview: Using - Setting up interviewer qualifications, such as allowing mrInterview II is recommended based on interviewers who speak multiple languages to receive your needs (such as survey appearance multiple language participant calls - Monitor sample used, appointments scheduled, and and advanced sample management interviewer statistics while the survey is being conducted information), but not required. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 41
  • 60. Data Collection & Management Dimensions Administration:Web Duration: 2 days Introduction This course covers more advanced features of mrInterview, such as creating your own HTML templates to achieve a custom look for your surveys, setting up permissions for the web-based applications, and understanding how to manage your respondents with the sample management features. : Course Content Target Audience Areas covered will include: Staff that will be involved in creating the HTML templates to control the look of the - Understanding the Permissions aspects of DimensionNet -mrInterview has its own built in security with the mrInterview surveys; staff who will be DimensionNet interface. This can be security around managing the security of the certain applications (such as activating projects vs. DimensionNet application that comes with Reviewing Topline Information), or around specific mrInterview; and staff involved with projects - Creating and modifying mrInterview templates creating and managing sample and -HTML and XML templates are used to customize the look involved with the authentication of and feel of your surveys respondents. - Sample Management with mrInterview -Discussions will include how to create a sample table through SQL, accessing additional data stored in a sample table, reviewing the functionality of the provided sample scripts - Quota Control with mrInterview -Learn how to set up and maintain both script and Prerequisites sample quotas with mrInterview. Knowledge of .html would be helpful, but not necessary for the template section. For bookings, enquiries and more information contact: +353 (0)1 415 0234 or email training@spss.ie 42
  • 61. How to Find Us We are conveniently located within close proximity to Dublin city centre. You can access our office easily by private or public transport and also on foot. Access by Luas: The Luas tram line (red line) links Connolly mainline train station to Tallaght. The nearest Luas stop to our office is St. James’s Hospital and is a ten minute walk. For further details or a Luas timetable, please visit their website http://www.luas.ie/ Access by Train: Heuston station is the nearest train station and is only a 15 minute walk from our office. The Luas connects with both Heuston station and Connolly station. Access by Bus: Nearby buses include the 19, 51, 51A, 51B, 78A, 79, 123. Please visit the Dublin bus website for more information. http://www.dublinbus.ie/ Access by Car: As we are located near the city centre, unfortunately it is not possible to provide car parking to our customers. We suggest that you park in the nearby Hilton hotel (Kilmainham), which is a 5 minute walk. Hotel car parking is secure and available for use subject to a charge. For further information, please visit their website: http://www.hilton.com/ SPSS Ireland Data House, 79 Old Kilmainham, Kilmainham, Dublin 8 01 415 0234 training@spss.ie www.spss.com/ie
  • 62. SPSS Ireland Tel: +353 (0)1 415 0234 Fax: +353 (0)1 415 0235 Email: info@spss.ie Web: www.spss.com/ie Data House, 79 Old Kilmainham, Dublin 8, Ireland