DSpace-CRIS slides presented at ORCID's Better Together webinar on 19.09.2019, full slide deck with ORCID introduction at https://doi.org/10.23640/07243.9884033.v2.
Video Recording available at https://vimeo.com/361523018
Jake Truemper and Morgan Noel from XperienceLab discuss Human-Centered Design. What is it? How is it applied? and what are some tools and methods that the audience can take away and apply in their own businesses?
Information Storage and Retrieval : A Case StudyBhojaraju Gunjal
Bhojaraju.G, M.S.Banerji and Muttayya Koganurmath (2004). Information Storage and Retrieval: A Case Study, In Proceedings of International Conference on Digital Libraries (ICDL 2004), New Delhi, Feb 24-27, 2004.
(Best Poster Presentation Award)
Data analysis and analytics have become integral to decision-making in various fields.
In this presentation, we'll explore the importance, process, and applications of data analysis and analytics.
data management, information management, data, big data, personal organization, organization, file management, scientific research, research, project management, data security, file naming conventions, data management plan,
DSpace-CRIS slides presented at ORCID's Better Together webinar on 19.09.2019, full slide deck with ORCID introduction at https://doi.org/10.23640/07243.9884033.v2.
Video Recording available at https://vimeo.com/361523018
Jake Truemper and Morgan Noel from XperienceLab discuss Human-Centered Design. What is it? How is it applied? and what are some tools and methods that the audience can take away and apply in their own businesses?
Information Storage and Retrieval : A Case StudyBhojaraju Gunjal
Bhojaraju.G, M.S.Banerji and Muttayya Koganurmath (2004). Information Storage and Retrieval: A Case Study, In Proceedings of International Conference on Digital Libraries (ICDL 2004), New Delhi, Feb 24-27, 2004.
(Best Poster Presentation Award)
Data analysis and analytics have become integral to decision-making in various fields.
In this presentation, we'll explore the importance, process, and applications of data analysis and analytics.
data management, information management, data, big data, personal organization, organization, file management, scientific research, research, project management, data security, file naming conventions, data management plan,
I presented the seminar-style "Deep Service Design" at Designing For Digital in April, 2017, where I both tried to introduce service design and a takeaway practice that included three approaches -- jobs to be done, the Kano model, and the service blueprint -- as well as try to rationalize service design with user experience design. https://libux.co
Data Lakehouse Symposium | Day 1 | Part 1Databricks
The world of data architecture began with applications. Next came data warehouses. Then text was organized into a data warehouse.
Then one day the world discovered a whole new kind of data that was being generated by organizations. The world found that machines generated data that could be transformed into valuable insights. This was the origin of what is today called the data lakehouse. The evolution of data architecture continues today.
Come listen to industry experts describe this transformation of ordinary data into a data architecture that is invaluable to business. Simply put, organizations that take data architecture seriously are going to be at the forefront of business tomorrow.
This is an educational event.
Several of the authors of the book Building the Data Lakehouse will be presenting at this symposium.
This presentation aims to teach others how to use the user centered design methodology known as personas.
Personas are archetypes (models) that represent groups of real users who have similar behaviors, attitudes, and goals. A persona describes an archetypical user of software as it relates to the area of focus or domain you are designing for as a lens to highlight the relevant attitudes and the specific context associated with the area of work you are doing.
CART is a predictive algorithm used in Machine learning and it explains how the target variable's values can be predicted based on other matters. It is a decision tree where each fork is split into a predictor variable and each node has a prediction for the target variable at the end.
Understanding the difference between Data, information and knowledgeNeeti Naag
In decision making process it is very important to use past and present data. This presentation will help in understanding what is data, how it is converted to information and how information becomes knowledge.
This presentation depicts the comprehensive tiered support model developed for the implementation of Epic at Froedtert and Community Health and the Medical College of Wisconsin. The model demonstrates the relationship between hospital based support, informatics support, and technical support by IT. This approach was determined to be optimal in balancing the clinical requirements with the optimal technical support for the users.
Presentation on data preparation with pandasAkshitaKanther
Data preparation is the first step after you get your hands on any kind of dataset. This is the step when you pre-process raw data into a form that can be easily and accurately analyzed. Proper data preparation allows for efficient analysis - it can eliminate errors and inaccuracies that could have occurred during the data gathering process and can thus help in removing some bias resulting from poor data quality. Therefore a lot of an analyst's time is spent on this vital step.
In this Presentation Data Repository,Information About Data,I/O Design,Data Relationships,Project Management Information,Data Dictionary Categories,Data Flows,Data Structures,Data Structure Syntax,Logical Data Structures,Physical Data Structure,Data Elements,Data Stores,Creating Data Dictionary,I/O Analysis Form,Data Flow / Data Store,Data Dictionary Entries,Using the Data Dictionary,Extensible Markup Language,
1. System Analyst Work as A
2. Qualities of the system Analyst
3. System Development Life Cycle
4. Identifying Problems, Opportunities and objectives
5. Determining Human Information Requirements
6. Analyzing System Needs
7. Designing the recommended System
8. Testing and Maintaining the system
9. Implementing and Evaluating
A data dictionary is a “virtual database” containing metadata (data about data). Data dictionary holds information about the database and the data that it stores.
in this presentation Data Flow Diagrams (DFD),DFD Development : Basic Rules,Process Naming,Creating Context Diagram,Context Diagram,Diagram 0 (Next Level),Child Diagram,Typical Errors in DFD,Logical & physical Data Flow,Transitions,Logical vs Physical Data Flow,Reason for partitioning DFD,CRUD Matrix,Event Response Table,Use Case and Flow Diagrams..
I presented the seminar-style "Deep Service Design" at Designing For Digital in April, 2017, where I both tried to introduce service design and a takeaway practice that included three approaches -- jobs to be done, the Kano model, and the service blueprint -- as well as try to rationalize service design with user experience design. https://libux.co
Data Lakehouse Symposium | Day 1 | Part 1Databricks
The world of data architecture began with applications. Next came data warehouses. Then text was organized into a data warehouse.
Then one day the world discovered a whole new kind of data that was being generated by organizations. The world found that machines generated data that could be transformed into valuable insights. This was the origin of what is today called the data lakehouse. The evolution of data architecture continues today.
Come listen to industry experts describe this transformation of ordinary data into a data architecture that is invaluable to business. Simply put, organizations that take data architecture seriously are going to be at the forefront of business tomorrow.
This is an educational event.
Several of the authors of the book Building the Data Lakehouse will be presenting at this symposium.
This presentation aims to teach others how to use the user centered design methodology known as personas.
Personas are archetypes (models) that represent groups of real users who have similar behaviors, attitudes, and goals. A persona describes an archetypical user of software as it relates to the area of focus or domain you are designing for as a lens to highlight the relevant attitudes and the specific context associated with the area of work you are doing.
CART is a predictive algorithm used in Machine learning and it explains how the target variable's values can be predicted based on other matters. It is a decision tree where each fork is split into a predictor variable and each node has a prediction for the target variable at the end.
Understanding the difference between Data, information and knowledgeNeeti Naag
In decision making process it is very important to use past and present data. This presentation will help in understanding what is data, how it is converted to information and how information becomes knowledge.
This presentation depicts the comprehensive tiered support model developed for the implementation of Epic at Froedtert and Community Health and the Medical College of Wisconsin. The model demonstrates the relationship between hospital based support, informatics support, and technical support by IT. This approach was determined to be optimal in balancing the clinical requirements with the optimal technical support for the users.
Presentation on data preparation with pandasAkshitaKanther
Data preparation is the first step after you get your hands on any kind of dataset. This is the step when you pre-process raw data into a form that can be easily and accurately analyzed. Proper data preparation allows for efficient analysis - it can eliminate errors and inaccuracies that could have occurred during the data gathering process and can thus help in removing some bias resulting from poor data quality. Therefore a lot of an analyst's time is spent on this vital step.
In this Presentation Data Repository,Information About Data,I/O Design,Data Relationships,Project Management Information,Data Dictionary Categories,Data Flows,Data Structures,Data Structure Syntax,Logical Data Structures,Physical Data Structure,Data Elements,Data Stores,Creating Data Dictionary,I/O Analysis Form,Data Flow / Data Store,Data Dictionary Entries,Using the Data Dictionary,Extensible Markup Language,
1. System Analyst Work as A
2. Qualities of the system Analyst
3. System Development Life Cycle
4. Identifying Problems, Opportunities and objectives
5. Determining Human Information Requirements
6. Analyzing System Needs
7. Designing the recommended System
8. Testing and Maintaining the system
9. Implementing and Evaluating
A data dictionary is a “virtual database” containing metadata (data about data). Data dictionary holds information about the database and the data that it stores.
in this presentation Data Flow Diagrams (DFD),DFD Development : Basic Rules,Process Naming,Creating Context Diagram,Context Diagram,Diagram 0 (Next Level),Child Diagram,Typical Errors in DFD,Logical & physical Data Flow,Transitions,Logical vs Physical Data Flow,Reason for partitioning DFD,CRUD Matrix,Event Response Table,Use Case and Flow Diagrams..
SCIENTIFIC MERIT ACTION RESEARCH TEMPLATE (SMART) FORMa..docxkenjordan97598
SCIENTIFIC MERIT ACTION RESEARCH TEMPLATE (SMART) FORM
a.k.a. “Research Plan”
School of Public Service LeadershipScientific Merit Process
Learners who are doing action research for their dissertation will use this form to go through the process of scientific merit review. The goals of this process are: (1) to facilitate the planning of the details of your action research project, (2) to ensure that the proposed project has rigor and allows for scientific merit review, and (3) to facilitate your progress through the dissertation. This is not an addition to your dissertation but rather a step to assist you in obtaining mentor, committee, school, and IRB approval more efficiently. You must obtain mentor, committee, and school approval of your Research Plan before submitting your IRB application.
Scientific Merit Criteria
The following criteria will be used to establish scientific merit. The purpose of the review will determine if the proposed project:
1. Contributes to society by improving a practice
2. Documents need for change by utilizing evidence-based needs assessment
3. Meets certain “Hallmarks” of a good action research project including:
a. Action research design
i. Practical
ii. Participatory
iii. Defined Action PlanScientific Merit ApprovalYour completed SMART form will be approved, not approved, or deferred for major or minor revisions. Your committee will use a checklist to determine if the study meets the criteria for scientific merit and the committee will provide specific feedback designed to identify any issues that need to be resolved related to the scientific merit. You will have up to three opportunities to submit this form for committee approval.
Obtaining scientific merit approval does not guarantee you will obtain IRB approval. The IRB review will focus on ethical issues. A detailed ethical review will be conducted during the process of IRB approval.Recommendations for How to Use This FormThe SMART form is intended to help you and your mentor plan the design and details of your dissertation. Once your mentor approves your SMART form, your entire committee will review the form for scientific merit. When the entire committee approves your SMART form, then it will be submitted for school approval. It is recommended that you use this form in a step-by-step way to help plan your design. Expect that you will go through a few revisions before your mentor and committee approve this form.
Tips for filling out the SMART form:
· Prepare your answers in a separate Word document, as editing and revising will be easier.
· Copy/paste items into the right-hand fields when they are ready.
· Don’t delete the descriptions in the left column!
· Don’t lock the form, as that will stop you from editing and revising within the form.
· Leave no blank spaces in the form. If an item does not apply to your study, type “NA” in its field.
· Read the item descriptions carefully. Items request very specific information. Be sure you understa.
In this business analysis training session, you will learn about Requirement Elicitation Techniques. Topics covered in this course are:
• Techniques
• Interviews
• Focus Groups
• Facilitated Work Shops
• Group Creativity Techniques
• Group Decision Making Techniques
• Questionnaires & Surveys
• Observations
• Prototypes
• Introduction to Object Oriented Analysis
To know more, visit this link: https://www.mindsmapped.com/courses/business-analysis/become-a-business-analyst-hands-on-practice-with-real-life-templates/
In this business analysis training session, you will learn Enterprise Analysis. Topics covered in this course are:
• Techniques
Interviews
Focus Groups
Facilitated Work Shops
Group Creativity Techniques
Group Decision Making Techniques
Questionnaires & Surveys
Observations
Prototypes
• Introduction to Object Oriented Analysis
To know more, visit this link: https://www.mindsmapped.com/courses/business-analysis/become-a-business-analyst-hands-on-practice-with-real-life-templates/
In this Business Analysis training session, you will learn about Requirement Elicitation Techniques. Topics covered in this session are:
• Techniques
Interviews
Focus Groups
Facilitated Work Shops
Group Creativity Techniques
Group Decision Making Techniques
Questionnaires & Surveys
Observations
Prototypes
• Introduction to Object Oriented Analysis
For more information, click here: https://www.mindsmapped.com/courses/business-analysis/business-analysis-training-for-beginners-as-per-babok-v3/
In this Business Analysis Training session, you will learn Requirement Elicitation Techniques. Topics covered in this session are:
• Techniques
Interviews
Focus Groups
Facilitated Work Shops
Group Creativity Techniques
Group Decision Making Techniques
Questionnaires & Surveys
Observations
Prototypes
• Introduction to Object Oriented Analysis
To learn more about this course, visit this link: https://www.mindsmapped.com/courses/business-analysis/business-analysis-fundamentals-with-hands-on-training/
How to Conduct a Survey gf form to anylyzedenjrodrigo
Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of students in highschool and college. This can help students to make or conduct a survey easily. Expect to conduct a survey to analyze and make a solution to the challenges and problems faced of student
Usability Primer - for Alberta Municipal Webmasters Working GroupNormanMendoza
Presentation provided on December 1, 2006. References:
“A Practical Guide to Usability Testing” by Joseph S. Dumas and Janice C. Redish
The Elements of User Experience, diagram by Jesse James Garrett
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
2. Major Topics
4-2
Question format
Interviewing techniques
Joint Application Design (JAD)
Questionnaires
AITS-MCA- Kiran Ajudiya
3. Interviewing
4-3
Interviewing is an important method for
collecting data on information system
requirements.
Interviews reveal information about:
Interviewee opinions.
Interviewee feelings.
About the current state of the system.
Organizational and personal goals.
Informal procedures.
AITS-MCA- Kiran Ajudiya
4. Planning the Interview
4-4
Five steps in planning the interview are:
Reading background material.
Establishing interview objectives.
Deciding whom to interview.
Preparing the interviewee.
Deciding on question types and structure.
AITS-MCA- Kiran Ajudiya
5. Question Types
4-5
There are two basic types of interview
questions:
Open-ended.
Closed.
AITS-MCA- Kiran Ajudiya
6. Open-Ended Questions
4-6
Open-ended interview questions allow
interviewees to respond how they wish, and to
what length they wish.
Open-ended questions are appropriate when the
analyst is interested in breadth and depth of reply.
AITS-MCA- Kiran Ajudiya
7. Advantages of Open-Ended
Questions4-7
Eight benefits of open-ended questions are:
Puts the interviewee at ease.
Allows the interviewer to pick up on the interviewee's
vocabulary.
Reflect education, values, attitudes, and beliefs.
Provides richness of detail.
Reveals avenues of further questioning that may have
gone untapped.
AITS-MCA- Kiran Ajudiya
8. Advantages of Open-Ended
Questions4-8
Eight Benefits of open-ended questions are:
(continued)
Provides more interest for the interviewee.
Allows more naturalness.
Makes phrasing easier for the interviewer.
Useful if the interviewer is unqualified.
AITS-MCA- Kiran Ajudiya
9. Disadvantages of Open-Ended
Questions4-9
The five drawbacks include:
May result in too much irrelevant detail.
Possibly losing control of the interview.
May take too much time for the amount of useful
information gained.
Potentially seeming that the interviewer is
unprepared.
Possibly giving the impression that the interviewer
is on a "fishing expedition”
AITS-MCA- Kiran Ajudiya
10. Closed Interview Questions
4-10
Closed interview questions limit the number of
possible responses.
Closed interview questions are appropriate for
generating precise, reliable data that is easy to
analyze.
The methodology is efficient, and it requires
little skill for interviewers to administer.
AITS-MCA- Kiran Ajudiya
11. Benefits of Closed Interview
Questions4-11
Six benefits are:
Saving interview time.
Easily comparing interviews.
Getting to the point.
Keeping control of the interview.
Covering a large area quickly.
Getting to relevant data.
AITS-MCA- Kiran Ajudiya
12. Disadvantages of Closed Interview
Questions4-12
Four drawbacks of closed interview questions
include:
Boring for the interviewee.
Failure to obtain rich detailing.
Missing main ideas.
Failing to build rapport between interviewer and
interviewee.
AITS-MCA- Kiran Ajudiya
14. Bipolar Questions and Probes
4-14
Bipolar questions are those that may be
answered with a ‘yes’ or ‘no’ or ‘agree’ or
‘disagree’.
Bipolar questions should be used carefully.
AITS-MCA- Kiran Ajudiya
15. Probing (Interested) Questions
4-15
Probing questions elicit more detail about
previous questions.
The purpose of probing questions is:
To get more meaning.
To clarify.
To draw out and expand on the interviewee's
point.
AITS-MCA- Kiran Ajudiya
16. Question Sequencing
4-16
The three basic ways of structuring interviews
are :
Pyramid, starting with closed questions and
working toward open-ended questions.
Funnel, starting with open-ended questions and
working toward closed questions.
Diamond, starting with closed, moving toward
open-ended, and ending with closed questions.
AITS-MCA- Kiran Ajudiya
17. Pyramid Structure
4-17
Begins with very detailed, often closed
questions
Expands by allowing open-ended questions
and more generalized responses
Is useful if interviewees need to be warmed up
to the topic or seem reluctant to address the
topic
AITS-MCA- Kiran Ajudiya
18. Funnel Structure
4-18
Begins with generalized, open-ended
questions
Concludes by narrowing the possible
responses using closed questions
Provides an easy, nonthreatening way to
begin an interview
Is useful when the interviewee feels
emotionally about the topic
AITS-MCA- Kiran Ajudiya
19. Diamond Structure
4-19
A diamond-shaped structure begins in a very
specific way
Then more general issues are examined
Concludes with specific questions
Combines the strength of both the pyramid
and funnel structures
Takes longer than the other structures
AITS-MCA- Kiran Ajudiya
20. Closing the Interview
4-20
Always ask “Is there anything else that you
would like to add?”
Summarize and provide feedback on your
impressions.
Ask whom you should talk with next.
Set up any future appointments.
Thank them for their time and shake hands.
AITS-MCA- Kiran Ajudiya
21. Interview Report
4-21
Write as soon as possible after the interview.
Provide an initial summary, then more detail.
Review the report with the respondent.
AITS-MCA- Kiran Ajudiya
22. Joint Application Design (JAD)
4-22
JAD is a technique that allows the analyst to
accomplish requirements analysis and design
the user interface with the users in a group
setting.
AITS-MCA- Kiran Ajudiya
23. When to Use JAD
4-23
JAD may be used when:
Users are restless and want something new.
The organizational culture supports joint problem-
solving behaviors.
Analysts forecast an increase in the number of
ideas using JAD.
Personnel may be absent from their jobs for the
length of time required.
AITS-MCA- Kiran Ajudiya
25. Benefits of JAD
4-25
The potential benefits of using JAD are:
Time is saved, compared with traditional
interviewing.
Rapid development of systems.
Improved user ownership of the system.
Creative idea production is improved.
AITS-MCA- Kiran Ajudiya
26. Drawbacks of Using JAD
4-26
Potential drawbacks of using JAD are:
JAD requires a large block of time to be available
for all session participants.
If preparation is incomplete, the session may not
go very well.
If the follow-up report is incomplete, the session
may not be successful.
The organizational skills and culture may not be
conducive to a JAD session.
AITS-MCA- Kiran Ajudiya
27. Questionnaires
4-27
Questionnaires are useful in gathering
information from key organization members
about:
Attitudes.
Beliefs. (Thinking)
Behaviors.
Characteristics.
AITS-MCA- Kiran Ajudiya
28. When to Use Questionnaires
4-28
Questionnaires are valuable if:
Organization members are widely dispersed.
Many members are involved with the project.
Investigative work is needed.
Problem solving prior to interviews is necessary.
AITS-MCA- Kiran Ajudiya
29. Question Types
4-29
Questions are designed as either:
Open-ended
Try to anticipate the response you will get.
Well suited for getting opinions.
Closed
Use when all the options may be listed.
When the options are mutually exclusive.
AITS-MCA- Kiran Ajudiya
31. Questionnaire Language
4-31
Questionnaire language should be:
Simple.
Specific.
Free of bias.
Not patronizing (demeaning).
Technically accurate.
Addressed to those who are knowledgeable.
Appropriate for the reading level of the respondent.
AITS-MCA- Kiran Ajudiya
32. Measurement Scales
4-32
The two different forms of measurement
scales are :
Nominal.
Interval.
AITS-MCA- Kiran Ajudiya
33. Nominal Scales
4-33
Nominal scales are used to classify things into
categories.
It is the weakest form of measurement.
Data may be totaled.
What type of software do you use the most?
1 = Word Processor
2 = Spreadsheet
3 = Database
4 = An Email Program
AITS-MCA- Kiran Ajudiya
34. Interval Scales
4-34
An interval scale is used when the intervals
are equal.
There is no absolute zero.
Examples of interval scales include the
Fahrenheit or centigrade scale.
How useful is the support given by the Technical Support Group?
NOT USEFUL EXTREMELY
AT ALL USEFUL
1 2 3 4 5
AITS-MCA- Kiran Ajudiya
35. Validity and Reliability
4-35
Questionnaires must be valid and reliable.
Reliability of scales refers to consistency in
response--getting the same results if the same
questionnaire was administered again under
the same conditions.
Validity is the degree to which the question
measures what the analyst intends to measure.
AITS-MCA- Kiran Ajudiya
36. Problems with Scales
4-36
There are three problems associated with
poorly constructed scales:
Leniency (kindness).
Central tendency (learning).
Halo (circle of light) effect.
AITS-MCA- Kiran Ajudiya
37. Leniency
4-37
Caused by easy raters.
Solution is to move the “average” category to
the left or right of center.
AITS-MCA- Kiran Ajudiya
38. Central Tendency
4-38
Central tendency occurs when respondents
rate everything as average.
Improve by making the differences smaller at
the two ends.
Adjust the strength of the descriptors.
Create a scale with more points.
AITS-MCA- Kiran Ajudiya
39. Halo Effect
4-39
When the impression formed in one question
carries into the next question
Solution is to place one trait and several items
on each page.
AITS-MCA- Kiran Ajudiya
40. Designing the Questionnaire
4-40
Good response rates can be achieved with
consistent control of questionnaire.
Allow ample white space.
Allow ample space to write or type in responses.
Make it easy for respondents to clearly mark their
answers.
Be consistent in style.
AITS-MCA- Kiran Ajudiya
41. Order of Questions
4-41
Place most important questions first.
Cluster items of similar content together.
Introduce less controversial questions first.
AITS-MCA- Kiran Ajudiya
42. Web Form Questionnaires
4-42
Controls (fields) used on Web forms:
Single line text box.
Scrolling text box, used for one or more paragraphs of
text.
Check box for yes-no or true-false answers.
Radio button for mutually exclusive yes-no or true-
false answers.
Drop-down menu for selection from a list.
Submit or Clear buttons.
AITS-MCA- Kiran Ajudiya
43. Methods of Administering the
Questionnaire4-43
Methods of administering the questionnaire
include:
Convening all concerned respondents together at
one time.
Personally administering the questionnaire.
Allowing respondents to self-administer the
questionnaire.
Mailing questionnaires.
Administering over the Web or via email.
AITS-MCA- Kiran Ajudiya
45. What is CASE Tool?
Computer-Aided Software
Engineering (CASE) technologies are tools
that provide automated assistance for
software development.
The goal of introducing CASE tools is the
reduction of the time and cost of software
development and the enhancement of the
quality of the systems developed.
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46. CASE TOOL
Artiso Visual Case is a tool for software development, database
design, database maintenance and business analysis developed
by Artiso Corp.
DB-MAIN is a modeling tool dedicated to Database Application
Engineering. It was originally developed by University of
Namur’s LBID Lab. in 1991.
iGrafx FlowCharter is process analysis and modeling tool
developed by iGrafx.
MetaEdit+ is a tool for designing a modeling language and then
generates diagramming functionalities. It was developed by
Metacase Company.
Microsoft Visio is a diagramming program for Microsoft
Windows that uses vector graphics to create diagrams.
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47. CASE TOOL
OmniGraffle is a diagramming application for Mac OS X operating
system developed by The Omni Group. It can create diagrams, flow
charts, org charts, and illustrations.
Rational Rose is a UML modeling and model-driven development
tool which was developed originally by Rational Software. It has the
ability to integrate with existing integrated development
environments or languages.
SmartDraw is a diagramming tool developed by SmartDraw.com.
ArgoUML is a UML diagramming tool written in Java developed by
Tigris. It has an open source BSD License.
Visible Analyst is an integrated Strategic Planning, Data Modeling,
Business Process Modeling (BPMN), UML Modeling, and
Structured Analysis and Design Modeling developed by Visible.
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48. CASE TOOL
Name Platform Price
DB-Main Windows $0
iGrafx Flowcharter Windows $480
MetaEdit+ Windows €9500
Microsoft Visio Windows $559.95
Omnigraffle MacOS X $199.95
Rational Rose Cross Platform $4870
Smart Draw Windows $197
ArgoUML Cross Platform $0
Visible Analyst Windows $2995
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