This document provides guidance on conducting surveys through questionnaires. It discusses the different types of surveys, including self-completed questionnaires, telephone surveys, and face-to-face interviews. It outlines the nine key steps to conducting a survey: deciding what information is needed, who to survey, the survey method, sample size, writing questions, testing questions, conducting the survey, analyzing results, and reporting findings. It also provides tips for writing effective questions, including using both open-ended and closed-ended questions, and sequencing questions logically and presenting questionnaires clearly.
This document provides guidance on creating and conducting effective surveys. It explains that surveys are used to gather information from a sample group that represents a larger population. The sample size should include enough people with different characteristics to represent the overall population. The document then lists 10 tips for creating good surveys, such as using simple language, asking one question per item, avoiding biased questions, and testing the survey before widespread use. The goal is to design clear, concise surveys that gather accurate and useful information.
This document discusses various methods of data collection in research. It describes 7 common methods: questionnaires, checklists, interviews, observation, records, experimental approaches, and survey approaches. For each method, it outlines the key aspects, such as how it is administered or structured, as well as advantages and disadvantages. It also discusses important considerations for developing research instruments and measuring variables in studies. The overall purpose is to provide guidance on selecting appropriate data collection techniques based on the research problem and design.
The document discusses various data collection instruments that can be used for education projects, including their purposes, advantages, and challenges. It provides details on interviews, focus groups, questionnaires/surveys, observation, literature reviews, tests, concept maps, document/product reviews, and case studies. It also discusses determining sample sizes, levels of evaluation from resources to social/environmental impacts, and using rubrics and logic models to assess performance. The key instruments covered are interviews, focus groups, questionnaires, observation, and document reviews.
This document discusses questionnaires as a research method. It defines a questionnaire as a structured set of questions used to collect data from subjects about their knowledge, attitudes and beliefs. The document outlines different types of questions that can be included in a questionnaire like open-ended, closed-format, dichotomous and Likert questions. It also provides guidelines for designing a good questionnaire and discusses methods for questionnaire administration and their advantages/disadvantages.
This document discusses different techniques for collecting qualitative data. It begins by differentiating between data collection in quantitative and qualitative research. The main techniques discussed for collecting qualitative data are interviews, observation, visual data collection, and secondary data collection. Specific types of interviews such as structured, semi-structured, and unstructured interviews are explained. Guidelines for conducting interviews and observations are also provided.
An in-depth interview is an unstructured qualitative research technique that allows for discussion between an interviewer and respondent. It aims to explore topics in depth through open-ended questions, follow-ups, and probes. This format permits insight into people's thoughts, feelings, and behaviors on important issues. Effective in-depth interviews require skilled interviewers who can build rapport, adapt to different personalities, and ask open-ended questions to understand perspectives in respondents' own words. Though time-consuming, in-depth interviews can generate rich descriptive data through personalized discussions.
Data collection is a one of the major important topic in research study, It should be clear and understandable to all students, especially in graduate studies
This document discusses sampling methods used in research. It defines sampling as obtaining information from a subset of a larger population. The key sections cover the sampling process, types of sampling including probability and non-probability methods, sources of sampling error, and factors to consider when determining sample size such as the nature of the population, number of variables, desired accuracy level, and available finances. Probability methods like simple random and stratified sampling aim to give all population members an equal chance of selection, while non-probability techniques like convenience and snowball sampling do not. Sample size is an important factor in controlling random error.
This document provides guidance on creating and conducting effective surveys. It explains that surveys are used to gather information from a sample group that represents a larger population. The sample size should include enough people with different characteristics to represent the overall population. The document then lists 10 tips for creating good surveys, such as using simple language, asking one question per item, avoiding biased questions, and testing the survey before widespread use. The goal is to design clear, concise surveys that gather accurate and useful information.
This document discusses various methods of data collection in research. It describes 7 common methods: questionnaires, checklists, interviews, observation, records, experimental approaches, and survey approaches. For each method, it outlines the key aspects, such as how it is administered or structured, as well as advantages and disadvantages. It also discusses important considerations for developing research instruments and measuring variables in studies. The overall purpose is to provide guidance on selecting appropriate data collection techniques based on the research problem and design.
The document discusses various data collection instruments that can be used for education projects, including their purposes, advantages, and challenges. It provides details on interviews, focus groups, questionnaires/surveys, observation, literature reviews, tests, concept maps, document/product reviews, and case studies. It also discusses determining sample sizes, levels of evaluation from resources to social/environmental impacts, and using rubrics and logic models to assess performance. The key instruments covered are interviews, focus groups, questionnaires, observation, and document reviews.
This document discusses questionnaires as a research method. It defines a questionnaire as a structured set of questions used to collect data from subjects about their knowledge, attitudes and beliefs. The document outlines different types of questions that can be included in a questionnaire like open-ended, closed-format, dichotomous and Likert questions. It also provides guidelines for designing a good questionnaire and discusses methods for questionnaire administration and their advantages/disadvantages.
This document discusses different techniques for collecting qualitative data. It begins by differentiating between data collection in quantitative and qualitative research. The main techniques discussed for collecting qualitative data are interviews, observation, visual data collection, and secondary data collection. Specific types of interviews such as structured, semi-structured, and unstructured interviews are explained. Guidelines for conducting interviews and observations are also provided.
An in-depth interview is an unstructured qualitative research technique that allows for discussion between an interviewer and respondent. It aims to explore topics in depth through open-ended questions, follow-ups, and probes. This format permits insight into people's thoughts, feelings, and behaviors on important issues. Effective in-depth interviews require skilled interviewers who can build rapport, adapt to different personalities, and ask open-ended questions to understand perspectives in respondents' own words. Though time-consuming, in-depth interviews can generate rich descriptive data through personalized discussions.
Data collection is a one of the major important topic in research study, It should be clear and understandable to all students, especially in graduate studies
This document discusses sampling methods used in research. It defines sampling as obtaining information from a subset of a larger population. The key sections cover the sampling process, types of sampling including probability and non-probability methods, sources of sampling error, and factors to consider when determining sample size such as the nature of the population, number of variables, desired accuracy level, and available finances. Probability methods like simple random and stratified sampling aim to give all population members an equal chance of selection, while non-probability techniques like convenience and snowball sampling do not. Sample size is an important factor in controlling random error.
Research can be report in two ways; written and oral. This is a technique to report research in oral(seminar, workshop, conference etc.). It is also applicable to any type of presentation.
This document discusses techniques for designing and validating questionnaires. It covers factors that affect questionnaires, types of questions, guidelines for preparation, administration methods, validity, reliability, and translation methods. Specifically, it discusses open-ended versus closed-form questions, test-retest and split-half methods for assessing reliability, and a multi-stage translation process involving translation, review, adjudication, and pretesting.
Interview Method for Qualitative ResearchPun Yanut
Interview is the verbal conversation between two people with the objective of collecting relevant information for the purpose of research.
Interviewing, a method for conducting research, is a technique used to understand the experiences of others.
McNamra (1999), the interviewer can pursue in-depth information around the topic.
Interview may be useful as follow-up to certain respondent
This document discusses the importance and development of questionnaires as a research tool. It notes that questionnaires allow statistical analysis and collection of information from large groups. The document outlines best practices for questionnaire design, including specifying objectives, pre-testing questions, and avoiding biases or ambiguities. It emphasizes that well-designed questionnaires make response and analysis easier. The document provides guidance on formatting question types, scaling, and other elements of sound questionnaire construction.
This document discusses survey research methods and the types of errors that can occur. It describes four common survey methods: person-administered surveys, telephone-administered surveys, self-administered surveys, and online surveys. For each method, it provides examples like telephone interviews, mail surveys, and internet surveys. It also outlines factors for selecting the appropriate survey method, like situational characteristics, task characteristics, and respondent characteristics. Finally, it discusses two types of errors that can happen in surveys: sampling errors and non-sampling errors, which include errors from respondents and researchers.
A questionnaire is a research tool used to gather information from a specific demographic in order to achieve research objectives. It should be short, clear, objective and avoid embarrassing questions. Questionnaires provide factual, behavioral, and attitudinal information. They describe populations and measure variables like attitudes. Good questionnaire design involves determining question content, format, wording and sequence. Questionnaires standardize data collection but lack validity checks and insight into responses.
This document provides an overview of sampling methods used in research. It defines key terms like population, sample, and sampling frame. It discusses the purposes of sampling like being economical and improving data quality. Good sample characteristics include being representative and free of bias. Probability sampling techniques like simple random, stratified, systematic, and cluster sampling are described. Non-probability methods like convenience, purposive, quota, and snowball sampling are also outlined. Factors that affect sampling like sample size, sampling errors, and selection bias are covered. The document concludes that adopting appropriate sampling methods can enhance research quality while saving time and budget.
This document discusses sampling and different sampling techniques. It begins by defining key terminology like population, sample, sampling frame, etc. It then describes different types of populations and the purposes of sampling, which include being economical, improving data quality, and allowing for quicker study results.
The document outlines the steps in the sampling process, which include identifying the target population, establishing a sampling frame, specifying the sampling unit and size, and selecting the sample. It also discusses factors that can influence the sampling process.
Finally, it describes different sampling techniques, distinguishing between probability and non-probability sampling. It provides details on specific probability techniques like simple random sampling, stratified random sampling, and cluster sampling.
This document defines key terms related to sampling design and methods. It discusses the differences between populations, target populations, and accessible populations. It also defines samples, sampling frames, strata, random selection, and representativeness. The document outlines several probability sampling methods, including simple random sampling, stratified random sampling, cluster sampling, and systematic sampling. It also discusses non-probability sampling methods like convenience sampling, purposive sampling, and quota sampling.
Methods of Data Collection, Sampling Techniques and Methods in Presenting DataRG Luis Vincent Gonzaga
This document discusses different methods for collecting data, sampling techniques, and presenting data. It describes four common methods for collecting data: observation, interviews, schedules, and questionnaires. It also explains probability and non-probability sampling techniques such as simple random sampling, stratified sampling, and convenience sampling. Finally, it reviews three methods for presenting data: using text, tables, and graphical representations like bar graphs, pie charts, and histograms.
This document discusses various methods and tools for collecting data in empirical research. It describes primary and secondary data sources and different types of data collection methods including interviews, questionnaires, observation, and biophysical measurements. Specifically, it provides details on structured, unstructured, and semi-structured interviews. It also explains different types of questions that can be used in questionnaires such as open-ended, closed-ended, rating scales, and Likert scales. Advantages and disadvantages of interviews and questionnaires as data collection methods are highlighted.
This document discusses different types of experimental research designs. There are three main types of designs - pre-experimental, quasi-experimental, and true experimental. True experimental designs have the highest degree of control and involve manipulating the independent variable, using a control group, and random assignment to control for extraneous variables. Quasi-experimental designs manipulate the independent variable but lack either random assignment or a control group. Pre-experimental designs have the least control and do not use control groups or random assignment. Several examples of designs are provided within each category.
The document discusses sample and sampling techniques used in research. It defines key terms like population, sample, sampling, and element. It describes two main sampling techniques - probability sampling which uses random selection, and non-probability sampling which uses non-random methods. Some examples of probability sampling techniques include simple random sampling, systematic sampling, stratified random sampling, cluster sampling, and multi-stage sampling. Examples of non-probability sampling include convenience sampling, quota sampling, and purposive sampling. Sample size is determined using formulas like Slovin's formula.
The document discusses different types of interviews that can be used for research data collection. It describes personal interviews, telephone interviews, focus group interviews, depth interviews, and projective techniques. Personal interviews involve face-to-face communication between an interviewer and respondent. They are generally structured with questions planned in advance. Telephone interviews collect information by asking respondents questions over the phone. Focus group interviews involve a moderator leading a discussion among a small group of respondents. Depth interviews are nondirective and give respondents freedom to answer openly. Projective techniques indirectly reveal responses through interpretation of ambiguous objects or activities.
This document provides guidance on designing questionnaires. It discusses the different types of questions, including open-ended questions that allow free responses and closed questions that provide response options. It outlines best practices for formulating clear, unbiased questions and sequencing questions logically. The document also covers formatting questionnaires, translating them if needed, and testing the design through a review process. The overall goal is to create a questionnaire that efficiently collects accurate data to meet study objectives.
This document discusses various methods and techniques for collecting data. It begins by defining data collection as the process of gathering quantitative and qualitative information on variables to evaluate outcomes. Some key methods covered include interviews, questionnaires, observation, and record analysis. The document provides details on each method, including their purposes, advantages, disadvantages, and specific tools or techniques used. It emphasizes that the appropriate data collection method depends on factors like the study topic, sample size, and available resources.
Qualitative research focuses on words rather than numbers, generates theories rather than generalizing, and aims to understand participant views without claiming to generalize. Qualitative researchers are influenced by interpretivism and seek to understand social life through the eyes of participants by emphasizing context and flexibility over rigid structures. The qualitative research process involves generating questions, selecting sites and subjects, collecting and analyzing data, developing concepts and theories, and writing conclusions. Reliability and validity are ensured through methods like member checking and triangulation. Qualitative sampling uses non-probability methods like convenience sampling. Data collection methods include interviews, focus groups, document analysis, and observation.
The document discusses the characteristics, functions, types, and construction of questionnaires. It provides details on:
- Questionnaires should be short, simple, objective and avoid embarrassing questions.
- Functions include description and measurement of variables like attitudes and opinions.
- Types include fixed-response and open-ended questionnaires, and mail-administered vs face-to-face.
- Constructing a questionnaire involves deciding what to measure, the type, writing drafts, pretesting, and specifying procedures.
Research Instrument, Development & Analysis-The Questionnaire ShaharyarShoukatShou
This document discusses research questionnaires. It begins by defining a questionnaire as a list of printed questions completed by respondents. The primary purpose of a questionnaire is to extract data from respondents in a standardized way. There are two main types of questionnaires: unstructured/open-form questionnaires that allow free responses; and structured/closed-form questionnaires that have predetermined answer choices. The document then provides details on the characteristics, advantages, and types of both questionnaire formats.
Schedule and QuestionnaireDifference between Schedule and QuestionnaireTech...sanjay s.kumar
The document discusses the key differences between questionnaires and schedules as data collection instruments. It notes that schedules are administered through personal interviews by enumerators, making the process more expensive but allowing respondents to be identified and ensuring complete responses. Questionnaires are generally self-administered, making the process cheaper but resulting in higher non-response rates and incomplete information. The document also provides guidelines for developing valid and reliable questionnaires and schedules, including question structure, sequence, pre-testing and measuring various types of validity and reliability.
Research can be report in two ways; written and oral. This is a technique to report research in oral(seminar, workshop, conference etc.). It is also applicable to any type of presentation.
This document discusses techniques for designing and validating questionnaires. It covers factors that affect questionnaires, types of questions, guidelines for preparation, administration methods, validity, reliability, and translation methods. Specifically, it discusses open-ended versus closed-form questions, test-retest and split-half methods for assessing reliability, and a multi-stage translation process involving translation, review, adjudication, and pretesting.
Interview Method for Qualitative ResearchPun Yanut
Interview is the verbal conversation between two people with the objective of collecting relevant information for the purpose of research.
Interviewing, a method for conducting research, is a technique used to understand the experiences of others.
McNamra (1999), the interviewer can pursue in-depth information around the topic.
Interview may be useful as follow-up to certain respondent
This document discusses the importance and development of questionnaires as a research tool. It notes that questionnaires allow statistical analysis and collection of information from large groups. The document outlines best practices for questionnaire design, including specifying objectives, pre-testing questions, and avoiding biases or ambiguities. It emphasizes that well-designed questionnaires make response and analysis easier. The document provides guidance on formatting question types, scaling, and other elements of sound questionnaire construction.
This document discusses survey research methods and the types of errors that can occur. It describes four common survey methods: person-administered surveys, telephone-administered surveys, self-administered surveys, and online surveys. For each method, it provides examples like telephone interviews, mail surveys, and internet surveys. It also outlines factors for selecting the appropriate survey method, like situational characteristics, task characteristics, and respondent characteristics. Finally, it discusses two types of errors that can happen in surveys: sampling errors and non-sampling errors, which include errors from respondents and researchers.
A questionnaire is a research tool used to gather information from a specific demographic in order to achieve research objectives. It should be short, clear, objective and avoid embarrassing questions. Questionnaires provide factual, behavioral, and attitudinal information. They describe populations and measure variables like attitudes. Good questionnaire design involves determining question content, format, wording and sequence. Questionnaires standardize data collection but lack validity checks and insight into responses.
This document provides an overview of sampling methods used in research. It defines key terms like population, sample, and sampling frame. It discusses the purposes of sampling like being economical and improving data quality. Good sample characteristics include being representative and free of bias. Probability sampling techniques like simple random, stratified, systematic, and cluster sampling are described. Non-probability methods like convenience, purposive, quota, and snowball sampling are also outlined. Factors that affect sampling like sample size, sampling errors, and selection bias are covered. The document concludes that adopting appropriate sampling methods can enhance research quality while saving time and budget.
This document discusses sampling and different sampling techniques. It begins by defining key terminology like population, sample, sampling frame, etc. It then describes different types of populations and the purposes of sampling, which include being economical, improving data quality, and allowing for quicker study results.
The document outlines the steps in the sampling process, which include identifying the target population, establishing a sampling frame, specifying the sampling unit and size, and selecting the sample. It also discusses factors that can influence the sampling process.
Finally, it describes different sampling techniques, distinguishing between probability and non-probability sampling. It provides details on specific probability techniques like simple random sampling, stratified random sampling, and cluster sampling.
This document defines key terms related to sampling design and methods. It discusses the differences between populations, target populations, and accessible populations. It also defines samples, sampling frames, strata, random selection, and representativeness. The document outlines several probability sampling methods, including simple random sampling, stratified random sampling, cluster sampling, and systematic sampling. It also discusses non-probability sampling methods like convenience sampling, purposive sampling, and quota sampling.
Methods of Data Collection, Sampling Techniques and Methods in Presenting DataRG Luis Vincent Gonzaga
This document discusses different methods for collecting data, sampling techniques, and presenting data. It describes four common methods for collecting data: observation, interviews, schedules, and questionnaires. It also explains probability and non-probability sampling techniques such as simple random sampling, stratified sampling, and convenience sampling. Finally, it reviews three methods for presenting data: using text, tables, and graphical representations like bar graphs, pie charts, and histograms.
This document discusses various methods and tools for collecting data in empirical research. It describes primary and secondary data sources and different types of data collection methods including interviews, questionnaires, observation, and biophysical measurements. Specifically, it provides details on structured, unstructured, and semi-structured interviews. It also explains different types of questions that can be used in questionnaires such as open-ended, closed-ended, rating scales, and Likert scales. Advantages and disadvantages of interviews and questionnaires as data collection methods are highlighted.
This document discusses different types of experimental research designs. There are three main types of designs - pre-experimental, quasi-experimental, and true experimental. True experimental designs have the highest degree of control and involve manipulating the independent variable, using a control group, and random assignment to control for extraneous variables. Quasi-experimental designs manipulate the independent variable but lack either random assignment or a control group. Pre-experimental designs have the least control and do not use control groups or random assignment. Several examples of designs are provided within each category.
The document discusses sample and sampling techniques used in research. It defines key terms like population, sample, sampling, and element. It describes two main sampling techniques - probability sampling which uses random selection, and non-probability sampling which uses non-random methods. Some examples of probability sampling techniques include simple random sampling, systematic sampling, stratified random sampling, cluster sampling, and multi-stage sampling. Examples of non-probability sampling include convenience sampling, quota sampling, and purposive sampling. Sample size is determined using formulas like Slovin's formula.
The document discusses different types of interviews that can be used for research data collection. It describes personal interviews, telephone interviews, focus group interviews, depth interviews, and projective techniques. Personal interviews involve face-to-face communication between an interviewer and respondent. They are generally structured with questions planned in advance. Telephone interviews collect information by asking respondents questions over the phone. Focus group interviews involve a moderator leading a discussion among a small group of respondents. Depth interviews are nondirective and give respondents freedom to answer openly. Projective techniques indirectly reveal responses through interpretation of ambiguous objects or activities.
This document provides guidance on designing questionnaires. It discusses the different types of questions, including open-ended questions that allow free responses and closed questions that provide response options. It outlines best practices for formulating clear, unbiased questions and sequencing questions logically. The document also covers formatting questionnaires, translating them if needed, and testing the design through a review process. The overall goal is to create a questionnaire that efficiently collects accurate data to meet study objectives.
This document discusses various methods and techniques for collecting data. It begins by defining data collection as the process of gathering quantitative and qualitative information on variables to evaluate outcomes. Some key methods covered include interviews, questionnaires, observation, and record analysis. The document provides details on each method, including their purposes, advantages, disadvantages, and specific tools or techniques used. It emphasizes that the appropriate data collection method depends on factors like the study topic, sample size, and available resources.
Qualitative research focuses on words rather than numbers, generates theories rather than generalizing, and aims to understand participant views without claiming to generalize. Qualitative researchers are influenced by interpretivism and seek to understand social life through the eyes of participants by emphasizing context and flexibility over rigid structures. The qualitative research process involves generating questions, selecting sites and subjects, collecting and analyzing data, developing concepts and theories, and writing conclusions. Reliability and validity are ensured through methods like member checking and triangulation. Qualitative sampling uses non-probability methods like convenience sampling. Data collection methods include interviews, focus groups, document analysis, and observation.
The document discusses the characteristics, functions, types, and construction of questionnaires. It provides details on:
- Questionnaires should be short, simple, objective and avoid embarrassing questions.
- Functions include description and measurement of variables like attitudes and opinions.
- Types include fixed-response and open-ended questionnaires, and mail-administered vs face-to-face.
- Constructing a questionnaire involves deciding what to measure, the type, writing drafts, pretesting, and specifying procedures.
Research Instrument, Development & Analysis-The Questionnaire ShaharyarShoukatShou
This document discusses research questionnaires. It begins by defining a questionnaire as a list of printed questions completed by respondents. The primary purpose of a questionnaire is to extract data from respondents in a standardized way. There are two main types of questionnaires: unstructured/open-form questionnaires that allow free responses; and structured/closed-form questionnaires that have predetermined answer choices. The document then provides details on the characteristics, advantages, and types of both questionnaire formats.
Schedule and QuestionnaireDifference between Schedule and QuestionnaireTech...sanjay s.kumar
The document discusses the key differences between questionnaires and schedules as data collection instruments. It notes that schedules are administered through personal interviews by enumerators, making the process more expensive but allowing respondents to be identified and ensuring complete responses. Questionnaires are generally self-administered, making the process cheaper but resulting in higher non-response rates and incomplete information. The document also provides guidelines for developing valid and reliable questionnaires and schedules, including question structure, sequence, pre-testing and measuring various types of validity and reliability.
The document provides guidance on designing effective survey questionnaires. It outlines key steps including establishing clear goals, selecting an appropriate sample, developing different types of questions, testing the questionnaire, and administering the survey properly. Some important considerations include avoiding bias, keeping the questionnaire short, grouping similar questions together, and allowing "don't know" responses. Pre-testing the questionnaire is also recommended to identify any issues before full implementation.
1. The document discusses various topics related to conducting surveys including survey questionnaires, methods of administering surveys, types of survey questions, and disseminating survey information.
2. It provides details on personal, self-administered, and online methods of administering surveys and describes open-ended, dichotomous, multiple response, matrix, and contingency types of survey questions.
3. The document also discusses ways of organizing and presenting survey data, including through tally tables, pictograms, and bar graphs.
The document discusses key aspects of data collection and analysis for monitoring and evaluation projects. It covers topics such as qualities of good data, data collection methods including questionnaires, sampling methods, and data analysis techniques. Specifically, it emphasizes that collecting adequate, timely and relevant data is essential for evaluation and that questionnaires must be designed carefully to obtain accurate information and address all relevant variables. It also highlights the importance of representative sampling to make reliable estimates about target populations.
Survey research involves collecting information from a sample of individuals to determine opinions, preferences, or knowledge about a population. The key steps in survey research include defining objectives and the target population, determining what data to collect, selecting an appropriate sample and method of data collection, collecting the data, analyzing results, and reporting findings. Some common problems that can threaten the validity of survey results include nonresponse bias if those who do not respond differ significantly from respondents. Techniques like multiple contacts and personalized correspondence can help increase response rates.
The document discusses best practices for conducting surveys and writing questionnaires. It covers different methods of survey administration like face-to-face interviews, telephone interviews, and online questionnaires. It also discusses question formats, including open-ended and closed-ended questions, as well as tips for writing clear, unbiased questions to get accurate responses.
This document outlines the key aspects of survey research. It defines a survey, explains why surveys are used, and describes the characteristics and steps involved in survey research. It discusses tools for surveys such as interviews and questionnaires. It also covers survey research designs like cross-sectional and longitudinal studies. Finally, it summarizes the strengths and limitations of survey research.
The document provides guidance on designing effective questionnaires. It emphasizes that questionnaires must have well-defined objectives in order to ask relevant questions and draw meaningful conclusions from the responses. Questions should follow logically from clear objectives. It also stresses that both open-ended and closed-format questions each have advantages, and the type of questions used should depend on the specific information needed. Demographic questions can help analyze response patterns among different groups. Overall, carefully considering objectives, question types, and question wording is essential for creating a questionnaire that efficiently gathers high-quality data.
Data Collection is the segment of any type of research study. At the time when researcher need examine answers to the research problem data collection methods is critical for collection relevant information. this slide also depict of decision to be made by the Researcher towards data collection, methods of data collection with merits and demerits respectively.
This document provides information on primary research methods. It defines primary research as data collected first-hand by the researcher. Some key types of primary research discussed include interviews, surveys, and focus groups. The document outlines advantages of primary research such as control over the method and sample, as well as disadvantages like time and cost involved. It also discusses important considerations for primary research like sample size and margin of error. Examples are provided of questions that could be used in a survey as a primary research method.
This document provides information on primary research methods. It defines primary research as data collected first-hand by the researcher. Some key types of primary research discussed include interviews, surveys, and focus groups. The document outlines advantages of primary research such as control over the method and sample, as well as disadvantages like time and cost involved. It also discusses important considerations for primary research like sample size and margin of error. Examples are provided of questions that could be used in a survey as a primary research method.
Research methodology - Collection of DataThe Stockker
Concept of Sample, sampling, Characteristics of a good sample, Probability Sampling, Non Probability Sampling, Types of Data, Primary Data, Observations, Interview, The questionnaire method, Open v/s Closed questions, Precaution in Construction of Questionnaire, Collection of Secondary Data,
Research is an important step in preparing an advocacy campaign. Careful, objective research educates supporters about causes and effects of problems. The document discusses various research methods like surveys, interviews, focus groups, and secondary data collection. It also covers topics like sampling, designing survey questions, analyzing qualitative and quantitative data, and presenting research findings to different audiences.
This document provides an outline for a presentation on developing questionnaires. It discusses key topics such as the definition of a questionnaire, its purpose, elements, characteristics, types (open-ended, closed-ended, mixed), steps to develop one, when to use questionnaires, issues to consider regarding content and guidelines for development. Advantages and disadvantages of questionnaires are also presented. The document aims to inform participants on best practices for constructing effective questionnaires.
This is an exclusive presentation on data collection for researchers in National Institutes Labor of Administration & Training (NILAT), Ministry of production, government of Pakistan
Questionnaires 6 steps for research method.Namo Kim
The document summarizes the six key steps to developing and administering an effective questionnaire: 1) Determine your questions, 2) Draft questionnaire items, 3) Sequence the items, 4) Design the questionnaire, 5) Pilot-test the questionnaire, and 6) Develop a strategy for data collection and analysis. It provides details on each step, including how to write different types of questions, organize sections, and test and distribute the questionnaire. The overall aim is to systematically gather accurate information from respondents through a standardized self-reporting tool.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
1. 1
Surveys/questionnaires
How to conduct a survey
A survey is the gathering and analysis of information about a topic, an area or
a group of people [62].
Surveys can be an economical and efficient tool for collecting information,
attitudes and opinions from many people and for monitoring a project/program’s
progress.
When designed and administered correctly, the information collected can be
a true reflection of opinions held by the group from which you want information [63].
However, a high level of knowledge and skill is needed to design and implement a
good quality survey.
This document looks at three basic types of surveys:
self-completed questionnaires
face-to-face interviews
telephone surveys.
2. 2
There are nine steps to conducting a survey, including:
Step 1: Decide what you want to find out
Step 2: Decide who to survey
Step 3: Select survey method
Step 4: Decide how many people to survey
Step 5: Write the questions
Step 6: Trial the questionnaire or interview questions
Step 7: Conduct survey
Step 8: Analyse information
Step 9: Report findings
Step 1: Decide what you want to find out
The first decision to be made is what information do we need to collect.
(Answering the following questions can help determine this:)
What information is the survey trying to collect?
What do the survey questions need to determine?
Examples of the possible survey questions are:
How much does the community know about fall related injuries?
What does the community consider the most prominent cause of falls
which needs attention?
Second, decide if a survey is actually the best way to gather this information.
Deciding what information is required early in the process helps to avoid
frustration, wasting time and energy or gathering unwanted information.
3. 3
Step 2: Decide who to survey
The perfect survey would involve getting information from every member of
the community in whom you are interested (eg. all community dwelling residents
aged 65 to 75 years, local shopkeepers and businesses and home care nurses).
As it is not usually possible to survey the whole community, you will need to
survey a sample that represents the group. The sample needs to be representative
of the people you really want to talk to so that as little bias as possible occurs.
A biased sample would mean the results of the survey do not accurately reflect
the views of the people from whom you want information.
There are three main ways of selecting survey participants.
Selecting survey participants
Sample type Definition How to do it
Random
(less bias)
A random sample is a selection
where each person has had the
same chance of being selected
as all other people. A pure
random sample is often
difficult, as lists of all people
are not always available.
If lists of all people from which
information is wanted are
available, number each person
and select numbers randomly.
Survey the people with the
corresponding numbers.
Systematic Survey people according to
a set pattern or criteria.
Survey every third person
on a list.
Convenient
(more bias)
Survey people who can be
easily reached.
Survey people who walk past
or who visit a display.
Choose the way that fits best within your time, quality and financial constraints.
All methods are effective as long as potential bias is acknowledged.
The results will not be completely true or accurate, but they will give a fair idea.
4. 4
Step 3: Select the survey type
The survey type determines the way a survey is conducted, what is collected and
what is recorded. The type of survey used depends on the type of information you
want, how much information can be analysed and the time and resources available.
A combination of survey types can also be used.
There are three common types of surveys:
Self-completed questionnaires are most commonly presented as written
questions on paper. The questions are completed or ‘filled in’ by the participant,
usually without any assistance from the people who designed the questionnaire.
Telephone surveys involve an interviewer asking questions verbally
to a single, anonymous individual over the phone.
Face-to-face interviews involve an interviewer asking questions verbally to an
individual in-person.
The advantages of each type of survey are listed in the table below.
Self-completed
questionnaires
Telephone surveys Face-to-face interviews
Least expensive Good response rate Highest response rate
Fastest/least time
consuming
Allows for probing, reduces
misunderstanding and
missing answers
Allows for probing, reduces
misunderstanding and
missing answers
Can be mailed to
respondents
Can give some assistance
to the participant to
comprehend the question
being asked and respond
appropriately
Can assist the participant
to comprehend the question
being asked and respond
appropriately
Consistent as
respondents are all
asked exactly the
same questions
Participants do not require
reading and writing skills
to be involved
Participants do not require
reading and writing skills
to be involved
Good for getting large amounts
of information
Good for getting large amounts
of information, can ask more
complex questions
5. 5
The disadvantages of each type of survey are listed in the table below.
Self-completed
questionnaires
Telephone surveys Face-to-face interviews
Lowest response Time consuming
and expensive
Most time consuming
and expensive
No opportunity
for clarification,
misunderstanding
will go undetected
All questions must be asked
in exactly the same the way
for the answers to count
More difficult for all questions
to be asked in the same way
for the answers to count
Questions to be
asked can not be
complex
Questions can not be
too complex
Participants require
reading and writing
skills
Participants must have a
telephone and not be listed
on the do not call list
Note: A self-completed questionnaire could provide the interview questions for a face-to-face
interview or telephone survey.
Step 4: Decide how many people to survey
The more people surveyed, the more accurate the results are likely to be.
However, the larger the group, the greater the time and energy needed to
conduct the survey.
Considerations when deciding the sample size (eg. how many people to survey),
include:
how much data can be effectively collected and analysed, considering time,
energy and access to sources?
the type of survey that has been chosen.
The results will be more reliable with less bias if a larger sample size is surveyed.
6. 6
Step 5: Write the questions down
Questionnaires should be designed to be attractive, easily understood,
easily answered and to give you the required information.
Therefore, a lot of time is usually spent in getting the questions right.
This step looks at:
the types of questions to ask
how to design questions
the sequencing and presentation of questionnaires
covering letters and introductions.
The types of questions to ask
There are no hard and fast rules to decide which particular type of question to use,
because the questions will depend greatly on the type of information being sought.
The information gathered by any type of question must be useful, easy to gather
and easily interpreted.
There are two main types of questions:
open-ended
closed-ended.
7. 7
Open-ended questions
Open-ended questions are questions that can have unexpected answers as
they allow the answer to be left entirely to the respondent so they can express
their feelings without restriction. They can generate a wide range of replies [17].
Open-ended questions give ‘qualitative’ information. This type of information
gives the feeling of what respondents mean. This information allows themes
or ideas to be identified.
For example:
What do you think about the current level of strength and balance programs
in your community? (Please write your answer in the space below)
Open-ended questions often involve participants being asked to complete
a sentence about a subject.
For example:
Please answer the following question by completing the statement below.
I think that fall related injuries in older people could be reduced by…
8. 8
The table below lists the advantages and disadvantages of open-ended questions.
Advantages of open-ended questions Disadvantages of open-ended questions
Gives qualitative data Has potential to collect useless or
irrelevant information along with
valuable information
Useful when the full range of responses
to a given question is not known
Because respondents have the freedom
to say whatever they like, analysis is
much more difficult and time consuming
Useful when there are too many
potential response categories
eg. when it would be difficult to write
a neat, closed-ended question to
explore the issue
Requires higher writing skills from
respondents
Responses are not influenced by
a pre-arranged set of answers.
May lead to a lower response rate as
greater time and effort is needed from
respondents
Preferable for complex issues that
can’t be condensed into a few small
categories
Useful when respondents can give
information to clarify their answer
Closed-ended questions
Closed-ended questions are questions followed by a list of answers and a format
for making an answer [17]. These lists of answers are called response categories.
Closed-ended questions provide ‘quantitative’ information that can be counted.
The information can be discussed in terms of numbers, frequencies, and
percentages.
For more information on these statistics, see Step 8: Analyse the information and
Step 9: Report findings.
9. 9
There are several types of closed-ended questions, including:
multiple choice questions (one response)
multiple choice questions (multiple responses)
yes/no or true/false questions
scales and ratings
rank order questions.
Multiple choice questions (one response)
For example:
Are you male or female?
° Male ° Female
Multiple-choice questions with multiple responses allowed
For example:
Which of the following home safety modifications have you installed in your
home? (Please tick the appropriate box. You can tick as many boxes as needed)
° Double handrails on all stairs
° Contrast non-slip strips on all steps
° Non-slip surfaces in the shower/bath
° Grab rails in the bathroom
10. 10
Yes / No or True / False questions
For example:
Have you been physically active for 30 minutes each day in the last week?
° Yes ° No
or:
Strength and balance exercise can help you to maintain your independence.
° True ° False
Scales and ratings
Respondents are asked to rate the degree to which they agree or disagree with
a statement [17].
For example:
Older people can reduce their risk of falls. (Please circle)
1 2 3 4 5
Strongly agree Agree Not sure Disagree Strongly disagree
Rank order questions
Respondents are asked to number or rank a list of items in order of their importance.
For example:
Please number the following issues in your community in order of importance.
Place a ‘1’ next to the issue that you think is the most important. Place a ‘2’ next
to the issue that you think is the next most important and so on through to ‘5’
for the issue of least importance [17].
Issue Rating
Road traffic crashes
Crime
Falls in older people
Pollution
Fires
11. 11
Advantages and disadvantages of closed-ended questions
Advantages of closed-ended questions Disadvantages of closed-ended questions
Provides quantitative data
(i.e. can be counted)
May miss some crucial information
because it was not included as a
response category
Consistent and easier to answer, code,
analyse, and compare from respondent
to respondent
Respondents may feel frustrated that
their response is not listed or is not
exactly what they wanted to say
The meaning of the question is often
clearer to the respondent as they can
tell from the response categories what is
expected
It is easier for respondents to guess
or answer randomly
Respondents are more likely to provide
the exact information being sought
Can be difficult to know which
categories to include or there
can be too many categories
Best used when categories are discrete,
distinct and relatively few in number
Makes the questionnaire look longer
Note: To overcome some of these disadvantages, allow respondents the opportunity to add
information that has not been included in the categories. In addition, a ‘Don’t know’ category
helps to ensure all respondents can answer the question but their answers may not help with
your decision-making.
12. 12
Comparing open-ended and closed-ended questions
It is often assumed that open-ended questions will gather more information than
closed-ended questions. However, open-ended questions can sometimes actually
provide less information than closed-ended questions.
For example, look at a question such as “What do you think about the current
level of falls in older people in the community?”. Each respondent is likely to write
a different answer. Some may write about a particular experience they had with
their elderly parent’s last injury, or some might write one word such as ‘terrible’
or ‘okay’. When interpreting this information, there is no way of knowing what it is
about falls in older people that is ‘terrible’ or ‘okay’. Are they concerned about the
risks, costs, or services offered? [17]
Knowing the type of information you want will help which type of questions to use.
You can use both open-ended and closed-ended questions in the same
questionnaire or interview.
13. 13
How to design questions
The way questions are worded is crucial to obtaining useful and relevant
information.
The checklist below provides the steps needed in order to create
a good question that gives answers worth collecting.
1. What information is needed from this question?
2. What is the most direct question that will obtain this information?
3. Does this question satisfy all the requirements of a good question:
Is it going to provide useful information?
Is it short and simple? Use an example like: “Have any residents in the over
50’s village broken their arm from falling?” rather than “Have any residents
in the over 50’s village experienced a fracture of the radius or ulna from
falling from a height less than 0.5 metres?”
Can all respondents answer it? Use language to suit respondents
by limiting the use of jargon, acronyms or other shorthand.
Does it appear relevant? Respondents are likely to stop answering if they
see the questions as irrelevant to the subject being surveyed.
Is it specific, clear, direct, and fully explanatory?
Take the example: “Do you think community members are satisfied with
the falls in older people prevention practices?” Although this question may
seem specific, it is still quite vague.
– which community members? – carers, children of elderly parents,
aged care nurses, hospital based health care workers
which community practices? – this could refer to policy and procedures in–
residential aged care or hospitals, safety in the home, relevant legislation,
emergency treatment and/or education
14. 14
Over which timeframe? – current (last two months) or past community–
practices (last year)?
Therefore, you need to be clear about the dimensions of the variables.
Provide very clear instructions on how to answer. Do not assume that
respondents will know what to do [17].
Is it designed so people feel comfortable about sensitive questions? Preface
sensitive questions with a statement that gives people permission to answer
truthfully. For example: “Some older people find it difficult to make their
homes safer. What have you been able to do in your own home to make it
safer for you?”
Is it designed with both positive and negative choices included?
For example:– I find that the safety equipment currently available is:
° Too expensive ° Well-priced ° Difficult to install
° Easy to install ° Easy to access ° Limited in choice
4. Does the question avoid the following?
Ambiguity. For example: “Please tick which of the following community
safety activities you have participated in this year” rather than the less
specific question, “Please tick the following community safety activities
you know about”.
Double-barrelled questions. This means asking for more than one piece
of information in a question. For example: “Do you think the community
needs to improve the central and river public walkways?” This should be
asked as two separate questions.
Leading respondents. For example: “Don’t you think a new aged care free
transport scheme would be a good idea? Yes / No.”
Double negatives. For example: “Do you not think that home care nurses
have no time for questions?”
15. 15
5. What range of answers is the survey likely to get?
6. Do all the possible answers provide the information we are looking for?
7. Can we analyse the answers to this question to find the information required?
If you have answered ‘yes’ to all these questions: test the questions on someone else.
If you have answered ‘no’ to any of these questions: try writing the questions again.
Remember: people cannot provide answers to questions they are not asked.
The sequencing and presentation of questionnaires
The sequence of questions and the presentation of the questionnaire can
sometimes influence the willingness of respondents to participate in a survey [17].
Sequence
Use a logical sequence eg. ask about the number and age of older people in
the community before asking about aged care needs.
Include questions at the beginning to gain demographic information of interest
eg. age, family size, gender or ethnic status.
Begin with easier questions and place difficult, sensitive or potentially
threatening questions near the end.
Presentation of written questionnaires
Leave enough space between questions.
Select a good, clear font and larger print size for easier reading
(especially if older people are being asked to respond).
Ensure it is clear where the responses for each question are to be written,
eg. having answers lined up all on one side where it is clear and easy to notice
if questions have been missed.
Within budget, use colour, graphics and good quality paper to increase
attractiveness.
Consider using cartoons or pictures to maintain the interest of the respondent.
16. 16
Covering letters and introductions
A covering letter and introduction should always accompany a self-completed
questionnaire.
Interview surveys need to have introductory remarks. These aim to interest
respondents and persuade them to participate or help focus them on the topic [17,
63].
While keeping the introduction short and easy to understand, these are some
points that could be addressed in the covering letter including:
the importance and purpose of the survey
the credibility of the organisation conducting the survey
the importance of the respondent’s participation
the approximate time it will take to complete the questionnaire/interview
(see step 6: Trial the questionnaire or interview questions)
your assurance and reference to the appropriate legal requirements to keep
answers confidential
a note of urgency
your appreciation for their valuable time and effort
a person’s name and contact details for further enquiries
an offer for feedback of results
an explanation as to why they were selected to participate.
Include clear instructions on the actual questionnaire in addition to the
covering letter.
For a spoken introduction, speak firmly, clearly and not too fast.
For face-to-face introductions, make eye contact and smile.
When giving feedback about the results of the survey, do not promise anything
that cannot be given.
17. 17
Step 6: Trial the questionnaire or interview questions
A trial or pilot study refers to testing or ‘having a practice’ run of the
questionnaire or interview.
Testing is done to ensure:
the information you receive is the information you set out to get
there are no unexpected flaws
the information you obtain can be interpreted [62].
Circulate the questionnaire among colleagues, friends and a variety of people to get
their opinion [17]. Incorporate any valid suggestions into the questionnaire design.
It is also necessary to choose a small number of the actual target group, to fill in
the questionnaire or sit through the interview (don’t forget to time the process)
and then talk to them afterwards. This way you can find out if:
each question was easily understood
the response categories, layout and sequence were adequate [17]
the presentation was attractive and easy to read or listen to
any questions were considered too threatening or offensive
the information wanted is actually being obtained.
This also allows a trial data analysis to make sure the data received can actually
be used. Any missing or unnecessary information can be detected and questions
can be either added or removed as a result.
Don’t forget to re-test the questionnaire after changes have been made.
18. 18
Step 7: Conduct the survey
For questionnaires
Elect a questionnaire coordinator
A coordinator can be responsible for the distribution and return of self-completed
questionnaires and/or the organisation of reminder notices.
Organise questionnaire distribution
Tasks include:
writing the covering letter to accompany the questionnaire
including details about how, where and when to return the questionnaire
double checking that the questionnaire instructions are clear.
The number of respondents could be increased if you alert potential
participants that a questionnaire will arrive soon. For example, an initial letter or
advertisement could be sent out via an older person’s network newsletter. This
allows you to give some background information about why the questionnaire is
needed and how important it is for people to respond.
Organise questionnaire returns
This involves:
setting a due date for the return of questionnaires
ensuring that the date allows a reasonable amount of time for people
to complete and return the questionnaires eg. two weeks
organising a place of return such as a drop off box, a location where people
physically return their questionnaires, or including stamped self addressed
envelopes or, envelopes printed with the return address with the questionnaire
(with or without postage stamps).
19. 19
Send reminder notices for self-completed questionnaires
This will require a timetable but is important because reminder notices increase
the number of people who complete the questionnaire. Another copy of the
questionnaire may or may not be included with a reminder notice which could be
sent halfway through the allowed return time.
Example: Survey timetable
Week 1, Monday Letter and newsletter article to advise participants that
a questionnaire will arrive in a week
Week 2, Monday Questionnaires sent/distributed
Week 4, Monday Reminder notice sent
Week 6, Wednesday Questionnaire due date
Week 7 Analyse surveys
Week 9 Finalise report
Week 10 Summary of the results given to the community
eg. published in newsletter
For telephone surveys or face-to-face interviews
Elect a coordinator
A coordinator of telephone surveys or face-to-face interviews can be responsible
for contacting respondents to organise interview times. A coordinator can also
organise the interviewers if more than one interviewer is used, organise appropriate
interview rooms and arrange translations into other languages if needed.
Set up an interview procedure
Design a procedure to be followed by all interviewers to ensure that all respondents
are being told and asked the same information, especially when there is more than
one interviewer. This will standardise the way the survey is conducted.
The procedure may include what to do when respondents are not home, or when
respondents do not turn up. The procedure could also contain the introduction
that interviewers say to respondents and instructions on how to answer any
possible questions respondents may have.
20. 20
Step 8: Analyse the information
An analysis and discussion is necessary to make sense of the data collected.
It is important to think about how the data will be analysed when designing the
survey. Gathering information is useless if it cannot be analysed.
Analysis is also likely to take up a significant amount of time in the survey process.
The method of analysis used depends on the type of data gathered.
Analysing closed-ended questions by hand (quantitative data)
For small surveys (under 100 respondents), sorting and tallying by hand is an
option. However, this can be time consuming and prone to error [62].
Some basic analysis techniques include using frequencies and percentages.
Frequencies are tallies of the responses. These are the actual number of
respondents who chose each response.
For example:
Question 1 in a trial questionnaire:
‘Yes’ response = 32 respondents
‘No’ response = 8 respondents
‘Not sure’ response = 5 respondents
Total responses = 45
Percentages are the proportion of people who chose each response out of the
total number of respondents.
For example:
For the example used above, the percentage of participants who chose ‘Yes’
would be the frequency (32), divided by the total number of responses (45),
multiplied by 100 to equal a percentage. This would give the following results:
Question 1 in a trial questionnaire:
‘Yes’ response = 32÷45 x 100 = 71%
‘No’ response = 8÷45 x 100 = 18%
‘Not sure’ = 5÷45 x 100 = 11%
21. 21
Analysing open-ended questions (qualitative data)
For open-ended questions, the analysis of responses is more complex.
Before the responses can be tallied, they have to be sorted and categorised.
Sort through the responses for each question to find common themes, words
or elements in order to group responses into common categories. Sometimes
it is helpful to cut up the questionnaires so that responses can be physically
put into different ‘piles’ during the categorisation stage. Other times, the
responses can be coded for computer analysis by assigning specific numbers
to the categories [62].
Tally the number of responses in each category.
Repeat the same procedure for each question.
The most commonly expressed themes could form a list of issues.
This type of data can give frequencies and identify general trends. Qualitative type
data cannot reveal percentages.
When discussing the results from open-ended questions, it is better to generalise
about the frequency of responses eg. “the majority…”, “most respondents
indicated…”, or “a few respondents identified…”. For example, you cannot say,
that “40% of respondents thought better medication management was an issue
that needed addressing”.
If someone fails to mention something in an open-ended question, it is not clear
whether it is because they did not think of it, or because they thought of it and
subsequently dismissed the idea.
Computer programs such as Excel, Access or SPSS can assist with the analysis of
the data if there is access to people with the necessary technical skills.
22. 22
Interpreting results
When interpreting what the results of the survey mean, it is important not to
generalise too much.
For example, the results of a falls prevention survey at one community would not
necessarily apply to another community.
It is also important to recognise and acknowledge any possible bias in the results.
Not all people in the community have been asked (only a representative sample),
and not all people asked have given their responses (because not all people
completed the survey). Therefore, the survey results will not represent the exact
opinions of the whole community.
Some bias in the results will always exist. This should be remembered when
making decisions that affect the whole community.
The response rate is the number of people who actually responded to your survey,
expressed as a percentage of the number of people who were approached [62].
For example, 45 people returned the survey out of 100 surveys sent which gives
a 45% response rate.
Looking at the response rate can indicate how biased the results are likely to be.
The lower the response rate, the more biased and unrepresentative the results
will be of the group that was surveyed. This is because the type of person who
completed the survey is likely to be different from the type of person who did
not participate (eg. people with good reading and writing skills are more likely
to participate than people who have trouble reading and writing).
23. 23
This example highlights the need to be aware that some processes can exclude
some groups within your community.
Researchers generally aim for a response rate of 65% or better from the target
group or community [17]. A response rate of this proportion will give more
confidence in making accurate judgments about the group surveyed.
Response bias
Response bias is when respondents give an answer that they think you want to
hear, rather than what they really think. Surveys attempt to reduce such possible
bias by making sure that all respondents are presented with the same series
of questions [17]. This would mean that different responses occur because of
a difference between the respondents sampled, not because of a difference in
the way the questions were asked. For example, for consistency to occur with
interviews, each question has to be asked in exactly the same way, including
tone of voice and body language. In telephone surveys, all respondents must be
asked the same questions. It is important to try and minimise any response bias
in a survey. Ensuring anonymity, confidentiality, and having a non-judgmental
interviewer can help.
24. 24
Step 9: Report the findings
It is important that information gathered is given back to the community from
which the information was obtained.
The survey results should also be given to and used by relevant decision-makers.
The survey is only as good as the sorts of planning decisions and interventions
that grow from it and this depends on how well the results can be communicated
to others [17].
In the report, it is important to recognise and discuss any difficulties or problems
that might affect the interpretation and generalisation of the findings. The people
you are communicating the results to should be aware of how representative of
the community the results are.
Traditionally, the results of surveys are conveyed through written reports.
It is therefore useful to keep:
a record of the survey procedures used
the questionnaire or interview questions
the results found, which may or may not be in the form of a formal report.
Communicate survey results by using one or more of the following strategies:
a letter
a newsletter or newspaper article
public meetings
static displays eg. in shopping centres, at local events or in libraries
using electronic media, email and websites.
25. 25
How to write a report
Decide on the exact purpose of the report and plan the structure of the report to
suit the purpose.
Sometimes a more formal report may be needed. Other times, you may like to put
key points in a colourful, friendly-looking booklet. Occasionally, a presentation
or display that communicates survey results directly may be more relevant to the
target audience.
Write the report, considering the following headings.
Executive summary provides a summary of the main themes, findings and/or
recommendations (usually only needed for lengthy reports)
Introduction provides some background information, sets the scene and
usually includes a rationale eg. what has been achieved so far and reasons for
the activities and the report
Method explains the steps taken and the processes used eg. questionnaire
design, how respondents were selected
Results includes the facts, the data, and the outcomes (ie. whatever it is you
want people to know about). The results are grouped and placed in a logical
sequence
Discussion allows for interpretation and explanation of the results, discusses
findings and conclusions and examines any conflict in the results
Recommendations provides suggestions for further action
Conclusion sums up what has been discussed and states a focus, outcome,
dominating theme or position and what is going to happen next.
References/appendices should also be included as appropriate.
Citation: Queensland Health. 2007. Queensland ‘Stay On Your Feet® Community Good Practice
Toolkit- Phase 1 materials: Surveys/questionnaires. Health Promotion Unit, Division of the Chief
Health Officer, Queensland Health.
This information is based on Health Promoting Schools – A toolbox for creating healthy places to
learn, work and play, Booklet 6 – How to gather information, produced by Public Health Services,
Queensland Health, 2001.