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Questionnaire Development & Survey Design

Questionnaire Development & Survey Design. Web-Based Teleconference Wednesday, January 25, 2006 10:00 am to 11:30 am PST 11:00 am to 12:30 pm MST 12:00 noon to 1:30 pm CST 1:00 pm to 2:30 pm EST. Holly Ruch-Ross, ScD Diane O’Rourke, M.A. Teleconference Objectives:.

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Questionnaire Development & Survey Design

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  1. Questionnaire Development& Survey Design Web-Based Teleconference Wednesday, January 25, 2006 10:00 am to 11:30 am PST 11:00 am to 12:30 pm MST 12:00 noon to 1:30 pm CST 1:00 pm to 2:30 pm EST Holly Ruch-Ross, ScD Diane O’Rourke, M.A.

  2. Teleconference Objectives: • Determine if a questionnaire is right for you • Describe types of questionnaires • Learn steps to develop survey questions • Discuss issues related to understanding & communicating your results

  3. Definitions Survey = A project used to gather information Questionnaire = A tool used to collect information from your target population A questionnaire is often a tool used in a survey project. Note: In these slides, questionnaire is sometimes abbreviated as “Q”, and “R” stands for respondent, the person answering the questions.

  4. Before You Start • Be very clear about what you need to learn • What are the questions you have about your program? • What questions emerge from your program’s objectives? • Know how you are going to use the information you collect, including how you will analyze it. • Consider the best method to collect the information you need.

  5. Is a questionnaire suitable for what you need to learn? A questionnaire is most useful for assessing: • Demographic Characteristics or Facts • Knowledge • Attitudes • Behavior • When self-report is appropriate/adequate

  6. Is a questionnaire suitable for what you need to learn? A questionnaire may be less suited to: • Understand underlying feelings and motivations • Study specific issues in depth and detail • In general, “how” and “why” questions may not be as well answered as “who”, “what”, “where”, “when”, and “how many” questions

  7. Is a questionnaire suitable for what you need to learn? A questionnaire may be less useful if: • There are cultural, language or literacy issues with the target population • You know very little about the target population or the specific topic of interest • You do not have good access to the target population • The number of participants is small • Staff does not have expertise or experience in design or administration of questionnaires and/or analyzing results

  8. Is there an alternative way to find out what you need to know? • See if literature on the topic already exists • Talk to colleagues and community partners about information they may have • Check for existing data in your community • Consider what information you already have collected (as a part of needs assessment, service delivery or for other purposes)

  9. Once you’ve decided that a questionnaire is the best option… THE REAL WORK BEGINS!

  10. Questions that need to be answered before you start creating a questionnaire • Are there existing tools (sets of questions) that you can use instead of writing new questions? • When and how will information be collected? • Who will collect it? • How will participants be tracked (if follow-up is planned)? • Who is responsible for data handling? • How will participant confidentiality be protected? (HIPPA, etc.) • How/Who will analyze the data?

  11. Ways to Administer a Questionnaire to Your Target Population • Interviews • Personal (Face-to-Face) • Telephone • Self-administered • Mail • Web • On-site (school, clinic, etc.) • Combination of Methods

  12. Personal Interviewing ADVANTAGES: • Generally yields highest cooperation and lowest refusal rates • Allows for longer, more complex interviews • High response quality • Takes advantage of interviewer presence • Multi-method data collection • Literacy levels are not a major concern

  13. Personal Interviewing DISADVANTAGES: • Most costly mode of administration unless at sites • Longer data collection period • Interviewer concerns (Bias)

  14. Telephone Interviewing ADVANTAGES: • Less expensive than personal interviews • Shorter data collection period than personal interviews • Interviewer administration (vs. mail) • Better control and supervision of interviewers (vs. personal) • Better response rate than mail • Literacy levels are not a major concern

  15. Telephone Interviewing DISADVANTAGES: • Biased against households without telephones, unlisted numbers • Issue of calling cell phones • Questionnaire constraints • Difficult for sensitive questions or complex topics

  16. Self-Administered Mail Questionnaires ADVANTAGES: • Generally lower cost than interviews • Less staffing (no interviewers) • Easier access to respondents • Respondents can look up information or consult with others • Respondents can fill out questionnaire at leisure

  17. Self-Administered Mail Questionnaires DISADVANTAGES: • Most difficult to obtain cooperation • More burden on respondent • Need good address information • More likely to need an incentive for respondents • Slower data collection period than telephone • Literacy levels must be considered

  18. Self-Administered Web Questionnaires ADVANTAGES: • Lower cost (no paper, postage, mailing, data entry costs) • Time required for implementation reduced • Complex skip patterns can be programmed • Sample size can be greater DISADVANTAGES: Usually not an accessible method for underserved populations

  19. On-Site Questionnaires ADVANTAGES: • Easy access to respondents (school, clinic, etc.) • Group administration possible • Can be an interview or self-administered questionnaire DISADVANTAGES: May produce biased sample (some students not in school, some people needing care not at clinic ) Setting may produce socially desirable results (e.g., satisfaction with clinic) If self-administered, must consider literacy levels

  20. When choosing the type of questionnaire, you must also consider… Language Barriers • If Self-administered Q: • Translate to another/other language(s) • If Interview: • Translate into another/other language(s) OR • Have bilingual interpreters or translators on the spot • Other Possibilities: • For a self-administered Q, tape record the Q in the other language (respondent uses headphones to listen and respond) -Must be literate enough to fill in the answers • Have help from the family/another who is bilingual (CAUTION!)

  21. When choosing the type of questionnaire, you must also consider… Staffing Needs • Someone with knowledge of Q design (and sampling, if applicable) • Clerical tasks (mailing Qs, interviewer assignments, etc.) • Trained interviewers and supervisors, if applicable • (Special issues if using volunteers/staff as interviewers) • Data entry/computer programming skills

  22. The Art Of… QUESTIONNAIRE DESIGN: 5 Steps to Developing a Questionnaire • Drafting questions • Drafting response categories • Ordering the questions • Including appropriate instructions • Pre-testing and revising

  23. 1. Drafting Questions: What is a Good Question? • One that yields a truthful, accurate answer • One that asks for one answer on one dimension • One that accommodates all possible contingencies of response • One that uses specific, simple language • One that minimizes social desirability • One that is pretested

  24. What is Social Desirability? • Respondents will try to represent themselves to the interviewer (or on the questionnaire) in a way that reflects positively on them • As questions become more threatening, respondents are more likely to overstate or understate behavior, even when the best question wording is used

  25. Minimizing Social Desirability • Use a self-administered Q rather than an interview (don’t have to “confess” to an interviewer) • Ask a longer question, including reasons for the socially undesirable behavior (e.g., “Many people find it very hard to find time to exercise…”) • Use the answer categories to “soften” the behavior (e.g., Average number of drinks per day: None, 1, 2, 3, 4-6, 7-9, 10+) (rather than None, 1, 2, 3+) • Ask for an “open-ended” response (no categories given): _____ drinks

  26. Drafting Questions: Ask only 1 question at a time • Beware of “AND” and “OR” • Bad Examples: • “How would you rate the support OR assistance you received through this program?” • “Do you agree or disagree that this program helped you to learn more about foods ANDeat better?”

  27. Drafting Questions: Alternatives to Yes/No It’s easier to say “yes” than “no” So…. Rather than ask “Do you like A?” ask “Do you like A or do you like B?”

  28. Alternatives to Yes/No Rather than ask: “Are you satisfied with A?” Ask: How satisfied are you with A? • Would you say you are…very satisfied, somewhat satisfied, not too satisfied, not at all satisfied?

  29. Alternatives to Yes/No You can also ask the question this way: How satisfied or dissatisfied are you with A? • Would you say you are…very satisfied, somewhat satisfied, somewhat dissatisfied, very dissatisfied?

  30. Drafting Questions:OPEN VS. CLOSED QUESTIONS General rule: closed questions (response categories given) are usually better • Easier for the respondent • Less coding later • Better to have respondent do categorizing • Categories help define the question

  31. Disadvantages of Closed Questions • Categories may be leading to respondents • May make it too easy to answer without thinking • May limit spontaneity • Not best when • asking for frequency of sensitive behaviors • there are numerous possible responses

  32. 2. Drafting Response Categories • If appropriate, include a “don’t know” or “not applicable” category • Response categories should be consistent with the question • Bad Example: Are you satisfied …? (Very, Somewhat, Not too, Not at all) • Good Example: How satisfied are you …? (Very, Somewhat, Not too, Not at all)

  33. Drafting Response Categories • Categories must be exhaustive, including every • possible answer: • Bad example: Number of children: 1, 2, 3 • Good example: Number of children: None, 1, 2, 3, 4+ • Bad example: How did you hear about the program: • Doctor (2) School (3) After-school program • Good example: (1) Health-care provider (doctor,nurse), (2) School (teacher, school nurse), (3) After-school program, (4) Family/friends, (5) Other (specify)

  34. Drafting Response Categories Categories must be mutually exclusive. Bad example: Age: 20-30, 30-40, 40-50, 50-60, 60+ Good example: Age: 20-29, 30-39, 40-49, 50-59, 60+

  35. Drafting Response CategoriesRESPONSE SCALES • Respondents can generally remember a maximum of only 5 responses unless visual cues are used • Number of points in scale should be determined by how you intend to use the data • For scales with few points, every point can be labeled (very satisfied, somewhat satisfied, somewhat dissatisfied, very dissatisfied) • For longer scales, only the endpoints are labeled (On a scale of 1 to 10 where 1 is Totally Dissatisfied and 10 is Totally Satisfied)

  36. Drafting Response CategoriesRESPONSE SCALES Common scales: • Very, Somewhat, Not too, Not at all • Very concerned, Somewhat concerned, Neither concerned nor unconcerned, Somewhat unconcerned, Very unconcerned • (1 to 10) Extremely dissatisfied – Extremely satisfied

  37. 3. Ordering the Questions • Start with easy questions that all respondents can answer with little effort • Should also be non-threatening • Don’t start with knowledge or awareness questions • First questions should be directly related to the topic as described in the introduction or advance/cover letter

  38. Ordering the Questions • Segment by topic • Ask about related topics together • “Salient” questions (important to the respondent) take precedence over less salient ones • Ask recall backwards in time • Use transitions when changing topics – give a sense of progress through the questionnaire • Leave sensitive questions (e.g., income) for the end • Put demographic questions at the end (most sensitive) unless needed for branching/screening

  39. 4. Including Appropriate Instructions: The Cover Letter Introduction should indicate: • Who is conducting the survey • The topics to be covered in the Q • An assurance of confidentiality • Any Internal Review Board stipulations • Whether or not you mention length depends on mode, topic, population • Must consider literacy levels • Who to contact for additional information

  40. 5. Pre-Testing and Revising • Essential part of every survey project • Will inevitably need to make changes before finalizing Q • May start by having staff/colleagues review Q • Ultimately need to pretest on same types of people as those who will answer the Q • Pretest same mode(s) as final plan (e.g., phone, self-administered)

  41. So You’ve Collected Your Questionnaire Data… Now What?

  42. Understanding Your Results • Several factors that significantly affect your results: • History • Passage of time (maturation) • Selection

  43. Factors That Affect Your Results • History: Things that happen in your community outside of your project • Example: A new state law changes eligibility for services. • Strategies: • Use comparison information. • Document, consider in interpretation and be sure to report.

  44. Factors That Affect Your Results • Passage of time (maturation): People naturally mature and change over time • Example: You want to track height and weight among children with developmental delays. • Strategies: • Use comparison information. • Choose measures that can reflect program effects.

  45. Factors That Affect Your Results • Selection: Who completes your questionnaire and who is skipped or missed • Example: You only collect data on families who come to the clinic and consistently miss families who are not showing up to their appointments. • Strategies: • Use your knowledge of your target population to schedule data collection to maximize response, and follow-up with groups that appear to be missing. • If resources are limited, consider collecting data from a random sample of program participants, and invest your energy in finding as many of those selected as possible. • Use comparison information.

  46. Factors That Affect Your Results • Random Sampling means that those who complete your questionnaire are chosen at random, not based on any individual or family characteristic, group membership, or pattern of participation. If people are selected randomly, it eliminates many sources of bias in your results. • Examples of non-random sampling strategies • The questionnaire is completed only by those who attend an evening event at your agency. • Individuals are invited to participate through a telephone call by the receptionist, who calls those she knows are nice people likely to come in (and, of course, who have phones). • The first 25 people to arrive complete a questionnaire.

  47. Factors That Affect Your Results • Drawing a Random Sample • Draw names from a “hat” • Select every third or every fourth person on a list of all program participants. • Use a coin toss to decide whether each individual will be included. • Using a random sample may allow you to represent your target population with a smaller number of people. BUT, if you select respondents randomly, you need to invest the resources to ensure maximum response from those selected (or else bias is re-introduced!).

  48. Understanding Your Results • History, maturation and selection are important because they limit your ability to demonstrate that your program helped participants to change • If everyone changed (history or maturation), a finding that participants have changed as well may not reflect the program’s impact. • If your program participants were very different from non-participants to start with (selection), your results may reflect that difference rather than program impact. • If the program participants you survey were different from those you did not, your results will not reflect the experience of everyone involved (selection).

  49. Understanding Your Results The impact of history, maturation and selection can be better understood by: Knowing who, within your own target population, is missing Using comparison information from outside your program

  50. Knowing Who is Missing • Use community level data to examine who is not coming in for service and/or is excluded from data collection. • Use baseline or pretest data not only for individual comparison, but to see who is not followed over time and who does not remain in service.

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