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Questionnaire Development

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Title: Questionnaire Development


1
Questionnaire Development Survey Design
Web-Based Teleconference Wednesday, January 25,
2006 1000 am to 1130 am PST 1100 am to 1230
pm MST 1200 noon to 130 pm CST 100 pm to 230
pm EST
Holly Ruch-Ross, ScD Diane ORourke, 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 programs
    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 youve 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 (dont 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 AND eat
    better?

27
Drafting Questions
Alternatives to Yes/No
  • Its 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 arevery 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 arevery satisfied, somewhat
    satisfied, somewhat dissatisfied, very
    dissatisfied?

30
Drafting QuestionsOPEN 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 dont 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 Categories RESPONSE
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 Categories RESPONSE
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
  • Dont 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 Youve 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 programs 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.

51
Using Comparison Information
  • Allows you to understand possible effects of all
    three factors (history, selection, maturation)
  • Allows you to examine possible effects of
    variations in level of participation in services

52
Types of Comparison Information
  • A randomly assigned control group is the gold
    standard, but usually not feasible for
    community-based programs
  • Local comparison group
  • Community, state or national data
  • Absolute standard
  • Change over time

53
What To Do With Results
  • Considerations
  • Original purpose of data collection
  • Target audiences
  • Quality of information
  • Representativeness (selection is minimized)
  • Completeness (the extent to which full
    information is available for everyone at the
    correct time points)
  • Comprehensiveness (extent to which the right
    questions were asked of the right people)

54
Some Common Uses of Findings
  • Improve services
  • Advocate for service population
  • Obtain funding
  • Support replication
  • Market services or organization
  • Promote policy change

55
Some Possible Target Audiences
  • Current funders (meet grant requirements)
  • Potential funders
  • Community members
  • Potential recipients of services
  • Other service providers
  • Policy makers
  • Project/agency staff

56
Data Analysis
  • Simple is usually best
  • Frequencies (counts)
  • Cross-tabulations between two variables of
    interest
  • Computer analysis is not always essential,
    depending on the complexity of the questionnaire
    and the number of respondents
  • Computer analysis can be simple, too. Look at
    what is already on your computer (e.g., Excel)
  • Consider budgeting for someone to conduct data
    entry and analyses

57
Sharing Your Findings
  • Put findings into their proper context so that
    they are interpretable. Briefly describe the
    questionnaire, the process and who responded.
  • Be clear about limitations on conclusions you are
    able to draw, based on data quality and your
    ability to address factors such as history,
    maturation and selection.
  • Questionnaire results can be very dry. Tell
    stories to illuminate the findings and/or to help
    describe the responding population.
  • Invite response and input from other service
    providers, community members, and members of the
    target population to check your findings and your
    interpretations.

58
Sharing Your Findings Reports
  • Short reports are more likely to be read
  • Include an executive summary
  • Use bullet points
  • Use tables, charts and graphs as much as possible
  • A picture is worth a thousand words

59
Where to Find More Information
  • Bradburn, N, Sudman, S. and Wansink, B.. Asking
    Questions The Definitive Guide to Questionnaire
    design for Market Research, Political Polls,
    and Social and Health Questionnaires. San
    Francisco Jossey Bass, 2004.
  • Dillman, Don. Mail and Internet Surveys The
    Tailored Design Method. New York John, Wiley
    Sons, Inc, 2000.
  • Evaluation Resources on the AAP Web Site
    http//www.aap.org/commpeds/resources/evaluation.h
    tml
  • CDC Evaluation Resources
  • http//www.cdc.gov/eval/resources.htmmanuals
  • StatPac Designing Surveys and Questionnaires
    http//www.statpac.com/surveys/contents.htm

60
AAP Staff Contact Information
  • Healthy Tomorrows
  • Nicole Miller nmiller_at_aap.org
  • Karla Palmer kpalmer_at_aap.org
  • CATCH
  • Lisa Brock lbrock_at_aap.org
  • Kathy Kocvara kkocvara_at_aap.org

61
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