Title: Questionnaire Development
1Questionnaire 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.
2Teleconference 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
3Definitions
- 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.
4Before 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.
5Is 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
6Is 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
7Is 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
8Is 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)
9Once youve decided that a questionnaire is the
best option
THE REAL WORK BEGINS!
10Questions 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?
11Ways 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
12Personal 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
13Personal Interviewing
DISADVANTAGES
- Most costly mode of administration unless at
sites - Longer data collection period
- Interviewer concerns (Bias)
14Telephone 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
15Telephone Interviewing
DISADVANTAGES
- Biased against households without telephones,
unlisted numbers - Issue of calling cell phones
- Questionnaire constraints
- Difficult for sensitive questions or complex
topics
16Self-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
17Self-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
18Self-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
20When 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!)
21When 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
22The 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
231. 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
24What 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
25Minimizing 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
26Drafting 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?
27Drafting 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?
28Alternatives 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?
29Alternatives 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
31Disadvantages 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
322. 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)
33Drafting 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)
34Drafting 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
35Drafting 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)
36Drafting 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
373. 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
38Ordering 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
394. 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
405. 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)
41So Youve Collected Your Questionnaire Data
Now What?
42Understanding Your Results
- Several factors that significantly affect your
results - History
- Passage of time (maturation)
- Selection
43Factors 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.
44Factors 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.
45Factors 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.
46Factors 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.
47Factors 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!).
48Understanding 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).
49Understanding 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
50Knowing 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.
51Using 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
52Types 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
53What 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)
54Some Common Uses of Findings
- Improve services
- Advocate for service population
- Obtain funding
- Support replication
- Market services or organization
- Promote policy change
55Some Possible Target Audiences
- Current funders (meet grant requirements)
- Potential funders
- Community members
- Potential recipients of services
- Other service providers
- Policy makers
- Project/agency staff
56Data 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
57Sharing 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.
58Sharing 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
59Where 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
60AAP 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
61Thank You for Your Participation!