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How to Conduct Surveys to Better Understand IT Projects

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Title: How to Conduct Surveys to Better Understand IT Projects


1
How to Conduct Surveys to Better Understand IT
Projects
  • Maureen Brown
  • School of Government, UNC Chapel Hill
  • March 23, 2004
  • Reston, VA

2
Agenda
  • Hour 1 Introduction to Survey Design
  • Hour 2 Designing Questions to Assess SACWIS

3
Session Objectives
After completing this session, you should be
prepared to
  • Identify the steps of the survey process
  • Discuss the strengths and weaknesses of the four
    primary survey designs
  • Identify the six primary cost factors of surveys
  • Define the two primary types of questions
  • Identify the six types of close-ended questions
  • Describe the two ways to develop a sample
  • Relate the four primary types of errors
  • Discuss the two primary ethical issues associated
    with surveys
  • Identify best practices for successful surveys

4
Steps of the Survey Process
  • Define the Objectives of the Survey
  • Determine the Sample Group
  • Draft the Questions
  • Test the Questions
  • Administer the Questionnaire
  • Analyze the Results

5
Define the Objectives
  • Needs Assessment To solicit opinion about
    IT/data problems and solutions, requirements
    elicitation
  • Marketing To evaluate nature and level of demand
    for a particular IT/data solution
  • Evaluation To isolate the impact of IT/service
    Clinger-Cohen, ROI, C/BA, risk mitigation,
    performance

6
What information do you need?
Define the Objectives (cont.)
  • What problem are you trying to solve?
  • What information do you need to solve it?

7
Define the Objectives (cont.)
Precision is CRITICAL! Think in terms of
RESULTS! Preparing hypothetical results can help
to separate need to know from nice to know
8
Survey Designs
  • Mail Out
  • Online
  • Telephone
  • Face-to-Face

9
Survey Designs (cont.)
  • 1. Mail out (including email)
  • Typical procedure. . .
  • First a personalized, advance notice letter
  • Second 1 week later, a personalized letter, the
    survey, and a stamped self-addressed return
    envelop
  • Third 4 to 8 days after the survey goes out, a
    follow-up postcard thanking those who responded
    and requesting a response from those who did not
  • Fourth 3 weeks after the survey went out, to
    those who have not yet responded, a new
    personalized cover letter informing people, We
    have not yet heard from you with a replacement
    survey and stamped return envelop

10
Survey Designs (cont.)
  • 2. Online
  • Typical Procedure. . .
  • First Build the survey
  • Second Test the survey
  • Third Post the survey
  • Fourth Notify potential respondents of location
    and
  • by-date
  • Fifth Follow up with respondents

11
Survey Designs (cont.)
  • Benefits Cost and Time
  • Average cost of paper surveys 2.07USD per
    respondent
  • Average cost of web-based surveys .88USD
  • Problems Web page design, computer programming
  • Source Schaefer, E. (2001). Web surveying
    how to collect important assessment data without
    any paper. (http//oiir.iit.edu/oiir/Presentations
    /WebSurveying/WebSurveying_20010424.pdf)
  • Office of Information Institutional Research.
    Illinois Institute of Technology. Retrieved
    February 20, 2002. (http//oiir.iit.edu/oiir/Prese
    ntations/WebSurveying/WebSurveying_20010424.pdf)

12
Survey Designs (cont.)
  • Provide instructions for the necessary computer
    actions, (i.e., erasing radio buttons, drop-down
    menus, and clearing open-ended questions).
  • Provide instructions where the action is
    necessary, not at the beginning of the
    questionnaire.
  • Do not make it necessary for respondents to
    answer each question before going on to a next
    one.
  • Use a scrolling design that allows respondents to
    see all questions unless skip patterns are
    important.
  • Make sure that all responses can be displayed on
    one screen, using double rows if necessary and
    navigational aids to achieve this.

13
Survey Designs (cont.)
  • Use a welcome screen that is
  • Motivating
  • Emphasizes the ease of responding
  • Shows respondents how to move to the next page
  • Use a conventional format similar to a paper
    questionnaire.
  • Consider brightness, fonts, navigation, and
    spacing.
  • Limit line length.
  • Respondents are less likely to skip words when
    lines are short.

14
Survey Designs (cont.)
  • Use symbols or words to give notion of progress.
  • Exercise caution with question structures that
    are known to have measurement problems in paper
    surveys, such as check-all-that-apply and
    open-ended questions.
  • Remember
  • Browser Difference
  • Computer Experience Differences
  • Data Security and Privacy
  • Violates Laws of Randomization

15
Survey Designs (cont.)
  • 3. Telephone
  • 4. Face-to-Face
  • Typical Procedure. . .
  • First Send a notification letter indicating
    purpose and time length may also send a draft of
    questions that will be asked
  • Second Schedule an appointment
  • Third Be punctual!

16
Response Rates
  • 7 44 for web surveys
  • 6 - 68 for email
  • Combination of mail and web has been most
    effective
  • Cost benefits of web versus mail are not well
    known

17
Cost Factors
  • How many people are available to work on the
    survey
  • Experience level
  • Time to produce results
  • Consulting costs
  • Facilities
  • Budget

18
Types of Measures
  • Subjective Versus Objective Questions
  • Independent Variables
  • Dependent Variables
  • Control Variables (demographics)

19
Types of Questions
  • Open-ended
  • Breaking the ice in an interview when
    respondents' own words are important when the
    surveyor doesn't know all the possible answers
  • Closed-ended
  • Collecting rank ordered data when all response
    choices are known when quantitative statistical
    results are desired
  • Likert-scale
  • Multiple-choice
  • Ordered
  • Unordered
  • Numerical
  • Partially Close-ended

20
Types of Questions (cont.)
  • Open-ended
  • In your opinion, what software feature is needed
    most?
  • Best for focus groups or other kinds of
    exploratory questioning
  • Identifies range of answers that can be offered
    to respondents in more structured interviews
    later in the research process
  • Rarely yields useful data for making reliable
    estimates about the percent of people with
    particular views or characteristics

21
Types of Questions (cont.)
  • Likert-scale
  • When you want to know respondents' feelings or
    attitudes about something  

22
Types of Questions (cont.)
Multiple-choice When you want respondents to pick
the best answer or answers from among all the
possible options
23
Types of Questions (cont.)
  • Ordered responses
  • listed below
  • Asks respondents to evaluate problems/solutions
    independently of each other
  • Measures respondents view of seriousness of each
    problem/solution
  • Guides policy making by showing the extent to
    which one item is viewed as more important than
    another

24
Types of Questions (cont.)
  • Unordered response
  • Asks respondents to choose the single most
    important item from a predefined list of
    alternatives
  • Provides insight on what is perceived as most
    important

25
Types of Questions (cont.)
  • Partially Close-ended
  • Same as close-ended with unordered response but
    allows respondents freedom to identify important
    items that are overlooked

26
Numerical For real numbers, like age, number of
months, etc.
27
Patterning and Sequencing
  • Branching and skip options

28
Types of Samples
  • Probability
  • Purposive

29
Sample Size
  • How much error can be tolerated?
  • How large is the population?
  • How varied is the population?
  • How small is the smallest subgroup within the
    population that must be served?

30
Sample Size Rules of Thumb
31
Pretest Survey
  • Is each question getting the information it is
    intended to get?
  • Are all the words understood?
  • Are the questions interpreted the same by all
    respondents
  • Do all close-ended questions have an answer that
    applies to each respondent?
  • Does the questionnaire create a positive
    impression that motivates people to respond?
  • Are the questions answered correctly and in a way
    that can be understood
  • Are skip patterns followed correctly?
  • Does any part of the survey suggest bias on your
    part?

32
Types of Errors
  • Coverage Error
  • Sampling Error
  • Measurement Error- Timing and Bias
  • Nonresponse Error

33
Words of Wisdom
  • Do Not Ask
  • Open ended questions
  • Questions when you can derive answers from other
    sources
  • Something too precise
  • Something embarrassing
  • People directly about themselves
  • Multiple concepts in one question (double
    barrelled)
  • Leading questions

34
Words of Wisdom (cont.)
  • Start with easy questions
  • Go into the difficult ones
  • End easy
  • Group like concepts
  • Alternate loading

35
Words of Wisdom (cont.)
  • Group items on a questionnaire into logically
    coherent sections.
  • Each question should follow comfortably from the
    previous question.
  • Incentives have had mixed results.

36
Words of Wisdom (cont.)
  • There are good and bad questions. The qualities
    of a good question are as follows
  • Evokes the truth
  • Asks for an answer on only one dimension
  • Can accommodate all possible answers
  • Has mutually exclusive options
  • Produces variability of responses
  • Follows comfortably from the previous question
  • Does not presuppose a certain state of affairs

37
Words of Wisdom (cont.)
  • One of the most common mistaken assumptions is
    that the respondent knows the correct answer to
    the question.
  • It is important to look at each question and
    decide whether all respondents will be able to
    answer it.
  • If there is any possibility that the respondent
    may not know the answer to your question, include
    a Don't Know" response category.
  • Do not imply a desired answer.
  • Do not ask the respondent to order or rank a
    series of more than five items.
  • Do not use emotionally loaded or vaguely defined
    words.
  • Do not use unfamiliar words or abbreviations.
  • Use a glossary of key terms.

38
Words of Wisdom (cont.)
  • Avoid A clear mandate, most, numerous, a
    substantial majority, a minority of, a large
    proportion of, a significant number of, many, a
    considerable number of, and several.
  • Other adjectives produce less variability and
    generally have more shared meaning. These are
    Lots, almost all, virtually all, nearly all, a
    majority of, a consensus of, a small number of,
    not very many of, almost none, hardly any, a
    couple, and a few.

39
Words of Wisdom (cont.)
  • Keep things simple, concise, and cleargeneral
    guidelines include
  • Do not ask a question if the answer is obvious.
  • For example, How would no change in the cost of
    raw materials affect your production?
  • Avoid abbreviations and jargon.
  • If you must use them, clearly define them.
  • Ask yourself whether you need several questions
    or if you can get the information in one
    question.
  • Do not try to cram too much into one question.

40
Words of Wisdom (cont.)
  • Make your questions easy to understand.
  • Make sure your sample population understands
    them.
  • Consider whether respondents will have the
    information to answer your questions.
  • Is it readily available?
  • Will they know the answers?
  • Will they have to research?
  • Remember, if they have to look it up, they will
    probably skip the question or throw the survey
    out.

41
Words of Wisdom (cont.)
  • Consider whether respondents will willingly
    provide the information.
  • How personal is it?
  • In cases where you need to collect very personal
    information, repeat your policy on anonymity.
  • If you provide a list of answers, make sure all
    possible answers are present.
  • Even with Yes and No questions, it may be
    necessary to include a neutral Undecided or Do
    not Know.
  • Start a sequence with the question that is most
    comfortable to answer.
  • This focuses the respondent.

42
Words of Wisdom (cont.)
  • Do not mix I feel or I think questions with
    questions regarding facts.
  • Keep factual and perception questions in separate
    groupings.
  • Place sensitive demographic questions (such as
    age or income) at the end of the survey.

43
Considerations for Question Wording
  • Is the question relevant? Is it consistent with
    survey goals?
  • Does the question ask for need to know or nice
    to know information?
  • What will be the value of a response? If 95
    percent say, Yes, would this affect decision
    making?
  • Might the question elicit a vague answer? Make
    sure you ask directly for the information.
  • Will respondents be able to answer the question?
    Will they have the information?
  • Does the question lead to a particular response?
    (Is it a leading question?)

44
Considerations for Question Wording (cont.)
  • If a set of answers is provided, are all possible
    answers listed? Is one side of the issue
    represented more than another?
  • Does the question use negative phrases or words?
  • Are positive adjectives or phrases used?
  • If a scale is used for responses, is it balanced
    (for example, 1 to 5, with 3 being neutral)?
  • Might the question antagonize the respondent? Are
    dead giveaway words used, such as all,
    every, or always?
  • Are many demographic questions asked?
  • Is potentially offensive language used (for
    example, sexist or racist wordings)?
  • Is the question wordy?

45
Considerations for Question Wording (cont.)
  • Were ambiguous words used words with more than
    one meaning?
  • Is the question worded simply?
  • Are abbreviations used?
  • Does the question contain technical terms or
    jargon?
  • Have adjectives been quantified and/or clearly
    defined?
  • Does each question ask for one piece of
    information?
  • Have multiple negatives been used?
  • Does the question presume a previous situation or
    state of affairs?
  • If responses are provided, are they mutually
    exclusive?

46
Ethical Considerations
  • Politics, Politics, Politics!
  • Incentives versus coercive and offensive
  • Confidentiality
  • Anonymity
  • American Society for Information Systems

47
Best Practices
  • Understand and avoid the four kinds of errors.
  • Be specific about what new information you need
    and why.
  • Choose the survey method that works best.
  • Decide whether and how to sample.
  • Write good questions that will provide useful,
    accurate information.
  • Design and test a questionnaire that is easy and
    interesting to answer.

48
Best Practices (cont.)
  • Put together the necessary mix of people,
    equipment, and supplies to carry out your survey
    in the necessary time frame.
  • Code, computerize, and analyze the data from your
    questionnaires.
  • Present your results in a way that informs your
    audience, verbally or in writing.
  • Maintain perspective while putting your plans
    into action.

49
Best Practices (cont.)
  • Pretest questions before they go online.
  • Write an introduction for the survey which will
    bring cooperation from participants.
  • Use filtering questions and have questionnaires
    appropriate for filtered groups.
  • Divide long surveys into sections.
  • Use open-ended questions sparingly.
  • Use incentives to get people to respond.

50
For More Information
  • Maureen Brown
  • Phone (919) 479-8647
  • Email brown_at_iogmail.iog.unc.edu
  • http//www.surveymonkey.com/home.asp
  • http//info.zoomerang.com/
  • www.createsurvey.com
  • www.knowledgenetworks.com
  • www.harrisinteractive.com
  • Local Universities
  • Salant P. and Dillman D. How to Conduct Your Own
    Survey. New York, New York Wiley, 1994.
  • http//www.joe.org/joe/2003august/tt6.shtml
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