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Questionnaire Design 2012

Jun 02, 2018

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    Research Ski l ls One

    Oh, no!Please, no!

    Not statistics!!

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    A ims o f the two f i rst year Research Ski lls

    courses:

    Basic gro und ing in research sk i l ls -

    designing q uest ionnai res and exper iments

    data analysis us ing stat ist ics, Excel and SPSS

    wri t ing up stud ies using s tandard presentat ion convent ions

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    Comparison of RM1 exam marks for 2004-2008

    0

    5

    10

    15

    20

    25

    30

    35

    40

    0-10 11-20 21-30 31-40 41-50 51-60 61-70 71-80 81-90 91-100

    exam mark

    frequency(%)

    2004 (N = 249)

    2005 (N = 246)2006 (N = 243)

    2007 (N = 214)

    2008 (N = 234)

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    Outl ine of this c ou rse (Research Ski l ls One):

    Issues in designing questionnaires and experiments.

    Descriptive statistics - effective summarising of data.

    Statistical tests (correlation, Chi-Square, nonparametric tests for

    comparing groups or conditions).

    Using SPSS("Statistical Package for the Social Sciences") for data

    analysis and Excelfor producing graphs and tables.

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    Research Ski l ls Two:

    More statistical theory.

    More statistical tests.

    Practice at running experiments and writing them up.

    Ethics.

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    Organisat ion for th is cou rse:

    One lecture and one practical session every week.

    (Lectures: Thursdays at 1pm in Chichester Lecture Theatre

    until week 12December 6th).

    Practical sessions - details on Sussex Direct (you are split into

    lots of smaller groups).

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    Course requi rements:

    Assessment is by a mixture of coursework and

    exam:

    Coursework

    SONA research participation (4 hours this term): 10%

    Lab-report 1 10%

    Lab-report 2 20%

    Exam -

    Unseen exam (in winter assessment period): 60%

    Overal lpass mark (exam and coursework combined): 40%

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    This term's requi rements:

    1. Write a lab-report based on a questionnaire from the STARS fast

    food project (10%).

    2. Write a lab-report based on a questionnaire on maths learning

    experiences (20%).

    3. Tackle the weekly statistics problem sheets (not marked, but

    essential practice).

    4. Four hours of research participation (10%).

    5. Unseen 2-hour exam at the end of the course

    statistical concepts (multiple choice questions);

    deciding which statistical test is most appropriate;

    interpreting statistical output from SPSS.

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    Recommended textbook s:

    Field and Hole (2003). Sage publications.

    Palgrave, 2006

    Sage, 2006

    BUY THIS ONE, I NEED THE MONEY !!!!!

    http://www.amazon.co.uk/gp/product/images/0230362729/ref=dp_image_z_0?ie=UTF8&n=266239&s=bookshttp://www.amazon.co.uk/gp/product/images/0230362729/ref=dp_image_z_0?ie=UTF8&n=266239&s=books
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    Perm it ted calculators:

    Casio FX82, 83, 85, 115, 570 or 991, all with any suffix.

    No oth er type of calculator is acceptable.

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    Course documentat ion, hando uts, lecture sl ides:

    Go to Sussex Direct - this course is

    Research Skills One (C8511)

    OR

    Type Graham Hole into Google

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    Click on

    this link

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    Everything

    you need to

    know for this

    course

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    Who to con tact :

    In the first instance, the course tutors running your practical

    session.

    Graham Hole ([email protected])

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    Quest ionnaire design :

    Perhaps now you'll fill in

    my questionnaire?

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    How does the way you collect data affect the datacollected?

    How does question wording affect peoples answers?

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    Stages in quest ionnaire design :

    5. Adm inister the quest ion naire, after i t has b een revisedin th e l igh t o f (4).

    1. Formulate the research quest ion(s) clearly.

    2. Ident i fy the popu lation and samp le.

    3. Design the quest ionnai re: th ink about quest ion

    wo rding ; quest ionn aire formatt ing; mode ofadm inistrat ion ; data analysis.

    4. Pre-test the questionnaire.

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    Samples and popu lat ions:

    Sample: a subset f rom a

    po pu lat ion (e.g. f irs t-year

    psy cho logy students).

    Populat ion:a complete set

    of th ing s (e.g. al l of

    humanity).

    For val id inferences to be made abou t a populat ion 's

    characterist ics, a sample mu st be representat ive of i ts

    paren t pop ulat ion (e.g. sim ilar in age, SES, IQ, etc.)

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    Methods of obtain ing quest ionnaire data:

    Postal

    questionnaire

    Personal

    interview

    Phone

    interview

    Internet

    questionnaire

    Cost Low High Moderate Low

    Data quality:

    Respo nse r ate

    Respondent

    mot ivat ion

    Interviewer bias

    Low

    Low

    None

    High

    High

    Moderate

    Moderate

    High

    Low

    Low

    Low

    None

    Sample quality: Low, unless

    high responserate

    High Moderate to

    high,especially

    with random

    digit dialling

    Moderate, but

    improving asInternet access

    widens

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    Postal

    Questionnaire

    Personal

    interview

    Phone

    interview

    Internet

    questionnairePossible interview

    length:

    Short Very long Long Short

    Ability to clarify

    and probe:

    None High High None

    Anonymity: High Low Low Low

    Dependence on

    respondents

    literacy:

    High None None High

    Control of context

    and questionorder:

    None High High Depends

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    Quest ionnaire wording :

    1. Should be exact.

    2. Should be simple.

    3. Avoid biased or emotive words.

    Schuman and Presser (1981): subtle changes of wording

    may influence responses.

    e.g. Should the Governmentallow publ ic speeches by a

    Communis t? produced 25% fewer pro-free-speech

    responses when allowwas replaced with forb id .

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    4. Make all alternatives clear.

    e.g. Payne (1951): "Do you th ink most manufactur ing

    com panies that lay of f wo rkers dur ing slack per iods cou ldarrange thing s to avoid layof fs and give steady work

    througho ut the year?"

    63% - companies could avoid layoffs.

    22% - couldnt avoid layoffs.

    15% - no opinion.

    Same question plus phrase "or do you think layof fs are

    unavoidable?"

    35% - companies could avoid layoffs.

    41% - couldnt avoid layoffs.

    24% - no opinion.

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    5. Avoid the format: "Some people say x: do y ou agree ordisagree?"

    6. Avoid unwarranted assumptions. e.g. "What is youroccupation?" assumes person has a job.

    7. Avoid double-barrelled questions. e.g. "Should immigrants

    be repatriated and their possessions confiscated?" is twoquestions.

    8. Avoid double negatives. e.g. "Are you against a ban onsmoking?"

    9 C id h l i i f d

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    9. Consider the relative merits of open-endedand

    closed-endedquestions.

    Open-ended:allow unconstrained responses.

    e.g. "How do you travel to the Univers i ty?".

    May produce richly detailed responses, but hard and tediousto score.

    Closed-ended:require choice from a limited range ofalternatives.

    e.g. "Do you travel to the Univers i ty by

    (a) bu s, (b) car, or (c) un icy cle (t ick one)".

    Easy to code, but prone to bias.

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    Closed-ended questions must have

    (a) a balanced response scale;

    (b) mutually exclusive categories;

    (c) facilities for handling "don't know" and "other"

    responses.

    R ti l

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    Rating scales:

    The Likert Scale:

    "Criminals should be flogged".Strongly agree Agree Neither agree

    nor disagree

    Disagree Strongly disagree

    1 2 3 4 5

    Can be 5-. 7- or 9-point scale (doesn't make muchdifference).

    Visual Analogue Scale:

    Strongly agree Strongly disagree

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    Prob lems w i th quest ionnai res abou tatt i tudes:

    1. May not have an attitude - "doorstep opinions".

    2. Attitudes may be complex and multi-dimensional.

    3. Attitudes vary in intensity.

    4. Expressed attitudes may depend on question wording,

    sequence and interviewer effects.

    Prob lems w i th quest ionnaires abou t

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    Prob lems w i th quest ionnaires abou tbehaviour:

    1. Memory l imi tat ions-

    e.g. Chapman and Underwood's (2000) study of drivers' memory for accidents

    and near-misses.

    Can be counteracted by

    (a) asking specific questions;

    (b) asking for birth date rather than age;

    (c) using a chronological format;

    (d) re-interviewing.

    2. Response biasesdue to social desirability or suspicion,

    especially for illegal or anti-social activities.

    Can be counteracted by ensuring anonymity.

    What are the prob lems w i th these quest ions?

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    5. Do your children prefer to eat in KFC or Macdonalds?

    1. Do you visit fast food emporia regularly?

    Over-complex wording. Exactly what does "regularly" mean?

    2. How many burgers do you eat per month?

    Assumes you eat burgers.

    3. Some people suggest that fast food is leading to increased tooth decay and an

    increase in obesity amongst teenagers in many parts of the U.K. Do you agree?

    Over-long. Includes two separate questions. Implies you should agree with the viewsexpressed.

    4. Which of the following methods do you use to travel to your fast-

    food outlet? (a) Bus (b) Car (c) Bicycle

    Does the questioner want you to choose only one option, or can you

    choose more? No option for responding "other" .

    What are the prob lems w i th these quest ions?

    Assumes you have children.

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    Conclus ions:

    It's hard to design questionnaires properly!

    Always be sceptical of survey results -ask yourself

    Who were they collected by?

    Who were they collected from?

    How were the questions worded, exactly?

    Remember - 8 out of 10 cats prefer Whiskas" has

    become "In tests, 8 out of 10 cats who expressed apreference, preferred Whiskas".

    Useful references:

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    Useful references:

    Burgess, T.F. (2001). A general int roduct ion to the design of q uest ionnaires

    for su rvey research.

    http://iss.leeds.ac.uk/info/312/surveys/217/guide_to_the_design_of_questionnaires

    Taylor-Powell, E. (1998). Quest ionnaire design: asking quest ions w ith a

    purpose.http://learningstore.uwex.edu/pdf/G3658-02.pdf