The document outlines the objectives and content of a survey design workshop. It discusses key topics like questionnaire design, levels of measurement, sampling, and implementation issues. The workshop aims to help participants understand rigorous survey planning, common survey methods, questionnaire design best practices, and critically reviewing example surveys.
1. Survey Design Workshop Inter-University Research Workshop Program Dr. James Neill Centre for Applied Psychology University of Canberra 1 February, 2011
42. Since the 1980's, theories and principles evolved to create a unified perspective on the design, conduct, and evaluation of surveys.
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44. Impartial : selects units of the population without prejudice or preference
45. Representative : includes units that together are representative of the problem under study and the population affected by it
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47. Quantitative : assigns numerical values to nonnumerical character
48. Self-monitoring : procedures can be designed in ways that reveal any unplanned and unwanted distortions (biases) that may occur 8 Survey Research Characteristics Backstrom & Hursh-C é sar (1981, pp. 3-4)
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50. Replicable : other people using the same methods in the same ways can get essentially the same results 8 Survey Research Characteristics Backstrom & Hursh-C é sar (1981, pp. 3-4)
61. The research process 1. Establish need for info/ research 2. Problem definition/ Hypotheses 3. Research design 4. Sampling/ Data collection 5. Data analysis 6. Reporting
72. A way of converting fuzzy psychological stuff into hard data for analysis What is a survey?
73. Types of surveys Types of surveys Self - administered Interview - administered Postal Delivered and collected Telephone Face to face structured interview Web-based
74. Questionnaire development 1. Formulate generic questionnaire 2. Expand the questionnaire Turn into separate sections based on study objectives. Draft qs & response formats 4. Finalise questionnaire & implement Question order & funnel qs 3. Pre-test, pilot test, & redraft
129. Writing questions – Don'ts Inapplicable – must apply to all respondents Over-demanding – e.g., recall of detail or time-consuming, unnecessary questioning Ambiguous – meaning must be clear to all respondents Double negative – e.g., Do you not disapprove of tax reforms?
130. Writing questions – Don'ts Double-barrelled - e.g., “Do you think speed limits should be lowered for cars & trucks?” Leading - e.g., “don’t you see some danger in the new policy?” Loaded – e.g., “Do you advocate a lower speed limit to save human lives?” vs “Does traffic safety require a lower speed limit?”
144. Can't be accurately answered by an observer. e.g., Think about the visits you made to a G.P. during 2010. How well did you understand the medical advice you received? perfectly very well reasonably poorly not at all
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146. One criticism of this distinction: There is no such thing as “objective” and that all responses are subjective.
155. Open-ended questions: Examples What are the main issues you are currently facing in your life? How many hours did you spend doing university study last week? _________
171. Ordinal / ranked example: Ranked importance Rank the following aspects of the university according to what is most important to you (1 = most important through to 5 = least important) Quality of the teaching and education Quality of the social life Quality of the campus Quality of the administration Quality of the university's reputation
178. Why do levels of measurement matter? Different analytical procedures are used for different levels of data. More powerful statistics can be applied to higher levels
179. Levels of measurement: Revision question Fill in all cells Descriptive Statistics Ratio Interval Ordinal / Rank Nominal / Categorical Graphs Examples Prop-erties Level
189. Dichotomous 2 response options e.g., Excluding this trip, have you visited Canberra in the previous five years? __ Yes __ No Provides the simplest type of quantification
190. Multichotomous How many hours did you spend doing university study last week? __ less than 5 hours __ > 5 to 10 hours __ > 10 to 20 hours __ more than 20 hours
191. Multichotomous More than two possible answers e.g., What type of attractions in your current trip to Canberra most appeal to you? __ historic buildings __ museum/art galleries __ parks and gardens
192. Verbal frequency scale Over the past month, how often have you argued with your intimate partner? 1. All the time 2. Fairly often 3. Occasionally 4. Never 5. Doesn’t apply to me at the moment
193. The list (multiple response) Provides a list of answers for respondents to choose from e.g., Tick any words or phrases that describe your perception of Canberra as a travel destination: __ Exciting __ Important __ Boring __ Enjoyable __ Interesting __ Historical
194. The list (multiple-response) What are the main issues that you are currently facing in your life? (tick all that apply) __ financial __ physical / health __ academic __ employment / unemployment __ relationships __ other (please specify)
195. Ranking Helps to measure the relative importance of several items Rank the importance of these reasons for visiting Canberra (from 1 (most) to 4 (least)): __ to visit friends and relatives __ for business __ for educational purposes __ for holiday/ sightseeing
196. Likert scale Measures strength of feeling or perception. Indicate your degree of agreement with this statement: “ I am an adventurous person.” (circle the best response for you) 1 2 3 4 5 strongly disagree neutral agree strongly disagree agree 1 2 3 4 5 strongly agree neutral disagree strongly agree disagree
197. Graphical rating scale How would you rate your enjoyment of the movie you just saw? Mark with a cross (X) not enjoyable very enjoyable
198. What is your view of smoking? Tick to show your opinion. Bad ___:___:___:___:___:___:___ Good Strong ___:___:___:___:___:___:___ Weak Masculine ___:___:___:___:___:___:___ Feminine Unattractive ___:___:___:___:___:___:___ Attractive Passive ___:___:___:___:___:___:___ Active Semantic differential
199. Non-verbal scale Point to the face that shows how you feel about what happened to the toy. Also called an idiographic scale .
200. Verbal frequency scale Over the past month, how often have you argued with your intimate partner? 1. All the time 2. Fairly often 3. Occasionally 4. Never 5. Doesn’t apply to me at the moment
205. Maximum = 10? Basic guide: 7 +/- 2 Number of response options?
206. AGREEMENT ABOUT SOMETHING 2-Categories DISAGREE AGREE 3-Categories DISAGREE NEUTRAL AGREE 4-Categories STRONGLY MILDLY MILDLY STRONGLY DISAGREE DISAGREE AGREE AGREE 5-Categories STRONGLY MILDLY MILDLY STRONGLY DISAGREE DISAGREE NEUTRAL AGREE AGREE Number of response options? Likert scale example
207. Watch out for too many or too few response options “ Capital punishment should be reintroduced for serious crimes ” 1 = Agree 2 = Disagree 1 = Very, Very Strongly Agree 7 = Slightly Disagree 2 = Very Strongly Agree 8 = Disagree 3 = Strongly Agree 9 = Strongly Disagree 4 = Agree 10 = V. Strongly Disagree 5 = Slightly Agree 11 = V, V Strongly Disagree 6 = Neutral
208. Example: How could this question be improved? How old are you? ___ 18-20 ___ 20-22 ___ 22-30 ___ 30 and over
209. Are you satisfied with your marriage and your job? __________________________ Example: How could this question be improved?
210. You didn’t think the food was very good, did you? _____ Yes _____ No Example: How could this question be improved?
211. Environmental issues have become increasingly important in choosing hotels. Are environmental considerations an important factor when deciding on your choice of hotel accommodation? ____ Yes ____ No Example: How could this question be improved?
212. What information sources did you use to locate your restaurant for today’s meal? (please tick appropriate spaces) ____ yellow pages ____ Internet ____ word of mouth Example: How could this question be improved?
213. Comparison of data collection methods Alreck & Settle (1995; 32) Alreck and Settle (1995:32)
250. What is sampling? “Sampling is the process of selecting units (e.g., people, organizations) from a population of interest so that by studying the sample we may fairly generalize our results back to the population from which they were chosen.” - Trochim (2006)
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252. If the sample is representative, the sample data allows inferences to be drawn about the total population.
256. Response rate – both the % & representativeness of people in sample who actually complete survey It is better to have a small, representative sample than a large, unrepresentative sample.
288. e.g., in studying ecstasy users, gain trust of a few potential respondents and ask them to recommend the researcher to other potential respondents
309. Some of the critical comments.... She goes in with prejudice & comes out with a statistic. The survey often seems merely to provide an occasion for the author’s own male-bashing diatribes. Hite uses statistics to bolster her opinion that American women are justifiably fed up with American men.
312. “ We get pretty nervous if respondents in our survey go under 70%. Respondents to surveys differ from nonrespondents in one important way: they go to the trouble of filling out what in this case was a very long, complicated, and personal questionnaire.” - Regina Herzog, University of Michigan Institute for Social Research Hite's response rate & selection bias
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314. Objectivity – watch out for manipulating the survey questions and results interpretation to suit your personal conjectures Lessons from Hite's male-female relations survey
317. Sources of measurement error Non-sampling (e.g., unreliable or invalid tests) Sampling (e.g., non-rep. sample) Personal bias (e.g., researcher favours a hypothesis) Paradigm (e.g., Western focus on individualism)
Survey Design Workshop University of Canberra, ACT, Australia James T. Neill This workshop was previously presented by Dr. Brent Ritchi e – he kindly gave me a copy of his slides, which have been adapted and expanded. Image sources: Questionnaires are by James Neill (License: Public domain) Scissors are by Gracenotes - http://commons.wikimedia.org/wiki/File:Edit-cut-mod.svg - (License: - Creative Commons by SA 2.5) Further info: http://en.wikiversity.org/wiki/Survey_design/Workshop