Questionnaires and Surveys

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Questionnaires and Surveys What are Questionnaires and Surveys? Structured set of questions delivered either: Orally Pen and paper Mail Online Not strictly qualitative - More structured than many qualitative techniques Not strictly quantitative - Can be less structured and more exploratory

Why learn about these? We ve seen enough examples, so what is the point? It is very easy to design BAD questionnaires and surveys Difficult to design a good survey How many terrible surveys have you seen? Junk mail and unwanted telephone calls What constitutes a bad survey? Fails to target or engage your intended audience Fails to answer the research questions you wanted to ask Characteristics of Surveys Characteris*c Systema(c Impar(al Representa(ve Theory- Based Quan(ta(ve Replicable Descrip*on The survey follows a specific set of rules; a formal and orderly logic of opera(ons. The survey selects units of the popula(on without prejudice or preference. The survey includes units that together are representa(ve of the problem under study and the popula(on affected by it. The survey s opera(ons are guided by relevant principles of human behavior and mathema(cal laws of probability and sta(s(cs. The survey assigns numerical values to non- numerical characteris(cs of human behavior in ways that permit uniform interpreta(on of these characteris(cs. Other people using the same methods in the same ways can get essen(ally the same results.

Focus Identify Research Objectives Less can sometimes be more What can you reasonably expect to learn with a survey? Are other techniques more appropriate? What has already been proven by others? How to triangulate? Target Population How many people are in the population we are studying? What are their jobs and responsibilities? What is the most common education level? What relevant experience do they possess? What is the age range of the population? Do we anticipate any difficulty with delivering a questionnaire: Via mail? Over internet? In person? What can we assume about their knowledge of the domain? How do they speak about the domain? Will they be motivated to complete the questionnaire?

Sampling What are our goals? Representative (probability) sample, or Every person has equal probability of participating Used to infer about whole population Idiosyncratic sample, or Self-selecting sample Convenience samples Problems with bias and generalizability Census Sample Sizes and Precision What are we hoping to accomplish? What are our tolerances for survey? Yamane 1967 For cells with * we cannot assume normal distribution Popula*on Precision Level Size ± 3% ± 5% ± 7% ± 10% 100 * 80 67 50 150 * 109 86 60 200 * 133 101 67 250 * 154 112 71 300 * 171 121 75 500 * 222 145 83 700 * 255 158 88 1,000 * 286 169 91 2,000 714 333 185 95 3,000 811 353 191 97 4,000 870 364 194 98 5,000 909 370 196 98 8,000 976 381 199 99 9,000 989 383 200 99 10,000 1,000 385 200 99 15,000 1,034 390 201 99 20,000 1,053 392 202 100 25,000 1,064 394 202 100 50,000 1,087 397 203 100 100,000 1,099 398 204 100 >100,000 1,111 400 204 100

Questionnaire Considerations Delivery method Paper Internet Phone Person Etc. How long should the questionnaire be? Structure and organization Questions Types of questions: Attributes Age, gender, education level, etc. Attitudes Personal outlook and orientation Beliefs Subjects assessments Behaviors

Question Properties Must be understandable to audience Must offer valid & meaningful answer options Must be relevant to subjects Must be open to quantitative analysis Construct validity Are we measuring what we think we are measuring? External validity Can the results be generalized to other people, places, or times? Question Guidelines Do not be vague. Use simple words. Keep it short. Be specific. Avoid bias. Do not be too specific. Avoid hypothetical questions.

Question Types Binary Likert scale Ordering Single/multiple selection Categories Open-ended questions Pitfalls Compound questions Ask one thing at a time Demanding questions Sensitive, or too specific Demanding/ambiguous language Biased language/leading questions Mutually exclusive options 0-3yrs, 3-5yrs

Survey Length Each question decreases participation by 0.5% Each page decreases participation by 5% Prioritize questions: 1. must know 2. useful to know 3. nice to know Discard group 3 unless groups 1 and 2 are very short. Ask demographic questions last Group questions by category/theme Golden rule of survey design Test it out Despite your best efforts, you will rarely get it right on the first try Better to get feedback before you ve wasted your own, and your subjects time.