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Types of Methodologies

Types of Methodologies. Surveys Part 2. Process. Determine the objectives Delimit the sample Construct the questionnaire Conduct the pilot study Establish the distribution process Analyze the data. 4. Conduct the Pilot Study. 1 st pilot – colleagues, peers

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Types of Methodologies

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  1. Types of Methodologies Surveys Part 2

  2. Process • Determine the objectives • Delimit the sample • Construct the questionnaire • Conduct the pilot study • Establish the distribution process • Analyze the data

  3. 4. Conduct the Pilot Study • 1st pilot – colleagues, peers • 2nd pilot – participants who are part of the intended population • What are we looking for?

  4. 4. Conduct the Pilot Study • Look for: • Questions that lack discrimination (answered the same by all) • Unexpected responses • May be poorly worded • Questions people don’t respond to • Instructions • Length of the survey • How easy/difficult it is to analyze

  5. Self-administered surveys Mail Group administration Internet E-mail Interviews Telephone Interview Personal Interview Group Interview Types of Surveys

  6. Response Rate by Method • 1. Web & mail • 2. Web • 3. E-mail • 4. Mail

  7. Mailed/Internet Survey Process • 1. Advanced letter/e-mail • 2. Survey • 3. Reminder card/message • 4. Final reminder card/message or end survey

  8. Survey Structure & Analysis • Each question structure implies a “scale of measurement” • Likert, semantic differential, etc. • Scales guide statistical analysis

  9. Scales of Measurement • Nominal Scales • Ordinal Scales • Interval Scales • Ratio Scales

  10. SOM- Nominal • Lowest level of measurement • Words & not # values….not a rating • Each value defines a distinct category • Needs to be coded for Excel/SPSS • Example….. • _____ (1) Male _____ (2) Female

  11. SOM - Nominal Data • Other examples 2. What was your favorite activity? (pick one) ___ Golf ___ Soccer ___Baseball ___ Golf (1) ___ Soccer(2) ___Baseball (3) 3. Have you attended this program previously? ___Yes ___No • Unordered close-ended

  12. SOM- Ordinal • Implied rank or order • Each category has a position higher than the previous • Distance between categories isn’t equal • Ie. 1st, 2nd and 3rd place • Example • AP Basketball poll

  13. SOM - Ordinal

  14. SOM - Interval • Ordered categories have meaningful size differences or distance between values • Distance between intervals is equal • Does not have a determined zero point • Distance makes sense, ratios don’t

  15. SOM - Interval • Calendar year • 2011 ---365 days ---2012 ----365 days ---2013 • Outdoor temperature • Thermometer – degree increments are equal • Is 0° as cold as it gets? • 100 degrees isn’t twice as hot as 50 • Meaningful size differences and equal distances (unlike ordinal) • Likert scales…

  16. SOM - Interval • Likert scales • Some believe ordinal • Categorical with order • Others believe interval • Ordered categories have meaningful size differences • What is the difference between strongly agree, and agree….and is that difference the same as the difference between agree and neutral?

  17. SOM - Interval • Likert scales • Argument for interval • If there is symmetry in the responses • SA/A/N/D/SD • E/G/F/P – not symmetrical, uneven distances between categories

  18. SOM - Ratio • Has a true zero point • Makes ratios possible • Has ordering & distancing properties of interval • Weight • 100 lbs. Is twice as heavy as 50 lbs. • Reaction time • Distance traveled: _____

  19. What is your current age? • Under 18 • 19-22 • 23-26 • 27 or older Scale of measurement? Why? Would you rephrase the question? Why? How we ask the question may limit us

  20. To summarize • Scales of measurement have range from the least precise to the most precise • Nominal Ordinal Interval Ratio

  21. Why do we care? • Determines what statistics are possible • Nominal is most limiting ; yes/no questions • 56% enjoyed the show, 44% did not • Why change YES/NO questions to Likert? • Degree of interest/opinions/attitudes • With ordinal, interval, and ratio we can compute averages and measure variability

  22. Developing a Codebook • Before entering data into computer • Instructions on converting data • Details how to define & label each variable • Assign #’s (codes) to responses • List every variable…including the ID #

  23. 2. What is your current grad school sequence? ______ Athletic Training ______ Biomechanics ______ Exercise Physiology ______ Physical Education Teacher Education ______ Psychology of Sport & Physical Activity ______ Recreation Administration ______ Sport management

  24. Developing a Codebook

  25. Developing a Codebook • Variable Name • Use something you recognize & link to the question • Sales staff • Gender • Level of satisfaction or level of agreement is likely not appropriate. SPECIFIC ENOUGH to identify.

  26. Developing a Codebook

  27. Developing a Codebook • Values • 1=strongly agree • 2=agree • 3=disagree • 4=strongly disagree • Values • 1=yes • 2=no • 1=male • 2=female

  28. Developing a Codebook

  29. Other info….more challenging • “All that apply” question • Rank questions • Open ended questions

  30. If this were the question?1. How did you hear about this program? (check all that apply) ___Flyer ___Pantagraph ___ Word of mouth ___Brochure ___Radio ___Other (specify):______

  31. Treat each option as a yes or no question (either checked/unchecked)?

  32. If this were the question?3. Rank each of the activities in order of preference (1=favorite, 3=least favorite) _____Bingo _____Yahtzee _____Twister

  33. Not to be confused with…. • What is the difference?

  34. If this were the question?3. Indicate your overall level of enjoyment at this event by circle the number….. No Enjoyment Enjoyed Whatsoever 1 2 3 4 5 6 A Great deal

  35. Semantic differentials example No Enjoyment Enjoyed Whatsoever 1 2 3 4 5 6 A Great deal

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