Presentation is loading. Please wait.

Presentation is loading. Please wait.

Dr. Michael R. Hyman, NMSU Methods for Collecting Survey Data.

Similar presentations


Presentation on theme: "Dr. Michael R. Hyman, NMSU Methods for Collecting Survey Data."— Presentation transcript:

1 Dr. Michael R. Hyman, NMSU Methods for Collecting Survey Data

2 2 There is no best form of survey; each has advantages and disadvantages

3 3 Communicating with Respondents Personal interviews –Door-to-door –Shopping mall intercepts Telephone interviews Self-administered questionnaires –Mail –Internet (Web and e-mail)

4 4 Factors to Consider When Choosing a Collection Method Available budget How quickly data needed Complexity/structure/length of questionnaire Need for stimuli exposure Sampling precision Quality of data Respondent interest in topic Ease of obtaining respondent cooperation Incidence rate

5 5 Personal Interviews

6 6 Door-to-Door Interviews Speed of data collection –Moderate to fast Geographical flexibility –Limited to moderate Respondent cooperation –Excellent Versatility of questioning –Quite versatile

7 7 Door-to-Door Interviews Questionnaire length –Long Item non-response –Low Possibility of respondent misunderstanding –Lowest

8 8 Door-to-Door Interviews Degree of interviewer influence of answer –High Supervision of interviewers –Moderate Anonymity of respondent –Low

9 9 Door-to-Door Interviews Ease of call back or follow-up –Difficult Cost –Highest Special features –Visual materials may be shown or demonstrated; extended probing possible

10 10 Mall Intercept Interviews Speed of data collection –Fast Geographical flexibility –Confined, urban bias Respondent cooperation –Moderate to low –Versatility of questioning Extremely versatile

11 11 Mall Intercept Interviews Speed of data collection –Fast Geographical flexibility –Confined, urban bias Respondent cooperation –Moderate to low –Versatility of questioning –Extremely versatile

12 12 Mall Intercept Interviews Questionnaire length –Moderate to long Item non-response –Medium Possibility of respondent misunderstanding –Lowest

13 13 Mall Intercept Interviews Degree of interviewer influence of answers –Highest Supervision of interviewers –Moderate to high Anonymity of respondent – Low

14 14 Mall Intercept Interviews Ease of call back or follow-up –Difficult Cost –Moderate to high Special features –Taste test, viewing of TV commercials possible

15 15 Telephone Surveys Central location interviewing Computer-assisted telephone interviewing Computerized voice- activated interviews

16 16 Telephone Surveys Speed of data collection –Very fast Geographical flexibility –High Respondent cooperation –Good Versatility of questioning –Moderate

17 17 Telephone Surveys Questionnaire length –Moderate Item non-response –Medium Possibility of misunderstanding –Average Degree of interviewer influence of answer –Moderate

18 18 Telephone Surveys Supervision of interviewers –High, especially with central location WATS interviewing Anonymity of respondent –Moderate Ease of call back or follow-up –Easy

19 19 Telephone Surveys Cost –Low to moderate Special features –Fieldwork and supervision of data collection are simplified; quite adaptable to computer technology

20 20 Hearing the Voice of the Customer (Literally): How to Use Sound Recordings in Surveys to Listen to the Actual Voice of the Customer Source: AMA Best Practice Webcasts Sponsored by: Maritz Research Webcast date: May 10, 2005 Time: 54 minutes Presenter: Dave Harwood, VP, Information Technology, Maritz Research Click here for free webcast Click here for free webcast (you’ll need to register on the AMA site)

21 21

22 22 Mail Surveys One Shot Mail Panel

23 23 Mail Surveys Speed of data collection –Researcher has no control over return of questionnaire; slow Geographical flexibility –High Respondent cooperation –Moderate--poorly designed questionnaire will have low response rate

24 24 Mail Surveys Versatility of questioning –Highly standardized format Questionnaire length –Varies depending on incentive Item non-response –High

25 25 Mail Surveys Possibility of respondent misunderstanding –Highest--no interviewer present for clarification Degree of interviewer influence of answer –None--interviewer absent Supervision of interviewers –Not applicable

26 26 Mail Surveys Anonymity of respondent –High Ease of call back or follow-up –Easy, but takes time Cost –Lowest

27 27 Internet Surveys Self-administered questionnaire posted on a Web site Respondents provide answers to questions displayed online by highlighting a phrase, clicking an icon, or keying in an answer

28 28

29 29 Internet Surveys Speed of data collection –Instantaneous Cost effective Geographic flexibility –Worldwide Visual and interactive

30 30 Internet Surveys Versatility of questioning –Extremely versatile Questionnaire length –Individualized base on respondent answers –Longer questionnaires with panel samples Item non-response –Software can assure none

31 31 Internet Surveys Possibility for respondent misunderstanding –High Interviewer influence of answers –None Supervision of interviewers not required

32 32 Internet Surveys Anonymity of Respondent –Respondent can be anonymous or known Ease of Callback or Follow-up –Difficult unless e-mail address is known Special Features –Allows graphics and streaming media

33 33 Internet Surveys: Sample Representativeness Subject to self-selection bias Some people without Internet access Some people lack powerful PCs with high-speed Internet connections Some respondents relatively unsophisticated computer users When opt-in not used, cooperation is low

34 34 E-Mail Surveys Speed of data collection –Instantaneous Geographic flexibility –Worldwide Cheaper distribution and processing costs

35 35 E-Mail Surveys Flexible, but –Extensive differences in capabilities of respondents’ PCs and e-mail software limit types of questions and layouts E-mails are not secure and “eavesdropping” can possibly occur Respondent cooperation –Varies if e-mail is seen as “spam”

36 36 Best Practices for Online Survey Design Source: AMA Best Practice Webcasts Sponsored by: Insight Express Webcast Date: August 19, 2004 Time: 57 minutes Presenters: Lee Smith, President and COO, InsightExpress Doug Adams, Director of Marketing, InsightExpress Click here for free webcast Click here for free webcast (you’ll need to register on the AMA site)

37 37 How New Technologies for Online Research Can Improve Results Source: AMA Best Practice Webcasts Sponsored by: SPSS Webcast Date: June 22, 2004 Time: 46 minutes Presenters: Dan Coates, VP, SPSS Inc. Click here for free webcast Click here for free webcast (you’ll need to register on the AMA site)

38 38 From Back Office to Boardroom: Using Online Research to Drive Mktg Decisions Source: AMA Best Practice Webcasts Sponsored by: Insight Express Webcast Date: November 4, 2004 Time: 51 minutes Presenters: Doug Adams, Director of Marketing, InsightExpress Kurt Anderson, Associate Director--Market Research, SBC Clive de Freitas, VP/Senior Brand Planner, Arnold Worldwide Jen Silverstein, Sr. Market Research Analyst, Adobe Systems Click here for free webcast Click here for free webcast (you’ll need to register on the AMA site)

39 39 Summaries of Relative Advantages of Disadvantages of Different Data Collection Methods

40 40

41 41

42 42

43 43

44 44


Download ppt "Dr. Michael R. Hyman, NMSU Methods for Collecting Survey Data."

Similar presentations


Ads by Google