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Qualtrics for data collection

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Presentation on theme: "Qualtrics for data collection"— Presentation transcript:

1 Qualtrics for data collection
Nathan R. Jones, PhD Senior Project Director University of Wisconsin Survey Center

2 Goals of the Course Day 1 Overview of survey research concepts, principles, and terminology Qualtrics orientation to introduce workflow from questionnaire design to final data

3 Goals of the Course Day 2 – Apr 14, 2-4p
General tips for questionnaire design Orientation to Qualtrics tools for writing and formatting survey questions

4 Goals of the Course Day 3 – Apr 19, 10a-12p
Advice on fielding and managing surveys Qualtrics tools for launching surveys and keeping track of sample members

5 Why do you want to do a survey?

6 So, we’re doing surveys…
Principal parts of a survey Mode Instrument Respondents

7 Examples Typical Qualtrics links look like this: Follow along!
Follow along!

8 What is a GOOD survey?

9 What is a GOOD questionnaire?
Achieve your study goals Collect the data you need to answer your question(s) Allow sufficiently complex analysis Do not reinvent the wheel Great questions, indices, tools already exist Plan for external comparison unless you have a great reason to innovate Low burden Ask questions that are easy to answer Do not waste time

10 To describe a population
Why do a survey? To describe a population Census Probability sample Standardized interview schedule To test for changes or effects Case-control studies Clinical trials May use multiple modes

11 Why can’t we just talk to people?
Probability sample Why can’t we just talk to people?

12 Probability sample Identify the population of interest. Obtain a list of members of the population. (This list is called the sample frame) Select units so that all units have a known probability of selection that is greater than 0.

13 Principal parts of a survey
Study Design Sample Design Mode of administration Instrument development Pretesting, testing, IRB Data collection Data preparation - weighting, processing, delivery Documentation Analysis Budget

14 A Survey From a Process Perspective
(Groves et al. 2004)

15 Other than surveys….? With some creativity, Qualtrics can be used for other purposes. data entry training quality control evaluation market research pre/post-event feedback and other uses with some creativity

16 Other than surveys….? With some creativity, Qualtrics can be used for other purposes. data entry

17 Other than surveys….? Never / Sometimes / Often / Always
With some creativity, Qualtrics can be used for other purposes. data entry Never / Sometimes / Often / Always

18 Respondent interaction
How many times will you collect data? Once Cross-sectional Sample population at single point in time Many times Trend – Repeated cross-sections Cohort – Follow a group over time Panel – Follow several groups over time

19 Pre-Testing, Testing, IRB
Develop standardized questions Pre-test candidate questions Test entire instrument Obtain permission to conduct survey Keep records and documentation!

20 Field Procedures Initial contact and obtaining cooperation Incentives
Training interviewers Follow-up procedures after survey Supervision and reporting Re-contacting methods for longitudinal studies Procedures for protecting respondents

21 You can use your data! And finally…
But do not forget final documentation Sampling procedures, special cases Instrument bugs Field procedures, decisions, and materials Coding, decisions, and special cases Data cleaning Weighting

22 Qualtrics workflow Create survey Draft and revise instrument
Activate survey Upload contact information Draft survey invitations Send initial Check progress Draft reminder s Send reminder s Download data and summary reports

23 Qualtrics interface

24 Switch to Qualtrics

25 A Survey From a Process Perspective
(Groves et al. 2004)

26 Questions?

27 Senior Project Director
Thank you! Nathan R. Jones Senior Project Director University of Wisconsin Survey Center


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