1. Institute for Social Research University of Michigan
The Use of Structured Survey Instrument Metadata throughout the Data Lifecycle
Sue Ellen Hansen
Institute for Social Research
University of Michigan
ESRA 2011

2. Presentation Outline Data Lifecycle Survey Lifecycle MQDS
Moving through the data lifecycle
Study example

3. Data Lifecycle (DDI)

4. Survey Lifecycle (CCSG)

5. MQDS Michigan Questionnaire Documentation System
Documents Blaise™ survey instruments and datasets
Produces relational and eXtended Markup Language (XML) question-level metadata that meet the Data Documentation Initiative (DDI) metadata standard
Now available to licensed Blaise ™ users

6. MQDS Version 3 Relational database DDI compliant standardized tables
Flexibility to add extensions that meet client and organizational needs
Allows
Automated documentation of any Blaise survey instrument
Importing and documenting data produced by other software (e.g., SAS)
Lower cost development of other tools that facilitate editing and disseminating data

7. MQDS V3 Relational Database

8. Using MQDS across the Data Lifecycle

9. From Concepts to Instrument Specifications
Concepts → Constructs → Indicators → Measures
Questionnaire design
Focus groups, cognitive interviews, etc.
Questionnaire
Instrument design
Instrument specifications → programming & screen layout → MQDS documentation (instrument and codebook)

10. Instrument Specifications

11. Blaise™ Programming

12. Blaise™ Screen

13. MQDS Instrument Documentation

14. Using MQDS across the Data Lifecycle
Check programming against instrument specifications
Compare versions of instruments
Test programmed instruments
Document preliminary datasets
Document cleaned datasets
Harmonize data
Disseminate data for public use data

15. Study Example Collaborative Psychiatric Epidemiological Surveys (CPES)
National Comorbidity Survey Replication (NCS-R)
National Survey of American Life (NSAL)
National Latino and Asian American Study (NLAAS) – 5 languages
U.S. National Institute of Mental Health (NIMH)

16. CPES Programming and data collection Harmonization project
Survey Research Operations (SRO), Survey Research Center, (SRC), Institute for Social Research (ISR)
Harmonization project
SRO and the Inter-University Consortium for Political and Social Research (ICSPR), ISR
Facilitated by MQDS standardized structured XML metadata for all three CPES surveys

17. CPES Harmonization Project
Primary goals:
Harmonize and merge CPES datasets
Prepare codebooks and data for on-line analysis
Develop Website
Disseminate for public use

18. The Data ~ 6,000 variables ~ 20,000 Respondents
NCS-R: 9,282 adults
NSAL: 6,199 adults
3,570 African American
1623 Afro-Caribbean
891 non-Latino White
NLAAS: 4,864 adults
1095 Asian
2,554 Latino
215 non-Latino, non-Asian White
~ 6,000 variables
from 9,000 before harmonization and disclosure analysis

19. Process for Creating CPES XML

20. Process Repeated for NCS-R NSAL NLAAS NLAAS English NLAAS Spanish
NLAAS Tagolog
NLAAS Vietnamese
NLAAS Chinese

21. CPES Website Development and Data Dissemination

22. CPES Interactive Codebook

23. CPES Interactive Codebook

24. CPES Interactive Codebook

25. CPES Interactive Codebook

26. Summary
MQDS

27. Questions? Data Documentation Initiative CPES
Cross-Cultural Survey Guidelines
MQDS