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The Use of Structured Survey Instrument Metadata throughout the Data Lifecycle

The Use of Structured Survey Instrument Metadata throughout the Data Lifecycle. Sue Ellen Hansen Institute for Social Research University of Michigan ESRA 2011. Presentation Outline. Data Lifecycle Survey Lifecycle MQDS Moving through the data lifecycle Study example.

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The Use of Structured Survey Instrument Metadata throughout the Data Lifecycle

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  1. 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) http://www.ddialliance.org/

  4. Survey Lifecycle (CCSG) http://ccsg.isr.umich.edu/

  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 V3Relational Database

  8. Using MQDS across the Data Lifecycle MQDS

  9. From Concepts toInstrument 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) http://www.icpsr.umich.edu/icpsrweb/CPES/

  16. CPES • Programming and data collection • 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 • ~ 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 http://www.icpsr.umich.edu/icpsrweb/CPES/

  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 http://www.ddialliance.org/ http://www.icpsr.umich.edu/icpsrweb/CPES/ http://ccsg.isr.umich.edu/ http://www.blaise.com/Tools

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