DDI Version 3 and Instrument Documentation Karl Dinkelmann Survey Research Center Institute for Social Research University of Michigan IASSIST Ann Arbor,

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DDI Version 3 and Instrument Documentation Karl Dinkelmann Survey Research Center Institute for Social Research University of Michigan IASSIST Ann Arbor, MI May , 2006

Acknowledgments & Participation DDI Instrument Documentation Workgroup –Cavan CappsCensus Bureau –Dan SmithUniversity of Minnesota –Ed RossOpenSurvey Project; Tripe-S –Gina-Qian Cheung 1 ISR, SRC, University of Michigan Karl Dinkelmann 1 ISR, SRC, University of Michigan Peter Sparks ISR, SRC, University of Michigan –Jeremy IversonUniversity of Wisconsin-Madison –John Ladds 1 Statistics Canada –Karsten Stephen –Lon HofmannStatistics Netherlands –Mari Kleemola 1 Finnish Social Science Data Archive –Peter Joftis 1 ICPSR –Tom Piazza 1,2 University of California, Berkeley –WSG: SRG 1, Reto Hardon 1, and many more behind the scenes 2 WG Facilitator 1 At IASSIST

Overview Background Motivation Proposal DDI V.3 instance Instrument Documentation (ID) home in DDI V.3 DDI:ID model Notable expansions Issues / omissions Next steps

DDI-ID: Background DDI-ID working group Feb 2005 ~ Present Weekly conference calls Have day jobs... Submitted DDI:ID proposal to SRG (10/2005) Currently reviewing DDI V.3 schema

DDI-ID: Motivation (summary) Extending DDI to encompass elements describing the CAI process. Machine-readable, Machine-processable, & Machine-actionable Develop a model allowing the flexibility to document as little or as much detail as one prefers. Added complexity means automating the process is key for complex instruments

DDI-ID: Proposal Addressed the following types of information : –Questions in a survey instrument –Structure, flow, and logic of an instrument –Relationship of instrument data to analysis data –Reasoning behind asking specific questions –Other metadata such as the methodology and process used to administer the instrument. –Derived/Constructed variables

DDI V.3 Instance

DDI V.3 Data Collection Instance

Data Collection Module Concepts Methodology –Data collection –Time methods –Sampling procedures –Deviations from the sample design Collection Events –Collector –Data source –Frequency of data collection –Mode of collection –Collection situation –Actions to minimize data loss Instrument –Questions (structured) –Instrument (structured) Processing –Control operations –Cleaning operations –Weighting –Data appraisal –Coding

DDI: Data Collection model

DDI:ID Detail Diagram

Notable Expansions: Question Sequence

Notable Expansions: Universe

Notable Expansions Notable Expansions

Notable Expansions (1)

Notable Expansions (2)

DDI:ID Issues, etc? Recursion & the ControlConstruct ? What have we left out? –Preload variables –Alien Procedures (calls to external routines) –Alien Routers (calls to external programs) –Associated paradata –Response ordering –Consistency checks –Display issues web surveys (example…) Others?

Experimental Designs in Web Surveys 1

Next Steps... Document schema Create examples Proof of concept Where do all of you come? –Public release (of draft)... –Offer feedback –Your opinion will influence the final version of DDI V.3! Expand Data Collection module to include other aspects earlier in the lifecycle (new work group?)

Contact Questions, comments, concerns please Thank-you !