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Fitting a survey life cycle in the DDI

Fitting a survey life cycle in the DDI. Irene Wong Chuck Humphrey. IASSIST Edinburgh May 2005. Disclaimer. The research and analysis are based on data from Statistics Canada and the opinions expressed do not represent the views of Statistics Canada. Project partnerships.

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Fitting a survey life cycle in the DDI

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  1. Fitting a survey life cycle in the DDI Irene Wong Chuck Humphrey IASSIST Edinburgh May 2005

  2. Disclaimer The research and analysis are based on data from Statistics Canada and the opinions expressed do not represent the views of Statistics Canada.

  3. Project partnerships • A pilot study was initiated in summer 2004 • Involving: • 3 RDCs: Edmonton, Calgary, Hamilton • General Social Survey (GSS) Programs • Standards Division • GSS cycle 17 - Social Engagement confidential data file

  4. Project outline • Creating DDI documentation for the confidential data of GSS Cycle 17 • Assessing the information sources needed to complete this task • Evaluating the use of DDI documentation by researchers in an RDC

  5. Creating DDI documentation • We were not present at the initial survey planning, design, or the production • Post-event information harvesting to create DDI documentation • Statistics Canada IMDB program • Public Use Microdata Documentation • Confidential Microdata metadata

  6. modeled after the traditional ‘codebook’: user’s guide, data dictionary, record layout. Document Description Study Description Data Files Description Variable Description Other Study-related Materials Statistics Canada IMDB and microdata metadata Survey description user guide Data Description sources and methodology Sampling and collection Data accuracy Variable description code book and record layout Other documents DDI version 1&2 vs. IMDB

  7. GSS 17 survey process Identify Data gap knowledge capture Data capture Sample selection Data quality control Survey design Dissemination Interviewer training Questionnaire design Data processing Pilot/Pre-test

  8. Post-event information harvesting • Is “artefacts hunting” enough? • Is there a knowledge loss? • Current need in the RDCs for a liaison between researchers and survey divisions • How about user feedbacks? • For example: • On data quality • Identify data gap

  9. Is there a knowledge loss? • Knowledge of interest to the research community • Data processing: consolidation, imputation, data suppression, …. • Data quality: respond error, weights calculation, … • Knowledge of interest to the survey community • Sample selection: stratification, hard to locate and follow sample groups, …. • Questionnaire design: Interviewer handbooks, pre-testing procedures and guidelines, …. • Has this knowledge been properly preserved somewhere?

  10. Preserved knowledge • Should DDI documentation be created throughout the life course of a survey? • Can DDI documentation be created throughout the life course of a survey? • Do we know enough now to answer the questions?

  11. Following thoughts… TOOLS PRODUCTS “Blaise” “SerDev” SAS Word Image Text IMDB …. Sample Questionnaire Interviewer handbook Data Dictionary Record layout User Guide Microdata file …. loss knowledge DDI ?

  12. Metadata life-cycle research • identify amount of metadata produced over the life cycle of a survey • identify tools in which metadata have been created, documented and stored • integrate into DDI

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