Presentation is loading. Please wait.

Presentation is loading. Please wait.

Applying DDI to a Longitudinal Study of Aging. Overview of Presentation  Content of MIDUS  Importance of DDI as Data Management  Process of Creating.

Published byAlexander McKenzie Modified over 9 years ago

Similar presentations

Presentation on theme: "Applying DDI to a Longitudinal Study of Aging. Overview of Presentation  Content of MIDUS  Importance of DDI as Data Management  Process of Creating."— Presentation transcript:

1 Applying DDI to a Longitudinal Study of Aging

2 Overview of Presentation  Content of MIDUS  Importance of DDI as Data Management  Process of Creating MIDUS DDI Instances  Moving from DDI 2 to DDI 3

3 MIDUS (Midlife in the U.S.) Baseline: 1995-96 Harvard MacArthur Found. N=7,108 Twins/Siblings Followup: 2004-05 UW-Madison NIA Expanded content N=4,963 (75%)

4 MIDUS: Strengths and Complexities Multidisciplinary content Innovative design Multi-site data collection

5

6 MIDUS 2 Longitudinal Multi-project Participation M2 Survey N=5,555 Cognition N=4,512 Neuroscience n=332 Biomarker n=1,255 Daily Stress N=2,022 n=1,011 n=1,152 M1 Survey N=7,108

7 MIDUS: Strengths and Complexities Multidisciplinary content Aging as integrated bio-psycho-social process Innovative design Multi-site data collection Wide age range 25-74 baseline, ≈ 10 year wave interval Multiple sample cohorts

8 MIDUS 1 Sample (N=7,108) Main RDDSiblingsTwins MIDUS Samples and Timelines 2015 19952005

9 MIDUS 1 Sample (N=7,108) Main RDDSiblingsTwins MIDUS Samples and Timelines MIDUS 2 Main RDDSiblingsTwins 2015 19952005

10 MIDUS 1 Sample (N=7,108) Main RDDSiblingsTwins MIDUS Samples and Timelines MIDUS 2 Main RDDSiblingsTwins 2015 19952005 Milwaukee (N=592) New Midlife in Japan (N=1,032) New

11 MIDUS 1 Sample (N=7,108) Main RDDSiblingsTwins MIDUS Samples and Timelines MIDUS 2 Main RDDSiblingsTwins MIDUS 3 (2013) Main RDDSiblingsTwins 2015 19952005 Milwaukee (N=592) New Midlife in Japan (N=1,032) New MIDJA 2 (2013) ?

12 MIDUS 1 Sample (N=7,108) Main RDDSiblingsTwins MIDUS Samples and Timelines MIDUS 2 Main RDDSiblingsTwins MIDUS 3 (2013) Main RDDSiblingsTwins 2015 19952005 Milwaukee (N=592) New Midlife in Japan (N=1,032) New MIDJA 2 (2013) Refresher Sample (N≈2,659) RDD (N≈2,152) Milwaukee (N≈507) New ?

13 MIDUS 1 Sample (N=7,108) Main RDDSiblingsTwins Multiple Longitudinal Sample Cohorts MIDUS 2 Main RDDSiblingsTwins MIDUS 3 (2013) Main RDDSiblingsTwins 2015 19952005 Milwaukee (N=592) Midlife in Japan (N=1,032) MIDJA 2 (2013) Refresher Sample (N≈2,659) RDD (N≈2,152) Milwaukee (N≈507) ? 1 2 3 45

14 MIDUS: Strengths and Complexities Multidisciplinary content Aging as integrated bio-psycho-social process Innovative design Multi-site data collection Wide age range 25-74 baseline, ≈ 10 year wave interval Multiple sample cohorts Use of data – collaborative philosophy 450+ publications, top 10 data download (ICPSR)

15 Old MIDUS 1 Codebook MIDUS I MAIN MAIL QUESTIONNAIRE: SECTION A Var Var Name/ Question/Description Frequencies Position Question # 977 SA1 Using a scale from 0 to 10 where 0 means "the worst possible health" and 10 means "the best possible health," how would you rate your health these days? (See "Documentation of Scales.rtf") Male Female 0 WORST 2 6 1 4 9 2 6 4 3 31 34 4 54 61 5 134 179 6 172 157 7 433 381 8 622 548 9 278 320 10 BEST 102 135 98 REFUSED/MISSING 8 10. SYSTEM-MISSING (Did not complete SAQ) 309 243

16 Advantages of DDI/XML  Web fodder, online archives, ICPSR support  Web standard for data exchange  Integrate all electronic documentation  XML human and machine-readable, self-describing  Interoperabiltiy, no licenses  Hierarchical, extensible  Learning curve, cost/time efficiencies

17 MIDUS 2 DDI Codebooks  UW Implementation UW Implementation  With Hyperlinks With Hyperlinks  ICPSR Implementation ICPSR Implementation

18 MIDUS DDI 2 Codebooks  http://midus1-project1.ssc.wisc.edu/ http://midus1-project1.ssc.wisc.edu/  http://midus2-project1.ssc.wisc.edu/ http://midus2-project1.ssc.wisc.edu/  http://midus2-project2.ssc.wisc.edu/ http://midus2-project2.ssc.wisc.edu/  http://midus2-project3.ssc.wisc.edu/ http://midus2-project3.ssc.wisc.edu/  http://midus2-project4.ssc.wisc.edu/ http://midus2-project4.ssc.wisc.edu/  http://midus2-project5.ssc.wisc.edu/ http://midus2-project5.ssc.wisc.edu/  http://midus2-project1.ssc.wisc.edu/milwaukee/ http://midus2-project1.ssc.wisc.edu/milwaukee/  http://midus2-project1.ssc.wisc.edu/midja/ http://midus2-project1.ssc.wisc.edu/midja/

19 MIDUS DDI 3 Repository  http://midus.colectica.org/ http://midus.colectica.org/

20 MIDUS Documentation Data Files Web Codebooks and Documentation DDI 2 Spreadsheets Survey Source Code PDFs

21 Mapping MIDUS to DDI 3  Joint project between MIDUS and Colectica  Approximately 1 month timeframe  Main tool: Colectica  Repository  Designer  SDK

22 Mapping MIDUS to DDI 3 SourceDDI 3 Mapping Data FilesPhysicalInstance, Variable, VariableStatistics

23 Mapping MIDUS to DDI 3 SourceDDI 3 Mapping Data FilesPhysicalInstance, Variable, VariableStatistics Web documents and Codebooks StudyUnit, FundingInformation, OtherMaterial

24 Mapping MIDUS to DDI 3 SourceDDI 3 Mapping Data FilesPhysicalInstance, Variable, VariableStatistics Web documents and Codebooks StudyUnit, FundingInformation, OtherMaterial DDI 2 PhysicalInstance, Variable, QuestionItem, VariableStatistics

25 Mapping MIDUS to DDI 3 SourceDDI 3 Mapping Data FilesPhysicalInstance, Variable, VariableStatistics Web documents and Codebooks StudyUnit, FundingInformation, OtherMaterial DDI 2 PhysicalInstance, Variable, QuestionItem, VariableStatistics SpreadsheetsVariable, QuestionItem

26 Mapping MIDUS to DDI 3 SourceDDI 3 Mapping Data FilesPhysicalInstance, Variable, VariableStatistics Web documents and Codebooks StudyUnit, FundingInformation, OtherMaterial DDI 2 PhysicalInstance, Variable, QuestionItem, VariableStatistics SpreadsheetsVariable, QuestionItem CAI Source CodeInstrument, QuestionItem, ControlConstructSequence

27 Mapping MIDUS to DDI 3 SourceDDI 3 Mapping Data FilesPhysicalInstance, Variable, VariableStatistics Web documents and Codebooks StudyUnit, FundingInformation, OtherMaterial DDI 2 PhysicalInstance, Variable, QuestionItem, VariableStatistics SpreadsheetsVariable, QuestionItem CAI Source CodeInstrument, QuestionItem, ControlConstructSequence PDF DocumentsOtherMaterial

28 Resulting Documentation

29 Thank you Barry Radler – UW-Madison (bradler@wisc.edu) Jeremy Iverson – Colectica (jeremy@colectica.com) Dan Smith-Colectica (dan@colectica.com) midus.wisc.edu www.colectica.com

Download ppt "Applying DDI to a Longitudinal Study of Aging. Overview of Presentation  Content of MIDUS  Importance of DDI as Data Management  Process of Creating."

Similar presentations

ICPSR-SRO Shared Data Model Project Mary Vardigan Director, DDI Alliance.

ICPSR-SRO Shared Data Model Project Mary Vardigan Director, DDI Alliance.
DLI Training Nesstar Workshop

DLI Training Nesstar Workshop
Data Documentation Initiative (DDI) Workshop Carol Perry Ernie Boyko April 2005 Kingston Ontario.

Data Documentation Initiative (DDI) Workshop Carol Perry Ernie Boyko April 2005 Kingston Ontario.
Chapter 2: Nonexperimental Research Approaches This multimedia product and its contents are protected under copyright law. The following are prohibited.

Chapter 2: Nonexperimental Research Approaches This multimedia product and its contents are protected under copyright law. The following are prohibited.
Metadata at ICPSR Sanda Ionescu, ICPSR.

Metadata at ICPSR Sanda Ionescu, ICPSR.
10. NLTS2 Documentation Overview. 1 Prerequisites Recommended modules to complete before viewing this module  1. Introduction to the NLTS2 Training Modules.

10. NLTS2 Documentation Overview. 1 Prerequisites Recommended modules to complete before viewing this module  1. Introduction to the NLTS2 Training Modules.
Developments in Data Discovery at ICPSR George Alter Director, ICPSR University of Michigan.

Developments in Data Discovery at ICPSR George Alter Director, ICPSR University of Michigan.
IAEA International Atomic Energy Agency ICSTI 2013 Annual Members’ Meeting 16-17 March 2013.

IAEA International Atomic Energy Agency ICSTI 2013 Annual Members’ Meeting March 2013.
INTER-UNIVERSITY CONSORTIUM FOR POLITICAL AND SOCIAL RESEARCH Social Science Data and Resources for Researchers Converting Legacy Documentation to DDI:

INTER-UNIVERSITY CONSORTIUM FOR POLITICAL AND SOCIAL RESEARCH Social Science Data and Resources for Researchers Converting Legacy Documentation to DDI:
Quantitative Research Deals with quantities and relationships between attributes (variables). Involves the collection and analysis of highly structured.

Quantitative Research Deals with quantities and relationships between attributes (variables). Involves the collection and analysis of highly structured.
DDI Version 3 and Instrument Documentation Karl Dinkelmann Survey Research Center Institute for Social Research University of Michigan IASSIST Ann Arbor,

DDI Version 3 and Instrument Documentation Karl Dinkelmann Survey Research Center Institute for Social Research University of Michigan IASSIST Ann Arbor,
USIA Office of Research Surveys, 1952-99 NARA – Roper Center Collaboration: An Update Lois Timms-Ferrara The Roper Center for Public Opinion Research and.

USIA Office of Research Surveys, NARA – Roper Center Collaboration: An Update Lois Timms-Ferrara The Roper Center for Public Opinion Research and.
Meta Data Standards for Managing and Archiving Longitudinal Data: Achieving Best Practice Melanie Spallek*, Michele Haynes* & Mark Western* presented by.

Meta Data Standards for Managing and Archiving Longitudinal Data: Achieving Best Practice Melanie Spallek*, Michele Haynes* & Mark Western* presented by.
Präsentationstitel IAB-ITM Find the right tags in DDI IASSIST 2009, 27th-30th Mai 2009 IAB-ITM Finding the Right Tags in DDI 3.0: A Beginner's Experience.

Präsentationstitel IAB-ITM Find the right tags in DDI IASSIST 2009, 27th-30th Mai 2009 IAB-ITM Finding the Right Tags in DDI 3.0: A Beginner's Experience.
Documentation Tools in the Survey Lifecycle. Outline What is NSFG Webdoc? Instrument documentation != Survey documentation Data Cleaning/Processing in.

Documentation Tools in the Survey Lifecycle. Outline What is NSFG Webdoc? Instrument documentation != Survey documentation Data Cleaning/Processing in.
 Name and organization  Have you worked with DDI before? (2 or 3)  If not, are you familiar with XML?  What kind of CAI systems do you use?  Goals.

 Name and organization  Have you worked with DDI before? (2 or 3)  If not, are you familiar with XML?  What kind of CAI systems do you use?  Goals.
© 2014 by the Regents of the University of Michigan Metadata from Blaise and DDI 3.0/3.2 Gina Cheung Beth-Ellen Pennell North American DDI Conference April.

© 2014 by the Regents of the University of Michigan Metadata from Blaise and DDI 3.0/3.2 Gina Cheung Beth-Ellen Pennell North American DDI Conference April.
Data Documentation Initiative (DDI): Goals and Benefits Mary Vardigan Director, DDI Alliance.

Data Documentation Initiative (DDI): Goals and Benefits Mary Vardigan Director, DDI Alliance.
ESCWA SDMX Workshop Session: Role in the Statistical Lifecycle and Relationship with DDI (Data Documentation Initiative)

ESCWA SDMX Workshop Session: Role in the Statistical Lifecycle and Relationship with DDI (Data Documentation Initiative)
World Bank, Africa Region, Africa Household Survey Databank - The World Bank - Africa.

World Bank, Africa Region, Africa Household Survey Databank - The World Bank - Africa.

Similar presentations

Ads by Google