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Introduction to Survey Documentation and Analysis (SDA)

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Presentation on theme: "Introduction to Survey Documentation and Analysis (SDA)"— Presentation transcript:

1 Introduction to Survey Documentation and Analysis (SDA)
Jon Stiles, UC DATA April 1, 2010

2 Part I. The Basics of SDA What is SDA? What data is available in SDA?
What can you do with SDA? The parts of the SDA interface Menu Variable List Active variables Analysis Specification

3 Part II. Working with SDA
1. Finding data/variables/subjects - search - documentation 2. Analysis - Components - rows, columns, selection, controls Procedures - crosstabs, means, correlations Aids in Analysis Recoding Saving new variables Downloading

4 Part I. The Basics of SDA What is SDA?
SDA (Survey Documentation and Analysis) is a set of programs for the documentation and Web-based analysis of survey data. It was developed and is maintained by the Computer-assisted Survey Methods Program (CSM) at UC Berkeley. It was developed as a companion program with CASES (Computer Assisted Survey Execution Program), a package for collecting survey data based on structured questionnaires, using a variety of modes of data collection. It operates on a transposed file structure, which makes analysis of datasets, especially large datasets, extremely fast.

5 Part I. The Basics of SDA What data is available in SDA? LOTS!
Many popular social science datasets (e.g. the GSS, the ANES, the PUMS from the Decennial Census, the ACS, the CPS Annual Demographic Files,…… can be found in SDA format. Many archives (ICPSR, IPUMS, CPANDA, Roper, SDA, UCDATA….) provide at least some of their holdings in SDA format.

6 575 Studies at ICPSR (http://www.icpsr.umich.edu/access/sda.html)

7 A brief aside: search filtering ICPSR

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16 Multiple Census Samples at IPUMS (http://usa.ipums.org/usa/sda/)

17 And CPS (March files) data, as well (http://cps.ipums.org/cps/sda/)

18 Cultural Policy and Arts National data Archive

19 UC DATA: California Polls

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21 6 Studies at Roper (http://www.icpsr.umich.edu/access/sda.html)

22 Orange County Polls (UCI) (http://data.lib.uci.edu/)

23 University of Maryland (PopCenter) (http://www.webuse.umd.edu/)

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25 Part I. The Basics of SDA What can you do with SDA?
SDA can be used to: learn about a dataset (metadata, paradata) search for variables of interest investigate sample sizes and variable distributions perform statistical analyses transform, manipulate and create variables for each unit extract and download subsets or full datasets

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27 Part I. The Basics of SDA The parts of the SDA interface Menu
Variable List Active variables Analysis Specification

28 Basic Menu Analysis – choose
Getting Started – note that you can resize /rearrange

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30 Collapsed Variable Tree

31 Active Variables

32 Analysis Specification

33 Part II. Working with SDA
1. Finding data/variables/subjects - search - documentation The Codebook Menu

34 Part II. Working with SDA
1. Finding data/variables/subjects - search - documentation The Search Menu

35 Part II. Working with SDA
Analysis - Components - rows, columns, selection, controls Procedures - crosstabs, means, correlations Screens will vary depending upon what procedure you are using. Start with exploratory – frequencies, cross-tabulations

36 Part II. Working with SDA
Aids in Analysis Recoding Saving new variables Downloading

37 Recoding variables – on the fly
age (5-18) age (r: 5-18) age (d: 5-18) age (c:13,5) Can be used in row, column, control (Crosstabs) Recoding variables – Web interface

38 Creating new variables
– Web interface

39 Part II. Working with SDA
Aids in Analysis Recoding Saving new variables Downloading

40 SDA Projects Under Development
What Next? SDA Projects Under Development Complex Standard Errors The calculation of standard errors for percentages and means in complex samples is being revised to incorporate new developments for subpopulations and for differences. Complex standard errors for regression coefficients will also be implemented in phase 2 of this project. Charts Charts were added to the MEANS program in version 3.4. Charts will also be added to the regression program in a future version. Data Documentation Initiative (DDI) Many organizations are working together to arrive at a common standard for documenting data files using XML. CSM is participating in this ongoing effort and has been involved in developing tools to read and write DDI metadata files.


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