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Data Mining Using the Federal Research and Evaluation Database

Predict. Explain. Describe. Data Mining Using the Federal Research and Evaluation Database. Agenda. Overview of the tool The basics of data analysis TAA and WIA application menus Exploring menu options Example scenarios Questions?. http://www.fred-info.org. Overview of the Tool.

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Data Mining Using the Federal Research and Evaluation Database

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  1. Predict Explain Describe Data Mining Using the Federal Research and Evaluation Database

  2. Agenda • Overview of the tool • The basics of data analysis • TAA and WIA application menus • Exploring menu options • Example scenarios • Questions? http://www.fred-info.org

  3. Overview of the Tool • Currently contains data on exiters from the PY04 WIASRD and FY05 TAPR • Examine performance, caseload and program information from the national, regional, state and local levels • Display trends in performance by quarter as well as the characteristics of the exiter cohort • Create comparison groups based on parameters set by the user • Create cross-tabulation tables and correlations The Federal Research and Evaluation Database (FRED) enables analysis of the Trade Act Participant Report (TAPR) and the WIA Standardized Record Data (WIASRD). Both are annually submitted by states on exiters' demographic characteristics, the services they received, and the outcomes they achieved after exit.

  4. Categorical Scale The Use of Data Elements in FRED • Data Elements or Variables • Dependent variable (end-result or outcome) • Independent variables (causal or predictor) • Control or intervening variables (confounding) • Types of variables (levels of measures) • Nominal • Ordinal • Interval • Ratio • Remember: The types of variables we choose determines the statistical • procedures we use in the analyses.

  5. Descriptive Statistics • Summary statistics on key variables • Number, mean, minimum, maximum, standard deviation, percentiles • Graphical techniques are often used to display distributions • Cross-tabulations are used to describe the relationships between two or more variables

  6. Application Menus Go to http://www.fred-info.org

  7. Accessing the WIA Menu

  8. Funding Formula Specific Program Area Specific Accessing the WIA Menu

  9. WIA Program-Specific Menu 14 Applications

  10. Accessing the TAA Menu

  11. Accessing the TAA Menu 10 Applications

  12. Commonly Used Menu Options • Drill down-all measures • Drill down by measure • Benchmark performance against peers • Create a performance adjustment model and worksheet • Calculated performance by rolling quarters • Profiles by program area • Find the top performers for a given performance measure • Ad hoc analysis

  13. Drill Down: All Measures • This tool allows the user to drill down into program year and levels of program administration to examine performance. The All Measures selection allows the user to examine performance for all measurement groups at once.

  14. Drill Down: By Measures • Focusing on a single measure at a time, this tool allows the user to drill down into program year and levels of program administration to examine performance. The By Measures selection allows the user to examine the effect of client characteristics and program services on a performance outcome.

  15. Downloaded file is in a comma separated value (CSV) format

  16. Benchmark Performance • This tool allows the user to benchmark the performance of a given state or local area against the performance of other areas with similar conditions.

  17. Adjustment Model • This tool allows the user to develop a performance adjustment model to help in understanding the impacts of various factors on performance at the state, regional or national level. The model is displayed as a worksheet. The user can adjust the factors included in the worksheet on-line to explore the impacts resulting from changes in customer characteristics, program services, and economic conditions.

  18. This link provides detailed results from the regression procedure, including correlation coefficients.

  19. Performance by Rolling Quarters • This tool allows the user to analyze performance trends that reflect a four quarter average. Looking at a year’s worth of data each quarter removes cyclical quarter to quarter fluctuations to more clearly see overall performance trends.

  20. Area Profiles • This tool allows the user to display customer and program service profiles by funding stream during a given program year. Profiles may also be created to reflect national, regional, state or LWIA characteristics.

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