Using Fixed Effect Model to Adjust WIOA Performance Employment Rate Measure for Rehabilitation Services Administration

Yann-Yann Shieh

《International Journal of Intelligent Technologies and Applied Statistics》 10卷3期 (2017/09) Pp. 187-205

https://doi.org/10.6148/IJITAS.2017.1003.05

摘要

The purpose of this study was to use a fixed effect model applying rehabilitation data to establish each state's ＂adjusted levels of performance＂ for one of the primary performance indicators-employment rate. Since the Workforce Innovation and Opportunity Act (WIOA) requires the use of a statistical adjustment model for setting targets for core performance indicators, the Departments of Labor and Education have collaborated to develop a Statistical Adjustment Model per Sec.116 (b)(3)(A)(viii) of WIOA. Adjusted performance measures can be used to evaluate the relative performance across states that serve individuals with disabilities. State-level actual performance outcomes are a function of the characteristics of the participants being served and the labor market conditions where those participants are being served. The study results show that using fixed-effect prediction models based on vocational rehabilitation (VR) participants' characteristics and local economic conditions to adjust performance measures can allow policy makers or state VR administrators to set more accurate and realistic goals and standards for state performance measures and separate them from those factors that VR program administrators are able to control.

關鍵字

Statistical adjustment model ； Fixed effect model ； WIOA ； Vocational rehabilitation