Measuring Worklife Expectancy: Debunking the “Try Rate” and “P Problem”

Brookshire & Forlines (2015) discuss the concept of a “try rate” in attempting to create a “P problem” regarding the measurement of worklife expectancy. The main issue with their argument is that it completely neglects the many reasons that some individuals with disabilities are not participants in the labor force. Disabled individuals, even when participating in the labor market and seeking employment, often find themselves unemployed as a result of their efforts. Over time, they may become discouraged from participation and drop out of the labor market. Even if these individuals were participants in the labor force, they would likely be unemployed.

Authors

Publication Details

Journal
The Rehabilitation Professional
Published
2025-11-08
DOI
https://doi.org/10.70385/001c.146945
Primary Topic
Employment and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measuring Worklife Expectancy: Debunking the “Try Rate” and “P Problem”

Joseph T. Crouse, Tony R. Reyes, Enrique N. Vega
The Rehabilitation Professional
Employment and Welfare Studies
article

Measuring Worklife Expectancy: Debunking the “Try Rate” and “P Problem”

Joseph T. Crouse, Tony R. Reyes, Enrique N. Vega
article en

Abstract

Brookshire & Forlines (2015) discuss the concept of a “try rate” in attempting to create a “P problem” regarding the measurement of worklife expectancy. The main issue with their argument is that it completely neglects the many reasons that some individuals with disabilities are not participants in the labor force. Disabled individuals, even when participating in the labor market and seeking employment, often find themselves unemployed as a result of their efforts. Over time, they may become discouraged from participation and drop out of the labor market. Even if these individuals were participants in the labor force, they would likely be unemployed.

The Rehabilitation ProfessionalVol. 23(3)
Openalex Percentile: Top 50%
Employment and Welfare Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.