The study’s objective was to examine the impact of a microenterprise intervention from Network180, an agency serving people with intellectual and developmental disabilities, on employment, earnings…
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CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 191 - 200 of 482
Study Type: Causal Impact Analysis
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact on employment of an intensive case management (ICM) program for substance-dependent women receiving Temporary Assistance for Needy Families (TANF).…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Multi-State Advanced Manufacturing Consortium (M-SAMC) program participation on education outcomes. This summary focuses on the findings at…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Jewish Vocational Service (JVS)-Boston sectoral employment program on earnings and employment. The authors investigated similar research…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Per Scholas sectoral employment program on participants’ earnings and employment. The authors investigated similar research questions with two…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of different ways of framing retirement information on the age at which individuals intended to claim Social Security benefits. The authors randomly…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the High Growth Job Training Initiative (HGJTI) grant on earnings. This summary focuses on the apprenticeship program at South Texas College (STC…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of employment services offered through the Workforce Investment Act of 1998 (WIA) on employment and earnings outcomes. The author investigated…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the WorkKeys® assessment, a component of the TAACCCT-funded programming at Southeastern Economic and Education Leadership Consortium (SEELC)…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Per Scholas sectoral employment program on participants’ earnings and employment. The study was a randomized controlled trial and used survey…
CLEAR Icon Key
Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.
High Causal Evidence
Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence
Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence
Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis
Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis
Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis
Examines the implementation of a program, policy, or intervention.
Favorable
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed
The study found some favorable and some unfavorable impacts in the outcome domain.
None
The study found no statistically significant impacts in the outcome domain.
Unfavorable
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable
Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence
The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence
The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Little evidence that the effects are caused by the examined intervention.