Low Causal Evidence

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Displaying 61 - 70 of 482

Estimating the effects of independent living services on educational attainment and employment of foster care youth (Kim et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of Independent Living Services (ILS) on high school graduation, post-secondary educational attainment, and full-time employment. Using survey and…
Do state-customized TANF work policies actually reduce unemployment? (Kim & Berry, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of Temporary Assistance for Needy Families (TANF) worker supplement programs on low-income women’s unemployment. The authors used state-…
Supported Employment for People with Intellectual Disabilities, Autism Spectrum Disorders, and Schizophrenia: A Propensity Matched Comparison of Vocational Rehabilitation Methods (Chan & Kregel, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of Supported Employment (SE), through Vocational Rehabilitation (VR), on competitive employment. The study used a regression matched comparison…
Supported education and employment services for young people with early psychosis in OnTrackNY (Humensky et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of supported education and employment services (SEE) on employment. The study is an interrupted time series analyses: participants were…
Engaging SSI youth and families with ASPIRE services (Ipsen et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of ASPIRE (Achieving Success by Promoting Readiness for Education and Employment) program on youth employment and educational activities. …
Super savers? A randomized evaluation of commitment savings and financial counseling in New York City (Karlan et al., 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of a savings and financial counseling program on financial behaviors. This summary focuses on the comparison between participants in the Super Savers…
A community-based randomized controlled trial of an educational intervention to promote retirement saving among Hispanics (Blanco et al., 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the program “Yo Planeo Retiro” on knowledge for retirement savings. The study was a randomized controlled trial, assigning eligible…
The impact of motivational interviewing training on rehabilitation counselors: Assessing working alliance and client engagement (Torres et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of motivational interviewing (MI) training on self-perceptions of MI competence. The study was a randomized controlled trial that used…
Work-focused cognitive behavioral therapy to complement vocational services for people with mental illness: Pilot study outcomes across a 6-month posttreatment follow-up (Kukla et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of Cognitive Behavioral Therapy for Work Success (CBTw) on employment status, hours worked per week, and hourly earnings. The study uses…
The effect of wage subsidies on piece rate workers: Evidence from the penny per pound program in Florida (Ku, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of Penny Per Pound (PPP) on daily hours worked. The author used a statistical model to compare the outcomes of…

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.