Low Causal Evidence

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Displaying 41 - 50 of 482

Workplace financial education facilitates improvement in personal financial behaviors (Prawitz & Cohart, 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of a workplace financial education program on financial behaviors. The study used a nonexperimental design to compare the financial behaviors of…
Does webinar-based financial education affect knowledge and behavior? (Johnson & Schumacher, 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of the Growing Financial Wellness in South Dakota program on financial knowledge and behaviors. The study used an interrupted time series design.…
Brief report: Improving employment interview self-efficacy among adults with Autism and other developmental disabilities using Virtual Interactive Training Agents (ViTA) (Burke et al., 2021)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Virtual Interactive Training Agents (ViTA) program on training outcomes for students with disabilities. The study used an interrupted time…
Scaling out virtual interview training for transition-age youth: A quasi-experimental hybrid effectiveness-implementation study (Smith et al., 2022)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of Virtual Interview Training for Transition Age Youth (VIT-TAY) on employment outcomes for transition-age youth with disabilities. The study used…
Competitive employment for youth with autism spectrum disorders: Early results from a randomized clinical trial (Wehman et al., 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of Project SEARCH plus Autism Spectrum Disorder (ASD) Supports on employment outcomes. The study was a randomized controlled trial. Using…
A quantitative assessment of the effectiveness of USDA's AgrAbility project (Fetsch & Turk, 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of AgrAbility projects on health outcomes. The study used a nonexperimental design to compare the quality of life (QOL) scores and independent…
Behavioral activation therapy for return to work in medication-responsive chronic depression with persistent psychosocial dysfunction (Hellerstein et al., 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of Behavioral Activation therapy with a goal of returning to work (BA-W) on employment and health outcomes. The study used an interrupted time…
Stages of change scale to measure work readiness of transition-age youth with disabilities: A promising approach (Schlegelmilch et al., 2021)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of the Wisconsin PROMISE program on readiness for employment among youth with disabilities. The study used an interrupted time series design to…
Implementing coordinated specialty care for early psychosis: The RAISE Connection Program (Dixon et al., 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Recovery After an Initial Schizophrenia Episode (RAISE) Connection Program on employment, education, and health outcomes. The study…
Longitudinal outcomes of Project SEARCH in upstate New York (Christensen et al., 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of Project SEARCH on employment and wage outcomes. The authors used an interrupted time series to examine the outcomes of emerging adults with…

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.