Randomized Control Trial (RCT)

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Displaying 151 - 160 of 527

Reducing inequality summer by summer: Lessons from an evaluation of the Boston Summer Youth Employment Program (Modestino & Paulsen 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of the Boston Summer Youth Employment Program (SYEP) on future work plans, academic aspirations, and job readiness skills. The study…
Program Keluarga Harapan: Main findings from the impact evaluation of Indonesia’s pilot household conditional cash transfer program (World Bank 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of a conditional cash transfer program, Program Keluarga Harapan (PKH), on child school and work participation. The study was a randomized controlled…
The effect of minimum wages on low-wage jobs (Cengiz et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of state minimum wage increases on employment. The authors used a difference-in-difference design to estimate the impacts of…
Mindfulness training improves employee well-being: A randomized controlled trial (Slutsky et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of a mindfulness training intervention on productivity and attitudes about attentional focus, job satisfaction,…
Caring for the elderly at work and home: Can a randomized organizational intervention improve psychological health? (Kossek et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the STAR intervention, designed to increase employees’ social support and sense of control over work and schedules, on perceived stress and…
Tightened immigration policies and the self-employment dynamics of Mexican immigrants (Wang, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of immigration policies after September 11, 2001, on self-employment among Mexican immigrants. The study…
Effectiveness of a no-cost-to-workers, slip-resistant footwear program for reducing slipping-related injuries in food service workers: a cluster randomized trial (Bell, Collins & Chiou, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The report's objective was to examine the impact of a no-cost-to-workers, slip-resistant footwear (SRF) program on slip-related work injuries. This study is a cluster-level randomized…
Supervisor support training effects on veteran health and work outcomes in the civilian workplace (Hammer et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of Veteran-Supportive Supervisor Training (VSST) on perceived health, functional impairment, job performance, and turnover…
Managing laggards: The importance of a deep sales bench (Boichuk et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of a disincentive program for low-performing salespeople known as a “bench program” on productivity. …
Effectiveness of an energy management training course on employee well-being: a randomized controlled trial (Das et al. 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study's objective was to examine the impact of an employee well-being program on general health, mental health, physical functioning, role limitations due to emotional problems, role…

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.