Attitudes-Low-No impacts

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Displaying 1 - 9 of 9

Effectiveness of screened, demand-driven job training programs for disadvantaged workers: An evaluation of the New Orleans career pathway training (Baird et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the New Orleans Office of Workforce Development (OWD) Career Pathways training program on employment, earnings, and job satisfaction. This…
Effects of Flipgrid for training on job satisfaction in adjunct clinical nursing faculty in a baccalaureate nursing program (Quimba, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of a virtual training platform, Flipgrid, on job satisfaction among adjunct clinical nursing faculty. The study was a randomized…
The effect of a teamwork intervention on staff perception of teamwork and patient care on a medical surgical unit (Marguet & Ogaz 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of a teamwork intervention on participants’ job satisfaction, perceived level of teamwork at work, and satisfaction with the perceived level of…
Optimizing screening, brief intervention, and referral to treatment (SBIRT) training for nurses and social workers: Testing the added effect of online patient simulation (O’Brien et al. 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examined the impact of an online patient simulation (OPS) for screening, brief intervention, and referral to treatment (SBIRT) on nursing and social work college students’ attitudes,…
Sustaining sleep: Results from the randomized controlled Work, Family, and Health Study (Crain 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 work-family intervention targeting employee control over work schedule and family-supportive supervisor behaviors on employees’ sleep quantity…
Increasing retention of women engineering students (Sullivan & Davis 2007)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine how participating in a study-designed program called the Jornada Intervention affected undergraduate female engineering students’ attitudes toward and…
Inspiring girls and their female after school educators to pursue computer science and other STEM careers (Koch & Gorges 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of facilitating Build IT, an extracurricular information technology (IT) program for middle-school girls, on the facilitators’ interest in STEM…
Expanding Your Horizons: The impact of a one-day STEM conference on middle school girls’ and parents’ attitude toward STEM careers (Massi et al. 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to estimate the effects of a one-day annual conference on middle school girls’ (grades 6–8) and their parents’ interest in and knowledge of science, technology,…
Assessing the impact of small business training on nascent entrepreneurs in Illinois (Harfst 2006)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of participation in a Small Business Development Center (SBDC) seminar on intentions to start a business. The author administered a survey of his own…

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.