Causal Impact Analysis

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Displaying 931 - 940 of 1084

Transformative graduate education programs: An analysis of impact on STEM and non-STEM Ph.D. completion (Kniola 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to determine whether universities participating in Transformative Graduate Education Programs (TGPs) conferred a greater number of science, technology, engineering, and…
Supporting young women to enter engineering: Long-term effects of a middle school engineering outreach program for girls (Demetry et al. 2009)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to assess the long-term impact of Camp Reach, a summer engineering enrichment program for middle school girls, on enrollment in STEM courses in high school and college.…
Student enrollment in high school AP sciences and calculus: how does it correlate with STEM careers? (Robinson 2003)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
This study’s objective was to examine differences in the intended choice of college science, technology, engineering, and mathematics (STEM) majors between females and males enrolled in high school…
When trying hard isn’t natural: Women’s belonging with and motivation for male-dominated STEM fields as a function of effort expenditure concerns (Smith et al. 2013)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examined the effect of providing information about effort requirements to succeed in a fictitious male-dominated eco-psychology master’s program on female students’ attitudes toward their…
The effects of hands-on activities on middle school females’ spatial skills and interest in engineering and technology-based careers (Phelps 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of participating in technology-based three-dimensional hands-on activities on middle school girls’ interest in becoming an engineer or technologist.…
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,…
The role of living–learning programs in women’s plans to attend graduate school in STEM fields (Szelényi & Inkelas 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to assess the impact of participating in a female-only STEM living-learning program on undergraduate female STEM majors’ intentions to pursue graduate studies in a STEM…
STEMing the tide: Using in-group experts to inoculate women’s self-concept in science, technology, engineering, and mathematics (STEM) (Stout et al. 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of interacting with a male or female upperclass student majoring in math and psychology (hereafter referred to as a male or female peer expert) on…
Teaching strategies designed to change the undergraduate experience for college women learning chemistry (Khan 2005)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of three teaching innovations—a contract, confidence-building exercises, and encouragement to apply for science internships—on performance in an…
Randomized government safety inspections reduce worker injuries with no detectable job loss (Levine et al. 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the effect of random OSHA inspections on firms’ injury-related outcomes and performance. To do this, the authors used a regression model to compare changes over…

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.