Title,Citation,Topic_area,Study_type,Study_evidence_rating,Outcome_effectiveness,Findings,Intervention_program,Topics,Target_population,Firm_characteristics,Geographic_setting,Original_publication_date,Original_publication_link
"Employment outcomes among African American and white women with disabilities: Examining the inequalities.","Balcazar, F. E., & Suarez-Balcazar, Y. (2015). Employment outcomes among African American and white women with disabilities: Examining the inequalities. Women, Gender, and Families of Color, 3(2), 144-164.","Older Workers","Study Type: Causal Impact Analysis","Causal Evidence Rating: Low Causal Evidence","Employment-Low-No impacts
      
    
  
              


      
            Employment","Summary:

The study examined the impact of adult vocational rehabilitation (VR) services on employment outcomes for African American and white women.
The authors used a statistical model and data from a Midwestern state VR system to compare the odds of employment after completing VR services for older versus younger women.
The study found no significant difference in employment outcomes between older and younger women who completed VR services.
The quality of causal evidence presented in this report is low because the authors did not ensure that the groups being compared were similar before receiving VR services. This means we are not confident that the estimated effects are attributable to participation in VR services; other factors are likely to have contributed.","Vocational Rehabilitation (VR) Services","Vocational rehabilitation","Adult, Older worker, Female, Black or African American, White, Disability",,"United States",2015,
"What predicts middle school girls’ interest in computing?","Denner, J. (2011). What predicts middle school girls’ interest in computing? International Journal of Gender, Science and Technology, 3(1), 54-69.","Women in Science, Technology, Engineering, & Math (STEM)","Study Type: Descriptive Analysis",,,"Summary:

	This paper analyzed white and Latina middle school girls’ interest in and knowledge of careers in computer science following their participation in a voluntary after-school and summer school program in central California.
	The author administered a survey to 140 program participants and conducted stepwise multiple regressions to identify factors that significantly affected the girls’ interest in computing classes and careers. The author also ran secondary analyses to address possible indirect or mediating influences on the girls’ interest in computing classes and careers.
	The study found that three factors significantly predicted girls’ interest in computing classes and careers: (1) a youth’s level of technological curiosity, (2) perceived support from school peers and teachers to pursue computing classes and degrees, and (3) feelings that computers were relevant to her life.
	The study also found that although perceived parental support and gender stereotypes did not directly predict the girls’ interest in computing classes and careers, these factors did indirectly predict girls’ interest in computing.",,"Youth programs Science, Technology, Engineering, and Math (STEM) programs","Youth, Female, White, Hispanic of any race",,"United States",2011,
"Questioning a white male advantage in STEM: Examining disparities in college major by gender and race/ethnicity","Riegle-Crumb, C., & King, B. (2011). Questioning a white male advantage in STEM: Examining disparities in college major by gender and race/ethnicity. Educational Researcher, 39(9), 656-664.","Women in Science, Technology, Engineering, & Math (STEM)","Study Type: Descriptive Analysis",,,"Summary:

	
	
		The study's objective was to examine differences in students’ likelihood of majoring in a science, technology, engineering, and mathematics (STEM) field, based on gender and ethnicity.
		The study used statistical methods to estimate the likelihood of majoring in the physical sciences or engineering, or in the biological sciences, versus non-STEM fields. The authors also examined this likelihood for traditionally underrepresented groups (white, black, and Hispanic women and black and Hispanic men) compared to white men. The analyses controlled for student socioeconomic factors, delayed college entry, academic preparation, and attitudes toward math. Data sources included students’ high school transcripts and surveys conducted through the Educational Longitudinal Study of 2002.
		The study found that white and Hispanic women were less likely to major in the physical sciences or engineering, versus a non-STEM major, than white men. Black women were also less likely to major in a physical science or engineering field than white men, but the gap was slightly smaller.
		In contrast to the large gender gaps evident in the choice of physical science and engineering majors, there were no differences between the gender/ethnicity groups in the likelihood of majoring in a biological sciences field compared to a non-STEM field. The study found that academic preparation and attitudes toward math rarely explained why men were more likely to choose a STEM major than women.",,"Youth programs Science, Technology, Engineering, and Math (STEM) programs","Youth, Female, Male, White, Black or African American, Hispanic of any race",,"United States",2011,
"The impact of Equal Employment Opportunity Commission enforcement on the wages of African American and white women, 1988–1996","Wilhelm, S. (2002). The impact of Equal Employment Opportunity Commission enforcement on the wages of African American and white women, 1988–1996. The Review of Black Political Economy, 30(2), 25-51.","Employer Compliance","Study Type: Causal Impact Analysis","Causal Evidence Rating: Low Causal Evidence","Earnings and wages-Low-Favorable impacts
      
    
  
              


      
            Earnings and wages","Summary:


The study’s objective was to examine the impact of employment discrimination charges filed with the Equal Employment Opportunity Commission (EEOC) on the wages of African American and white women.
The author used regression analyses to compare the effects of sex- and race-based discrimination charges within an industry in a given year on the wages of African American and white women from 1988 to 1996. Data came from the Current Population Survey and the EEOC National Database.
The study found that increases in employment discrimination charges based on sex were positively correlated with increases in wages for both African American and white women. 
The quality of causal evidence provided in this study is low because the study did not adequately control for existing differences between the study groups. This means that we are not confident that the estimated effects are attributable to EEOC enforcement. Other factors are likely to have contributed.","Equal Employment Opportunity Commission Enforcement","Equal Employment Opportunity Act of 1972","Female, Black or African American, White",,"United States",2002,