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Related Studies

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2123
Hirsh, E., & Cha, Y. (2018). For law and markets: Employment discrimination lawsuits, market performance, and managerial diversity. American Journal of Sociology, 123(4), 1117-1160. https://doi.org/10.1086/694887 [Lawsuit resolutions]
  • Topic Area: Employer Compliance

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Other Disparities or Discrimination in Employment and Earnings Preventing discrimination

2141
Castilla, E. J. (2015). Accounting for the gap: A firm study manipulating organizational accountability and transparency in pay decisions. Organization Science, 26(2), 311–333. https://psycnet.apa.org/doi/10.1287/orsc.2014.0950
  • Topic Area: Employer Compliance

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Other Disparities or Discrimination in Employment and Earnings Preventing discrimination

428

McIntyre, R., Paulson, R., & Lord, C. (2003). Alleviating women’s mathematics stereotype threat through salience of group achievements. Journal of Experimental Social Psychology, 39, 83-90.

  • Topic Area: Women in Science, Technology, Engineering, & Math (STEM)

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Outcome Effectiveness:

Preventing discrimination Science, Technology, Engineering, and Math (STEM) programs Youth programs

455

Weisgram, E., & Bigler, R. (2007). Effects of learning about gender discrimination on adolescent girls’ attitudes toward and interest in science. Psychology of Women Quarterly, 31, 262-269.

  • Topic Area: Women in Science, Technology, Engineering, & Math (STEM)

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Outcome Effectiveness:

Preventing discrimination Science, Technology, Engineering, and Math (STEM) programs Youth programs

2150
McNichols, D. T. (2019). Essays in labor economics (pp. 33-91) [Doctoral dissertation, University of Oregon]. https://scholarsbank.uoregon.edu/xmlui/handle/1794/24875
  • Topic Area: Employer Compliance

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Other Disparities or Discrimination in Employment and Earnings Preventing discrimination

2149
McLaughlin, J. S. (2020). Falling between the cracks: Discrimination laws and older women. Labour, 34(2), 215-238. https://doi.org/10.1111/labr.12175. [Federal ADEA comparison]
  • Topic Area: Employer Compliance

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Outcome Effectiveness:

Other Disparities or Discrimination in Employment and Earnings Preventing discrimination

2148
McLaughlin, J. S. (2020). Falling between the cracks: Discrimination laws and older women. Labour, 34(2), 215-238. https://doi.org/10.1111/labr.12175 [State age discrimination laws comparison]
  • Topic Area: Employer Compliance

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Outcome Effectiveness:

Other Disparities or Discrimination in Employment and Earnings Preventing discrimination

2124
Hirsh, E., & Cha, Y. (2018). For law and markets: Employment discrimination lawsuits, market performance, and managerial diversity. American Journal of Sociology, 123(4), 1117-1160. https://doi.org/10.1086/694887 [Court-mandated accountability policies]
  • Topic Area: Employer Compliance

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Other Disparities or Discrimination in Employment and Earnings Preventing discrimination

2125
Hirsh, E., & Cha, Y. (2018). For law and markets: Employment discrimination lawsuits, market performance, and managerial diversity. American Journal of Sociology, 123(4), 1117-1160. https://doi.org/10.1086/694887 [Court-mandated diversity training]
  • Topic Area: Employer Compliance

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Other Disparities or Discrimination in Employment and Earnings Preventing discrimination

471

Conley, A., McMillan, S., & Tovar, L. (2013). Hardhats, boots and goggles revisited: STEM career development for the 21st century. Career Planning & Adult Development Journal, 29(2), 81-92.

  • Topic Area: Women in Science, Technology, Engineering, & Math (STEM)

Study Type: Descriptive Analysis

Outcome Effectiveness:

Mentoring Science, Technology, Engineering, and Math (STEM) programs Preventing discrimination