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Related Studies

Displaying 1161 - 1170 of 1220
596

Scrivener, S., Weiss, M., & Sommo, C. (2012). What can a multifaceted program do for community college students? Early results from an evaluation of Accelerated Study in Associate Programs (ASAP) for developmental education students. New York: MDRC.

  • Topic Area: Community College

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Outcome Effectiveness:

Basic skills Community college education and other classroom training

1445

Farooq, A., & Kugler, A. D. (2015). What factors contributed to changes in employment during and after the great recession? IZA Journal of Labor Policy, 4(3), 1-28.

  • Topic Area: Veterans

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Veterans' reemployment Work Opportunity Tax Credit (WOTC)

462

Denner, J. (2011). What predicts middle school girls’ interest in computing? International Journal of Gender, Science and Technology, 3(1), 54-69.

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

Study Type: Descriptive Analysis

Outcome Effectiveness:

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

857

Butler, D., Alson, J., Bloom, D., Deitch, V., Hill, A., Hsueh, J., Jacobs, E., Kim, S., McRoberts, R., & Redcross, C. (2012). What strategies work for the hard-to-employ? Final results of the Hard-to-Employ demonstration and evaluation project and selected sites from the Employment Retention and Advancement project. (OPRE report 2012-08). Washington, DC: Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. [Minnesota Tier 2]

  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Other employment and reemployment Substance abuse recovery

856

Butler, D., Alson, J., Bloom, D., Deitch, V., Hill, A., Hsueh, J., Jacobs, E., Kim, S., McRoberts, R., & Redcross, C. (2012). What strategies work for the hard-to-employ? Final results of the Hard-to-Employ demonstration and evaluation project and selected sites from the Employment Retention and Advancement project. (OPRE Report 2012-08). Washington, DC: Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. [NYC PRIDE]

  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Other employment and reemployment Unemployment Insurance

855

Butler, D., Alson, J., Bloom, D., Deitch, V., Hill, A., Hsueh, J., Jacobs, E., Kim, S., McRoberts, R., & Redcross, C. (2012). What strategies work for the hard-to-employ? Final results of the hard-to-employ demonstration and evaluation project and selected sites from the Employment Retention and Advancement project. (OPRE Report 2012-08.) Washington, DC: Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. [NYC SACM]

  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Other employment and reemployment Substance abuse recovery

744

Smith, J., Lewis, K., Hawthorne, L., & Hodges, S. (2013). When trying hard isn’t natural: Women’s belonging with and motivation for male-dominated STEM fields as a function of effort expenditure concerns. Personality & Social Psychology Bulletin, 39(2), 131-143. [Study 3]

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

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Science, Technology, Engineering, and Math (STEM) programs

699

Smith, J., Lewis, K., Hawthorne, L., & Hodges, S. (2013). When trying hard isn’t natural: Women’s belonging with and motivation for male-dominated STEM fields as a function of effort expenditure concerns. Personality & Social Psychology Bulletin, 39(2), 131-143. [Study 2]

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

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Science, Technology, Engineering, and Math (STEM) programs

1136

Bailey, J. (2014). Who pays the high health costs of older workers? Evidence from prostate cancer screening mandates. Applied Economics, 46(32), 3931-3941. doi:10.1080/00036846.2014.948673

  • Topic Area: Older Workers

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Health insurance Older workers' programs

576

Riegle-Crumb, C., Moore, C., & Ramos-Wada, A. (2011). Who wants to have a career in science or math? Exploring adolescents’ future aspirations by gender and race/ethnicity. Science Education, 95(3), 458-476.

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

Study Type: Descriptive Analysis

Outcome Effectiveness:

Youth programs Science, Technology, Engineering, and Math (STEM) programs Other disparities or discrimination in employment and earnings