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Related Studies

Displaying 41 - 50 of 217
580

Yanowitz, K. (2004). Do scientists help people? Beliefs about scientists and the influence of pro-social context on girls’ attitudes toward physics. Journal of Women and Minorities in Science and Engineering, 10(4), 393-399.

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

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Outcome Effectiveness:

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

693

Wiswall, M., Stiefel, L., Schwartz, A., & Boccardo, J. (2014). Does attending a STEM high school improve student performance? Evidence from New York City. Economics of Education Review, 40, 93-105.

  • 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 Youth programs

281

Hemmeter, J. (2014). Earnings and disability program participation of Youth Transition Demonstration Participants after 24 months. Social Security Bulletin, 74(1), 1–26.

  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Disability insurance Supplemental security income (SSI) Youth programs

2301
Hemmeter, J. (2014). Earnings and disability program participation of Youth Transition Demonstration participants after 24 months. Social Security Bulletin, 74(1), 1-25. [New York: Erie County Transition WORKS site]
  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Employment and Training Services Employment and Reemployment Youth programs

2300
Hemmeter, J. (2014). Earnings and disability program participation of Youth Transition Demonstration participants after 24 months. Social Security Bulletin, 74(1), 1-25. [New York: CUNY site]
  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Employment and Training Services Employment and Reemployment Youth programs

2305
Hemmeter, J. (2014). Earnings and disability program participation of youth transition demonstration participants after 24 months. Social Security Bulletin, 74(1), 1-25. [West Virginia Youth Works site]
  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Employment and Training Services Employment and Reemployment Youth programs

2302
Hemmeter, J. (2014). Earnings and disability program participation of Youth Transition Demonstration participants after 24 months. Social Security Bulletin, 74(1), 1-25. [Colorado Youth WINS site]
  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Employment and Training Services Employment and Reemployment Youth programs

2303
Hemmeter, J. (2014). Earnings and disability program participation of Youth Transition Demonstration participants after 24 months. Social Security Bulletin, 74(1), 1-25. [Maryland: Montgomery County Career Transition Program (CTP) site]
  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Employment and Training Services Employment and Reemployment Youth programs

2304
Hemmeter, J. (2014). Earnings and disability program participation of youth transition demonstration participants after 24 months. Social Security Bulletin, 74(1), 1-25. [Florida: Miami-Dade County BHBF site]
  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Employment and Training Services Employment and Reemployment 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