Gender Differences in Self-Estimates of General, Mathematical, Spatial and Verbal Intelligence: Four Meta Analyses.

By Agata Syzmanowicz, Adrian Furnham. 2011

127 citations recorded by the source corpus.

Subfields: Automotive Engineering, Experimental and Cognitive Psychology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7f8ddb53d1aefedb296774173bc91367bb6d0994

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Glenda Andrews
2. David Reilly
3. David L. Neumann
4. Joan Meyers-Levy
5. B. Loken
6. C. Leaper

In Experimental and Cognitive Psychology

1. Glenda Andrews
2. David Reilly
3. David L. Neumann
4. Christine R. Starr
5. Joan Meyers-Levy
6. B. Loken
7. C. Leaper

In Statistics and Probability

1. Joan Meyers-Levy
2. David Reilly
3. David L. Neumann
4. B. Loken
5. C. Leaper
6. Glenda Andrews
7. Christine R. Starr

Citations in the corpus

• Revisiting gender differences: What we know and what lies ahead☆ (2015, methodology): “For example, meta-analyses on self-estimates of general intelligence and mathematical/logical, spatial, and verbal abilities revealed that except for verbal ability, males consistently reported higher self-estimates than females (Syzmanowicz & Furnham, 2011).”
• Why are women underrepresented in Computer Science? Gender differences in stereotypes, self-efficacy, values, and interests and predictors of future CS course-taking and grades (2014, unknown): “…1999b, 2002, 2008a, 2008b; Beyer & Bowden, 1997; Beyer & Haller, 2006; Correll, 2001, 2004; Durndell & Haag, 2002; Ehrlinger & Dunning, 2003; Jagacinski, 2013; Roach, 2011; Stout, Dasgupta, Hunsinger, & McManus, 2011; Syzmanowicz & Furnham, 2011; Watt, 2006; Ziegler, Dresel, & Schober, 2000).”
• Helping and Hindering Undergraduate Women’s STEM Motivation: Experiences With STEM Encouragement, STEM-Related Gender Bias, and Sexual Harassment (2018, background): “However, more meaningful average gender differences in science and math competence beliefs have been observed during high school and college (Huang, 2013; Sikora & Pokropek, 2012; Syzmanowicz & Furnham, 2011).”
• Gender Differences in Spatial Ability: Implications for STEM Education and Approaches to Reducing the Gender Gap for Parents and Educators (2017, background): “A consistent finding cross-culturally is that when asked to rate their own level of general intelligence, males tend to estimate their intelligence level considerably higher than do females (for a meta-analysis see Szymanowicz & Furnham, 2011).”