Similarities tradition
Differences tradition
Similarities hypothesis (Hyde, 2014): Suggests that women and men are overall more similar than different, with some differences in psychological dimensions and abilities.
Despite a century of research, no evidence of a single psychological trait or cognitive ability on which men and women are completely different.
Mean differences do not account for variability in individuals.
Statistical significance does not guarantee usefulness in predicting actual behavior.
Intersectionality: Recognizing overlapping social identities and related systems of oppression.
An over-emphasis on difference in psychological testing.
Journals typically favor publishing findings of gender differences over similarities.
Lack of statistically significant differences does not imply absence of any differences.
The most persistent bias in gender research is confounding variables: Effects of multiple variables are mixed, making it difficult to determine the true cause of effects.
Involves quantitative methods to summarize results from various studies.
Requires a common unit of measurement.
Analyzes the magnitude and consistency of results.
Moderator variable: Interacts with another variable to alter its effect.
Effect size: Indicates the strength of a relationship or difference.
Cannot conclusively determine causality.
Personal values and beliefs significantly influence research outcomes regarding gender.
Confirmation bias: Tendency to search for, interpret, and remember information in a way that confirms one’s preconceptions.
History of Western research has often assumed women's inferiority.
Variability hypothesis: Proposes that more men are found at the extremes of behaviors, creating an impression of greater variability.
Consistent gender differences identified in advanced mathematics performance across ethnicities.
Girls tend to outperform boys in school achievement metrics.
The gap in gender differences concerning mathematics is closing.
No evidence supports biologically based cognitive differences in math ability.
Brain activity patterns during math tasks are indistinguishable between genders.
Autonomy and rational thought traditionally attributed to men perpetuates stereotypes of male superiority in math/science.
Girls often exhibit lower self-confidence in math by fifth grade despite equal performance—a consequence of internalized attitudes and educational choices.
Awareness of negative stereotypes can lead to performance anxiety, hindering achievement.
Multiple stereotype threats exist, affecting varying demographics.
Strategies to alleviate stereotype threat:
Educate women about stereotype threat.
Counter negative stereotypes with positive affirmations.
Remind women of diverse aspects of their identity.
Provide positive counterexamples to stereotypes.
Spencer et al., 1999:
Hard math test showed that when informed that performance was equal, both genders scored equally; when informed men do better, men excelled.
Women performed worse when outnumbered in testing conditions.
Neuville & Croizet, 2007:
Study with 7-8 year old students revealed that girls in experimental group (depicting traditional gender roles) performed worse in math.
Greater focus needed on intellectual development for girls through diverse educational practices.
Under-prediction effect compromises women's educational opportunities leading to rejections from institutions and financial aid losses.
Statistics from 2019 on women in various professional fields:
Biology: 47.7%
Chemists: 42.5%
Environmental scientists: 33.0%
Computer programmers: 20.3% (decrease from 2015)
Industrial engineers: 24.3%
Chemical engineers: 14.4% (decrease from 2015)
Civil engineers: 13.9%
Electrical engineers: 11.6% (decrease from 2015)
Mechanical engineers: 6.6% (decrease from 8.3% in 2015)
Trends from 2011 to 2021 indicate demographic shifts in workforce representation.
Total Male, Female, White, Asian, Other, Hispanic, African American representation analyzed across years.
Traditional gender norms shape emotional expression.
Emotion Stereotypes:
Male Emotions: Anger, Contempt, Pride
Female Emotions: Awe, Disgust, Distress, etc.
Gender-Neutral Emotions: Include Amusement, Interest, Fear, etc.
Men and women differ in emotional expression and recognition, with women scoring higher in emotional intelligence, albeit with small effect sizes.
Emotional expression is predominantly universal but influenced by cultural norms.
Display rules: Norms dictating when, how, and which emotions are expressed.
Variations exist across cultural subgroups in emotional expression norms.
Distinction between independent self versus interdependent self, affecting emotional expression and experience across cultures.
Smaller gender differences in collectivist societies compared to individualistic ones.
Children learn emotional display rules through parental guidance.
Social environments dictate the consequences of emotional expression based on gender.
Girls are socialized to suppress negative emotions early on.
Emotional expression is linked to power dynamics and professional roles.
Implications of self-fulfilling prophecies based on emotional expressions.
Social expectations regarding conflict mediation in relationships often fall on women.
Men expressing anger may use it demonstratively, affecting relationship dynamics.
Emotionally restricted men report a lower quality of life.
There are significantly more similarities than differences between men and women.
There exists greater variability within each sex compared to differences between the sexes.