Sex and Gender Comparisons
Does Null Hypothesis Testing Create a False Dichotomy
Bibliographic Data
| ID | 12260417 |
|---|---|
| Authors | Olga Eizner Favreau (Université de Montréal, corresponding author) |
| Year | 1997 |
| Volume | 7 |
| Issue | 1 |
| Pages | 63-81 |
| Publication date | 1997-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Feminism & Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0959-3535 • E-ISSN: 1461-7161 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0959353597071010 |
| OpenAlex | W2032125456 |
| Language | EN |
| Citations received | 7 |
| References cited | 60 |
In an ongoing debate about the value of doing tests for sex differences, those in favour claim that if sex differences exist, it is important to know about them. However, the null hypothesis (NH) tests that are used for inferring group differences can detect only mean differences and provide no information about how the differences are distributed across groups. Theoretical and empirical examples show how NH rejection can occur when only a small proportion of individuals differ from all others, demonstrating that these tests are incapable of supporting inferences to general group differences. This forces a reevaluation of sex difference research which has been interpreted as distinguishing males from females in general, particularly where inferences have been to general biological factors. However, even knowing the limitations of these tests may not lead to more judicious interpretations in the context of an androcentric culture which dichotomizes the sexes
Alternative hypothesis · Biology · Context (archaeology · Econometrics · Null (SQL · Null hypothesis · Statistical hypothesis testing · Statistics · Value (mathematics · Evolutionary Psychology and Human Behavior · Mathematics · Psychology · Race, Genetics, and Society · Social and Intergroup Psychology · Social Psychology
The Psychology of gender
The Lenses of Gender
Exploratory data analysis
Constructing the Subject
Sex Differences in Social Behavior
Theoretical risks and tabular asterisks
Sex Differences in Mathematical Ability
The Case Against Statistical Significance Testing
The adaptive nature of human categorization.
Sex differences in mathematical reasoning ability in intellectually talented preadolescents
Significance Tests Die Hard
Methodological issues in the study of sex-related differences
A tale of two tails
Magnitude of psychological gender differences
Issues to consider in conducting nonsexist psychological research
The additive effects of differences in central tendency and variability are important in comparisons between groups
Should we stop studying sex differences altogether
Magnitude of psychological gender differences
Sex-related differences in spatial ability
On the advantages of reporting sex comparisons
The science and politics of comparing women and men
A tale of two tails
Heterogeneity of variance in experimental studies
The earth is round (p < .05)
IV. Asking the Right Questions
II. On Comparing Women and Men
I. Should Psychologists Study Gender Differences? Yes, with Some Guidelines
V. Beyond Sex Differences
Will the Real Sex Difference Please Stand Up
The Mismeasure of Woman
Should Psychologists Study Sex Differences
III. Stereotypes, Science, Censorship, and the Study of Sex Differences
Gender Differences in Depressive Symptoms
Rough and tumble play
How large are gender differences in aggression? A developmental meta-analysis
Statistical procedures and the justification of knowledge in psychological science
Things I have learned (so far)
Reporting sex differences
How large are cognitive gender differences? A meta-analysis using !w2 and d
Analysis of response time distributions
The meaning of difference
The test of significance in psychological research
A new perspective on women's math achievement
The unicorn, the normal curve, and other improbable creatures
Gender differences in mathematics performance
When small effects are impressive
A common language effect size statistic
Social Forces Shape Math Attitudes and Performance
| Unique citing works | 7 |
|---|---|
| Citations per year | 0,26 |
| Citation span | 1999 - 2015 (17) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 7 |