The Gender-Equality Paradox in Chess Participation Is Partially Explained by the Generational-Shift Account but Fully Inconsistent With Existing Alternative Accounts: A Partial Concession and Reply to Napp and Breda (2023)

Napp and Breda (2023) raised three arguments against the generational-shift account of the gender-equality paradox (GEP) in chess participation. First, using finer operationalizations of the age structure of players, they showed that it partially but not fully accounts for the GEP in chess participation. I find merit in these analyses and conclusion. Second, they argued that the country-level age structure is unrelated to the GEP in chess participation, which undermines the generational-shift account of the GEP. In contrast, I provide new analyses to show that the two are related after adjusting for the U-shaped relation between gender equality and female chess participation. Finally, they argued that previous explanations of the GEP are viable for explaining the GEP in chess participation. In contrast, I argue that the global increase in the proportion of female players is incompatible with previous explanations of the GEP, and I provide new analyses to support this.

The Theoretical Model of Decision-Making Behaviour Geospatial Analysis Using Data Obtained from the Games of Chess

The game of chess offers a conducive setting to explore basic cognitive processes, including decision-making. The game exercises analytical cause-and-effect thinking skills regardless of the level of play. Moreover, chess portals provide information on the chess games played and serve as a vast database. The numbers of games played thus have the potential to be analyzed comprehensively, including for purposes other than analyzing chess matches only. The primary objective of this study is to develop a methodology for using information obtained from chess games for geospatial social analysis. The assumption is that the methodology will allow for general geographical variation in personality inference in the future, relying on big data from chess databases. Future large-scale studies of the geographical differentiation of personality traits using the developed methodology may be applicable in a number of ways. The results can be used wherever cross-sectional social analyses are needed in the context of personality traits (decision-making) to better understand their geographical background. In turn, the geographical distribution of these traits is accompanied by a range of important social, educational, health, political and economic implications.

Samantha Green vs. Peter Stevens: Reversed Gender Stereotype Threat in Online Chess

Previous studies have shown that exposure to gender stereotypes has a detrimental impact on women’s performance. In chess, it has been demonstrated that the performance level of women is negatively influenced when they are exposed to negative stereotypes about their ability to play chess. However, it is still largely unclear whether the influence of a negative stereotype of women’s ability to play chess is only limited to their level of performance, or whether it could also affect their opponent’s performance. The present study investigated this reversed stereotype threat in online chess playing an unrated game. It was expected that a chess player’s performance would be influenced by the gender of their opponent. However, the participants’ online opponent was neither a female nor male chess player, but rather, unknown to the participants, it was a computer program that either played with a male or female nickname. The results showed that participants who played against a female nickname played less well, lost more games, and made more mistakes and blunders than participants who played against a male nickname. In sum, findings indicate that, in chess, the influence of a gender stereotype is not limited to the group the stereotype is targeted at, but also reduces the performance of the opponent’s level of play, leading to a reversed stereotype threat.

Queen's Gambit Declined: The Gender-Equality Paradox in Chess Participation Across 160 Countries

The gender-equality paradox refers to the puzzling finding that societies with more gender equality demonstrate larger gender differences across a range of phenomena, most notably in the proportion of women who pursue degrees in science, technology, engineering, and math. The present investigation demonstrates across two different measures of gender equality that this paradox extends to chess participation (N = 803,485 across 160 countries; age range: 3-100 years), specifically that women participate more often in countries with less gender equality. Previous explanations for the paradox fail to account for this finding. Instead, consistent with the notion that gender equality reflects a generational shift, mediation analyses suggest that the gender-equality paradox in chess is driven by the greater participation of younger players in countries with less gender equality. A curvilinear effect of gender equality on the participation of female players was also found, demonstrating that gender differences in chess participation are largest at the highest and lowest ends of the gender-equality spectrum.

Men, women and STEM: Why the differences and what should be done?

It is a well-known and widely lamented fact that men outnumber women in a number of fields in STEM (science, technology, engineering and maths). The most commonly discussed explanations for the gender gaps are discrimination and socialization, and the most common policy prescriptions target those ostensible causes. However, a great deal of evidence in the behavioural sciences suggests that discrimination and socialization are only part of the story. The purpose of this paper is to highlight other aspects of the story: aspects that are commonly overlooked or downplayed. More precisely, the paper has two main aims. The first is to examine the evidence that factors other than workplace discrimination contribute to the gender gaps in STEM. These include relatively large average sex differences in career and lifestyle preferences, and relatively small average differences in cognitive aptitudes – some favouring males, others favouring females – which are associated with progressively larger differences the further above the average one looks. The second aim is to examine the evidence suggesting that these sex differences are not purely a product of social factors but also have a substantial biological (i.e. inherited) component. A more complete picture of the causes of the unequal sex ratios in STEM may productively inform policy discussions.

Kinds of individuals defined by patterns of variables

This paper argues that investigators should consider replacing the popular practice of comparing individuals varying in gender, social class, and/or ethnicity on one or more continuous measures with a search for kinds of individuals defined by patterns of properties that include not only their values on outcome measures but also their gender, social class, and ethnicity. Investigators who believe that a particular predictor contributes to an outcome independent of the gender, class, or ethnicity of the participants often implement statistical procedures that promise to remove the contributions of the above categories. These analyses lead to misleading conclusions when the controlled category is correlated with the dependent measures. The final sections summarize the properties of genders, classes, and ethnic groups that make distinctive contributions to many psychological outcomes. The paper ends by noting that a society's ethical beliefs constitute a defensible basis for ignoring the biological properties associated with these categories in order to allow members of these groups access to whatever educational or occupational goals they desire.