Sex differences in social development.

2010 ◽  
pp. 321-343 ◽  
Author(s):  
David C. Geary
Keyword(s):  
Sex Differences ◽  
Social Development

Japanese macaques (Macaca fuscata) social development: Sex differences in Juvenile behavior

Primates ◽  
1986 ◽  
Vol 27 (2) ◽  
pp. 141-150 ◽  
Author(s):  
G. Gray Eaton ◽  
Deanne F. Johnson ◽  
Barbara B. Glick ◽  
Julie M. Worlein
Keyword(s):  
Sex Differences ◽  
Social Development ◽  
Macaca Fuscata ◽  
Japanese Macaques ◽  
Juvenile Behavior

scholarly journals Boys and Girls on the Playground: Sex Differences in Social Development Are Not Stable across Early Childhood

PLoS ONE ◽  
2011 ◽  
Vol 6 (1) ◽  
pp. e16407 ◽  
Author(s):  
Stéphanie Barbu ◽  
Guénaël Cabanes ◽  
Gaïd Le Maner-Idrissi
Keyword(s):  
Early Childhood ◽  
Sex Differences ◽  
Social Development

Voices from the Classroom: Academic and Social Self-Concepts of Gifted Adolescents

1988 ◽  
Vol 11 (3) ◽  
pp. 3-18 ◽  
Author(s):  
Janice A. Leroux
Keyword(s):  
Sex Differences ◽  
Secondary Schools ◽  
Social Development ◽  
Case Studies ◽  
Gifted Students ◽  
Research Data ◽  
Social Self ◽  
Total Group ◽  
Highly Sensitive ◽  
Gifted Adolescents

Research data from sixty adolescents identified as gifted students in secondary schools provided insights into their educational, emotional and social development. Both females and males were highly sensitive to societal pressures. External influences of adults were perceived more strongly by females, while influences of friends and peers were perceived more strongly by males. Case studies of one female and one male show sex differences representative of the total group of respondents.

Interrelationships of factors of social development are more complex than Life History Theory predicts

2019 ◽  
Vol 42 ◽  
Author(s):  
Boris Kotchoubey
Keyword(s):  
Life History ◽  
Social Development ◽  
Life History Theory ◽  
Strong Correlations ◽  
Behavioral Features

Abstract Life History Theory (LHT) predicts a monotonous relationship between affluence and the rate of innovations and strong correlations within a cluster of behavioral features. Although both predictions can be true in specific cases, they are incorrect in general. Therefore, the author's explanations may be right, but they do not prove LHT and cannot be generalized to other apparently similar processes.

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