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Xiang, Ping; McBride, Ron E.; Lin, Shuqiong; Gao, Zan; Francis, Xueying – Journal of Experimental Education, 2018
Two hundred forty-six students (132 boys, 114 girls) were tracked from fifth to eighth grades, and changes in gender stereotypes about running as a male sport, running performance, interest in running, and intention for future running participation were assessed. Results revealed that neither sex held gender stereotypes about running as a male…
Descriptors: Physical Activities, Sex Stereotypes, Sex Role, Student Interests
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Farley, Julee P.; Kim-Spoon, Jungmeen – Journal of Early Adolescence, 2017
Using two waves of longitudinal data, we utilized the family stress model of economic hardship to test whether family socioeconomic status is related to adolescent adjustment (substance use and academic achievement) through parental knowledge and adolescent self-regulation (behavioral self-control and delay discounting). Participants included 220…
Descriptors: Child Rearing, Adolescents, Socioeconomic Status, Family Characteristics
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Kopystynska, Olena; Spinrad, Tracy L.; Seay, Danielle M.; Eisenberg, Nancy – Developmental Psychology, 2016
The goal of this work was to examine the complex interrelation of mothers' early gentle control and sensitivity in predicting children's effortful control (EC) and academic functioning. Maternal gentle control, maternal sensitivity, and children's EC were measured when children were 18, 30, and 42 months of age (T1, T2, and T3, respectively), and…
Descriptors: Mothers, Child Rearing, Self Control, Young Children
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McIntosh, James; Munk, Martin D. – Scandinavian Journal of Educational Research, 2014
Latent class Poisson count models are used to analyse a sample of Danish test score results from a cohort of individuals born in 1954-1955, tested in 1968, and followed until 2011. The procedure takes account of unobservable effects as well as excessive zeros in the data. We show that the test scores measure manifest or measured ability as it has…
Descriptors: Foreign Countries, Scores, Multivariate Analysis, Cohort Analysis