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Zhuang, Jie; Chen, Peijie; Wang, Chao; Huang, Liang; Zhu, Zheng; Zhang, Wenjie; Fan, Xiang – Research Quarterly for Exercise and Sport, 2013
Purpose: The purpose of this study was to investigate the characteristics of missing physical activity (PA) data of children and youth. Method: PA data from the Chinese City Children and Youth Physical Activity Study ("N" = 2,758; 1,438 boys and 1,320 girls; aged 9-17 years old) were used for the study. After the data were sorted by the…
Descriptors: Physical Activities, Error of Measurement, Statistical Data, Gender Differences
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Martin, Andrew J.; Wilson, Rachel; Liem, Gregory Arief D.; Ginns, Paul – Journal of Higher Education, 2014
In the context of "academic momentum," a longitudinal study of university students (N = 904) showed high school achievement and ongoing university achievement predicted subsequent achievement through university. However, the impact of high school achievement diminished, while additive effects of ongoing university achievement continued.…
Descriptors: Foreign Countries, College Students, Longitudinal Studies, Academic Achievement
Morrisson, Christian; Murtin, Fabrice – Centre for the Economics of Education (NJ1), 2009
Global economic transformations have never been as dramatic as in the twentieth century. Most countries have experienced radical changes in the standards of income per capita, technology, fertility, mortality, income inequality and the extent of democracy in the course of the past century. It is the goal of many disciplines--economics, history,…
Descriptors: Economic Development, Educational Attainment, Demography, Global Approach
Jensen, Arthur R. – 1979
The uses of data on siblings for educational and psychological research purposes are explained. Examples are based on empirical data. Five types of research problems, using sibling data, are explored: (1) statistical control of family background variance in psychological or educational studies which use analysis of covariance (ANCOVA) or multiple…
Descriptors: Age Differences, Analysis of Covariance, Cognitive Measurement, Correlation