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McNeish, Daniel; Harring, Jeffrey R. – Educational and Psychological Measurement, 2017
To date, small sample problems with latent growth models (LGMs) have not received the amount of attention in the literature as related mixed-effect models (MEMs). Although many models can be interchangeably framed as a LGM or a MEM, LGMs uniquely provide criteria to assess global data-model fit. However, previous studies have demonstrated poor…
Descriptors: Growth Models, Goodness of Fit, Error Correction, Sampling
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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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Hsieh, Chueh-An; Maier, Kimberly S. – International Journal of Research & Method in Education, 2009
The capacity of Bayesian methods in estimating complex statistical models is undeniable. Bayesian data analysis is seen as having a range of advantages, such as an intuitive probabilistic interpretation of the parameters of interest, the efficient incorporation of prior information to empirical data analysis, model averaging and model selection.…
Descriptors: Equal Education, Bayesian Statistics, Data Analysis, Comparative Analysis
Becker, Henry Jay – 1978
Most measurements of racial and ethnic segregation, particularly comparative analyses across cities, have relied on the Index of Dissimilarity ("D"). Recently, however, it has been demonstrated that cities with different racial compositions also have different expected values of "D" under a random distribution of whites and…
Descriptors: Comparative Analysis, Data Analysis, Integration Studies, Measurement Instruments
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
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Lowe, Eugene T.; Taylor, William L. – 1977
This report presents a detailed picture of trends in the segregation of Hispanic children in American urban public schools from 1970 to 1974. A companion volume reports on trends in black school segregation from 1970 to 1974. This volume shows both the broad regional and national trends of segregation of the nation's second largest minority group,…
Descriptors: Data Analysis, Demography, Geographic Regions, Public Schools
United Nations Educational, Scientific, and Cultural Organization, Paris (France). – 1972
A series of methods and techniques for measuring educational wastage are presented step-by-step. Some considerations on the conceptual framework of this problem in statistical terms are presented, and tentative definitions for certain terms are also given. Examples taken from published material and recent surveys showing the extent of grade…
Descriptors: Bibliographies, Case Studies, Data Analysis, Dropouts
Guthrie, James; And Others – 1968
The central purpose of this study was to examine the relationship between distribution of teaching talent and geographic location of local school districts of California. School districts were assigned to one of four geographic categories (urban, suburban, rural, or small urban centers). Each category's teaching talent was assessed on six measures…
Descriptors: Comparative Analysis, Data Analysis, Educational Opportunities, Educationally Disadvantaged
Upjohn (W.E.) Inst. for Employment Research, Kalamazoo, MI. – 1982
Social statistics may exaggerate the degree of hardship caused by labor market problems. Yet, in many ways social statistics underestimate the degree of hardship caused by extended unemployment, underemployment, and low wages. Therefore, new measures are needed to reassess long-term and cyclical labor market developments, the changing status of…
Descriptors: Business Cycles, Data Analysis, Economically Disadvantaged, Employment Patterns