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Zhang, Zhiyong – Grantee Submission, 2016
Growth curve models are widely used in social and behavioral sciences. However, typical growth curve models often assume that the errors are normally distributed although non-normal data may be even more common than normal data. In order to avoid possible statistical inference problems in blindly assuming normality, a general Bayesian framework is…
Descriptors: Bayesian Statistics, Models, Statistical Distributions, Computation
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Jozwiak, Katarzyna; Moerbeek, Mirjam – Journal of Educational and Behavioral Statistics, 2012
Studies on event occurrence aim to investigate if and when subjects experience a particular event. The timing of events may be measured continuously using thin precise units or discretely using time periods. The latter metric of time is often used in social science research and the generalized linear model (GLM) is an appropriate model for data…
Descriptors: Statistical Analysis, Time, Sample Size, Social Science Research
Strange, Marty; Johnson, Jerry; Showalter, Daniel; Klein, Robert – Rural School and Community Trust, 2012
"Why Rural Matters 2011-12" is the sixth in a series of biennial reports analyzing the contexts and conditions of rural education in each of the 50 states and calling attention to the need for policymakers to address rural education issues in their respective states. While it is the sixth in a series, this report is not simply an…
Descriptors: Rural Schools, Rural Education, Educational Policy, Annual Reports
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Mertz, Norma T. – Urban Education, 2006
Using statistical data collected during a 30-year period, the article reports on the significant movement of females into all of the line administrative positions in the largest school districts in the country (by student population) since the passage of Title IX with one notable exception, that of superintendent. The position of superintendent…
Descriptors: Longitudinal Studies, Gender Issues, Urban Schools, School Administration