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Draxler, Clemens – Educational Research and Evaluation, 2011
This article discusses the application of logit models for the analyses of 2-way categorical observations. The models described are generalized linear models using the logit link function. One of the models is the Rasch model (Rasch, 1960). The objective is to test hypotheses of marginal and conditional independence between explanatory quantities…
Descriptors: Models, Item Response Theory, Educational Research, Hypothesis Testing
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Kubinger, Klaus D.; Rasch, Dieter; Yanagida, Takuya – Educational Research and Evaluation, 2011
Though calibration of an achievement test within psychological and educational context is very often carried out by the Rasch model, data sampling is hardly designed according to statistical foundations. However, Kubinger, Rasch, and Yanagida (2009) recently suggested an approach for the determination of sample size according to a given Type I and…
Descriptors: Sample Size, Simulation, Testing, Achievement Tests
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Chang, Mido; Choi, Namok; Kim, Sunha – Educational Research and Evaluation, 2015
The goal of the study was to provide empirical findings on the effects of different types of parents' school involvement (PSI) on their children's mathematics performance. For PSI, we explored parent participation in parent-teacher conferences, voluntary parental involvement in school activities, parent informal contact with school or teachers,…
Descriptors: Mathematics Achievement, Parent Participation, Parent School Relationship, Minority Group Students
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Sivo, Stephen; Fan, Xitao – Educational Research and Evaluation, 2008
Autocorrelated residuals in longitudinal data are widely reported as common to longitudinal data. Yet few, if any, researchers modeling growth processes evaluate a priori whether their data have this feature. Sivo, Fan, and Witta (2005) found that not modeling autocorrelated residuals present in longitudinal data severely biases latent curve…
Descriptors: Longitudinal Studies, Models, Data Analysis, Correlation