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Download full textAbulela, Mohammed A. A.; Harwell, Michael M. – Educational Sciences: Theory and Practice, 2020
Data analysis is a significant methodological component when conducting quantitative education studies. Guidelines for conducting data analyses in quantitative education studies are common but often underemphasize four important methodological components impacting the validity of inferences: quality of constructed measures, proper handling of…
Descriptors: Educational Research, Educational Researchers, Novices, Data Analysis
Direct linkDepaoli, Sarah; Clifton, James P.; Cobb, Patrice R. – Journal of Educational and Behavioral Statistics, 2016
A review of the software Just Another Gibbs Sampler (JAGS) is provided. We cover aspects related to history and development and the elements a user needs to know to get started with the program, including (a) definition of the data, (b) definition of the model, (c) compilation of the model, and (d) initialization of the model. An example using a…
Descriptors: Monte Carlo Methods, Markov Processes, Computer Software, Models
Furno, Marilena – Journal of Educational and Behavioral Statistics, 2011
The article considers a test of specification for quantile regressions. The test relies on the increase of the objective function and the worsening of the fit when unnecessary constraints are imposed. It compares the objective functions of restricted and unrestricted models and, in its different formulations, it verifies (a) forecast ability, (b)…
Descriptors: Goodness of Fit, Statistical Inference, Regression (Statistics), Least Squares Statistics
