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McNeish, Daniel – Review of Educational Research, 2017
In education research, small samples are common because of financial limitations, logistical challenges, or exploratory studies. With small samples, statistical principles on which researchers rely do not hold, leading to trust issues with model estimates and possible replication issues when scaling up. Researchers are generally aware of such…
Descriptors: Models, Statistical Analysis, Sampling, Sample Size
Saven, Jessica L.; Anderson, Daniel; Nese, Joseph F. T.; Farley, Dan; Tindal, Gerald – Journal of Special Education, 2016
Students with significant cognitive disabilities are eligible to participate in two statewide testing options for accountability: alternate assessments or general assessments with appropriate accommodations. Participation guidelines are generally quite vague, leading to students "switching" test participation between years. In this…
Descriptors: Intellectual Disability, Student Participation, State Surveys, Alternative Assessment
MacCallum, Robert C.; Browne, Michael W.; Cai, Li – Psychological Methods, 2006
For comparing nested covariance structure models, the standard procedure is the likelihood ratio test of the difference in fit, where the null hypothesis is that the models fit identically in the population. A procedure for determining statistical power of this test is presented where effect size is based on a specified difference in overall fit…
Descriptors: Testing, Models, Statistical Analysis, Research Methodology

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