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Clemens Draxler; Andreas Kurz; Can Gürer; Jan Philipp Nolte – Journal of Educational and Behavioral Statistics, 2024
A modified and improved inductive inferential approach to evaluate item discriminations in a conditional maximum likelihood and Rasch modeling framework is suggested. The new approach involves the derivation of four hypothesis tests. It implies a linear restriction of the assumed set of probability distributions in the classical approach that…
Descriptors: Inferences, Test Items, Item Analysis, Maximum Likelihood Statistics

Klingsporn, M. J. – Journal of Educational and Behavioral Statistics, 2000
Proposes a procedure for testing hypotheses regarding the dispersion of responses distributed over taxa that uses the distribution of the number of cells that are empty or are singly occupied. Presents a table showing the number of cases needed to achieve 0.10, 0.05, and 0.01 significance for excessive numbers of empty cells. (SLD)
Descriptors: Hypothesis Testing, Responses, Statistical Distributions