Titlebook: Quantitative Psychology Research; The 78th Annual Meet Roger E. Millsap,Daniel M. Bolt,Wen-Chung Wang Conference proceedings 2015 Springer

Delectable

Assessing Differential Item Functioning in Multiple Grouping Variables with Factorial Logistic RegrIF one grouping variable at a time or combine all the grouping variables into a single grouping variable in a test without a substantial meaning. These two approaches, analogous to one-way analysis of variance (ANOVA), are less efficient than an approach that considers all the grouping variables sim

Analogy

Facilities

A Comparison of Confirmatory Factor Analysis of Binary Data on the Basis of Tetrachoric Correlationysis according to the congeneric model, the outcome does not always meet the expectations. As expected from analyzing the procedure of computing tetrachoric correlations, the data must show a high quality for achieving good results. In a simulations study it was demonstrated that such a quality coul

Pantry

,On Cronbach’s Alpha as the Mean of All Split-Half Reliabilities,plit into two halves that are equal in size. This requires that the number of items is even, since odd numbers cannot be split into two groups of equal size. In this chapter it is shown that alpha is approximately identical to the mean of all split-half reliabilities, if a test consists of an odd nu

Stress

,An Empirical Assessment of Guttman’s Lambda 4 Reliability Coefficient, is calculated by dividing the items in a test into two halves such that the covariance between scores on the two halves is as high as possible. However, although simple to understand and intuitively appealing, the method can potentially be severely positively biased if the sample size is small or t

APEX

A General Saltus LLTM-R for Cognitive Assessments,he sub-populations of subjects with different problem solving strategies, cognitive processes, or developmental stages. Bayesian estimation of the proposed model is described with an application to a test of deductive reasoning in children.

节省

碌碌之人

ineptitude

A Dependent Bayesian Nonparametric Model for Test Equating,ete shape of the score distribution may change as a function of the covariates. As a consequence, the form of the equating transformation can change according to covariate values. We discuss applications of the proposed model to real and simulated data. We conclude that our method has good performance compared to alternative approaches.

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