Response time has been regarded as an important source for investigating the relationship between human performance and response speed. It is important to examine the relationship between response time and item characteristics, especially in the perspective of the relationship between response...

The purpose of this study is to investigate the effect of cultural bias in essay topics on non-native speaker (NNS) undergraduate writing performance. To do this, this study uses the essay subsection of Florida's College Level Academic Skills Test (CLAST). Motivation for this study came from:...

The cross-validated classification accuracy of predictive discriminant analysis (PDA) and logistic regression (LR) models was compared for the two-group classification problem. Thirty-four real data sets varying in number of cases, number of predictor variables, degree of group separation,...

An information correction method for testlet-based tests is introduced in this dissertation. This method takes advantage of both generalizability theory (GT) and item response theory (IRT). The measurement error for the examinee proficiency parameter is often underestimated when a unidimensional...

Mixtures of item response theory models have been proposed as a technique to explore response patterns in test data related to cognitive strategies, instructional sensitivity, and differential item functioning (DIF). Estimation proves challenging due to difficulties in identification and...

The main purposes of this study were to systematically investigate the impact of representativeness and non-representativeness of common-item sets in terms of statistical, content, and format specifications in mixed-format tests using concurrent calibration with unidimensional IRT models, as...

An important advantage of item response theory (IRT) is increased flexibility for methods of test equating. Several methods of IRT scaling have been developed, but under the assumption of local independence of item responses, such as Haebara's linking procedure. A recent development in IRT has...

Heterogeneity in measurement model parameters across known groups can be modeled and tested using multigroup confirmatory factor analysis (CFA). When it is not reasonable to assume that parameters are homogeneous for all observations in a manifest group, mixture CFA models are appropriate....

Measuring continuous change or growth in individual students' academic abilities over time currently uses several statistical models or transformations to move from data representing a student's correct or incorrect responses on individual test items to inferences about the form and quantity of...

A multidimensional extension of the generalized graded unfolding model for repeated measures (GGUM-RM) is introduced and applied to analyze attitude change across time using responses collected by a Thurstone or Likert questionnaire. The model conceptualizes the change across time as separate...