This dissertation investigated the use of various techniques in modeling non-linear change in the context of latent growth modeling. A simulation study was conducted utilizing four between subjects factors: sample size (50, 75, 100, 150, 200, 300 and 500), slope variance (.15, .45 and .75),...

Assessing IRT model-fit and comparing different IRT models from a Bayesian perspective is gaining attention. This research evaluated the performance of Bayesian model-fit and model-comparison techniques in assessing the fit of unidimensional Graded Response (GR) models and comparing different GR...

Purpose: The purpose of this paper is to study the effect of second generation involvement on corporate innovation in Chinese family firms. Design/methodology/approach: Based on the manually collected sample of listed Chinese family firms from 2003 to 2014, the study empirically examines the...

This study aimed to compare the efficiencies of multi-dimensional CAT versus uni-dimensional CAT based on the multi-dimensional graded response model and provide information about the optimal size of the item pool. Item selection and ability estimation methods based on multi-dimensional graded...

One of the sources of inaccuracy in parameter estimates of multilevel models is omitted variable bias, caused by the omission of an important predictor. The purpose of this study was to examine the performance of six estimation procedures in estimating the fixed effects when a level-2...

The purpose of this study was to investigate the performance of Beaton~{!/~}s MR and MSR fit indices for assessing goodness-of-fit of IRT models. These statistics are based on a standardized residual calculated from an expected and observed response. The investigation was conducted using a Monte...

This study investigated the effects of correlatederrors on the person x occasion design in which theconfounding effect of equal time intervals results incorrelated error terms in the linear model. Two specificerror correlation structures were examined: thefirst-order stationary autoregressive...