Browsing Theses and Dissertations (MU) by Thesis Advisor "Wood, Phillip K. (Phillip Karl)"
Now showing items 1-9 of 9
-
Analysis of affective instability on ecological momentary assessments data: successive difference, variance decomposition, and mean comparison via multilevel modeling
(University of Missouri--Columbia, 2007)Temporal instability of affect is a defining characteristic of some psychological disorders such as Borderline Personality Disorder and mood cycling disorders. Use of Ecological Momentary Assessments (EMA) enables researchers ... -
Bayesian random intercept slope factor model for longitudinal twin data
(University of Missouri--Columbia, 2013)The Random Intercept (RI) factor model is proposed as an alternative to traditional genetic factor models for the analysis of longitudinal twin data. This model constitutes a more factorially complex alternative to the ... -
Decomposing individual and group differences of categorical variables with genetic factor model
(University of Missouri--Columbia, 2007)The method of decomposing individual and group differences on ordered categorical variables into genetic and environmental factors is introduced. Although the genetic factor model is used to identify the relative contributions ... -
A factor structure with means confirmatory factor analytic approach to multitrait-multimethod models
(University of Missouri--Columbia, 2007)A factor structure with means (FSM) approach to multitrait - multimethod (MTMM) models is proposed in an attempt to remedy identification problems inherent in traditional approaches. In an example data set, FSM models with ... -
Hybrid logistic and confined exponential growth models : estimation using SEM software
(University of Missouri--Columbia, 2019)The logistic and confined exponential curves represent growth over time in various contexts such as learning and technology transfer. Logistic growth operates as a contagion process in a population of interest, while the ... -
A longitudinal behavior genetic model for ordered categorical variables
(University of Missouri--Columbia, 2011)A model for the analysis of longitudinal twin data consisting of ordered categorical variables was proposed. Proportional changes in response categories across time were modeled within growth curve by means of mean and ... -
Multilevel models for intensive longitudinal data with heterogeneous error structure : covariance transformation and variance function models
(University of Missouri--Columbia, 2008)Recent developments in data collection methods in the behavioral and social sciences, such as Ecological Momentary Assessment (EMA) enables researchers to gather intensive longitudinal data (ILD) and to examine more detailed ... -
Psychometric dynamic factor models for the analysis of longitudinally intensive data
(University of Missouri--Columbia, 2013)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Dynamic factor model (DFM), a factor analytic approach developed for the analysis of intra-individual time series data, can be estimated using common ... -
Using nested structures to select models for developmental trajectories of cognitive abilities in adulthood
(University of Missouri--Columbia, 2010)Change over time can be modeled through a variety of statistical techniques including, but not limited to, linear or quadratic slope-intercept (SI), repeated-measures MANOVA, and single-factor growth models. Choice of ...