This collection holds the research, scholarship, and creative works of Applied Statistics and Research Methods students. It includes content such as dissertations, theses, capstones, presentations, and more.
This collection is automatically populated through other Student Work collections. For your work to be added to this collection, submit your work to the appropriate Student Work collection or contact the administrator.
Dissertations from 2023
An Adaptive Deep Learning for Causal Inference Based on Support Points With High-Dimensional Data, Lynda Aouar
A Bayesian Approach to Unit Lindley Mixed Model, Nirajan Bam
Multivariate Hierarchical Generalized Linear Model for Intensive Longitudinal Data With Incorporation of Outcome Variability As a Predictor, Maryam Skafyan
Dissertations from 2022
An Efficient Computational Method for Causal Inference in High-Dimensional Data: Neighborhood-Based Cross Fitting, Oluwagbenga David Agboola
An Ensemble Machine Learning Approach To Causal Inference in High-Dimensional Settings, Sami Saad Alanazi
Toeplitz Matrix-Based Goodness of Fit Test Statistics for Vector Autoregressive Moving Average Models, Hanadi Yahia Alomari
“I Just Want to Play”: Methodological Considerations For Including Older Adults in Co-creation of Research With A Focus on the Meaning of Activity for Residents of a 55+ Active Adult Master Planned Community, Becky Alice De Oliveira
The Impact of Rater Effects on Decision Consistency And Decision Accuracy Under the Many-Facet Rasch Measurement Framework, Haussohou Daniel Edi
Law Enforcement Efficacy in Domestic Violence Calls Based on the Responding Officer’s Experience, Training, and Scholarly Level, Idilio Moncivais Pinedo
Bayesian Joint Modeling for Longitudinal Outcomes of Exponential Families And Informative Time Points, Michael Safo Oduro
Developing and Assessing the Psychometric Properties Of a Multidimensional College Mental Health Assessment Inventory: A Mixed-Methods Study, John Sylvester
Dissertations from 2021
BAYESIAN APPROACH TO THE MIXTURE OF GAUSSIAN RANDOM FIELDS AND ITS APPLICATION TO AN FUNCTIONAL MAGNETIC RESONANCE IMAGING STUDY, Mozhdeh Forghaniarani
SMALL SAMPLE PERFORMANCE OF BAYESIAN CONFIRMATORY FACTOR ANALYSIS IN THE PRESENCE OF MISSING DATA, Kevin Benedict Gittner
Development of a New Foot and Ankle Activity Level Instrument Using The Rasch Model for Orthopaedic Clinical Application, Lauren M. Matheny
On the Development of the Self Starting Double Multivariate Exponentially Weighted Moving Average And Covariance Control Chart, Robert Eugene Resch
Applying Bayesian Growth Modeling In Machine Learning For Longitudinal Data, Alisa Udomvisawakul
Dissertations from 2020
Nonparametric Approach to Multivariate Analysis of Variance (Manova) Using Density-Based Kernel Methods, Hend Aljobaily
Time Series for the Boolean Random Sets, Kofi Kermah Wagya
Bayesian Approach of Joint Models of Longitudinal Outcomes and Informative Time, Adbullah Ahmed Zaagan
An Intensive Longitudinal Functional Lineary Model with Multiple Time Scales, Mostafa Zahed
Dissertations from 2019
A Cumulative Summation Nonparametric Multiple Stream Process Control Chart Based on the Extended Median Test, Austin R. Brown
Methodological Considerations for Researching Hidden-Populations With an Emphasis on Homeless Research Sampling Methods, Tyler William Kincaid
Model Selection for Longitudinal Data With Time-Dependent Covariates Using Generalized Method of Moments, Maryann Nishimura Shane
Dissertations from 2018
Robustness of Rasch Fit Statistics in Dichotomous and Rating Scale Data, Samantha Estrada Aguilera
On the Small Count Inflated Poisson Distribution, Michael Floren
A Methodological Review of the Cross-Cultural Ethical Dilemmas That Exist Within the Informed Consent Process: When Ethical Considerations in Human Research Differ, Suzanne Victoria Landram
Power Comparisons of the Rician and Gaussian Random Fields Tests for Detecting Signal from Functional Magnetic Resonance Images, Hasni Idayu Binti Saidi
Dissertations from 2017
Generalized Partial Least Squares Approach for Nominal Multinomial Logit Regression Models with a Functional Covariate, Amani Mohammed H Albaqshi
A First-Order Autoregressive Hurdle Poisson Model, Gadir Abdulaziz Alomair
A Joint Model of Longitudinal Data and Informative Time with Time-Dependent Covariate, Mohammad Abdullatif Alomair
Double Exponentially Weighted Moving Average Control Chart for the Individual Based on a Linear Prediction, Rafael Alberto Perez Abreu Carrion
Power Analysis of Longitudinal Data with Time-Dependent Covariates Using Generalized Method of Moments, Niloofar Ramezani
Estimating Bias in Multilvel Reliability Coefficients: A Monte Carlo Simulation, Karen Traxler
Dissertations from 2016
The Bayesian Method of Estimation for the Number of Latent Classes in Growth Mixture Models, Chittanun Sitthisan
Unbiasedness of Prediction under Linex Loss Function in Autoregressive Moving Average Models, Jin-Rong Yang
Dissertations from 2015
Modeling Arbitrarily Interval-Censored Survival Data with External Time-Dependent Covariates, Wei Fang
Project Success: A Methodological and Evaluative Case Study of The Early Alert Program Interventions, Randy James Larkins
Joint Models of Longitudinal Outcomes and Informative Time, JangDong Seo
Dissertations from 2014
Exponentiality Test Using a Modified Lilliefors Test, Achut Prasad Adhikari
Study of statistical efficiency on the effects of non-compliant reporting and item list size from the indirect questioning techniques: random response and non-random response models, Caroline Bublitz Emsermann
Generalized method of moments approach for spatial-temporal binary data, Kimberly Ann Kaufeld
Dissertations from 2013
Adjusted variance components for unbalanced clustered binary data models, Intesar N. Abdoslam
Bayesian estimation of the fractal dimension index of fractional Brownian motion, Chen-Yueh Chen
Assessing sensitivity of Early Head Start study findings to manipulated randomization threats, Sheridan Green
Goodness of fit statistics for mixed effect logistic regression models, Jalal Abdalla Saaid
Double truncated poisson regression model with random effects, Abdalhalim M. Ali Suaiee
Affine invariant signed-rank multivariate exponentially weighted moving average control chart for process location monitoring, Jamil H. Zeinab
Dissertations from 2011
Evaluation of the performance of a random coefficient regression model cumulative summation control chart under varying model conditions: with human services applications, Christopher John McKinney
Comparison of multivariate methods for measuring change from pretest to posttest, Justin Leslie Rogers
Dissertations from 2009
Joint model of a longitudinal process and informative time schedule data, Michael Bronsert
Functioning of global fit statistics in latent growth curve modeling, Kathryn K. DeRoche
Sensitivity comparisons and average run lengths of the MEWMS and MEWMV control charts using individual observations with singular mean shifts and variance changes, Chad Edgar Eshelman
Comparison of three computational procedures for solving the number of factors problem in exploratory factor analysis, Adam Vincent Piccone
Voices of striving elementary readers: an exploration of the enhancement of struggling reader research through portraiture methodology, Roland Kerry Schendel