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.

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Dissertations from 2024

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Performance of Shared Parameter Missing Data Models for Intensive Longitudinal Data, Justin Harding

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Comparison of Bayesian Versus Maximum Likelihood Estimation in the Case Of Unbalanced Panels with Count Data, Bryan Hudson

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A Mixed Methods Evaluation of Three Quantitative Approaches for Examining Persistence, Angela J. Rockwell

Dissertations from 2023

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An Adaptive Deep Learning for Causal Inference Based on Support Points With High-Dimensional Data, Lynda Aouar

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A Bayesian Approach to Unit Lindley Mixed Model, Nirajan Bam

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Multivariate Hierarchical Generalized Linear Model for Intensive Longitudinal Data With Incorporation of Outcome Variability As a Predictor, Maryam Skafyan

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The Effect of Parceling on the Measurement Invariance of Us Students’ Trends in International Mathematics And Science Study (Timss) 2015 Math Attitude Scores, Kritika Thapa

Dissertations from 2022

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An Efficient Computational Method for Causal Inference in High-Dimensional Data: Neighborhood-Based Cross Fitting, Oluwagbenga David Agboola

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An Ensemble Machine Learning Approach To Causal Inference in High-Dimensional Settings, Sami Saad Alanazi

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Toeplitz Matrix-Based Goodness of Fit Test Statistics for Vector Autoregressive Moving Average Models, Hanadi Yahia Alomari

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“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

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The Impact of Rater Effects on Decision Consistency And Decision Accuracy Under the Many-Facet Rasch Measurement Framework, Haussohou Daniel Edi

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Law Enforcement Efficacy in Domestic Violence Calls Based on the Responding Officer’s Experience, Training, and Scholarly Level, Idilio Moncivais Pinedo

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Bayesian Joint Modeling for Longitudinal Outcomes of Exponential Families And Informative Time Points, Michael Safo Oduro

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Developing and Assessing the Psychometric Properties Of a Multidimensional College Mental Health Assessment Inventory: A Mixed-Methods Study, John Sylvester

Dissertations from 2021

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BAYESIAN APPROACH TO THE MIXTURE OF GAUSSIAN RANDOM FIELDS AND ITS APPLICATION TO AN FUNCTIONAL MAGNETIC RESONANCE IMAGING STUDY, Mozhdeh Forghaniarani

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SMALL SAMPLE PERFORMANCE OF BAYESIAN CONFIRMATORY FACTOR ANALYSIS IN THE PRESENCE OF MISSING DATA, Kevin Benedict Gittner

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Development of a New Foot and Ankle Activity Level Instrument Using The Rasch Model for Orthopaedic Clinical Application, Lauren M. Matheny

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On the Development of the Self Starting Double Multivariate Exponentially Weighted Moving Average And Covariance Control Chart, Robert Eugene Resch

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Applying Bayesian Growth Modeling In Machine Learning For Longitudinal Data, Alisa Udomvisawakul

Dissertations from 2020

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Nonparametric Approach to Multivariate Analysis of Variance (Manova) Using Density-Based Kernel Methods, Hend Aljobaily

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Time Series for the Boolean Random Sets, Kofi Kermah Wagya

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Bayesian Approach of Joint Models of Longitudinal Outcomes and Informative Time, Adbullah Ahmed Zaagan

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An Intensive Longitudinal Functional Lineary Model with Multiple Time Scales, Mostafa Zahed

Dissertations from 2019

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A Cumulative Summation Nonparametric Multiple Stream Process Control Chart Based on the Extended Median Test, Austin R. Brown

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Methodological Considerations for Researching Hidden-Populations With an Emphasis on Homeless Research Sampling Methods, Tyler William Kincaid

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Model Selection for Longitudinal Data With Time-Dependent Covariates Using Generalized Method of Moments, Maryann Nishimura Shane

Dissertations from 2018

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Robustness of Rasch Fit Statistics in Dichotomous and Rating Scale Data, Samantha Estrada Aguilera

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On the Small Count Inflated Poisson Distribution, Michael Floren

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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

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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

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Generalized Partial Least Squares Approach for Nominal Multinomial Logit Regression Models with a Functional Covariate, Amani Mohammed H Albaqshi

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A First-Order Autoregressive Hurdle Poisson Model, Gadir Abdulaziz Alomair

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A Joint Model of Longitudinal Data and Informative Time with Time-Dependent Covariate, Mohammad Abdullatif Alomair

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Double Exponentially Weighted Moving Average Control Chart for the Individual Based on a Linear Prediction, Rafael Alberto Perez Abreu Carrion

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Power Analysis of Longitudinal Data with Time-Dependent Covariates Using Generalized Method of Moments, Niloofar Ramezani

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Estimating Bias in Multilvel Reliability Coefficients: A Monte Carlo Simulation, Karen Traxler

Dissertations from 2016

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The Bayesian Method of Estimation for the Number of Latent Classes in Growth Mixture Models, Chittanun Sitthisan

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Unbiasedness of Prediction under Linex Loss Function in Autoregressive Moving Average Models, Jin-Rong Yang

Dissertations from 2015

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Modeling Arbitrarily Interval-Censored Survival Data with External Time-Dependent Covariates, Wei Fang

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Project Success: A Methodological and Evaluative Case Study of The Early Alert Program Interventions, Randy James Larkins

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Testing for Two Signals with Unknown Locations in Functional Magnetic Resonance Images Using Gaussian Random Field: A Monte Carlo Simulation Study, Pei-Chin Lu

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Joint Models of Longitudinal Outcomes and Informative Time, JangDong Seo

Dissertations from 2014

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Exponentiality Test Using a Modified Lilliefors Test, Achut Prasad Adhikari

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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

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Generalized method of moments approach for spatial-temporal binary data, Kimberly Ann Kaufeld

Dissertations from 2013

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Adjusted variance components for unbalanced clustered binary data models, Intesar N. Abdoslam

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Bayesian estimation of the fractal dimension index of fractional Brownian motion, Chen-Yueh Chen

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Assessing sensitivity of Early Head Start study findings to manipulated randomization threats, Sheridan Green

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Goodness of fit statistics for mixed effect logistic regression models, Jalal Abdalla Saaid

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Double truncated poisson regression model with random effects, Abdalhalim M. Ali Suaiee

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Affine invariant signed-rank multivariate exponentially weighted moving average control chart for process location monitoring, Jamil H. Zeinab

Dissertations from 2011

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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

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Comparison of multivariate methods for measuring change from pretest to posttest, Justin Leslie Rogers

Dissertations from 2009

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Joint model of a longitudinal process and informative time schedule data, Michael Bronsert

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The effectiveness of stepwise discriminant analysis as a follow up procedure to a significant MANOVA using both the F-statistic and partial R-square criterion, Raj K. Chandran

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Functioning of global fit statistics in latent growth curve modeling, Kathryn K. DeRoche

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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

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Comparison of three computational procedures for solving the number of factors problem in exploratory factor analysis, Adam Vincent Piccone

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Voices of striving elementary readers: an exploration of the enhancement of struggling reader research through portraiture methodology, Roland Kerry Schendel