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open access

How Attitudes towards Statistics Courses and the Field of Statistics Predicts Statistics Anxiety among Undergraduate Social Science Majors: A Validation of the Statistical Anxiety Scale

Description: The aim of this study was to validate an instrument that can be used by instructors or social scientist who are interested in evaluating statistics anxiety. The psychometric properties of the English version of the Statistical Anxiety Scale (SAS) was examined through a confirmatory factor analysis of scores from a sample of 323 undergraduate social science majors enrolled in colleges and universities in the United States. In previous studies, the psychometric properties of the Spanish and Itali… more
Date: August 2017
Creator: Obryant, Monique J
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Comparing Three Approaches for Handling a Fourth Level of Nesting Structure in Cluster-Randomized Trials

Description: This study compared 3 approaches for handling a fourth level of nesting structure when analyzing data from a cluster-randomized trial (CRT). CRTs can include 3 levels of nesting: repeated measures, individual, and cluster levels. However, above the cluster level, there may sometimes be an additional potentially important fourth level of nesting (e.g., schools, districts, etc., depending on the design) that is typically ignored in CRT data analysis. The current study examined the impact of ignor… more
Date: August 2017
Creator: Glaman, Ryan
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Classification by Neural Network and Statistical Models in Tandem: Does Integration Enhance Performance?

Description: The major purposes of the current research are twofold. The first purpose is to present a composite approach to the general classification problem by using outputs from various parametric statistical procedures and neural networks. The second purpose is to compare several parametric and neural network models on a transportation planning related classification problem and five simulated classification problems.
Date: December 1998
Creator: Mitchell, David
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Selection Bias and Sensitivity as Moderators of Prekindergarten Age-Cutoff Regression Discontinuity Study Effects: A Meta-Analysis

Description: The age-cutoff regression discontinuity design (RDD) has emerged as one of the most rigorous quasi-experimental approaches to determining program effects of prekindergarten on literacy and numeracy outcomes for children at kindergarten entry. However, few pre-K meta-analyses have focused attention on validity threats. The current random-effects meta-regression tests the moderating effects of prominent threats to validity, selection bias and sensitivity, on impact estimates generated from age-cu… more
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Date: July 2023
Creator: Stewart, Genea K.
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Effects of Native-English Computer-Assisted Pronunciation Training in an Online Hybrid Learning Environment

Description: The purpose of this dissertation was to understand and compare the effect of training non-native English Speaking (NNES) learners (N = 480) in two distinct learning environments, (i) traditional face-to-face and (ii) online synchronous hybrid learning (SHL). In the traditional training mode, NNES learners (n = 360) were trained by NNES voice and accent (VANC) trainers in a physical, face-to-face setting. In the second, CAPT+SHL training mode, the NNES learners were trained by NNES VANC trainers… more
Date: July 2023
Creator: Singh, Bikram Kumar
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Lasso Regularization for DIF Detection in Graded Response Models

Description: Previous research has tested the lasso method for DIF detection in dichotomous items, but limited research is available on this technique for polytomous items. This simulation study compares the lasso method to hybrid ordinal logistic regression to test performance in terms of TP and FP rates when considering sample size, test length, number of response categories, group balance, DIF proportion, and DIF magnitude. Results showed better Type I error control with the lasso, with smaller sample si… more
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Date: May 2023
Creator: Avila Alejo, Denisse
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Measurement of National Innovations Systems Performance Trends in Sub-Saharan Africa: A Multidimensional Study

Description: In the modern economy, national innovation systems (NIS) contribute to a substantial increase in economic development in numerous parts of the world. NIS has been instrumental in integrating most developing countries' economies into the global capitalist system; however, some developing countries lag the innovation capacities to develop their NIS. The inability of the countries in Sub-Saharan Africa to gauge their NIS is problematic and probably risky for the countries' future development. With… more
Date: May 2023
Creator: Secka, Edward G.
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Computational and Statistical Modeling of the Virtual Reality Stroop Task

Description: The purpose of this research was two-fold: (1) further validate the Virtual Reality Stroop Task HMMWV [VRST; Stroop stimuli embedded within a virtual high mobility multipurpose wheeled vehicle] via a comparison of the 3-dimensional VRST factor structure to that of a 2-dimensional computerized version of the Stroop task; and (2) model the performance of machine learning [ML] classifiers and hyper-parameters for an adaptive version of the VRST. Both the 3-D VRST and 2-D computerized Stroop tasks … more
Date: May 2022
Creator: Asbee, Justin M
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

A Novel Two-Stage Adaptive Method for Estimating Large Covariance and Precision Matrices

Description: Estimating large covariance and precision (inverse covariance) matrices has become increasingly important in high dimensional statistics because of its wide applications. The estimation problem is challenging not only theoretically due to the constraint of its positive definiteness, but also computationally because of the curse of dimensionality. Many types of estimators have been proposed such as thresholding under the sparsity assumption of the target matrix, banding and tapering the sample c… more
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Date: August 2019
Creator: Rajendran, Rajanikanth
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Extensions of the Neural Network Models into Applications and Comparisons with General Linear Models

Description: This dissertation is designed to answer the following questions: (1) Which measurement model is better to contribute to the research model in different areas? (2) Within a given model, how does the data size influence the performance of a neural network (NN) and some other methods? (3) Compared to partial least square (PLS), ordinary least square (OLS), XGBoost, how is the performance of NN? Essay 1 systematically compares PLS-SEM to ANN and builds the hybrid vehicle purchasing intention model… more
Date: August 2021
Creator: Wang, Yuchen
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

A General Approach to Buhlmann Credibility Theory

Description: Credibility theory is widely used in insurance. It is included in the examination of the Society of Actuaries and in the construction and evaluation of actuarial models. In particular, the Buhlmann credibility model has played a fundamental role in both actuarial theory and practice. It provides a mathematical rigorous procedure for deciding how much credibility should be given to the actual experience rating of an individual risk relative to the manual rating common to a particular class of ri… more
Date: August 2017
Creator: Yan, Yujie yy
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Using a Slopes Difference Test to Probe Longitudinal Multilevel Interactions in an Aptitude-Treatment or Skill-by-Treatment Context: A Simulation

Description: In order to determine which interventions work best for which students, precision education researchers have examined aptitude-treatment interactions (ATI) or skill-by-treatment interactions (STI) by using multiple regression analysis. In recent years, technological innovation and greater accessibility to more advanced statistical techniques have allowed researchers to examine ATI or STI using longitudinal mixed modeling. Probing techniques for interaction effects like slopes difference tests f… more
Date: August 2021
Creator: DeJong, Trey L.
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

A Study of Hierarchical Risk Parity in Portfolio Construction

Description: Portfolio optimization is a process in which the capital is allocated among the portfolio assets such that the return on investment is maximized while the risk is minimized. Portfolio construction and optimization is a complex process and has been an active research area in finance for a long time. For the portfolios with highly correlated assets, the performance of traditional risk-based asset allocation methods such as, the mean-variance (MV) method is limited because it requires an inversion… more
This item is restricted from view until June 1, 2026.
Date: May 2024
Creator: Palit, Debjani
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Psychological Distress in Collegiate Music Students: Examining Latent Relationships through Structural Equation Modeling

Description: The purpose of this study was to characterize psychological distress in collegiate music students via analysis of related latent constructs. The relationships between psychological distress, perceived stress, perception of learning environment, financial stress, social support, and resilience were examined simultaneously via structural equation modeling with psychological distress as the primary endogenous variable. A structural model was developed a priori based on established relationships be… more
This item is restricted from view until June 1, 2026.
Date: May 2024
Creator: McGoldrick, Brian B.
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Malicious Intent Detection Framework for Social Networks

Description: Many, if not all people have online social accounts (OSAs) on an online community (OC) such as Facebook (Meta), Twitter (X), Instagram (Meta), Mastodon, Nostr. OCs enable quick and easy interaction with friends, family, and even online communities to share information about. There is also a dark side to Ocs, where users with malicious intent join OC platforms with the purpose of criminal activities such as spreading fake news/information, cyberbullying, propaganda, phishing, stealing, and unjus… more
This item is restricted from view until June 1, 2026.
Date: May 2024
Creator: Fausak, Andrew Raymond
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
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