Education Commons^™

Assessment Of Method Effects Of Keying And Wording In Instruments: A Mixed-Methods Explanatory Sequential Study, Lin Ma

Electronic Theses and Dissertations

This dissertation presents an innovative approach to examining the keying method, wording method, and construct validity on psychometric instruments. By employing a mixed methods explanatory sequential design, the effects of keying and wording in two psychometric assessments were examined and validated. Those two self-report psychometric assessments were the Effortful Control assessment (Ellis & Rothbart, 2001) and the Grit assessment (Duckworth & Quinn, 2009). Moreover, the quantitative phase utilized structural equation modeling to analyze 2,104 students’ responses and assess the construct of keying and wording. Various hypothetical models were investigated and evaluated. The reliability of each construct in each method was …

Mis-Specification Of Functional Forms In Growth Mixture Modeling: A Monte Carlo Simulation, Richa Ghevarghese

Electronic Theses and Dissertations

Growth mixture modeling (GMM) is a methodological tool used to represent heterogeneity in longitudinal datasets through the identification of unobserved subgroups following qualitatively and quantitatively distinct trajectories in a population. These growth trajectories or functional forms are informed by the underlying developmental theory, are distinct to each subgroup, and form the core assumptions of the model. Therefore, the accuracy of the assumed functional forms of growth strongly influences substantive research and theories of growth. While there is evidence of mis-specified functional forms of growth in GMM literature, the weight of this violation has been largely overlooked. Current solutions to circumvent …

Digital Searching: A Grounded Theory Study On The Modern Search Experience, Nicolas Armando Parés

Electronic Theses and Dissertations

This Grounded theory study explores US adults' modern information search process as they pursue information through digital search user interfaces and tools. To study the current search process, a systematic grounded theory methodology and two data collection methods, a think-aloud protocol and semi-structured interviews, are used to develop the theory. The emerging theory addressed two tightly connected research questions that asked, “What is the process by which humans search and discover information?” and “What is the process by which search and discovery interfaces and tools support the modern search process?”

The study collects participant data from US adults who have …

Estimation Of Treatment Effects With Multilevel Observational Data Using Deep Neural Networks, Logistic Regression, And Multilevel Modeling: A Propensity Score Approach, Neba Nfonsang

Electronic Theses and Dissertations

This study used a propensity score approach to estimate treatment effects in a multilevel setting. The propensity score approach involves the estimation of propensity scores for covariate balancing and the estimation of treatment effects. This study aimed at understanding how propensity scores estimated through a simple logistic regression compare with propensity scores estimated through an optimized deep neural networks model. The study also examined how treatment effects estimated with propensity score weights from logistic regression compare with treatment effects estimated with propensity score weights from deep neural networks.

Few causal studies have been conducted in a multi-level setting with observational …

Statistical Modeling Of Positive Peer Support On Longitudinal Adolescent Substance Use, Kady Rost

Electronic Theses and Dissertations

To evaluate this study’s research question of ”Does the latent construct of Positive Peer Support (PPS) relate to the construct of Adolescent Substance Use (ASU) over time, controlling for neighborhood safety, race, and sex?”, Structural Equation (SEM) and Latent Growth Curve Modeling (LGCM) were used to investigate trajectories. Secondary longitudinal data from Zimmerman (2014) of 604 students enrolled for four consecutive years in public schools located in Flint, Michigan. In the secondary data resource, students who participated were declared “at risk” by GPA. Significant relationships were found in SEM: Positive Peer Support to Adolescent Substance Use, All Control Variables to …

Social Support Among Undergraduate Students: Measure Development And Validation, Heather M. Blizzard

Electronic Theses and Dissertations

Being born into circumstances of low-income, having a racial minority status, and/or non-college educated families dwindle the opportunities for many students to obtain a college degree (Cox, 2016; Engle & Tinto, 2008; Jenkins et al., 2013). While many institutions of higher education have diligently worked to develop programs geared towards attending the educational inequalities among diverse student populations, there is still a great need for programs centered on the inequalities surrounding social support (Cox, 2016; Ward et al., 2012; Soria & Stebleton, 2012).

The purpose of this study was to develop and assess a measure to examine perceived social support …

Surveying The Soul: Shaping Auto-Criticism With Reflective Arts-Based Inquiry To Assess A Female Doctoral Experience, Monica Fain Rezac

Electronic Theses and Dissertations

This dissertation is an arts-based auto-criticism assessing the author's experience in her doctoral program. It is also perhaps the first dissertation elaborating on a method called auto-criticism, as derived from educational criticism and connoisseurship. The process of inquiry is rooted in arts-based methods of representation and theories of educational criticism and critical theory in the humanities. Philosophical approaches to artwork and the use of it in these methodologies was inspired by the independent arts practices of intuitive artists. The purpose of this project is for the author to develop, articulate, and create a sense of what auto-criticism entails in the …

Latent Growth Curve And Latent Change Score Modeling Of Developmental Relationships Between Executive Functioning And Math Achievement In Early Elementary School, Kerry-Ann Lewis Pearcy

Electronic Theses and Dissertations

The current study compared latent growth curve (LGC) models and latent change score (LCS) models capabilities in modeling complex data in a development framework. Using the nationally representative ECLS-K:2011 dataset, LGC and LCS models explored the dynamic relationship between executive function and math achievement. The relationship between the two constructs has been extensively examined but little is understood about their dynamic relationship. The findings of this study indicated LCS to be more robust than LGC in modeling complex data and in examining dynamic relationship. The findings also suggested that one of the two executive functioning tasks, Dimensional Change Card Sort …

Understanding Public Library Services And Use: A Structural Equation Modeling Framework, Ian Burke

Electronic Theses and Dissertations

This dissertation describes the process of fitting publicly available data from the 2015 Public Libraries Survey and 2015 American Community Survey to a structural equation model based on a theory of action for public libraries relating operating revenue to latent factors measuring service availability and library use within the context of matched community demographic data. The process of using theory-based data analysis to investigate publicly-available data is examined. Key findings include acceptable estimates of goodness-of-fit for hypothesized factors representing public library service availability and public library use, an inconsistent mediation effect of service availability on the relationship between public library …

Assessment Of Multiple-Form Structure Designs Of Multistage Testing Using Irt, Hanan M. Alghamdi

Electronic Theses and Dissertations

The current study investigated multistage testing (MST) as an alternative to classical linear testing (CLT) for the General Aptitude Test (GAT). The aim was to assess the effects of two assembly methods (narrow vs. wide range—NR vs. WR), two routing methods (Defined Population Intervals—DPI— and the Approximate Maximum Information method—AMI), and two panel structures (two-stage and three-stage) on precision of ability estimates and accuracy of classification for both sections of the GAT (Verbal and Mathematics). Thus, eight conditions were examined and compared: 2 (assembly conditions) * 2 (panel structures) * 2 (routing methods).

The dataset that included a sample of …

Factor Invariance Of The Standard Achievement Admission Test By Gender And School Types, Mohammed Alqabbaa

Electronic Theses and Dissertations

This study examined the factorial structure of the SAAT with exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Specifically, a CFA of a four-factor model (the hypothesized model) was tested to see if the model had good fit as well as a model generated from an EFA. The EFA showed that the SAAT test only measured two factors (biology and chemistry), not the four posited by the test developers. The CFA provided good fit to a two-factor model; however, a CFA showed that the hypothesized four-factor model also fit the data well and so the hypothesized model was selected …

A Comparison Of Latent Class Analysis And The Mixture Rasch Model: A Cross-Cultural Comparison Of 8th Grade Mathematics Achievement In The Fourth International Mathematics And Science Study (Timss-2011), Turker Toker

Electronic Theses and Dissertations

This study provides a comparison of the results of latent class analysis (LCA) and mixture Rasch model (MRM) analysis using data from the Trends in International Mathematics and Science Study - 2011 (TIMSS-2011) with a focus on the 8th-grade mathematics section. The research study focuses on the comparison of LCA with Mplus version 7.31 and MRM with WinMira 2011 to determine if results obtained differ when the assumed psychometric model differs. Also, a log-linear analysis was conducted to understand the interactions between latent classes identified by LCA and MRM. The data set used in the study was from four diverse …

A Reliability Generalization Study Of The Brief Symptom Inventory-18, Dareen Taha Alzahrani

Electronic Theses and Dissertations

Reliability generalization (RG) is a meta-analytic method that aims to assess the variability of test score reliability across studies and identify the sources of this variability. In this study, a reliability generalization analysis was performed on studies of the Brief Symptom Inventory-18 (BSI-18) to examine the variability in Cronbach's alpha reliability estimates reported in the literature. This inventory was chosen because of its extensive use in counseling and medical settings and documented reliability and validity. The database that was consulted to collect articles was PsycInfo. The reported Cronbach's alphas were obtained to assess whether defined moderator variables affected reliability estimates. …

A Comparison Between Propensity Score Matching, Weighting, And Stratification In Multiple Treatment Groups: A Simulation Study, Priyalatha Govindasamy

Electronic Theses and Dissertations

The application of propensity score techniques (matching, stratification, and weighting) with multiple treatment levels are similar to those used in binary groups. However, given that the application of propensity scores in multiple treatment groups is new, factors affecting the performance of matching, stratification, and weighting in multiple treatment groups are less explored. Therefore, this study was conducted to determine the performance of different propensity score techniques with multiple treatment groups under various circumstances. Specifically, the study focused on examining how the three propensity score corrective techniques perform in estimating treatment effects under (1) overt and (2) hidden types of selection …

Measuring Teachers' Knowledge And Use Of Data And Assessments: Creating A Measure As A First Step Toward Effective Professional Development, Courtney Vidacovich

Electronic Theses and Dissertations

Current teaching standards and practices are dictated, at least in part, by state- and district-mandated standardized tests. Yet, despite being surrounded by data, teachers receive only basic trainings on how to use assessments. In reality, teachers use data and assessments daily--even minute by minute--through the assessment process, which uses multiple data sources to make informed decisions on student learning and teaching practices. A measure was needed to understand how the policies and expectations from schools, districts, and states compare with actual classroom practices. The teachers Knowledge and Use of Data and Assessment (tKUDA) measure was designed to do just that. …

Through The Eyes Of Visitors: Understanding The Contexts Of The Visitor Photo Study At The Denver Museum Of Nature & Science, Kathryn Irene Schroeder

Electronic Theses and Dissertations

This case study describes the analysis of the Visitor Photo Study, a study in which visitors to the Denver Museum of Nature & Science documented their visit through pictures. The origins, implementation, and findings of the Visitor Photo Study are considered within the contexts of the fields of Community-Based Research (Strand, Marullo, Cutforth, Stoecker, & Donohue, 2003b), Visual Studies (Marshall & Rossman, 2011; Pink, 2007), and Visitor Studies (Visitor Studies Association, 2012). This study considers the extent to which the principles and elements of each of these fields were present in the Visitor Photo Study, which elements were not fully …