Education Commons^™

The Relationship Between Depressive Symptoms And Levels Of Lifestyle Activity Among Community-Dwelling Older Adults, Michael D. Gatson

Walden Dissertations and Doctoral Studies

Identifying depressive symptoms in community-dwelling elders has been problematic, due to a lack of resources and training for health clinicians. Previous researchers have indicated that older adults who engage in physical activities can prevent, or mitigate depression, but no model has included this variable in conjunction with factors such as lifestyle or sociodemographic characteristics. In this study, a predictive design was used with a regression analysis. The purpose of this quantitative study was to investigate the relationship between depressive symptoms and the different factors identified in the literature as significant contributors to its prevalence among older community-dwelling adults. Erikson's theory …

Terrorism And Parents' Experience Of Children's Schooling In Nigeria: A Phenomenological Study., James Ovu Urien

Walden Dissertations and Doctoral Studies

In Nigeria, displaced non-Muslim parents living in refugee camps face difficult decisions regarding the schooling of their teenage daughters, who are potential targets of Boko Haram terrorist activities. The purpose of this interpretative phenomenological analysis (IPA) was to qualitatively explore a deeper understanding of the lived experience of displaced non-Muslim parents in Nigeria concerning the schooling of their teenage daughters. Prospect theory provided a theoretical foundation for the study. The theory holds that decision-making is based on the perceived value of gains and losses under risk conditions, rather than solely the perceived final outcome of the risk. The research questions …

Reducing Adolescent Anger And Aggression With Biofeedback: A Mixed-Methods Multiple Case Study, Jedidiah S. Savard

Antioch University Full-Text Dissertations & Theses

Adolescent anger, aggression, and violent outbursts are social problems significantly affecting each of us. Individual therapeutic management of pathological anger is treated in various ways depending on practitioners’ theoretical orientations and competency levels. Popular psychological individual and group therapies addressing anger and aggression in adolescents focus primarily on cognitive-behavioral techniques that manage anger’s symptoms. Evidence-based cognitive-behavioral therapies often require clients to self-identify emerging antecedents of anger without assistance; such therapies employ predetermined strategies to assist the client to emotionally de-escalate prior to an angry or aggressive episode. However, cognitive responses to an emotional upheaval stemming from an emergence of anger …

Detecting Candidate Preknowledge Of Items Using A Predictive Checking Method, Xi Wang

Doctoral Dissertations

In on-demand high-stakes testing programs such as GRE and TOEFL, some items are repeatedly used across test administrations to reduce the cost of developing new items constantly. Item exposure provides an opportunity for examinees to have knowledge of particular test items in advance of their administration. It poses a threat to test security and ultimately will result in invalid test scores. Therefore, many testing programs conduct quality control to monitor test compromise at individual and/or group level. A predictive checking method is proposed in this study to detect examinee preknowledge on exposed items. We consider a scenario where a test …

Identifying Examinees Who Possess Distinct And Reliable Subscores When Added Value Is Lacking For The Total Sample, Joseph A. Rios

Doctoral Dissertations

Research has demonstrated that although subdomain information may provide no added value beyond the total score, in some contexts such information is of utility to particular demographic subgroups (Sinharay & Haberman, 2014). However, it is argued that the utility of reporting subscores for an individual should not be based on one’s manifest characteristics (e.g., gender or ethnicity), but rather on individual needs for diagnostic information, which is driven by multidimensionality in subdomain scores. To improve the validity of diagnostic information, this study proposed the use of Mahalanobis Distance and H^T indices to assess whether an individual’s data significantly departs …

Optimizing Cross-Battery Assessment Procedures For Reading-Based Specific Learning Disorder Diagnosis: A Monte Carlo Study, Zachary Joseph Roman

Theses and Dissertations

Specific Learning Disorder is a disorder in which deficits in academic skills are caused by specific cognitive deficits. Cross-Battery Assessment (Flanagan, Alfonso, & Ortiz, 2013), is a popular method of diagnosing specific learning disorders. A recent study using data simulation methods claimed that cross-battery assessment was insufficiently accurate for clinical use (Stuebing, Fletcher, Branum-Martin, & Francis, 2012). However, the study used the general population base rate for specific learning disorders, resulting in misleadingly low accuracy estimates. The current study attempted to accurately simulate the cross-battery assessment method with a referred population prevalence to provide a fair analysis of cross-battery assessment’s …

Examining Internalizing Symptoms In Child And Youth Victims Of Emotional Abuse And Bullying: The Mediating Effects Of Individual And Family Strength Factors In Clinical Samples, Amani M. Elrofaie

Electronic Thesis and Dissertation Repository

Child and youth experiences of emotional abuse and bullying are harmful interactions by caregivers and peers, which produce adverse mental health and social outcomes (Glaser, 2011). This study examined the relationships between trauma exposure and internalizing outcomes through individual and parenting level strength factors. The study comprised 1,297 child and youth participants, aged 4 to 18, from inpatient and outpatient mental health facilities across Ontario, who were administered the interRAI Child and Youth Mental Health assessment (ChYMH; Stewart, Hirdes et al., 2015) with their parents/caregivers. Generalized linear modelling (Nelder & Wedderburn, 1972) was used to determine the relationships between trauma …

The Effects Of Scaling On Trends Of Development: Classical Test Theory And Item Response Theory, Weldon Z. Smith

College of Education and Human Sciences: Dissertations, Theses, and Student Research

The scale metrics used in educational testing are often arbitrary, and this can impact interpretation of scores on measurements. Both classical test theory sum scores and item response theory estimates measure the same underlying dimension, but differences in the two scales may lead one to be more preferential than the other in interpreting data. Mismatch between individual ability and test difficulty can further result in difficulties in correctly interpreting trends of development in longitudinal data. A previous limited simulation by Embretson (2007) demonstrated that classical test theory sum scores result in misinterpretation of linear trends of development, and that item …

Strategies And Resources To Enhance Test Evaluation And Selection, Janet F. Carlson, Nancy Anderson

Buros Center: Professional Staff Publications

Testing serves an important function for SLPs in offering an evidence base that is useful in screening, diagnosing, monitoring progress, and documenting outcomes. Tests are used to measure diverse constructs such as communication, literacy, oral and written language, receptive and expressive vocabulary, articulation, phonological awareness and processing, and auditory perception and processing. In addition, specific impairments may require specialized measures to evaluate conditions such as stuttering and orthographic competence.

When using tests to diagnose language impairments, Betz, Eickhoff, and Sullivan (2013) suggest that SLPs consider carefully a test’s psychometric properties, particularly because of the “increasing emphasis on evidence-based practice, specifically, …

The Effects Of A Planned Missingness Design On Examinee Motivation And Psychometric Quality, Matthew S. Swain

Dissertations, 2014-2019

Assessment practitioners in higher education face increasing demands to collect assessment and accountability data to make important inferences about student learning and institutional quality. The validity of these high-stakes decisions is jeopardized, particularly in low-stakes testing contexts, when examinees do not expend sufficient motivation to perform well on the test. This study introduced planned missingness as a potential solution. In planned missingness designs, data on all items are collected but each examinee only completes a subset of items, thus increasing data collection efficiency, reducing examinee burden, and potentially increasing data quality. The current scientific reasoning test served as the Long …

Examining The Performance Of The Metropolis-Hastings Robbins-Monro Algorithm In The Estimation Of Multilevel Multidimensional Irt Models, Bozhidar M. Bashkov

Dissertations, 2014-2019

The purpose of this study was to review the challenges that exist in the estimation of complex (multidimensional) models applied to complex (multilevel) data and to examine the performance of the recently developed Metropolis-Hastings Robbins-Monro (MH-RM) algorithm (Cai, 2010a, 2010b), designed to overcome these challenges and implemented in both commercial and open-source software programs. Unlike other methods, which either rely on high-dimensional numerical integration or approximation of the entire multidimensional response surface, MH-RM makes use of Fisher’s Identity to employ stochastic imputation (i.e., data augmentation) via the Metropolis-Hastings sampler and then apply the stochastic approximation method of Robbins and Monro …

Extending An Irt Mixture Model To Detect Random Responders On Non-Cognitive Polytomously Scored Assessments, Mandalyn R. Swanson

Dissertations, 2014-2019

This study represents an attempt to distinguish two classes of examinees – random responders and valid responders – on non-cognitive assessments in low-stakes testing. The majority of existing literature regarding the detection of random responders in low-stakes settings exists in regard to cognitive tests that are dichotomously scored. However, evidence suggests that random responding occurs on non-cognitive assessments, and as with cognitive measures, the data derived from such measures are used to inform practice. Thus, a threat to test score validity exists if examinees’ response selections do not accurately reflect their underlying level on the construct being assessed. As with …

The Relationship Between Demands And Resources And Teacher Burnout: A Fifteen-Year Meta-Analysis, Tammy Marie Stewart

Doctoral Dissertations

This meta-analysis explored the phenomenon of teacher burnout— the biggest contributor to teacher attrition (Owens, 2013; Unterbrink, 2014; Yu, 2015). The focus of this study was to use meta-analytical procedures to explore the relationship between burnout dimensions (i.e., emotional exhaustion, depersonalization, and feelings of personal accomplishment) and specific demand and resource correlates. Demand correlates included work overload, role conflict, role ambiguity, and student misbehavior. Resource correlates included peer support, supervisory support, and decision-making. This meta-analytical research method encompassed fifteen years of published and unpublished studies from January 2000 through January 2015. A total of 116 studies met the following inclusion …

A Comparison Of Population-Averaged And Cluster-Specific Approaches In The Context Of Unequal Probabilities Of Selection, Natalie A. Koziol

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Sampling designs of large-scale, federally funded studies are typically complex, involving multiple design features (e.g., clustering, unequal probabilities of selection). Researchers must account for these features in order to obtain unbiased point estimators and make valid inferences about population parameters. Single-level (i.e., population-averaged) and multilevel (i.e., cluster-specific) methods provide two alternatives for modeling clustered data. Single-level methods rely on the use of adjusted variance estimators to account for dependency due to clustering, whereas multilevel methods incorporate the dependency into the specification of the model.

Although the literature comparing single-level and multilevel approaches is vast, comparisons have been limited to the …

Measuring The Outliers: An Introduction To Out-Of-Level Testing With High-Achieving Students, Karen Rambo-Hernandez, Russell Warne

Russell T Warne

Out-of-level testing is an underused strategy for addressing the needs of students who score in the extremes, and when used wisely, it could provide educators with a much more accurate picture of what students know. Out-of-level testing has been shown to be an effective assessment strategy with high-achieving students; however, out-of-level testing has not been shown to work well with low-achieving students. This article provides a brief history of out-of-level testing, along with guidelines for using it.

An Examination Of The Psychometric Properties Of The Working Model Of The Child Interview Coding Scheme With Biological Mothers Who Have Maltreated, Brian D. Gustman

Theses and Dissertations--Educational, School, and Counseling Psychology

There are hundreds of thousands of children living in foster care in the United States on any given day. Mental health professionals may be called upon to assist with evaluating the parental capacity of these children’s parents in order to inform reunification decisions. One of the key parental capacity domains to be evaluated is the relationship between parent and child (Schmidt et al., 2007). The Working Model of the Child Interview coding scheme (WMCI; Zeanah et al., 1996) is one tool for evaluating this relationship. There is a significant practice-to-research gap with this measure. To date, no peer-reviewed studies have …

Psychometric Investigation Of The Check-In, Check-Out Fidelity Of Implementation Measure, Erin Ann Sullivan

Electronic Theses and Dissertations

Suspension and expulsion are utilized frequently and disproportionality in schools in the United States. Many schools utilize Positive Behavioral Interventions and Supports (PBIS), a tiered framework to prevent problem behavior and reduce the use of discipline practices (Sugai et al., 2000). Check-In, Check-Out (CICO) is a targeted group behavioral intervention that is utilized within this framework in schools to prevent severe problem behavior in students that are beginning to exhibit externalizing and/or internalizing behavioral needs; thus, preventing the use of exclusionary discipline practices (Crone et al., 2010; Hawken & Horner, 2003). As the use of CICO in schools continues to …

Computer Anxiety And Computer Self-Efficacy Of Older Adults, Elizabeth Diane Cooper-Gaiter

Walden Dissertations and Doctoral Studies

Many older adults (aged 55 and older) need training to acquire computer knowledge and skills. Using computers and the Internet could provide access to vital resources for improving older adults' health and maintaining their connections with family and society. This study examined 2 psychological constructs--computer anxiety and computer self-efficacy--that have been shown to impact a person's successful use of computers and related technology. Guided by Bandura's self-efficacy theory, which emphasizes the importance of adult learners being motivated and taking charge of their learning, this study examined the impact of a computer knowledge and skills workshop on older adults' computer anxiety …

Inferential Procedures For Dominance Analysis Measures In Multiple Regression, Shuwen Tang

Theses and Dissertations

In order to better interpret a selected multiple regression model, researchers are often interested in whether a predictor is significantly more important than another or not. This study investigates the performance of the Normal-Theory based (asymptotic) confidence interval and bootstrap confidence intervals for predictors' dominance relationships using both normal and non-normal data. The results show that asymptotic confidence interval method is adequate to make inferences for comparing two general dominance measures when the distribution is multivariate normal or slightly non-normal and when the effect size is no less than 0.15 and the sample size is at least 100. However, the …

Predicting High-Stakes Tests Of Math Achievement Using A Group-Administered Rti Instrument: Validating Skills Measured By The Monitoring Instructional Responsiveness: Math, Jeremy Thomas Coles

Doctoral Dissertations

Three universal screeners and nine progress monitoring probes from the Monitoring Instructional Responsiveness: Math (MIR:M), a silent, group-administered math assessment designed for implementation with an RTI Model, were administered to 223 fifth-grade students. The growth parameters of the overall MIR:M composite and two global composites (math calculation and math reasoning) identified significant variation in student growth, within significant linear and quadratic trajectories. However, there were significant differences in the nature of the growth trajectories that have applied educational implications. In addition, growth parameters across the three composites provided significant predictive potential when using the Tennessee Comprehensive Assessment Program (TCAP) Achievement …

Dif Analyses In Multilevel Data: Identification And Effects On Ability Estimates, Yao Wen

Theses and Dissertations

Fairness is an important issue in educational testing in that different groups of examinees should have equal probabilities of answering an item correctly, provided they have the same capabilities. Therefore, differential item functioning (DIF) analyses were developed due to the possibility of bias in cognitive or achievement tests. Data are multilevel structured in educational testing as students are nested within teachers who are nested within schools, and which may further be nested within districts. Although DIF analyses have been discussed for decades, they are rarely investigated in multilevel data. In this study, DIF analyses in multilevel data were investigated via …

The Reliability And Validity Of The Thin Slice Technique: Observational Research On Video Recorded Medical Interactions, Tanina Suzanne Foster

Wayne State University Dissertations

The Reliability and Validity of the Thin Slice Technique: Observational Research on Video Recorded Medical Interactions

Introduction: Observational research using the thin slice technique has been routinely incorporated in observational research methods, however there is limited evidence supporting use of this technique compared to full interaction coding. The purpose of this study was to determine if this technique could be reliability coded, if ratings are consistent between the first, second and third slice, and if they are indeed representative of full interactions.

Methods: Three 30-second thin slices were sampled from the beginning, middle and end of a full-length video-recorded …

Validation Of The Item-Attribute Matrix In Timss-Mathematics Using Multiple Regression And The Lsdm, Lin Ma

Electronic Theses and Dissertations

For many cognitive diagnostic models, the item-attribute matrix (or Q-matrix) is an essential component which displays the relationship between items and their latent attributes or skills in knowledge and cognitive processes. However, it is a challenge to develop an effective Q-matrix.The purposes of this study were (1) to validate of the item-attribute matrix using two levels of attributes (Level 1 attributes and Level 2 sub-attributes), and (2) through retrofitting the diagnostic models to the mathematics test of the Trends in International Mathematics and Science Study (TIMSS), to evaluate the construct validity of TIMSS mathematics assessment by comparing the results of …

Teacher Support Mediates Concurrent And Longitudinal Associations Between Temperament And Mild Depressive Symptoms In Sixth Grade, Kathleen Moritz Rudasill, Patrick Pössel, Stephanie Winkeljohn Black, Kate Niehaus

Department of Educational Psychology: Faculty Publications

The combination of changes occurring at the transition to middle school may be a catalyst for the onset of depressive symptoms, yet teacher support at this transition is protective. Research points to certain temperamental traits as risk factors for developing depressive symptoms. This study examines student reports of teacher support and teacher reports of student–teacher relationship (STR) quality as mediators of associations between child temperament (i.e. negative emotionality at age 4½ : and emotional reactivity in elementary grades) and depressive symptoms in sixth grade. Results indicate (a) negative emotionality predicted emotional reactivity and depressive symptoms; (b) emotional reactivity predicted depressive …

Using Above-Level Testing To Track Growth In Academic Achievement In Gifted Students, Russell Warne

Russell T Warne

Above-level testing is the practice of administering aptitude or academic achievement tests that are designed for typical students in higher grades or older age-groups to gifted or high-achieving students. Although widely accepted in gifted education, above-level testing has not been subject to careful psychometric scrutiny. In this study, I examine reliability data, growth trajectories, distributions, and group differences of above-level test scores obtained from the Iowa Tests of Basic Skills and Iowa Tests of Educational Development. Two hundred twenty-four middle school students participated in this study. All participants were tested at least 1 time for an overall total of 435 …

Rasch Maximum Likelihood Estimation For Theta And W-Scores With Panel Study Of Income Dynamics Woodcock-Johnson Revised Achievement Raw Scores, Ezekiel J. Dixon-Román

Ezekiel J Dixon-Román

This appendix explains the estimation of the Rasch maximum likelihood estimated thetas using the raw scores of the Woodcock-Johnson Revised Achievement Measure in the Panel Study of Income Dynamics. It is then discussed how to estimate the W-scores from the Rasch maximum likelihood estimated thetas. The W-scores ensure stability in score changes that accounts for item difficulty and person ability for growth modeling.

Usability Testing To Enhance User Experience: The Catquest Usability Study, Aaron Nichols, Amber Billey, Alice Stokes, Peter Spitzform, Catherine Mundy

UVM Libraries Conference Day

After implementing the discovery tool Primo (eventually renamed CATQuest), the UVM Libraries conducted a usability test to understand how our users approach using this tool without instruction, to discover patterns in searching behavior, and to uncover how compatible Primo is with user search behavior. This presentation will demonstrate the design and implementation of the usability study, as well as reveal some surprising results.

The Effects Of Generative Strategies In Instructional Simulations On Learning, Cognitive Load, And Calibration Accuracy, Jennifer R. Morrison

STEMPS Theses & Dissertations

Instructional simulations can provide a powerful medium for learners to interact with a model representing underlying principles of content or phenomena. While a promising medium for developing a learner's own mental model, reviews of simulation learning have revealed less than promising results (Bangert-Drowns, Kulik, & Kulik, 1985; Kulik & Kulik, 1991), perhaps due to the lack of instructional supports inherent with a discovery-based approach. This study examined the use of generative strategies as an instructional support to promote learning from a physics simulation. Generative strategies, originally proposed by Wittrock (1974, 1989), strengthen understanding by prompting learners to create meaning between …

An Analysis Of Factor Extraction Strategies: A Comparison Of The Relative Strengths Of Principal Axis, Ordinary Least Squares, And Maximum Likelihood In Research Contexts That Include Both Categorical And Continuous Variables, Kevin Barry Coughlin

USF Tampa Graduate Theses and Dissertations

This study is intended to provide researchers with empirically derived guidelines for conducting factor analytic studies in research contexts that include dichotomous and continuous levels of measurement. This study is based on the hypotheses that ordinary least squares (OLS) factor analysis will yield more accurate parameter estimates than maximum likelihood (ML) and principal axis factor anlaysis (PAF); the level of improvement in estimates will be related to the proportion of observed variables that are dichotomized and the strength of communalities within the data sets.

To achieve this study's objective, maximum likelihood, ordinary least squares, and principal axis factor extraction models …

Development Of The Chae Optimal Supervision Environment Test, Ki Byung Chae

Dissertations, Theses, and Masters Projects

No abstract provided.