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Doran, Harold – Journal of Educational and Behavioral Statistics, 2023
This article is concerned with a subset of numerically stable and scalable algorithms useful to support computationally complex psychometric models in the era of machine learning and massive data. The subset selected here is a core set of numerical methods that should be familiar to computational psychometricians and considers whitening transforms…
Descriptors: Scaling, Algorithms, Psychometrics, Computation
Edgar C. Merkle; Oludare Ariyo; Sonja D. Winter; Mauricio Garnier-Villarreal – Grantee Submission, 2023
We review common situations in Bayesian latent variable models where the prior distribution that a researcher specifies differs from the prior distribution used during estimation. These situations can arise from the positive definite requirement on correlation matrices, from sign indeterminacy of factor loadings, and from order constraints on…
Descriptors: Models, Bayesian Statistics, Correlation, Evaluation Methods
Ben Stenhaug; Ben Domingue – Grantee Submission, 2022
The fit of an item response model is typically conceptualized as whether a given model could have generated the data. We advocate for an alternative view of fit, "predictive fit", based on the model's ability to predict new data. We derive two predictive fit metrics for item response models that assess how well an estimated item response…
Descriptors: Goodness of Fit, Item Response Theory, Prediction, Models
McFarland, Dennis – Journal of Intelligence, 2020
Network models of the WAIS-IV based on regularized partial correlation matrices have been reported to outperform latent variable models based on uncorrected correlation matrices. The present study sought to compare network and latent variable models using both partial and uncorrected correlation matrices with both types of models. The results show…
Descriptors: Correlation, Matrices, Adults, Intelligence Tests
Arens, A. Katrin; Jansen, Malte; Preckel, Franzis; Schmidt, Isabelle; Brunner, Martin – Review of Educational Research, 2021
The structure of academic self-concept (ASC) is assumed to be multidimensional and hierarchical. This methodological review considers the most central models depicting the structure of ASC: a higher-order factor model, the Marsh/Shavelson model, the nested Marsh/Shavelson model, a bifactor representation based on exploratory structural equation…
Descriptors: Foreign Countries, High School Students, Self Concept, Models
Investigation of Education Value Perception Scale's Psychometric Properties According to CTT and IRT
Dilek, Harun; Akbas, Ufuk – International Journal of Assessment Tools in Education, 2022
The purpose of this study is to develop Education Value Perception Scale (EVPS) based on Bronfenbrenner's Ecological Theory and to investigate its psychometric properties according to Classical Test Theory (CTT) and Item Response Theory (IRT). The data were collected from 2872 secondary school students by stratified purposeful sampling method.…
Descriptors: Item Response Theory, Psychometrics, Systems Approach, Measures (Individuals)
Brenner, Leon S. – Creativity Research Journal, 2019
A strong relationship between creativity and major depression has been attested to in many past studies. These suggest a correlation between high creative propensity and the prevalence of depression as well as attribute the implementation of creative tasks in therapy with the facilitation and reduction of depressive symptoms. This article supports…
Descriptors: Creativity, Depression (Psychology), Correlation, Incidence
Leventhal, Brian C.; Stone, Clement A. – Measurement: Interdisciplinary Research and Perspectives, 2018
Interest in Bayesian analysis of item response theory (IRT) models has grown tremendously due to the appeal of the paradigm among psychometricians, advantages of these methods when analyzing complex models, and availability of general-purpose software. Possible models include models which reflect multidimensionality due to designed test structure,…
Descriptors: Bayesian Statistics, Item Response Theory, Models, Psychometrics
Horwood, Marcus; Marsh, Herbert W.; Parker, Philip D.; Riley, Philip; Guo, Jiesi; Dicke, Theresa – Journal of Educational Psychology, 2021
Paradoxically, school leaders as a group report high levels of burnout but also high job satisfaction and passion for their work. School principals are passionate about their job, but this passion can be a double-edged sword leading to good (job satisfaction) and bad (burnout) outcomes. We extend the dualistic model of passion (DMP) in a study of…
Descriptors: Instructional Leadership, Principals, Burnout, Job Satisfaction
Kanonire, Tatjana; Federiakin, Denis A.; Uglanova, Irina L. – School Psychology, 2020
The study proposes a multicomponent model of subjective well-being (SWB) in elementary school. The model includes satisfaction with school, affect toward school, well-being related to communication with peers, and subjective physical well-being. The aim of this study is to verify whether well-being related to different aspects of school life can…
Descriptors: Guidelines, Well Being, Elementary School Students, Models
Bukhari, Nurliyana – ProQuest LLC, 2017
In general, newer educational assessments are deemed more demanding challenges than students are currently prepared to face. Two types of factors may contribute to the test scores: (1) factors or dimensions that are of primary interest to the construct or test domain; and, (2) factors or dimensions that are irrelevant to the construct, causing…
Descriptors: Item Response Theory, Models, Psychometrics, Computer Simulation
Liu, Ren; Huggins-Manley, Anne Corinne; Bulut, Okan – Educational and Psychological Measurement, 2018
Developing a diagnostic tool within the diagnostic measurement framework is the optimal approach to obtain multidimensional and classification-based feedback on examinees. However, end users may seek to obtain diagnostic feedback from existing item responses to assessments that have been designed under either the classical test theory or item…
Descriptors: Models, Item Response Theory, Psychometrics, Test Construction
Osler, James Edward, II – Journal on Educational Psychology, 2016
The overall aim of this paper is to provide an epistemological rational for the measurement of intentionality. The purpose of this narrative is to identify "Intentionality" as an arena of action in the dispositional learning domain can be measured using an "Intentionality Measurement Instrument" [also referred by the acronym…
Descriptors: Measures (Individuals), Intention, Motivation, Personality
Ferreira, Aristides I.; Rodrigues, Rosa I.; da Costa Ferreira, Paula – International Journal for Educational and Vocational Guidance, 2016
In this study, we present the development of a vocational interest scale for university students studying psychology. Three dimensions were extracted through principal component analysis, namely, organizational, educational, and clinical psychology. A second study with confirmatory factor analysis replicated the same three factors obtained in the…
Descriptors: Vocational Interests, Student Interests, Psychology, College Students
Varela, Otmar; Mead, Esther – Journal of Education for Business, 2018
Popular teamwork assessments have been strongly criticized on the grounds of poor psychometric properties and their disconnect with conceptual models of teamwork. These issues raise concerns with respect to our ability to evaluate efforts devoted to advancing teamwork in academia. We report the development of a teamwork assessment that builds on…
Descriptors: Teamwork, Evaluation Methods, Test Validity, Psychometrics