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Karl Schweizer; Andreas Gold; Dorothea Krampen; Stefan Troche – Educational and Psychological Measurement, 2024
Conceptualizing two-variable disturbances preventing good model fit in confirmatory factor analysis as item-level method effects instead of correlated residuals avoids violating the principle that residual variation is unique for each item. The possibility of representing such a disturbance by a method factor of a bifactor measurement model was…
Descriptors: Correlation, Factor Analysis, Measurement Techniques, Item Analysis
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Stephanie M. Bell; R. Philip Chalmers; David B. Flora – Educational and Psychological Measurement, 2024
Coefficient omega indices are model-based composite reliability estimates that have become increasingly popular. A coefficient omega index estimates how reliably an observed composite score measures a target construct as represented by a factor in a factor-analysis model; as such, the accuracy of omega estimates is likely to depend on correct…
Descriptors: Influences, Models, Measurement Techniques, Reliability
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Hoang V. Nguyen; Niels G. Waller – Educational and Psychological Measurement, 2024
We conducted an extensive Monte Carlo study of factor-rotation local solutions (LS) in multidimensional, two-parameter logistic (M2PL) item response models. In this study, we simulated more than 19,200 data sets that were drawn from 96 model conditions and performed more than 7.6 million rotations to examine the influence of (a) slope parameter…
Descriptors: Monte Carlo Methods, Item Response Theory, Correlation, Error of Measurement
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Markus T. Jansen; Ralf Schulze – Educational and Psychological Measurement, 2024
Thurstonian forced-choice modeling is considered to be a powerful new tool to estimate item and person parameters while simultaneously testing the model fit. This assessment approach is associated with the aim of reducing faking and other response tendencies that plague traditional self-report trait assessments. As a result of major recent…
Descriptors: Factor Analysis, Models, Item Analysis, Evaluation Methods
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Guo, Wenjing; Choi, Youn-Jeng – Educational and Psychological Measurement, 2023
Determining the number of dimensions is extremely important in applying item response theory (IRT) models to data. Traditional and revised parallel analyses have been proposed within the factor analysis framework, and both have shown some promise in assessing dimensionality. However, their performance in the IRT framework has not been…
Descriptors: Item Response Theory, Evaluation Methods, Factor Analysis, Guidelines
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Castillo-Diaz, Marcio Alexander; Gomes, Cristiano Mauro Assis; Jelihovschi, Enio Galinkin – International Journal of Educational Methodology, 2022
The field of studies in metacognition points to some limitations in the way the construct has traditionally been measured and shows a near absence of performance-based tests. The Meta-Text is a performance-based test recently created to assess components of cognition regulation: planning, monitoring, and judgment. This study presents the first…
Descriptors: Schemata (Cognition), Decision Making, Undergraduate Students, Foreign Countries
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Pere J. Ferrando; Fabia Morales-Vives; Ana Hernández-Dorado – Educational and Psychological Measurement, 2024
In recent years, some models for binary and graded format responses have been proposed to assess unipolar variables or "quasi-traits." These studies have mainly focused on clinical variables that have traditionally been treated as bipolar traits. In the present study, we have made a proposal for unipolar traits measured with continuous…
Descriptors: Item Analysis, Goodness of Fit, Accuracy, Test Validity
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Nguyen Huu Hoang – Language Teaching Research Quarterly, 2024
This study focuses on developing and validating a questionnaire to assess the integration of ICT by EFL teachers in higher education settings in Vietnam. Twenty EFL teachers from three language institutes participated in semi-structured interviews, generating 20 questionnaire items. Qualitative content analysis of the interview data provided…
Descriptors: Foreign Countries, Technology Integration, English (Second Language), Second Language Learning
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Zhao, Xin; Coxe, Stefany; Sibley, Margaret H.; Zulauf-McCurdy, Courtney; Pettit, Jeremy W. – Prevention Science, 2023
There has been increasing interest in applying integrative data analysis (IDA) to analyze data across multiple studies to increase sample size and statistical power. Measures of a construct are frequently not consistent across studies. This article provides a tutorial on the complex decisions that occur when conducting harmonization of measures…
Descriptors: Data Analysis, Sample Size, Decision Making, Test Items
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Baris Pekmezci, Fulya; Gulleroglu, H. Deniz – Eurasian Journal of Educational Research, 2019
Purpose: This study aims to investigate the orthogonality assumption, which restricts the use of Bifactor item response theory under different conditions. Method: Data of the study have been obtained in accordance with the Bifactor model. It has been produced in accordance with two different models (Model 1 and Model 2) in a simulated way.…
Descriptors: Item Response Theory, Accuracy, Item Analysis, Correlation
Kovich, Melissa Kaye – ProQuest LLC, 2020
Seligman (2011) introduced well-being theory as a multidimensional model to increase and measure well-being. The PERMA model of well-being theory defines well-being in terms of five constructs: Positive Emotion, Engagement, Relationships, Meaning, and Accomplishment. Together, these five constructs are the foundation of individual and community…
Descriptors: Models, Higher Education, Undergraduate Students, Well Being
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Sarid, Ariel; Haj-Yehia, Kussai; Shaham, Hait; Rigbi, Amihai – European Journal of Teacher Education, 2022
The purpose of this paper is to explore the kinds of motivation driving Arab and Jewish students in Israel to choose teaching as a career. This study addressed several issues that have been largely overlooked in previous research such as the focus on Content Value motives (the motivation to teach specific subjects) as well as linking demographic…
Descriptors: Jews, Arabs, Student Motivation, Teaching (Occupation)
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Eaton, Philip; Willoughby, Shannon – Physical Review Physics Education Research, 2020
As targeted, single-conception curriculum research becomes more prevalent in physics education research (PER), the need for a more sophisticated statistical understanding of the conceptual surveys used becomes apparent. Previously, the factor structure of the Force Concept Inventory (FCI) was examined using exploratory factor analysis (EFA) and…
Descriptors: Item Response Theory, Factor Analysis, Factor Structure, Models
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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)
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Yang, Hongwei; Su, Jian – International Review of Research in Open and Distributed Learning, 2021
The study revisited the community of inquiry (CoI) instrument for construct revalidation. To that end, the study used confirmatory factor analysis (CFA) to examine four competing models (unidimensional, correlated-factor, second-order factor, and bifactor models) on model fit statistics computed using parameter estimates from a statistical…
Descriptors: Inquiry, Communities of Practice, Factor Analysis, Correlation
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