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Use of the Model Statement in Determining the Veracity of Opinions
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Samantha Mann; Aldert Vrij; Haneen Deeb – Applied Cognitive Psychology, 2024
We examined the efficacy of a Model Statement to detect opinion lies. A total of 93 participants discussed their opinion about the recent strikes on two occasions, 1 week apart. In one interview they told the truth and in the other interview they lied. Each interview consisted of two phases. In Phase 1 they discussed their alleged opinion (truth…
Descriptors: Opinions, Accuracy, Deception, Credibility
Overall Model Fit Does Not Imply Linearity in Longitudinal Structural Equation Models: Examining Linear Change over Time Using Latent Variable Modeling
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Tenko Raykov; Christine DiStefano; Natalja Menold – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This article is concerned with the assumption of linear temporal development that is often advanced in structural equation modeling-based longitudinal research. The linearity hypothesis is implemented in particular in the popular intercept-and-slope model as well as in more general models containing it as a component, such as longitudinal…
Descriptors: Structural Equation Models, Hypothesis Testing, Longitudinal Studies, Research Methodology
Emergent Learning about Measurement and Uncertainty in an Inquiry Context: A Case from an Elementary Classroom
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Tang, Xiaowei; Shu, Gang; Wei, Bing; Levin, Daniel – Science Education, 2024
Students often learn about measurement uncertainty as an isolated topic, with a focus on generalizable strategies to manage uncertainty in scientific investigation. In this study, we report and analyze a case of emergent learning about measurement and uncertainty, in which students in a Chinese elementary school science class explored and…
Descriptors: Foreign Countries, Elementary School Students, Elementary School Science, Science Process Skills
Modeling Nonlinear Effects of Person-by-Item Covariates in Explanatory Item Response Models: Exploratory Plots and Modeling Using Smooth Functions
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Grantee Submission, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
Modeling Nonlinear Effects of Person-by-Item Covariates in Explanatory Item Response Models: Exploratory Plots and Modeling Using Smooth Functions
Peer reviewed Peer reviewed
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Journal of Educational Measurement, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics