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Cristan Farmer; Aaron J. Kaat; Michael C. Edwards; Luc Lecavalier – American Journal on Intellectual and Developmental Disabilities, 2024
Measurement invariance (MI) is a psychometric property of an instrument indicating the degree to which scores from an instrument are comparable across groups. In recent years, there has been a marked uptick in publications using MI in intellectual and developmental disability (IDD) samples. Our goal here is to provide an overview of why MI is…
Descriptors: Measurement, Psychometrics, Scores, Intellectual Disability
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Guo, Jinxin; Xu, Xin; Xin, Tao – Journal of Educational Measurement, 2023
Missingness due to not-reached items and omitted items has received much attention in the recent psychometric literature. Such missingness, if not handled properly, would lead to biased parameter estimation, as well as inaccurate inference of examinees, and further erode the validity of the test. This paper reviews some commonly used IRT based…
Descriptors: Psychometrics, Bias, Error of Measurement, Test Validity
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Tavares, Walter; Kinnear, Benjamin; Schumacher, Daniel J.; Forte, Milena – Advances in Health Sciences Education, 2023
In this perspective, the authors critically examine "rater training" as it has been conceptualized and used in medical education. By "rater training," they mean the educational events intended to "improve" rater performance and contributions during assessment events. Historically, rater training programs have focused…
Descriptors: Medical Education, Interrater Reliability, Evaluation Methods, Training
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Cleary, Timothy J.; Russo, Michelle R. – Psychology in the Schools, 2024
As the importance of student self-regulated learning (SRL) among school-aged populations continues to increase, there is an emerging need for school psychologists and other school professionals to develop the knowledge and skills to effectively assess this process. The current paper provides a conceptual and empirical overview of a multimethod SRL…
Descriptors: Guidelines, Metacognition, Diagnostic Tests, Psychometrics
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Carpentras, Dino; Quayle, Michael – International Journal of Social Research Methodology, 2023
Agent-based models (ABMs) often rely on psychometric constructs such as 'opinions', 'stubbornness', 'happiness', etc. The measurement process for these constructs is quite different from the one used in physics as there is no standardized unit of measurement for opinion or happiness. Consequently, measurements are usually affected by 'psychometric…
Descriptors: Psychometrics, Error of Measurement, Models, Prediction
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Ezgi Mor; Rabia Karatoprak Ersen – International Journal of Assessment Tools in Education, 2023
The argument-based approach is the current framework for validity and validation. One of the criticisms is that understanding and applying this approach to practice are complicated and require abstract thinking. Teachers or school administrators in teaching and learning need support in their validation practice. Due to the abstract structure of…
Descriptors: Educational Assessment, Student Evaluation, Test Validity, Psychometrics
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Maria Mirandi; Adriana Lis; Claudia Mazzeschi; Elisa Delvecchio – European Journal of Developmental Psychology, 2024
Perceived parenting is a crucial and complex factor for the psychological well-being of adolescents. The Adolescent Family Process Short-Form (AFP-SF) investigates the perception of adolescents' maternal and paternal parenting across six dimensions: closeness, support, communication, monitoring, peer approval, and conflict. This was the first…
Descriptors: Foreign Countries, Adolescents, Parent Child Relationship, Adolescent Attitudes
Jing Ouyang; Gongjun Xu – Grantee Submission, 2022
Latent class models with covariates are widely used for psychological, social, and educational research. Yet the fundamental identifiability issue of these models has not been fully addressed. Among the previous research on the identifiability of latent class models with covariates, Huang and Bandeen-Roche (Psychometrika 69:5-32, 2004) studied the…
Descriptors: Item Response Theory, Models, Identification, Psychological Studies
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Pichot, Nicolas; Bonetto, Eric; Pavani, Jean-Baptiste; Arciszewski, Thomas; Bonnardel, Nathalie; Weisberg, Robert W. – Creativity Research Journal, 2022
In scientific research on creativity, there has been considerable debate concerning the criteria by which a production can be judged more or less creative, that is, about the definition of "creativity." The most frequent definition -- the "standard" definition -- incorporates the criteria of "novelty" and…
Descriptors: Creativity, Novelty (Stimulus Dimension), Definitions, Construct Validity
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Bates, Agnieszka – Critical Studies in Education, 2023
Growing societal concern about a crisis in the wellbeing of young people has prompted a range of responses from governments and corporations, predicated on an ideal of the resilient, self-reliant individual. Behavioural economists, data scientists and educational technology companies now offer a variety of psychological interventions based on…
Descriptors: Well Being, Psychometrics, Interpersonal Relationship, Social Emotional Learning
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Montuori, Luke M.; Montefiori, Lara – Journal of Intelligence, 2022
For decades, the field of workplace selection has been dominated by evidence that cognitive ability is the most important factor in predicting performance. Meta-analyses detailing the contributions of a wide-range of factors to workplace performance show that cognitive ability's contribution is partly mediated by the learning of task-relevant…
Descriptors: Learning Processes, Cognitive Ability, Job Performance, Psychometrics
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Ke-Hai Yuan; Zhiyong Zhang – Grantee Submission, 2022
Structural equation modeling (SEM) is a widely used technique for studies involving latent constructs. While covariance-based SEM (CB-SEM) permits estimating the regression relationship among latent constructs, the parameters governing this relationship do not apply to that among the scored values of the constructs, which are needed for…
Descriptors: Psychometrics, Structural Equation Models, Scores, Least Squares Statistics
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Stevenson, Claire; Baas, Matthijs; van der Maas, Han – Journal of Intelligence, 2021
Despite decades of extensive research on creativity, the field still combats psychometric problems when measuring individual differences in creative ability and people's potential to achieve real-world outcomes that are both original and useful. We think these seemingly technical issues have a conceptual origin. We therefore propose a minimal…
Descriptors: Creativity, Psychometrics, Individual Differences, Theories
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Isaksen, Scott G. – Creativity Research Journal, 2023
This article was stimulated by a review of instruments assessing creative and innovative social environments seventeen years ago. This stands alone as the only published, comprehensive, comparative review of multiple instruments aimed at this conceptual space. Although this review provided an important contribution to the literature, there are a…
Descriptors: Creativity, Innovation, Work Environment, Creativity Tests
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Finney, Sara J.; Gilmore, Gabriel R.; Alahmadi, Sarah – Research & Practice in Assessment, 2022
When engaging in outcomes assessment, higher education professionals (i.e., faculty, student affairs educators) are expected to gather reliable data and make valid inferences. Decisions about how to measure student learning and development outcomes impact inferences about the achievement of outcomes and determination of improvement efforts.…
Descriptors: Psychometrics, Outcome Measures, Higher Education, Student Evaluation
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