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Meltem Acar Güvendir; Seda Donat Bacioglu; Hasan Özgür; Sefa Uyanik; Fatmagül Gürbüz Akçay; Emre Güvendir – International Journal of Psychology and Educational Studies, 2025
Different types of test items influence students' test anxiety, and physiological measures such as heart rate provide a means of measuring this anxiety. This study aimed to explore the connection between test anxiety and examination item formats. It centered on 20 junior university students in Western Türkiye. The research monitored students'…
Descriptors: Foreign Countries, Test Anxiety, Measurement Techniques, Physiology
Melanie Joann Ventura – ProQuest LLC, 2024
In clinical and forensic evaluations, clinical neuropsychologists measure performance validity using standalone and embedded measures. Given the need to capture neuropsychological functioning through a variety of cognitive tests, newer, more sensitive measures should be evaluated for their utility in comparison to already established measures.…
Descriptors: Intelligence Tests, Adults, Measurement Techniques, Vocabulary
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Timothy R. Konold; Elizabeth A. Sanders; Kelvin Afolabi – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Measurement invariance (MI) is an essential part of validity evidence concerned with ensuring that tests function similarly across groups, contexts, and time. Most evaluations of MI involve multigroup confirmatory factor analyses (MGCFA) that assume simple structure. However, recent research has shown that constraining non-target indicators to…
Descriptors: Evaluation Methods, Error of Measurement, Validity, Monte Carlo Methods
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Tenko Raykov; Lisa Calvocoressi; Randall E. Schumacker – Measurement: Interdisciplinary Research and Perspectives, 2024
This paper is concerned with the process of selecting between the increasingly popular bi-factor model and the second-order factor model in measurement research. It is indicated that in certain settings widely used in empirical studies, the second-order model is nested in the bi-factor model and obtained from the latter after imposing appropriate…
Descriptors: Factor Analysis, Decision Making, Computer Software, Measurement Techniques
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John Gero; Julie Milovanovic – Creativity Research Journal, 2024
In this paper, we explore measurements of design creativity through metrics related to the processes used in designing and relate them to the metrics used in psychology for idea creativity, ie, novelty and fluency. Our goal was to test the reliability of psychometric measures of creativity to assess creativity in team design. We studied 19 teams…
Descriptors: Correlation, Creativity, Psychology, Psychometrics
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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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Gottfried, Jaroslav; Ježek, Stanislav; Králová, Maria; Rihácek, Tomáš – Practical Assessment, Research & Evaluation, 2022
Valid data are essential for making correct theoretical and practical implications. Hence, efficient methods for detecting and excluding data with dubious validity are highly valuable in any field of science. This paper introduces the idea of applying autocorrelation analysis on self-report questionnaires with single-choice numbered, preferably…
Descriptors: Questionnaires, Screening Tests, Measurement Techniques, Correlation
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Liu, Xiaoling; Cao, Pei; Lai, Xinzhen; Wen, Jianbing; Yang, Yanyun – Educational and Psychological Measurement, 2023
Percentage of uncontaminated correlations (PUC), explained common variance (ECV), and omega hierarchical ([omega]H) have been used to assess the degree to which a scale is essentially unidimensional and to predict structural coefficient bias when a unidimensional measurement model is fit to multidimensional data. The usefulness of these indices…
Descriptors: Correlation, Measurement Techniques, Prediction, Regression (Statistics)
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Klee, Holly L.; Miller, Angela D.; Buehl, Michelle M. – Journal of Experimental Education, 2023
Social cognitive theory suggests students with low mathematics self-concept and low mathematics self-efficacy often display high mathematics anxiety. A better understanding of the antecedents of mathematics anxiety could lead to more effective interventions. However, findings from empirical research examining mathematics self-concept and…
Descriptors: Self Concept, Mathematics Anxiety, Self Efficacy, Correlation
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Paiva Barbosa, Victor; Bastos Silveira, Bruna; Amorim dos Santos, Juliana; Monteiro, Mylene Martins; Coletta, Ricardo D.; De Luca Canto, Graziela; Stefani, Cristine Miron; Guerra, Eliete Neves Silva – Research Synthesis Methods, 2023
Systematic reviews (SRs) of preclinical studies are marked with poor methodological quality. In vitro studies lack assessment tools to improve the quality of preclinical research. This methodological study aimed to identify, collect, and analyze SRs based on cell culture studies to highlight the current appraisal tools utilized to support the…
Descriptors: Cytology, Research, Research Methodology, Correlation
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Raykov, Tenko; Anthony, James C.; Menold, Natalja – Educational and Psychological Measurement, 2023
The population relationship between coefficient alpha and scale reliability is studied in the widely used setting of unidimensional multicomponent measuring instruments. It is demonstrated that for any set of component loadings on the common factor, regardless of the extent of their inequality, the discrepancy between alpha and reliability can be…
Descriptors: Correlation, Evaluation Research, Reliability, Measurement Techniques
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Göbel, Kyra; Hensel, Lisa; Schultheiss, Oliver C.; Niessen, Cornelia – Applied Cognitive Psychology, 2022
We meta-analytically examined correlations between task-based and self-report thought control measures as well as potential moderators. Results of a frequentist meta-analysis indicate that the two measures do not overlap, r = 0.07, 95% CI [-0.01;0.15] (k = 20; N = 1194); subgroup analyses for different self-report measures r = 0.12; 95% CI…
Descriptors: Cognitive Processes, Task Analysis, Measurement Techniques, Correlation
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Sijia Huang; Dubravka Svetina Valdivia – Educational and Psychological Measurement, 2024
Identifying items with differential item functioning (DIF) in an assessment is a crucial step for achieving equitable measurement. One critical issue that has not been fully addressed with existing studies is how DIF items can be detected when data are multilevel. In the present study, we introduced a Lord's Wald X[superscript 2] test-based…
Descriptors: Item Analysis, Item Response Theory, Algorithms, Accuracy
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Manon D. Gouiran; Florian Cova – Cognitive Science, 2024
Past research on people's moral judgments about moral dilemmas has revealed a connection between utilitarian judgment and reflective cognitive style. This has traditionally been interpreted as reflection is conducive to utilitarianism. However, recent research shows that the connection between reflective cognitive style and utilitarian judgments…
Descriptors: Moral Values, Cognitive Style, Prosocial Behavior, Decision Making
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Seyma Özdemir; Cemal Tosun – Education and Information Technologies, 2025
The aim of this study was to determine the visual measurement results related to the behavior/processes of solving skill-based science questions of eighth grade students by eye tracking technique. Non-experimental quantitative research method was used in the research and visual measurement results were supported by heat maps and eye splash…
Descriptors: Grade 8, Eye Movements, Problem Solving, Science Education
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