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Showing 1 to 15 of 6,422 results Save | Export
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Kenneth Frank; Qinyun Lin; Spiro Maroulis; Shimeng Dai, Contributor; Nicole Jess, Contributor; Hung-Chang Lin, Contributor; Yuqing Liu, Contributor; Sarah Maestrales, Contributor; Ellen Searle, Contributor; Jordan Tait, Contributor – Grantee Submission, 2025
Sensitivity analyses can inform evidence-based education policy by quantifying the hypothetical conditions necessary to change an inference. Perhaps the most prevalent index used for sensitivity analyses is Oster's (2019) Coefficient of Proportionality (COP). Oster's COP leverages changes in estimated effects and R[superscript 2] when observed…
Descriptors: Statistical Analysis, Correlation, Predictor Variables, Inferences
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Chris M. Fiacconi – Metacognition and Learning, 2024
The relationship between confidence and accuracy has long been an important and controversial topic within the field of human memory. In a recent review article, Schwartz (2024). "Inferential theories of retrospective confidence." Metacognition & Learning.) competently summarized some of the key empirical findings on this issue and…
Descriptors: Memory, Self Esteem, Accuracy, Correlation
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William Rhodes; Gerald Gaes; William Sabol – Evaluation Review, 2025
When individuals are released from prison, they typically enter a period of post confinement community supervision. While under community supervision, their behaviors are subject to special conditions requiring them to report to supervisors and prohibiting certain behaviors such as drug and alcohol use. Many supervisees are returned to prison…
Descriptors: Criminals, Recidivism, Crime Prevention, Supervision
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Tong-Rong Yang; Li-Jen Weng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In Savalei's (2011) simulation that evaluated the performance of polychoric correlation estimates in small samples, two methods for treating zero-frequency cells, adding 0.5 (ADD) and doing nothing (NONE), were compared. Savalei tentatively suggested using ADD for binary data and NONE for data with three or more categories. Yet, Savalei's…
Descriptors: Correlation, Statistical Distributions, Monte Carlo Methods, Sample Size
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Megan E. Kruskie; Rebecca L. Wisner; Jessica N. Byram; Tracy Vargo-Gogola; Andrew S. Deane – Anatomical Sciences Education, 2025
Pre-lab summary videos supplement gross anatomy courses by helping students navigate difficult concepts, increasing student confidence, and allowing for content review outside the laboratory. Few studies have examined the direct correlation between video viewing and performance outcomes. This study uses performance outcome data from six…
Descriptors: Anatomy, Video Technology, Program Effectiveness, Correlation
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Chenae Christensen-Duerden; Sarah Coyne – Journal of Youth Development, 2025
The objective of this study is to examine social media mindfulness and other social media habits as predictors of depression in adolescents. As depression and poor mental health increase for American adolescents, so does the research surrounding the positive outcomes associated with mindfulness. It is possible that mindfulness could be an…
Descriptors: Social Media, Metacognition, Predictor Variables, Depression (Psychology)
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Ashley Blake; Ewa Dabrowska; Miquel Llompart – Journal of Speech, Language, and Hearing Research, 2025
Purpose: There is a growing body of research on developmental language disorder (DLD), but very few studies have focused on the role of cognitive abilities in adulthood. The present study explored the relationship between cognition and language in adults with and without DLD. Method: Sixty participants, 30 language typical (LT) adults and 30 with…
Descriptors: Developmental Delays, Language Impairments, Cognitive Ability, Adults
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Hadar Ram; Guy Grinfeld; Nira Liberman – npj Science of Learning, 2024
We show that learners generalized more broadly around the learned stimulus when they expected more variability between the learning set and the generalization set, as well as within the generalization set. Experiments 1 and 3 used a predictive learning task and demonstrated border perceptual generalization both when expected variability was…
Descriptors: Generalization, Predictor Variables, Learning Processes, Correlation
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Shone, Enkosa Terefe; Weldemeskel, Fisseha Mikre; Worku, Berhanu Nigussie – Psychology in the Schools, 2024
Deterioration of students' mathematics achievement has been a common problem while their mathematics perception and self-efficacy have been reported to determine their achievement. However, little is known about the potential relationships among them. Therefore, this study attempted to investigate the extent of influence of students' mathematics…
Descriptors: Mathematics Achievement, Self Efficacy, Student Attitudes, Correlation
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Bo Zhang; Jing Luo; Susu Zhang; Tianjun Sun; Don C. Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Oblique bifactor models, where group factors are allowed to correlate with one another, are commonly used. However, the lack of research on the statistical properties of oblique bifactor models renders the statistical validity of empirical findings questionable. Therefore, the present study took the first step to examine the statistical properties…
Descriptors: Correlation, Predictor Variables, Monte Carlo Methods, Statistical Bias
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Hülya Gülay-Ogelman; Ilkay Göktas; Döne Kahveci – International Journal of Contemporary Educational Research, 2025
Purpose of the research is to examine the predictive effect of self-compassion levels of preschool period children's mothers over children's loneliness levels. The research was conducted with 196 children, between the ages of 60-72 months and who are attending preschool education in a metropolis in the South-eastern Anatolia Region, and their…
Descriptors: Mothers, Preschool Children, Altruism, Psychological Patterns
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Tracy M. Zehner; Tanya M. Paes; Brianna L. Devlin; Elyssa A. Geer; Germán Posada; Robert J. Duncan; David J. Purpura; Sara A. Schmitt – Early Education and Development, 2024
Research Findings: This study examined the association between preschool children's social-emotional competence (SEC), defined by their social skills and problem behaviors, and numeracy skills. It also examined if any subdomains of SEC predicted preschool numeracy above and beyond latent social skills or problem behaviors variables. Data came from…
Descriptors: Numeracy, Interpersonal Competence, Predictor Variables, Correlation
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Natalia Reig-Aleixandre; Belén Obispo-Díaz; Teresa de Dios-Alija; Carmen de la Calle-Maldonado – International Journal of Educational Psychology, 2024
Universities must confront social challenges and prepare their students to be future socially responsible professionals. This research considers social responsibility in depth and examines how it can be promoted among university students. Specifically, it analyses whether prosocial behaviour and moral values are predictor variables, and to study…
Descriptors: Moral Values, Prosocial Behavior, Social Responsibility, College Students
Cindy Karikari – ProQuest LLC, 2024
The influence of andragogical principles on employee motivation to transfer training was examined in this study. The research problem is whether the principles of andragogy (Need to Know, Self-Concept, Experience, Readiness to Learn, Orientation to Learning, and Motivation to Learn) predict motivation to transfer training among individuals who…
Descriptors: Motivation, Transfer of Training, Correlation, Employees
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Guangjian Zhang; Lauren A. Trichtinger; Dayoung Lee; Ge Jiang – Structural Equation Modeling: A Multidisciplinary Journal, 2022
Many applications of structural equation modeling involve ordinal (e.g., Likert) variables. A popular way of dealing with ordinal variables is to estimate the model with polychoric correlations rather than Pearson correlations. Such an estimation also requires the asymptotic covariance matrix of polychoric correlations. It is computationally…
Descriptors: Structural Equation Models, Predictor Variables, Correlation, Computation
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