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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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Stephen Porter – Asia Pacific Education Review, 2024
Instrumental variables is a popular approach for causal inference in education when randomization of treatment is not feasible. Using a first-year college program as a running example, this article reviews the five assumptions that must be met to successfully use instrumental variables to estimate a causal effect with observational data: SUTVA,…
Descriptors: Causal Models, Educational Research, College Freshmen, Observation
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William Schuler; Shisen Yue – Cognitive Science, 2024
This article evaluates the predictions of an algorithmic-level distributed associative memory model as it introduces, propagates, and resolves ambiguity, and compares it to the predictions of computational-level parallel parsing models in which ambiguous analyses are accounted separately in discrete distributions. By superposing activation…
Descriptors: Short Term Memory, Algorithms, Vocabulary, Context Effect
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Kelsey Young; Bryn Harris; Jennifer Hall-Lande; Amy Esler – Journal of Autism and Developmental Disorders, 2024
Though there is evidence autism identification has been inequitable for populations who are culturally and linguistically minoritized, there is limited research that explains the issue of disproportionality and factors contributing to its occurrence, especially within an educational setting. To explore contributors to racial/ethnic disparities in…
Descriptors: Autism Spectrum Disorders, Eligibility, Predictor Variables, Children
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Haixiang Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Mediation analysis is an important statistical tool in many research fields, where the joint significance test is widely utilized for examining mediation effects. Nevertheless, the limitation of this mediation testing method stems from its conservative Type I error, which reduces its statistical power and imposes certain constraints on its…
Descriptors: Structural Equation Models, Statistical Significance, Robustness (Statistics), Comparative Testing
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Xiao Wen; Hu Juan – Interactive Learning Environments, 2024
To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC learning behavior of self-paced students was analyzed, and two well-known MOOC datasets were used for analysis and validation. The findings are as follows:…
Descriptors: MOOCs, Dropouts, Dropout Characteristics, Dropout Research
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Sang-June Park; Youjae Yi – Journal of Educational and Behavioral Statistics, 2024
Previous research explicates ordinal and disordinal interactions through the concept of the "crossover point." This point is determined via simple regression models of a focal predictor at specific moderator values and signifies the intersection of these models. An interaction effect is labeled as disordinal (or ordinal) when the…
Descriptors: Interaction, Predictor Variables, Causal Models, Mathematical Models
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Cathy Hauspie; Stijn Schelfhout; Nicolas Dirix; Lot Fonteyne; Mark Janse; Arnaud Szmalec; Alexandra Vereeck; Wouter Duyck – Language Learning, 2024
Studying Latin in secondary education is still widespread in Europe and believed to result in cognitive benefits, even beyond the linguistic domain. In this study we explored the relation between such study and later academic achievement in higher education (N = 1,898). First, we demonstrated that Latin students exhibit increased levels of study…
Descriptors: Latin, Second Language Learning, Secondary Education, Higher Education
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Florencia Torche; Jason Fletcher; Jennie E. Brand – RSF: The Russell Sage Foundation Journal of the Social Sciences, 2024
Disruptive events such as economic recessions, natural disasters, job loss, and divorce are highly prevalent among American families. These events can have a long-lasting impact when experienced during childhood, potentially altering academic achievement, socioemotional well-being, health and development, and later life socioeconomic status. Much…
Descriptors: Early Experience, Health, Family Environment, Economic Factors
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Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA and RI-LPTA for examination has negligible impact on the estimation of transition probability parameters when the population parameters are generated…
Descriptors: Monte Carlo Methods, Predictor Variables, Research Methodology, Test Bias
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Anders Holm; Anders Hjorth-Trolle; Robert Andersen – Sociological Methods & Research, 2025
Lagged dependent variables (LDVs) are often used as predictors in ordinary least squares (OLS) models in the social sciences. Although several estimators are commonly employed, little is known about their relative merits in the presence of classical measurement error and different longitudinal processes. We assess the performance of four commonly…
Descriptors: Elementary Education, Scores, Error of Measurement, Predictor Variables
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Jiwon Lee; Brian Barger – Journal of Autism and Developmental Disorders, 2024
Although poor health has been reported in parents of children with autism spectrum disorder (ASD), most studies excluded fathers and focused on mental health. We combined 2016-2019 data from the National Surveys of Children's Health to determine child and parent characteristics that predict poor mental and physical health in fathers (n = 818) and…
Descriptors: Autism Spectrum Disorders, Individual Characteristics, Fathers, Mothers
Aleksandr Shneyderman – Research Services, Miami-Dade County Public Schools, 2024
This purpose of this Research Brief is to analyze trends and general patterns of student in-grade retention among students in grades K-8 within the Miami-Dade County Public School (M-DCPS) for the 2022-2023 school year. While in-grade retention in grades 9-12 may occur due to the lack of credit in one or more courses, students often recover these…
Descriptors: Grade Repetition, Elementary School Students, Middle School Students, County School Districts
Commonfund Institute, 2024
Commonfund's Higher Education Price Index® (HEPI) data show that costs for colleges and universities rose 3.4 percent in FY2024, a decreased rate of inflation compared with 4.0 in FY2023 and 5.2 percent in FY2022. (FY2024 covers the period from July 1, 2023, to June 30, 2024, and coincides with the budget year of most educational institutions.)…
Descriptors: Higher Education, Cost Indexes, Economic Climate, Educational Finance