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Eti, Inanç – Early Child Development and Care, 2023
The purpose of this study is to investigate the predictive effects of maternal parenting styles and beliefs about emotions on the social skills and problem behaviours of preschoolers. The study involved 227 mothers of 3-6-year-old preschool children (M[subscript age] = 63 months). Two hierarchical regression analyses were conducted to determine to…
Descriptors: Mothers, Parenting Styles, Beliefs, Parent Attitudes
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Grace Pai – Current Issues in Comparative Education, 2023
As interest in addressing issues of diversity, equity and inclusion (DEI) increases in the US and parts of Europe, this essay argues that the Western-centered interpretations of and approaches towards evaluating equity need to be more carefully examined to deem its cultural appropriateness. This essay reviews ways to conceive of equity and…
Descriptors: Equal Education, Cultural Pluralism, Inclusion, Evaluation Methods
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Disha, Ilir; Vollman, Brenda K. – Open Learning, 2023
Open Educational Resources (OER) are regularly adopted, yet questions persist about efficacy. Do OER improve student performance? Research produces ambiguous results, because these are derived from small sample sizes, inadequate efficacy measures, and neglect of interactional effects. We examine the effect of OER on student grades using over…
Descriptors: Open Educational Resources, Academic Achievement, Learning Trajectories, Instructional Effectiveness
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Billion, Lara Kristina – Statistics Education Research Journal, 2023
This paper focuses on two third-grade students' work on the same statistical question whereby one acts with analogue material and the other with TinkerPlots™. The aim of the research was to find out whether different material influences the actions and, thus, possibly the mathematical interpretations of the learners. To investigate this research…
Descriptors: Semiotics, Statistics Education, Teaching Methods, Elementary School Students
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Watson, Jane; Wright, Suzie; Fitzallen, Noleine; Kelly, Ben – Mathematics Education Research Journal, 2023
Integrated STEM activities are espoused as appropriate for enhancing student learning in relation to statistical concepts; however, a greater understanding of the way in which students' ideas about those concepts develop is needed to maximise the learning potential offered by engagement in STEM activities. For this study, plant growth was chosen…
Descriptors: STEM Education, Plants (Botany), Science Curriculum, Foreign Countries
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Ari Anisfeld; Elizabeth Bell; Oded Gurantz; Dennis Kramer – Society for Research on Educational Effectiveness, 2023
The administration of college financial aid is a key venue through which colleges can affect the likelihood that students will make it to graduation. We investigate the effects of an understudied yet consequential federal student aid policy: Return of Title IV Funds (R2T4). Under R2T4, students "earn" Federal Student Aid over a term or…
Descriptors: College Students, Student Financial Aid, Federal Aid, Educational Legislation
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Reimers, Jennifer; Turner, Ronna C.; Tendeiro, Jorge N.; Lo, Wen-Juo; Keiffer, Elizabeth – Measurement: Interdisciplinary Research and Perspectives, 2023
Person-fit analyses are commonly used to detect aberrant responding in self-report data. Nonparametric person fit statistics do not require fitting a parametric test theory model and have performed well compared to other person-fit statistics. However, detection of aberrant responding has primarily focused on dominance response data, thus the…
Descriptors: Goodness of Fit, Nonparametric Statistics, Error of Measurement, Comparative Analysis
Egamaria Alacam; Craig K. Enders; Han Du; Brian T. Keller – Grantee Submission, 2023
Composite scores are an exceptionally important psychometric tool for behavioral science research applications. A prototypical example occurs with self-report data, where researchers routinely use questionnaires with multiple items that tap into different features of a target construct. Item-level missing data are endemic to composite score…
Descriptors: Regression (Statistics), Scores, Psychometrics, Test Items
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Brent J. Goertzen; Kaley Klaus – Research & Practice in Assessment, 2023
When evaluating student learning, educators often employ scoring rubrics, for which quality can be determined through evaluating validity and reliability. This article discusses the norming process utilized in a graduate organizational leadership program for a capstone scoring rubric. Concepts of validity and reliability are discussed, as is the…
Descriptors: Graduate Students, Graduate Study, Graduate School Faculty, Scoring Rubrics
Corey Shanbrom; Michelle Norris; Caitlin Esgana; Matthew Krauel; Vincent Pigno; Jennifer Lundmark – Grantee Submission, 2023
The Peer Assisted Learning (PAL) program at Sacramento State was established in 2012 with one section supporting introductory chemistry. The program now serves 17 courses with high rates of students who receive a D or an F or withdraw (DFW) from the course in biology, chemistry, mathematics, physics, and statistics; the program enrolls…
Descriptors: Peer Teaching, Biology, Chemistry, Mathematics
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Corey Shanbrom; Michelle Norris; Caitlin Esgana; Matthew Krauel; Vincent Pigno; Jennifer Lundmark – Journal of College Science Teaching, 2023
The Peer Assisted Learning (PAL) program at Sacramento State was established in 2012 with one section supporting introductory chemistry. The program now serves 17 courses with high rates of students who receive a D or an F or withdraw (DFW) from the course in biology, chemistry, mathematics, physics, and statistics; the program enrolls…
Descriptors: Peer Teaching, Biology, Chemistry, Mathematics
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Pustejovsky, James Eric; Furman, Gleb – AERA Online Paper Repository, 2017
In linear regression models estimated by ordinary least squares, it is often desirable to use hypothesis tests and confidence intervals that remain valid in the presence of heteroskedastic errors. Wald tests based on heteroskedasticity-consistent covariance matrix estimators (HCCMEs, also known as sandwich estimators or simply "robust"…
Descriptors: Hypothesis Testing, Sample Size, Regression (Statistics), Computation
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Kohli, Nidhi; Peralta, Yadira; Zopluoglu, Cengiz; Davison, Mark L. – International Journal of Behavioral Development, 2018
Piecewise mixed-effects models are useful for analyzing longitudinal educational and psychological data sets to model segmented change over time. These models offer an attractive alternative to commonly used quadratic and higher-order polynomial models because the coefficients obtained from fitting the model have meaningful substantive…
Descriptors: Hierarchical Linear Modeling, Longitudinal Studies, Maximum Likelihood Statistics, Bayesian Statistics
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Marland, Eric; Bossé, Michael J.; Rhoads, Gregory – PRIMUS, 2018
Rounding is a necessary step in many mathematical processes. We are taught early in our education about significant figures and how to properly round a number. So when we are given a data set and asked to find a regression line, we are inclined to offer the line with rounded coefficients to reflect our model. However, the effects are not as…
Descriptors: Least Squares Statistics, Regression (Statistics), Computer Simulation, Equations (Mathematics)
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Monica F. Contrino; Maribell Reyes-Millán; Patricia Vázquez-Villegas; Jorge Membrillo-Hernández – Smart Learning Environments, 2024
It is becoming increasingly clear that not all students require the same education, and the requirement of personalized education is increasingly in demand. The incorporation of adaptive learning (AL) has increased in recent years. However, research on this subject is still evolving at the university level. In this study, we investigated the…
Descriptors: Individualized Instruction, Academic Achievement, Student Satisfaction, Online Courses
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