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Isabella Toledo Caetano; Valter Paulo Neves Miranda; Fernanda Rocha de Faria; Cheryl Anne Howe; Paulo Roberto dos Santos Amorim – Measurement in Physical Education and Exercise Science, 2024
Latent Class Analysis (LCA) is a statistical method that can help researchers interested in better understanding the movement behaviors (MB) of children, based on the analysis of the level of physical activity (PA) and sedentary time (ST). This study aimed to evaluate and compare two models LCA (one for the accelerometer and one for the 24-hour…
Descriptors: Motion, Child Behavior, Multivariate Analysis, Measurement Techniques
Tetzlaff, Leonard; Edelsbrunner, Peter; Schmitterer, Alexandra; Hartmann, Ulrike; Brod, Garvin – Educational Psychology Review, 2023
Demonstrating the differential effectiveness of instructional approaches for learners is difficult because learners differ on multiple dimensions. The present study tests a person-centered approach to investigating differential effectiveness, in this case of reading instruction. In N = 517 German third-grade students, latent profile analysis…
Descriptors: Reading Instruction, Intervention, Grade 3, Elementary School Students
McClain, Cara M.; Elledge, L. Christian; Manring, Sam; Whitley, Marisa L.; Vernberg, Eric M. – Journal of Applied School Psychology, 2022
We examined associations between proactive and reactive aggression and peer likability across two academic years. Analyses were based on a sample of 442 elementary school children. Proactive and reactive aggression were assessed through self-report and peer likability was assessed via a peer nomination inventory. Data were collected in the fall…
Descriptors: Aggression, Peer Relationship, Elementary School Students, Longitudinal Studies
Luke Keele; Matthew Lenard; Lindsay Page – Journal of Research on Educational Effectiveness, 2021
Many interventions in education occur in settings where treatments are applied to groups. For example, a reading intervention may be implemented for all students in some schools and withheld from students in other schools. When such treatments are nonrandomly allocated, outcomes across the treated and control groups may differ due to the treatment…
Descriptors: Observation, Educational Research, Regression (Statistics), Multivariate Analysis
Hermans, Seppe; Gijsen, Marijn; Mombaers, Tine; van Petegem, Peter – International Journal of STEM Education, 2022
Background: Promoting and improving STEM education is being driven by economic concerns as modern economies have a rising demand for qualified researchers, technicians, and other STEM professionals. In addition, women remain under-represented in STEM-related fields, with significant economic and societal consequences. Abundant research has shown…
Descriptors: Gender Differences, Student Motivation, Profiles, STEM Education
Ng, Clarence; Graham, Steve; Liu, Xinghua; Lau, Kit-Ling; Tang, Kit-Yi – Reading and Writing: An Interdisciplinary Journal, 2022
Motives for writing is a new research area in the field of writing motivation. Recent studies have identified important motives for students' writing. Adding to this nascent foundation, the current study examined relationships between writing motives, writing self-efficacy and time spent on writing using a sample of grade 4 Chinese students in…
Descriptors: Writing (Composition), Self Efficacy, Time on Task, Foreign Countries
Saaatcioglu, Fatima Munevver – International Journal of Assessment Tools in Education, 2022
The aim of this study is to investigate the presence of DIF over the gender variable with the latent class modeling approach. The data were collected from 953 students who participated in the PISA 2018 8th-grade financial literacy assessment in the USA. Latent Class Analysis (LCA) approach was used to identify the latent classes, and the data fit…
Descriptors: International Assessment, Achievement Tests, Secondary School Students, Gender Differences
Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
Demos Michael; Nikolaos Tsigilis; Victoria Michaelidou; Athanasios Gregoriadis; Vicky Charalambous; Charalambos Vrasidas – Journal of Psychoeducational Assessment, 2024
The present study contributes to the development of effective measures to evaluate classroom climate, especially in elementary education where these remain limited. In addition, it addresses a typical "flaw" of several studies by approaching classroom climate as a group-level construct rather than an individual characteristic. Following…
Descriptors: Classroom Environment, Elementary Education, Elementary School Students, Grade 4
Capp, Gordon P.; Sullivan, Kathrine S.; Park, Yangjin – Oxford Review of Education, 2023
Few studies holistically examine how students experience the multiple dimensions of school climate and resilience promoting characteristics, or how these two constructs may be interrelated. This study utilised a sample of 78,550 7th, 9th, and 11th grade students in California. Roughly half of the participants were female (52%), and roughly half…
Descriptors: Educational Environment, Resilience (Psychology), Student Characteristics, Grade 7
Luke Keele; Matthew A. Lenard; Lindsay C. Page – Annenberg Institute for School Reform at Brown University, 2020
Many interventions in education occur in settings where treatments are applied to groups. For example, a reading intervention may be implemented for all students in some schools and withheld from students in other schools. When such treatments are non-randomly allocated, outcomes across the treated and control groups may differ due to the…
Descriptors: Observation, Educational Research, Regression (Statistics), Multivariate Analysis
Sisi Dong – ProQuest LLC, 2023
Cultural capital is a key term from the Social Reproduction Theory, and it is defined as the codes and practices that parents pass on to their children (Bourdieu, 1984). Previous empirical studies have confirmed the importance of cultural capital, and it is positively related to students' reading achievement (e.g., Kosutic, 2017; Noble &…
Descriptors: Elementary School Students, Parents, Reading Achievement, Cultural Capital
Liqun Yin; Ummugul Bezirhan; Matthias von Davier – International Electronic Journal of Elementary Education, 2025
This paper introduces an approach that uses latent class analysis to identify cut scores (LCA-CS) and categorize respondents based on context scales derived from largescale assessments like PIRLS, TIMSS, and NAEP. Context scales use Likert scale items to measure latent constructs of interest and classify respondents into meaningful ordered…
Descriptors: Multivariate Analysis, Cutting Scores, Achievement Tests, Foreign Countries
David Bamat – Measurement: Interdisciplinary Research and Perspectives, 2024
The National Assessment of Educational Progress (NAEP) program only reports state-level subgroup results if it samples at least 62 students identifying with the subgroup. Since some subgroups constitute small proportions of many states' general student populations, these minority subgroups are seldom sufficiently sampled to meet this sample size…
Descriptors: Reading Achievement, Achievement Gap, Prediction, National Competency Tests
Urban, Marek; Urban, Kamila – Journal of Creative Behavior, 2021
The unskilled and unaware effect occurs when low-performing individuals overestimate their performance, while high performers underestimate it. The aim of the present study was to examine an occurrence of the unskilled and unaware effect in a self-assessment of creative performance, linking this phenomenon to creative metacognition (CMC) research.…
Descriptors: Multivariate Analysis, Creativity, Metacognition, Individual Development