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Portz, John; Beauchamp, Nicholas – Educational Policy, 2022
This paper examines different state approaches to educational accountability in response to the Every Student Succeeds Act. Cluster analysis reveals three groups of states with similar indicator weights and rating systems, and principal component analysis identifies two dimensions underlying these clusters. We find that state-level demographics…
Descriptors: Accountability, Educational Legislation, Elementary Secondary Education, Federal Legislation
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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
Heather C. Hill; Anna Erickson – Annenberg Institute for School Reform at Brown University, 2021
Poor program implementation constitutes one explanation for null results in trials of educational interventions. For this reason, researchers often collect data about implementation fidelity when conducting such trials. In this article, we document whether and how researchers report and measure program fidelity in recent cluster-randomized trials.…
Descriptors: Fidelity, Program Effectiveness, Multivariate Analysis, Randomized Controlled Trials
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Hiroto Namihira – IGI Global, 2024
Academic scholars face a difficult challenge when attempting to grasp the intricate world of mathematics. The complexity of mathematical concepts often lies hidden beneath layers of formulas and procedures, obscuring their true essence. Traditional educational resources often fall short in conveying the profound meaning behind these concepts,…
Descriptors: Information Technology, Visual Aids, Mathematics Education, Technology Uses in Education
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Wu, Xiaopeng; Wu, Rongxiu; Zhang, Yi; Arthur, David; Chang, Hua-Hua – Assessment in Education: Principles, Policy & Practice, 2021
Learning path and learning progression have received extensive attention from broad disciplines. The existing research In the field of learning path is rarely applied in curriculum learning and teaching. Learning progression is usually constructed through observations, interviews but not quantitative analyses. With 726 Grade 8 students'…
Descriptors: Cognitive Measurement, Mathematics Skills, Learning Processes, Sequential Approach
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Toker, Turker; Green, Kathy – International Journal of Assessment Tools in Education, 2021
This study provides a comparison of the results of latent class analysis (LCA) and mixture Rasch model (MRM) analysis using data from the Trends in International Mathematics and Science Study -- 2011 (TIMSS-2011) with a focus on the 8th-grade mathematics section. The research study focuses on the comparison of LCA and MRM to determine if results…
Descriptors: Multivariate Analysis, Structural Equation Models, Item Response Theory, Achievement Tests
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Uwimpuhwe, Germaine; Singh, Akansha; Higgins, Steve; Coux, Mickael; Xiao, ZhiMin; Shkedy, Ziv; Kasim, Adetayo – Journal of Experimental Education, 2022
Educational stakeholders are keen to know the magnitude and importance of different interventions. However, the way evidence is communicated to support understanding of the effectiveness of an intervention is controversial. Typically studies in education have used the standardised mean difference as a measure of the impact of interventions. This…
Descriptors: Program Effectiveness, Intervention, Multivariate Analysis, Bayesian Statistics
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Pouwels, J. Loes; Salmivalli, Christina; Saarento, Silja; van den Berg, Yvonne H. M.; Lansu, Tessa A. M.; Cillessen, Antonius H. N. – Child Development, 2018
The aim of this study was to determine how trajectory clusters of social status (social preference and perceived popularity) and behavior (direct aggression and prosocial behavior) from age 9 to age 14 predicted adolescents' bullying participant roles at age 16 and 17 (n = 266). Clusters were identified with multivariate growth mixture modeling…
Descriptors: Bullying, Adolescents, Student Participation, Predictive Validity
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Cohen, Benjamin – Journal of Educational Research, 2018
Science, technology, engineering and mathematics (STEM) education is a critical component of federal policymakers' agendas. Out-of-school time (OST) programs are designated as an important venue to teach STEM to K-12 students. Using a sample of OST direct staff in Pennsylvania (n = 133), the present analysis examines instructional methods used for…
Descriptors: STEM Education, After School Programs, Elementary Secondary Education, Teaching Methods
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Teddlie, Charles; Stringfield, Samuel; Desselle, Stephanie – Journal of Classroom Interaction, 2017
An overview of the first five years of the Louisiana School Effectiveness Study (LSES) is described. The longitudinal nature of the study has allowed the research team to develop an evolving methodology, one benefiting from prior external studies as well as prior phases of LSES. Practical implications and recommendations for future research are…
Descriptors: School Effectiveness, State Surveys, Longitudinal Studies, Effective Schools Research
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Mankin, Ariel; von der Embse, Nathaniel; Renshaw, Tyler L.; Ryan, Shannon – Journal of Psychoeducational Assessment, 2018
Previous research demonstrates that there is an association between effective teaching and teachers' positive psychological functioning at work. The current study explores the factor structure of the Teacher Subjective Wellbeing Questionnaire (TSWQ), which is a brief measure of two key dimensions of teachers' positive psychological functioning:…
Descriptors: Wellness, Questionnaires, Well Being, Factor Analysis
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Mendes, Sofia A.; Lasser, Jon; Abreu-Lima, Isabel M.; Almeida, Leandro S. – European Journal of Psychology of Education, 2017
Studies have generally characterized school psychologists as a relative homogenous population. Understanding the differences in professional practices and related variables is important for the development of the profession. Using a sample of 446 Portuguese school psychologists, this study used cluster analysis to identify distinct profiles of…
Descriptors: School Psychologists, Multivariate Analysis, Profiles, Foreign Countries
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Koyuncu, Mahmut Sami; Erdemir, Aysenur – International Journal of Contemporary Educational Research, 2019
The aim of the study is to compare TIMSS 2011 proficiency levels with the proficiency levels defined by the researchers using cluster analysis for Turkey, Korean, Norway, and Morocco in 4th and 8 th grades in the fields of science and mathematics. Therefore, it is tried to be reached that these cut-off scores for each country can serve the…
Descriptors: Cutting Scores, Achievement Tests, Elementary Secondary Education, Foreign Countries
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Sulak, Tracey N. – Educational Studies, 2018
A positive school climate impacts students by promoting positive relations among students, staff and faculty of the school. The current study used latent class analysis and multinomial regression with R3STEP to analyse patterns of negative behaviours in schools and test the association of these patterns with structural variables like school size,…
Descriptors: Educational Environment, Regression (Statistics), Bullying, Student Behavior
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Wright, Kim B.; Shields, Samantha M.; Black, Katie; Waxman, Hersh C. – School Community Journal, 2018
This study's purpose was to determine if a teacher home visit program implemented by a Texas-based charter school system resulted in differences in K-12 students' classroom behavior, academic achievement, and parent involvement in school. Study findings indicate positive behavioral, academic, and parent involvement outcomes for students who…
Descriptors: Student Behavior, Academic Achievement, Parent Participation, Charter Schools
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