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A Multi-Level Analysis of the Effects of Statistics Anxiety/Attitudes on Trajectories of Exam Scores
MacArthur, Kelly Rhea; Santo, Jonathan B. – Journal of Statistics and Data Science Education, 2023
This study explores three understudied facets--quadratic effects, change over time, and gender as a moderator--of the otherwise well-documented relationships between statistics anxiety and academic performance. Using pre- and post- course survey data among a sample of 111 undergraduate students in Social Statistics courses at a U.S. Midwestern…
Descriptors: Hierarchical Linear Modeling, Mathematics Anxiety, Statistics Education, Student Attitudes
Umut Atasever; Francis L. Huang; Leslie Rutkowski – Large-scale Assessments in Education, 2025
When analyzing large-scale assessments (LSAs) that use complex sampling designs, it is important to account for probability sampling using weights. However, the use of these weights in multilevel models has been widely debated, particularly regarding their application at different levels of the model. Yet, no consensus has been reached on the best…
Descriptors: Mathematics Tests, International Assessment, Elementary Secondary Education, Foreign Countries
Aditi Bhutoria; Nayyaf Aljabri; Saheli Bose – International Journal of Child Care and Education Policy, 2025
This paper examines whether parental engagement in early childhood and preschooling act as substitutes, or whether their joint effect enhances students' learning outcomes. We utilize the TIMSS 2019 dataset and employ a hierarchical linear modeling (HLM) approach to analyze data from 52 countries, ensuring a robust examination of cross-national…
Descriptors: Early Childhood Education, Parenting Skills, Child Rearing, Preschool Children
Lyu, Weicong; Kim, Jee-Seon; Suk, Youmi – Journal of Educational and Behavioral Statistics, 2023
This article presents a latent class model for multilevel data to identify latent subgroups and estimate heterogeneous treatment effects. Unlike sequential approaches that partition data first and then estimate average treatment effects (ATEs) within classes, we employ a Bayesian procedure to jointly estimate mixing probability, selection, and…
Descriptors: Hierarchical Linear Modeling, Bayesian Statistics, Causal Models, Statistical Inference
Stack, Kristen F.; Dever, Bridget V. – School Psychology, 2021
Student motivation predicts academic achievement, engagement, and related academic behaviors. Yet in spite of the importance of motivation for academic success, few studies have examined the school and national-level contextual characteristics associated with motivation. The present study uses hierarchical linear modeling to analyze a large…
Descriptors: Grade 8, Student Motivation, Mathematics Achievement, Institutional Characteristics
Cook, Michael; Ross, Steven M. – Center for Research and Reform in Education, 2022
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction that met Curriculum Associates' recommended usage levels on mathematics achievement, as measured by the Massachusetts Comprehensive Assessment System (MCAS) mathematics assessment. This study compared mathematics achievement growth of students who used…
Descriptors: Mathematics Achievement, Mathematics Instruction, Program Evaluation, Individualized Instruction
Lorah, Julie – Large-scale Assessments in Education, 2018
Effect size reporting is crucial for interpretation of applied research results and for conducting meta-analysis. However, clear guidelines for reporting effect size in multilevel models have not been provided. This report suggests and demonstrates appropriate effect size measures including the ICC for random effects and standardized regression…
Descriptors: Effect Size, Hierarchical Linear Modeling, Definitions, Regression (Statistics)
Ryoo, Ji Hoon; Molfese, Victoria J.; Brown, E. Todd – Early Education and Development, 2018
This longitudinal study examined the influence of prekindergarten teacher characteristics and classroom instructional processes during mathematical activities on the growth of mathematics learning scores in prekindergarten, kindergarten, and first grade. Participants attended state-funded and Head Start prekindergarten programs. Mathematical…
Descriptors: Preschool Teachers, Teacher Characteristics, Mathematics Education, Mathematics Tests
Takashiro, Naomi – Educational Assessment, Evaluation and Accountability, 2017
The author examined the simultaneous influence of Japanese middle school student and school socioeconomic status (SES) on student math achievement with two-level multilevel analysis models by utilizing the Trends in International Mathematics and Science Study (TIMSS) Japan data sets. The theoretical framework used in this study was…
Descriptors: Foreign Countries, Hierarchical Linear Modeling, Middle School Students, Socioeconomic Status
Bicer, Ali; Capraro, Robert M.; Capraro, Mary M. – International Journal of Mathematical Education in Science and Technology, 2018
The purpose of this paper is to demonstrate Hispanic students' mathematics achievement growth rate in Inclusive science, technology, engineering, and mathematics (STEM) high schools compared to Hispanic students' mathematics achievement growth rate in traditional public schools. Twenty-eight schools, 14 of which were Texas STEM (T-STEM) academies…
Descriptors: Hispanic American Students, STEM Education, Mathematics Achievement, Achievement Gains
Harwell, Michael; Moreno, Mario; Post, Thomas – Journal of Psychoeducational Assessment, 2016
This study examined the relationship between the American College Testing (ACT) college mathematics readiness standard and college mathematics achievement using a sample of students who met or exceeded the minimum 3 years high school mathematics coursework recommended by ACT. According to ACT, a student who scores 22 or higher on the ACT…
Descriptors: College Entrance Examinations, Mathematics Tests, College Mathematics, College Readiness
Sengul, Ozden; Zhang, Xiaoyun; Leroux, Audrey J. – International Journal of Educational Methodology, 2019
By using multi-level modeling, this study explores the impact of students' perception of the quality of the teacher-student relationship and family structure on student achievement after controlling for socioeconomic status (SES), school urbanicity, and school control. The data from 750 schools and 17,000 10th grade students were analyzed. Family…
Descriptors: Family Relationship, Academic Achievement, Teacher Attitudes, Hierarchical Linear Modeling
Harbour, Kristin E.; Adelson, Jill L.; Pittard, Caroline M.; Karp, Karen S. – Elementary School Journal, 2018
Using restricted-use data from the 2011 National Assessment of Educational Progress mathematics assessment, the current study examined the relationship between the presence of elementary mathematics coaches and specialists (MCSs) and the mathematics achievement of more than 190,000 fourth-grade students in more than 7,400 schools nationwide. In…
Descriptors: Correlation, Mathematics Instruction, Academic Achievement, National Competency Tests
Liou, Pey-Yan; Ho, Hsin-Ning Jessie – Research Papers in Education, 2018
The purpose of this study is to examine students' perceptions of instructional practices in the classroom, and to further investigate the relationships among instructional practices, motivational beliefs and science achievement. Hierarchical linear modelling was utilised to examine the Trends in International Mathematics and Science Study 2007…
Descriptors: Teaching Methods, Science Achievement, Self Concept, Correlation
Saal, Petronella Elize; van Ryneveld, Linda; Graham, Marien Alet – International Journal of Instruction, 2019
In his State of the Nation address on 7 February 2019, the president of the Republic of South Africa. Mr. Cyril Ramaphosa, stated that the government would provide digital workbooks and textbooks to every school child in South Africa by 2025. (De Villiers, 2019). This announcement begs the question how effective the incorporation of Information…
Descriptors: Correlation, Information Technology, Mathematics Achievement, Foreign Countries