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Ethan C. Brown; Mohammed A. A. Abulela – Practical Assessment, Research & Evaluation, 2025
Moderated multiple regression (MMR) has become a fundamental tool for applied researchers, since many effects are expected to vary based on other variables. However, the inherent complexity of MMR creates formidable challenges for adequately performing power analysis on interaction effects to ensure reliable and replicable research results. Prior…
Descriptors: Statistical Analysis, Multiple Regression Analysis, Models, Programming Languages
Xiao Liu; Lijuan Wang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In parallel process latent growth curve mediation models, the mediation pathways from treatment to the intercept or slope of outcome through the intercept or slope of mediator are often of interest. In this study, we developed causal mediation analysis methods for these mediation pathways. Particularly, we provided causal definitions and…
Descriptors: Causal Models, Mediation Theory, Psychological Studies, Educational Research
Kyle Cox; Ben Kelcey; Hannah Luce – Journal of Experimental Education, 2024
Comprehensive evaluation of treatment effects is aided by considerations for moderated effects. In educational research, the combination of natural hierarchical structures and prevalence of group-administered or shared facilitator treatments often produces three-level partially nested data structures. Literature details planning strategies for a…
Descriptors: Randomized Controlled Trials, Monte Carlo Methods, Hierarchical Linear Modeling, Educational Research
Ferrara, Francesca; Pozio, Stefania – Cognition and Instruction, 2023
In this article, we examine eighth graders' incorrect responses to a specific task on a national standardized assessment of mathematics. The task asked students to write the formula for the perimeter of a given figure as a function of a variable. We focus on incorrect responses to better understand students' difficulties with the algebraic…
Descriptors: Mathematics Education, Educational Research, Standardized Tests, National Competency Tests
Bolondi, Giorgio; Ferretti, Federica; Maffia, Andrea – Teaching Mathematics and Its Applications, 2020
The process of pairing a name with representations or peculiar properties permeates many mathematics classroom situations. In school, many practices go under the label 'definition', even though they can be very different from what mathematicians conceive as a formal definition, and in fact there are substantial differences between these different…
Descriptors: Algebra, Mathematical Formulas, Definitions, High Schools
Bulus, Metin – ProQuest LLC, 2017
In education, sample characteristics can be complex due to the nested structure of students, teachers, classrooms, schools, and districts. In the past, not many considerations were given to such complex sampling schemes in statistical power analysis. More recently in the past two decades, however, education scholars have developed tools to conduct…
Descriptors: Educational Research, Regression (Statistics), Research Design, Statistical Analysis
Deke, John; Wei, Thomas; Kautz, Tim – National Center for Education Evaluation and Regional Assistance, 2017
Evaluators of education interventions are increasingly designing studies to detect impacts much smaller than the 0.20 standard deviations that Cohen (1988) characterized as "small." While the need to detect smaller impacts is based on compelling arguments that such impacts are substantively meaningful, the drive to detect smaller impacts…
Descriptors: Intervention, Educational Research, Research Problems, Statistical Bias
Jitendra, Asha K. – Journal of Educational Research, 2011
This article presents the author's response to Yan Ping Xin and Dake Zhang's recent critical evaluation of her and colleagues' work in "Exploring a Conceptual Model-Based Approach to Teaching Situated Word Problems," published in "The Journal of Educational Research" in 2009 (Vol. 102, No. 6). Most critiques of prior research are written in a fair…
Descriptors: Educational Research, Criticism, Word Problems (Mathematics), Teaching Methods
Xin, Yan Ping; Zhang, Dake – Journal of Educational Research, 2011
This article presents the authors' response to Asha K. Jitendra's Response to Xin and Zhang ("The Journal of Educational Research," 2009, Vol. 102, No. 6). The claim of "factual errors, including inappropriate quotes, misrepresentation of information, and inadequate scholarship in Xin and Zhang's text" are not justified. In this rejoinder, the…
Descriptors: Educational Research, Word Problems (Mathematics), Evaluation Methods, Teaching Methods
Konstantopoulos, Spyros – Practical Assessment, Research & Evaluation, 2009
Power computations for one-level experimental designs that assume simple random samples are greatly facilitated by power tables such as those presented in Cohen's book about statistical power analysis. However, in education and the social sciences experimental designs have naturally nested structures and multilevel models are needed to compute the…
Descriptors: Social Science Research, Effect Size, Computation, Tables (Data)
Harvey, Brian – National Centre for Vocational Education Research (NCVER), 2009
Apprentice and trainee data are reported by the State and Territory Training Authorities to the National Centre for Vocational Education Research (NCVER) on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are…
Descriptors: Vocational Education, Trainees, Apprenticeships, Data Collection
Godfrey, David; Thomas, Michael O. J. – Mathematics Education Research Journal, 2008
It has been recognised that many student perspectives on equations and their use of the equals sign have not mirrored those that mathematicians would like to see in tertiary students. This paper tracks transition of understanding of the equals sign by comparing secondary school students' thinking with that of first year university students. We…
Descriptors: Student Attitudes, Equations (Mathematics), Secondary School Students, Developmental Studies Programs
O'Brien, Francis J., Jr. – 1982
This paper presents in detail a proof of the limits of the sample bivariate correlation coefficient which requires only knowledge of algebra. Notation and basic formulas of standard (z) scores, bivariate correlation formulas in unstandardized and standardized form, and algebraic inequalities are reviewed first, since they are necessary for…
Descriptors: Correlation, Educational Research, Higher Education, Mathematical Formulas
Peer reviewedLows, Raymond L. – Journal of Education Finance, 1984
Discusses application of the "Lorenz Curve" (a graphical representation of the concentration of wealth) with the "Gini Coefficient" (an index of inequality) to measure social inequality in school finance studies. Examines the basic assumptions of these measures and suggests a minor reconception. (MCG)
Descriptors: Economic Status, Educational Research, Mathematical Formulas, Measurement Techniques
Chen, Hongwei – International Journal of Mathematical Education in Science & Technology, 2005
In this paper, the author demonstrates a case study of undergraduate mathematics research in trigonometric sums. Involving undergraduates in research has been a long standing practice in the experimental sciences. However, it has only been recently that undergraduates have been involved in research in mathematics in significant numbers. Obviously,…
Descriptors: Mathematics Instruction, College Mathematics, Undergraduate Study, Educational Research
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