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Vidushi Adlakha; Eric Kuo – Physical Review Physics Education Research, 2023
Recent critiques of physics education research (PER) studies have revoiced the critical issues when drawing causal inferences from observational data where no intervention is present. In response to a call for a "causal reasoning primer" in PER, this paper discusses some of the fundamental issues in statistical causal inference. In…
Descriptors: Physics, Science Education, Statistical Inference, Causal Models
Kraft, Matthew A. – Annenberg Institute for School Reform at Brown University, 2019
Researchers commonly interpret effect sizes by applying benchmarks proposed by Cohen over a half century ago. However, effects that are small by Cohen's standards are large relative to the impacts of most field-based interventions. These benchmarks also fail to consider important differences in study features, program costs, and scalability. In…
Descriptors: Data Interpretation, Effect Size, Intervention, Benchmarking
See, Beng Huat; Gorard, Stephen – Oxford Review of Education, 2015
There is currently a considerable body of research suggesting that parental involvement is linked to young people's attainment at school. It is also generally agreed that a number of factors such as parental background, attention, warmth and parenting style are associated with children's later life outcomes. However, although widely assumed on the…
Descriptors: Parent Role, Correlation, Attribution Theory, Outcomes of Education
Dogan, Murat; Hasanoglu, Gülcihan – Educational Research and Reviews, 2016
Memory plays a profound role in explaining language development, academic learning, and learning disabilities. Even though there is a large body of research on language development, literacy skills, other academic skills, and intellectual characteristics of children with hearing loss, there is no holistic study on their memory processes.…
Descriptors: Content Analysis, Memory, Hearing Impairments, Causal Models
Van Geert, Paul; Steenbeek, Henderien – Complicity: An International Journal of Complexity and Education, 2014
The notion of complexity--as in "education is a complex system"--has two different meanings. On the one hand, there is the epistemic connotation, with "Complex" meaning "difficult to understand, hard to control". On the other hand, complex has a technical meaning, referring to systems composed of many interacting…
Descriptors: Correlation, Educational Practices, Educational Policy, Educational Research
Porter, Stephen R. – Online Submission, 2012
Selection bias is problematic when evaluating the effects of postsecondary interventions on college students, and can lead to biased estimates of program effects. While instrumental variables can be used to account for endogeneity due to self-selection, current practice requires that all five assumptions of instrumental variables be met in order…
Descriptors: Statistical Bias, College Students, Educational Research, Statistical Analysis
Cooper, Harris – National Council of Teachers of Mathematics, 2008
Opinions vary on whether or not homework has positive effects on achievement. In the literature, the author found six studies conducted between 1987 and 2003 that compared homeworkers with no-homeworkers, and equated students by using either: (1) random assignments of students to conditions; or (2) statistical controls or by matching a student in…
Descriptors: Homework, Academic Achievement, Scores, Educational Research
Johnson, Burke – 2000
The terms "causal-comparative" and "correlational" are dated and misleading and suggest a false dichotomy in research. Textbook authors should stop misleading educational research students and researchers in training with the notion that causal-comparative research provides better evidence for causality than correlational research. They should…
Descriptors: Causal Models, Comparative Analysis, Correlation, Educational Research
Thompson, Bruce – 1994
The present paper suggests that multivariate methods ought to be used more frequently in behavioral research and explores the potential consequences of failing to use multivariate methods when these methods are appropriate. The paper explores in detail two reasons why multivariate methods are usually vital. The first is that they limit the…
Descriptors: Analysis of Covariance, Behavioral Science Research, Causal Models, Correlation

McPherson, Gary E.; And Others – Journal of Research in Music Education, 1997
Surveys 101 wind instrumentalists to reveal major differences in the pattern of influences leading to the re-creative skill of performing a repertoire of rehearsed music for a formal examination compared to the creative ability of improvising. Uses a path analysis to determine links between the data and theoretical model. (MJP)
Descriptors: Behavioral Objectives, Causal Models, Context Effect, Correlation
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers