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Joao M. Souto-Maior; Kenneth A. Shores; Rachel E. Fish – Annenberg Institute for School Reform at Brown University, 2025
Whether selection processes contribute to group-level disparities or merely reflect pre-existing inequalities is an important societal question. In the context of observational data, researchers, concerned about omitted-variable bias, assess selection-contributing inequality via a kitchen-sink approach, comparing selection outcomes of…
Descriptors: Control Groups, Predictor Variables, Correlation, Selection Criteria
Young, Jonathan – ProQuest LLC, 2017
Translational research (TR) is the process of bringing innovations from basic science into applied science, usually referring to the practice of medicine. It has been assumed that cross-disciplinary collaboration, or interdisciplinarity research (IDR), is essential to translation. Yet there is a gap in the literature regarding the interaction…
Descriptors: Interdisciplinary Approach, Medical Research, Medicine, Bibliometrics
Guglielmi, R. Sergio; Brekke, Nancy – Comparative Education Review, 2017
Comparative international assessments of academic achievement consistently indicate that US students trail behind many peers, particularly those from east Asia, in math and science. Traditional efforts to explain this finding have focused on identifying characteristics that might differentiate the United States from top-performing countries.…
Descriptors: Academic Achievement, Foreign Countries, High Achievement, Research Methodology
Lunde, Rebecca – ProQuest LLC, 2017
Limited research has investigated dissertation methodology choice and the factors that contribute to this choice. Quantitative research is based in mathematics and scientific positivism, and qualitative research is based in constructivism. These underlying philosophical differences posit the question if certain factors predict dissertation…
Descriptors: Doctoral Dissertations, Research Methodology, Decision Making, Graduate Students
Wieman, Carl E. – Educational Researcher, 2014
In this commentary, the author argues that there is a considerable degree of similarity between research in the hard sciences and education and that this provides a useful lens for thinking about what constitutes "rigorous" and "scientific" education research. He suggests that the fundamental property of hard science research…
Descriptors: Educational Research, Scientific Research, Correlation, Research Methodology
Manzano-Sanchez, Harold; Outley, Corliss; Gonzalez, Jorge E.; Matarrita-Cascante, David – Hispanic Journal of Behavioral Sciences, 2018
This review had three aims: (a) examine the relationship between self-efficacy (SE) and academic performance (AP) in Latina/o students, (b) identify the types of measures of SE and AP that have been used, and (c) identify the differences between global and specific measures of SE in predicting academic performance in Latina/o students.…
Descriptors: Self Efficacy, Beliefs, Academic Achievement, Hispanic American Students
Berkowitz, Ruth; Moore, Hadass; Astor, Ron Avi; Benbenishty, Rami – Review of Educational Research, 2017
Educational researchers and practitioners assert that supportive school and classroom climates can positively influence the academic outcomes of students, thus potentially reducing academic achievement gaps between students and schools of different socioeconomic status (SES) backgrounds. Nonetheless, scientific evidence establishing directional…
Descriptors: Academic Achievement, Educational Environment, Social Justice, Socioeconomic Background
Vuolo, Mike – Sociological Methods & Research, 2017
Often in sociology, researchers are confronted with nonnormal variables whose joint distribution they wish to explore. Yet, assumptions of common measures of dependence can fail or estimating such dependence is computationally intensive. This article presents the copula method for modeling the joint distribution of two random variables, including…
Descriptors: Sociology, Research Methodology, Social Science Research, Models
Wu, Meng-Jia; Becker, Betsy Jane – Research Synthesis Methods, 2013
Regression methods are widely used by researchers in many fields, yet methods for synthesizing regression results are scarce. This study proposes using a factored likelihood method, originally developed to handle missing data, to appropriately synthesize regression models involving different predictors. This method uses the correlations reported…
Descriptors: Regression (Statistics), Correlation, Research Methodology, Accuracy
Reinhart, Alyssa L.; Haring, Samuel H.; Levin, Joel R.; Patall, Erika A.; Robinson, Daniel H. – Journal of Educational Psychology, 2013
Two previous studies examining 5 empirical educational psychology research journals (Hsieh et al., 2005; Robinson, Levin, Thomas, Pituch, & Vaughn, 2007) found that in the 21-year period from 1983 to 2004, there was a decrease in intervention and randomized experimental research, whereas in the 10-year period from 1994 to 2004, there was an…
Descriptors: Research Methodology, Educational Psychology, Educational Researchers, Educational Research
Eckberg, Deborah A. – Journal of Classroom Interaction, 2015
This study explores race as a potential predictor of research methods anxiety among a sample of undergraduates. While differences in academic achievement based on race and ethnicity have been well documented, few studies have examined racial differences in anxiety with regard to specific subject matter in undergraduate curricula. This exploratory…
Descriptors: Undergraduate Students, Race, Predictor Variables, Research Methodology
Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
Wladis, Claire; Conway, Katherine M.; Hachey, Alyse C. – Online Learning, 2016
This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…
Descriptors: Online Courses, Electronic Learning, Learning Readiness, Student Characteristics
Strain, Amber Chauncey; Azevedo, Roger; D'Mello, Sidney K. – Contemporary Educational Psychology, 2013
We used a false-biofeedback methodology to manipulate physiological arousal in order to induce affective states that would influence learners' metacognitive judgments and learning performance. False-biofeedback is a method used to induce physiological arousal (and resultant affective states) by presenting learners with audio stimuli of false heart…
Descriptors: Biofeedback, Metacognition, Inferences, Affective Behavior
Englehart, Joshua M. – Learning Environments Research, 2011
Because of the variety of elements in the classroom which influence student behaviour, and the interaction among those elements, isolating predictable effects of any one of them, such as class size, is not possible. This qualitative study illustrates this concept through the description of behavioural influences in the classroom environment which…
Descriptors: Class Size, Classroom Environment, Teaching Methods, Student Behavior