What is he best known for?
The fields of study he is best known for:
- Statistics
- Normal distribution
- Social science
Larry V. Hedges mostly deals with Meta-analysis, Statistics, Econometrics, Random effects model and Epistemology.
Larry V. Hedges has included themes like Meta-Analysis as Topic, Statistical hypothesis testing, Data mining and Ecology in his Meta-analysis study.
His Meta-Analysis as Topic research is multidisciplinary, relying on both Future history and Natural language processing.
His Covariate study, which is part of a larger body of work in Econometrics, is frequently linked to Estimation, bridging the gap between disciplines.
His research integrates issues of Selection and Statistical model in his study of Random effects model.
Larry V. Hedges interconnects Replication crisis and p-value in the investigation of issues within Epistemology.
His most cited work include:
- Statistical Methods for Meta-Analysis (9454 citations)
- Introduction to Meta-Analysis (7183 citations)
- The Handbook of Research Synthesis. (3152 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Statistics, Meta-analysis, Econometrics, Mathematics education and Academic achievement.
Statistics is represented through his Estimator, Strictly standardized mean difference, Sampling, Sample size determination and Randomized experiment research.
The study of Randomized experiment is intertwined with the study of Class size in a number of ways.
His studies examine the connections between Meta-analysis and genetics, as well as such issues in Psychological intervention, with regards to Gerontology.
His work deals with themes such as Multilevel model, Correlation, Statistical significance and Random effects model, which intersect with Econometrics.
His research in Mathematics education intersects with topics in Higher education and Pedagogy.
He most often published in these fields:
- Statistics (35.09%)
- Meta-analysis (25.44%)
- Econometrics (24.85%)
What were the highlights of his more recent work (between 2012-2021)?
- Statistics (35.09%)
- Meta-analysis (25.44%)
- Econometrics (24.85%)
In recent papers he was focusing on the following fields of study:
Larry V. Hedges spends much of his time researching Statistics, Meta-analysis, Econometrics, Replication and Research design.
He has researched Meta-analysis in several fields, including PsycINFO, Cognitive psychology, Intervention and Artificial intelligence.
His biological study spans a wide range of topics, including Text mining and Natural language processing.
His study in Econometrics is interdisciplinary in nature, drawing from both Average treatment effect, Propensity score matching, Group and Statistical significance.
His Replication research includes themes of Statistical hypothesis testing, Statistical power, Epistemology, Operational definition and Research methodology.
His Research design research incorporates elements of Randomized controlled trial, Management science, Program evaluation and Computation.
Between 2012 and 2021, his most popular works were:
- The Handbook of Research Synthesis and Meta-Analysis (1036 citations)
- Redefine statistical significance (993 citations)
- Basics of meta‐analysis: I2 is not an absolute measure of heterogeneity. (457 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Normal distribution
- Social science
Larry V. Hedges mainly focuses on Statistics, Econometrics, Meta-analysis, Research design and Randomized experiment.
Larry V. Hedges performs integrative Statistics and Macro research in his work.
His Econometrics study incorporates themes from Sampling, Rule of thumb, Statistical significance and Generalization.
His Meta-analysis research is multidisciplinary, incorporating perspectives in Cognitive psychology, Statistic and Applied psychology.
His Research design study combines topics from a wide range of disciplines, such as Psychological intervention, Data mining and Data science.
Larry V. Hedges has researched Intraclass correlation in several fields, including Correlation, Group, Variance decomposition of forecast errors, Multivariate analysis and Cluster analysis.
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