"A set of statistical procedures designed to accumulate experimental and correlational results across independent studies that address related sets of research questions." (Ying-Chieh Liu et al, "Meta-Analysis Research on Virtual Team Performance", 2008)
"A statistical technique in which the outcomes from multiple experimental comparisons are synthesized by evaluating effect sizes. Because the recommendations are based on multiple experiments, practitioners can have greater confidence in the results from an effective meta-analysis." (Ruth C Clark, "Building Expertise: Cognitive Methods for Training and Performance Improvement", 2008)
"Study characteristics can be thought of as the independent variable." (Ernest W Brewer, "Using Meta-Analysis as a Research Tool in Making Educational and Organizational Decisions", 2009)
"The exhaustive search process which comprises numerous and versatile algorithmic procedures to exploit the gene expression results by combining or further processing them with sophisticated statistical learning and data mining techniques coupled with annotated information concerning functional properties of these genes residing in large databases." (Aristotelis Chatziioannou & Panagiotis Moulos, "DNA Microarrays: Analysis and Interpretation", 2009)
"The statistical analysis of a group of relevantly similar experimental studies, in order to summarize their results considered as a whole." (Saul Fisher, "Cost-Effectiveness", 2009)
"A quantitative research review that applies statistical techniques to examine, standardize and combine the results of different empirical studies that investigate a set of related research hypotheses." (Olusola O Adesope & John C Nesbit, "A Systematic Review of Research on Collaborative Learning with Concept Maps", 2010)
"Analysis of a number of comparable studies with the aim to combine those studies in a statistically valid way to test hypotheses (about the effect of an intervention)." (Cor van Dijkum & Laura Vegter, "A Client Perspective on E-Health: Illustrated with an Example from The Netherlands", 2010)
"A computation of average effect sizes among many experiments. Data based on a meta-analysis give us greater confidence in the results because they reflect many research studies." (Ruth C Clark & Richard E Mayer, "e-Learning and the Science of Instruction", 2011)
"Analysis of previously analyzed data relating to the same or similar biological phenomena or treatment studied across the same or similar technology platforms." (Padmalatha S Reddy et al, "Knowledge-Driven, Data-Assisted Integrative Pathway Analytics", 2011)
"A set of techniques for the quantitative analysis of results from two or more studies on the same or similar issues." (Geoff Cumming, "Understanding The New Statistics", 2013)
"A method of combining effect sizes from individual studies into a single composite effect size." (Jonathan van‘t Riet et al, "The Effects of Active Videogames on BMI among Young People: A Meta-Analysis", 2016)
"A procedure that allows the statistical averaging of results from independent studies of the same phenomena. Meta-analysis essentially combines studies on the same topic into a single large study, providing an index of how strongly the independent variable affected the dependent variable on an average in the set of studies." (K N Krishnaswamy et al, "Management Research Methodology: Integration of Principles, Methods and Techniques", 2016)
"A research design that combines and synthesize different types of data from multiple sources." (Mzoli Mncanca & Chinedu Okeke, "Early Exposure to Domestic Violence and Implications for Early Childhood Education Services", 2019)
"A quantitative, formal, epidemiological study design used to systematically assess the results of previous research to derive conclusions about that body of research." (Helena H Borba et al, "Challenges in Evidence-Based Practice Education: From Teaching Concepts Towards Decision-Making Learning", 2021)
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