Meta-Analysis
Meta-analysis is a statistical method that integrates the results of several independent studies considered to be “combinable.” It has become one of the major tools to integrate research findings in social and medical sciences in general and in education and psychology in particular. Although the history of meta-analytic procedures goes all the way back to the early 1900s and the work of Karl Pearson and others, who devised statistical tools to compare studies from different samples, Gene V. Glass coined the term in 1976. Glass, Barry McGaw, and Mary Lee Smith described the essential characteristics of meta-analysis as follows:
- It is undeniably quantitative, that is, it uses numbers and statistical methods for organizing and extracting information.
- It does not prejudge research findings in terms of research ...
Looks like you do not have access to this content.
Reader's Guide
Descriptive Statistics
Distributions
Graphical Displays of Data
Hypothesis Testing
Important Publications
Inferential Statistics
Item Response Theory
Mathematical Concepts
Measurement Concepts
Organizations
Publishing
Qualitative Research
Reliability of Scores
Research Design Concepts
Research Designs
Research Ethics
Research Process
Research Validity Issues
Sampling
Scaling
Software Applications
Statistical Assumptions
Statistical Concepts
Statistical Procedures
Statistical Tests
Theories, Laws, and Principles
Types of Variables
Validity of Scores
- All
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- X
- Y
- Z