Meta-analysis

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Hunter, Schmidt, & - Hunter, Jackson, 1982; Hunter & Schmidt, 1990
Hunter, Schmidt, & - Hunter, Jackson, 1982; Hunter & Schmidt, 1990
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[[Image:Table1.gif]]
Just as an individual study collects data from many individuals (data points) that is statistically summarized to answer the question of interest, a meta-anlay
Just as an individual study collects data from many individuals (data points) that is statistically summarized to answer the question of interest, a meta-anlay

Revision as of 00:09, 18 July 2006

Meta-analysis


Where should I start? If you want to learn what is a meta-analysis… If you want to start conducting a meta-analysis…

There are generally three different statistical approaches to conduct a meta-analysis so first you need to choose which approach best fits your needs. Hedges & Olkin Approach – Hedges, 1981; Hedges, 1982; Hedges & Olkin, 1985

Rosenthal & Rubin Approach – Rosenthal, 1991; Rosenthal & Rubin, 1978; Rosenthal & Rubin, 1988

Hunter, Schmidt, & - Hunter, Jackson, 1982; Hunter & Schmidt, 1990

File:Table1.gif

Just as an individual study collects data from many individuals (data points) that is statistically summarized to answer the question of interest, a meta-anlay


(table) email and ask them, tell them copyright law allows, plus…

If you want to follow the…

If you want to follow the…

What are the basic steps in conducting a meta-analysis? A meta-analysis answers three general questions: 1. Central tendency – The central purpose of a meta-analysis is to test the relationship between two variables such that X causes Y. Central tendency refers to identifying whether X affects Y via statistically summarizing signficance levels, effect sizes, and/or confidence intervals. You are trying to answer whether X affects Y, is the effect significant, and how strong is that effect? 2. Variability – There is always going to be some degree of variation between the outcomes of the individual studies that compose the meta-analysis. The question is whether the degree of variablity is signficantly different than what we would expect by chance alone. If so, then its called heterogeneity. 3. Prediction – If there is heterogeneity (variablitiy), then we look for moderating variables that explain the variablitty? In other words, does the effect of X on Y differ with moderator variables?










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