META ANALYSIS

META ANALYSIS

1. META ANALYSIS DR.MAHESWARI JAIKUMAR

2. DEFINITION Quantitatively combining & integrating the findings of the multiple research studies on a particular topic is known as META ANALYSIS.

3. GLASS (1976) coined the term “META ANALYSIS”. It refers to the analysis of ANALYSIS.

4. A Meta Analysis statistically combines the result of several studies that address a shared research hypothesis. Meta analysis summarizes data from several individual studies that concern a specific research question .

5. Meta analysis is considered as the statistical analysis of a large amount of analyzed results from individual studies for the purpose of integrating the findings. .

6. Meta Analysis studies start with selecting studies with similar variables & population samples, followed by ****** identifying & coding study characteristics & finally statistically analyzing & reporting the assessed findings of the meta analysis study

7. STEPS IN META ANALYSIS 1.Define Hypothesis. 2.Locate the Studies. 3.Input Data. 4.Calculate effect Size. 5.Analyse Variables.

8. DEFINE HYPOTHESIS There must be a well defined statement of the relationship between the variables under investigation,,,,,,, ,,,,, so that the researcher can carefully define the inclusion & exclusion criteria when locating potential studies.

9. LOCATE THE STUDIES A Meta Analysis should adequately summarize the existing literature, there fore a through literature search is critical to retrieve every relevant study, such as…….. database searches , ancestry approaches, descendancy approaches, hand searching & the invisible college .(Network of researchers who know about unpublished studies, conference proceedings etc)

10. INPUT DATA Empirical findings are gathered from primary studies & input into statistical database .( p value & effect size)

11. CALCULATE EFFECT SIZE The overall effect is calculated by converting all statistics to a common metric, making adjustments as necessary to correct for issues like *********** sample size or bias & then the central tendency,(Mean effect size & confidence intervals around that effect size) & variability ( Heterogeneity is calculated)

12. ANALYSE VARIABLES Analyze the variables if heterogeneity exist. Some researchers insist upon analyzing MODERATING VARIABLES as appropriate

13. EXAMPLE A study on coping behaviour of patients with cancer (Here the researcher selects quantitative studies with coping behaviour of cancer clients conducted on the similar age groups & later carry out a statistical analysis on the results of the selected studies).

14. META ANALYSIS DR.MAHESWARI JAIKUMAR