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know about unpublished studies,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).
