META ANALYSIS
DR.MAHESWARI JAIKUMAR
DEFINITION
Quantitatively combining &
integrating the findings of
the multiple research studies
on a particular topic is
known as META ANALYSIS.
 GLASS (1976) coined the term
“META ANALYSIS”.
 It refers to the analysis of
ANALYSIS.
 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.
 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.
 .
 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
STEPS IN META ANALYSIS
1.Define Hypothesis.
2.Locate the Studies.
3.Input Data.
4.Calculate effect Size.
5.Analyse Variables.
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.
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know about unpublished studies,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)
INPUT DATA
 Empirical findings are gathered
from primary studies & input into
statistical database.(p value &
effect size)
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)
ANALYSE VARIABLES
 Analyze the variables if
heterogeneity exist. Some
researchers insist upon analyzing
MODERATING VARIABLES as
appropriate
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).
META ANALYSIS
DR.MAHESWARI JAIKUMAR

META ANALYSIS

  • 1.
  • 2.
    DEFINITION Quantitatively combining & integratingthe 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 MetaAnalysis 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 analysisis considered as the statistical analysis of a large amount of analyzed results from individual studies for the purpose of integrating the findings.  .
  • 6.
     Meta Analysisstudies 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 METAANALYSIS 1.Define Hypothesis. 2.Locate the Studies. 3.Input Data. 4.Calculate effect Size. 5.Analyse Variables.
  • 8.
    DEFINE HYPOTHESIS  Theremust 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  Empiricalfindings 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  Analyzethe variables if heterogeneity exist. Some researchers insist upon analyzing MODERATING VARIABLES as appropriate
  • 13.
    EXAMPLE A study oncoping 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.