EDUCATIONAL
RESEARCH
BASED ON
METHOD-
SECONDARY
ANALYSIS &
META ANALYSIS
JOSHINI JOSE
FIRST SEMESTER ,M.Ed
SPS,MGU
SPSMPCO3-INTRODUCTION TO EDUCATIONAL RESEARCH
AND STATISTICS
DESCRIPTIVE RESEARCH
 Describes & interprets what it is: conditions or
relationships that exist, opinions held, processes
going on ,effects evident or trends that are
developing
 Primarily concerned with present
 Deals with relationship between variables,
hypothesis testing
 & development of generalizations, principles or
theories that has a universal validity
 Either correlational research or causal
comparative research or neither describing
existing conditions
 Unlike experimental research no manipulation
of variable,
 Appropriate for behavioural science
UNIQUE
CHARACTERISTICS
 Involves hypothesis formulation & testing
 Employ logical methods of inductive –
deductive reasoning to arrive at generalization
 Employ methods of randomization
 Accurate description of variables and
procedures helpful for other researchers
 Methods are non-experimental
METHOD-1.SECONDARY
ANALYSIS
 Reanalyzing data gathered by a previous
investigator
 But may have a different hypothesis, different
experimental designs or different methods of
statistical analysis
 Subject and the data are same
 Purpose and method of analysis different
CHARACTERISTICS OF
SECONDARY DATA
 Insight into total situation
 Helpful in hypothesis formulation
 Supplementary information
 Cost, time &effort saving
 Helpful in testing the hypothesis
FACTORS TO BE CONSIDERED
 AVAILABILITY
 RELEVANCE
 ADEQUACY
 ACCURACY
 RELIABILITY/CONSISTENCY
DISADVANTAGES
 Quality of research
 Not specific
 Incomplete information
 outdated
ADVANTAGES O SECONDARY
ANALYSIS
 The new investigator bring objectivity or a
fresh point to the investigation
 Better questions will be raised or hypothesis
to be tested
 It brings greater expertise to the area of
investigation and greater skill in experimental
design and statistical analysis
 Saves time & money
 Useful for students of research methodology by
enabling them to use real data, rather than simulated
or inferior data for exercise purpose
 Played an important part in educational research
2.META-ANALYSIS
 It is a quantitative approach for systematically
combining results of previous research to arrive at
conclusions about the body of research
 A study collects data from individual subjects
(such as 100 subjects=100 “data points”)
 Meta-analysis collects data from individual
studies(such as 100 studies=100 “data points”)
 GLASS(1976) coined the term “META
ANALYSIS”
 It refers to the analysis of analysis
 It 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
 It starts 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
FUNCTION OF META-
ANALYSIS
 Identify heterogeneity in effects among
multiple studies and, where appropriate,
provide summary measure
 Increase statistical power & precision
 Develop, refine & test hypothesis
 Reduce subjectivity of study comparisons by
using systematic &explicit comparison
procedure
 Identify data gap in the knowledge base &
suggest direction for future research
 Calculate sample size for future studies
STEPS IN META ANALYSIS
 1.Define hypothesis
 2.Locate the studies
 3.Input data
 4.Calculate effect size
 5.Analyze 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
 Meta Analysis should adequately summarize
the existing literature, therefore a good
literature search is critical to retrieve every
relevant study
INPUT DATA
 Empirical findings are gathered from primary
studies & input into statistical database.
CALCULATE EFFECT SIZE
 The overall effect is calculated by converting
all statistics to a common metric, making
adjustments as necessary to correct different
issues
ANALYSE VARIABLES
 Analyze the variables if heterogeneity exist.
Some researchers insist upon analyzing
moderating variables as appropriate
 E.g. :A study on coping behaviour of patients
with cancer
THANK YOU

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Secondary Analysis & Meta Analysis

  • 1. EDUCATIONAL RESEARCH BASED ON METHOD- SECONDARY ANALYSIS & META ANALYSIS JOSHINI JOSE FIRST SEMESTER ,M.Ed SPS,MGU SPSMPCO3-INTRODUCTION TO EDUCATIONAL RESEARCH AND STATISTICS
  • 2. DESCRIPTIVE RESEARCH  Describes & interprets what it is: conditions or relationships that exist, opinions held, processes going on ,effects evident or trends that are developing  Primarily concerned with present  Deals with relationship between variables, hypothesis testing  & development of generalizations, principles or theories that has a universal validity
  • 3.  Either correlational research or causal comparative research or neither describing existing conditions  Unlike experimental research no manipulation of variable,  Appropriate for behavioural science
  • 4. UNIQUE CHARACTERISTICS  Involves hypothesis formulation & testing  Employ logical methods of inductive – deductive reasoning to arrive at generalization  Employ methods of randomization  Accurate description of variables and procedures helpful for other researchers  Methods are non-experimental
  • 5. METHOD-1.SECONDARY ANALYSIS  Reanalyzing data gathered by a previous investigator  But may have a different hypothesis, different experimental designs or different methods of statistical analysis  Subject and the data are same  Purpose and method of analysis different
  • 6. CHARACTERISTICS OF SECONDARY DATA  Insight into total situation  Helpful in hypothesis formulation  Supplementary information  Cost, time &effort saving  Helpful in testing the hypothesis
  • 7. FACTORS TO BE CONSIDERED  AVAILABILITY  RELEVANCE  ADEQUACY  ACCURACY  RELIABILITY/CONSISTENCY
  • 8. DISADVANTAGES  Quality of research  Not specific  Incomplete information  outdated
  • 9. ADVANTAGES O SECONDARY ANALYSIS  The new investigator bring objectivity or a fresh point to the investigation  Better questions will be raised or hypothesis to be tested  It brings greater expertise to the area of investigation and greater skill in experimental design and statistical analysis
  • 10.  Saves time & money  Useful for students of research methodology by enabling them to use real data, rather than simulated or inferior data for exercise purpose  Played an important part in educational research
  • 11. 2.META-ANALYSIS  It is a quantitative approach for systematically combining results of previous research to arrive at conclusions about the body of research  A study collects data from individual subjects (such as 100 subjects=100 “data points”)  Meta-analysis collects data from individual studies(such as 100 studies=100 “data points”)
  • 12.  GLASS(1976) coined the term “META ANALYSIS”  It refers to the analysis of analysis  It summarizes data from several individual studies that concern a specific research question
  • 13.  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  It starts 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
  • 14. FUNCTION OF META- ANALYSIS  Identify heterogeneity in effects among multiple studies and, where appropriate, provide summary measure  Increase statistical power & precision  Develop, refine & test hypothesis  Reduce subjectivity of study comparisons by using systematic &explicit comparison procedure
  • 15.  Identify data gap in the knowledge base & suggest direction for future research  Calculate sample size for future studies
  • 16. STEPS IN META ANALYSIS  1.Define hypothesis  2.Locate the studies  3.Input data  4.Calculate effect size  5.Analyze variables
  • 17. 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
  • 18. LOCATE THE STUDIES  Meta Analysis should adequately summarize the existing literature, therefore a good literature search is critical to retrieve every relevant study
  • 19. INPUT DATA  Empirical findings are gathered from primary studies & input into statistical database.
  • 20. CALCULATE EFFECT SIZE  The overall effect is calculated by converting all statistics to a common metric, making adjustments as necessary to correct different issues
  • 21. ANALYSE VARIABLES  Analyze the variables if heterogeneity exist. Some researchers insist upon analyzing moderating variables as appropriate  E.g. :A study on coping behaviour of patients with cancer