84
%
66
%
77 %
Publication bias assesses its influence, describing the methods that
have been most recently advanced. Other major topics of discussion in
this chapter were sub-group and moderator analysis, including metaregression, to explore variations in ESs due to methodological features
and PICO (populations, interventions, comparisons, and outcomes)
variables in the primary studies. Sensitivity analysis has been used to
discover the extent to which results of meta-analysis are robust for
outliers and for decisions and assumptions made during the analysis.
Finally, statistical power analysis is an important tool for planning and
evaluating meta-analyses
1.How does bias in meta-analysis
affect the reliability of the overall
results?
2.How can readers determine the
quality and credibility of a metaanalysis?
1.
2.
3.
How can students evaluate the quality of meta-analyses and
Systematic Reviews by considering bias and variation?
Why is it important to critically assess the of bias and
variation in research synthesis?
How can critical thinking skills help students become
discerning consumers of meta-analyses and Systematic
Reviews?
1)Assignment Overview: Students will conduct a research on a meta-analysis
or Systematic Review related to their field of interest. They should
critically evaluate the quality of the research synthesis by considering bias
and variation. The teacher should provide guidance on the evaluation
criteria.
2)Assignment Question: Choose a meta-analysis or Systematic Review article
and identify potential sources of bias and variation. Explain how these
biases and variations can affect the reliability of the overall results.
Provide recommendations on how to minimize bias and variation in future
research synthesis.