Chapter 14- Research Synthesis (Meta-Analysis)

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in a meta-analysis of 100 studies that compared boys' and girls' knowledge of AIDS, an average ES of 0.50 was found. this number represents

a difference of 0.50 standard deviation units

the inclusion criteria in a meta-analysis are very much like

delimitations

in a meta-analysis, the results of various studies on a topic are quantified using a standard measure (ES) that is called

effect size

the fact that a meta-analysis quantifies findings from many studies is a frequently mentioned advantage. another strong advantage of the meta-analysis over the normal review paper is

the description of the coding of study characteristics and the criteria for excluding studies

in calculating ES for a treatment effect between a pretest and a posttest, the text recommends the use of which standard deviation?

the pretest standard deviation

it is common when looking at a distribution to encounter extreme or unusual scores that could have a misleading effect on the results. these extreme scores are termed

outliers

in a meta-analysis, the ES for the experimental versus control groups was 0.68, which represents a percentile equivalent of 75. this means that

the average score of the experimental group was better than 75% of the control group's scores

in a meta-analysis, the researcher found that the mean for the experimental group in a study was 14, and the mean for the control group was 10. the standard deviation of the control group was 5. based on these data, what is the ES?

0.80

a major difference in the purpose of a meta-analysis and a review of literature for a research paper is that the meta-analysis uses the literature

for empirical and theoretical conclusions

the most frequent and severe criticism of meta-analysis is that

the studies represent wide differences in methodologies, designs, and measurements


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