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Change in schedule…. Website currently says… August 5 th – first draft August 19 th – second draft Lets have instead… August 19 th – first draft. (5) Other calculations and tables/graphs. Overall Strategy. (1) Average ES In-text: Average, range, total number Heterogeneity
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Change in schedule… • Website currently says… • August 5th – first draft • August 19th – second draft • Lets have instead… • August 19th – first draft
Overall Strategy (1) Average ES • In-text: • Average, range, total number • Heterogeneity • Fail-safe N • Unweighted (and difference test to weighted) • Outliers (and difference test to weighted after removing outliers) • Charts/Tables: • Descending order • Stem-and-leaf • Funnel Plot • Boxplot
(1) Average ES: in-text • The average weighted effect size was .1221 (CI = .1139, .1302, z = 29.07, p< .001). • The range of effect sizes is .78 to -.61 across 296 total effect sizes. • The heterogeneity test for the weighted effect size was significant (Qw (293) = 1145.87, p< .001), indicating that there was substantial variation within the weighted effect sizes.
(1) Average ES: in-text • A fail-safe N was calculated to ascertain the number of new, unpublished, or unretrieved studies required to reduce the significance of this averaged effect size to non-signifcance (Rosenthal, 1991), fail-safe N = 108,195. • page 104-105 for Rosenthal, 1991
(1) Average ES: in-text • A fail-safe N can also be calculated to ascertain the number of new, unpublished, or unretrieved studies required to reduce this averaged effect size to a specific level (Lipsey & Wilson, 2001). To reduce the averaged effect size to a specified level of .1, the fail-safe N = 65, which indicates that it would take an additional 65 studies with an effect size of 0 to reduce the current meta-analyzed effect size of .1221 to .1. To reduce the average effect size to a specified level of .05, the fail-safe N = 424. To reduce the average effect size all the way to 0, the fail-safe N = 358,680. • Page 166 of Lipsey/Wilson
(1) Average ES: in-text • Unweighted • “The unweighted effect size average is .1451 (CI = .1339, .1563, z = 25.14, p< .001). “ • Difference Test to Weighted • “The test of the differences between the two dependent effect sizes was non-significant, z = .41, p = .69. In other words, the weighted effect size was not influenced by particular sample sizes that were extremely large or small. “ • http://faculty.vassar.edu/lowry/rpop.html
(1) Average ES: in-text • Outlier analysis • “Outlier analysis determines the existence of extreme effect sizes, as compared to the analysis above which tested the influence of extreme sample sizes. Chart 3 shows the boxplot for the weighted effect sizes.” • “Eliminating the outliers produces a weighted effect size of .1137 (CI = .1054, .1219, z = 26.89, p< .001).” • Difference test to weighted after removing outliers • “The test of the differences between the weighted effect sizes with and without the outliers was non-significant, z = .15, p = .88. Thus, the weighted effect size was not significantly influenced by outliers.”
Overall Strategy (2) Moderators • In-text: • Interpreting the data and comparing/contrasting • Charts/Tables: • ES of Moderators • Categorical Moderator Data • Continuous Moderator Data • 95% Error Bar Chart • Multivariate Data
