Published Literature Tends to Include Significant Findings, Where the Data

Multiple Choice

Published literature tends to include significant findings, where the data were sufficient to reject the null hypothesis.This can lead to an inflated estimate of effect size when computing a meta-analysis.Rosenthal suggested that researchers test the level of inflation of their effect size calculations by:

A) conducting additional research that would more clearly assess the relationship between variables.
B) pressuring scholarly journals to publish more null findings.
C) computing a file drawer analysis to see how many null findings would be needed to remove the statistical significance found.
D) including studies in their meta-analysis that have strong effects only.