2003
DOI: 10.1037/1082-989x.8.4.492
|View full text |Cite
|
Sign up to set email alerts
|

requivalent: A simple effect size indicator.

Abstract: The purpose of this article is to propose a simple effect size estimate (obtained from the sample size, N, and a p value) that can be used (a) in meta-analytic research where only sample sizes and p values have been reported by the original investigator, (b) where no generally accepted effect size estimate exists, or (c) where directly computed effect size estimates are likely to be misleading. This effect size estimate is called r equivalent because it equals the sample point-biserial correlation between the … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
303
0
7

Year Published

2005
2005
2016
2016

Publication Types

Select...
5
5

Relationship

0
10

Authors

Journals

citations
Cited by 352 publications
(311 citation statements)
references
References 3 publications
1
303
0
7
Order By: Relevance
“…Unstandardized parameter estimates (b), standard errors, 95% confidence intervals (CIs), and odds ratios (ORs) were obtained from the respective full model. For non-parametric tests, we computed the generic effect size r equivalent (Rosenthal & Rubin, 2003). Preliminary analyses found no effects of gender or of the difference between the number of disks the child collected and the puppet collected on children's protest behavior in the main task.…”
Section: Discussionmentioning
confidence: 99%
“…Unstandardized parameter estimates (b), standard errors, 95% confidence intervals (CIs), and odds ratios (ORs) were obtained from the respective full model. For non-parametric tests, we computed the generic effect size r equivalent (Rosenthal & Rubin, 2003). Preliminary analyses found no effects of gender or of the difference between the number of disks the child collected and the puppet collected on children's protest behavior in the main task.…”
Section: Discussionmentioning
confidence: 99%
“…Non-parametric analyses of variance were conducted for data that was not normally distributed (Kruskal-Wallis and Mann-Whitney U post-hoc tests). Effect sizes were calculated by using Cohen's d (Cohen, 2013) for parametric tests, and Rosenthal's r (Rosenthal and Rubin, 2003) for non-parametric tests. In order to test the mood induction, repeated measures ANOVA was used comparing pre-film and post-film PANAS (within-group) among the three groups (AN, BN, or HC; between-subject factor).…”
Section: Discussionmentioning
confidence: 99%
“…If the raw data were not presented, then an F ratio for the main effect over time was used for conversion into r instead. If no relevant convertible statistics were presented, other than a p value, we calculated the t statistic from the Quality score (range 0-4): R, recruitment; E, explanatory variable ascertainment; O, outcome variable ascertainment (all of the outcomes were recorded from medical record); C, controlled covariates, including age, sex, smoking, alcohol, BMI or physical activity, and SES (if all of these covariates were controlled, the study got one point) DM, diabetes mellitus p value and an r-sub (equivalent) [22]. When a paper reported p<0.05, p<0.10 or NS, we computed r-sub (equivalent) with p values of 0.025, 0.050, 0.50 (one-tailed), respectively, which likely yielded a highly conservative estimate of the effect size.…”
Section: Methodsmentioning
confidence: 99%