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. Author manuscript; available in PMC: 2013 Aug 1.
Published in final edited form as: Soc Sci Med. 2011 Oct 1;75(4):676–687. doi: 10.1016/j.socscimed.2011.08.038

Table 3.

Moderators of Condom Use Effect Sizes (k = 52)a.

All comparisons
Study dimension and levelb Adjustedc d+ (95% CI) β value
Percentage of women in sample 0.33**
0% 0.43 (0.05, 0.82)
100% 0.97 (0.71, 1.24)
Methodological quality −0.23*
Low quality 1.08 (0.63, 1.54)
High quality 0.25 (−0.40, 0.90)
Trans-situational motivational strategies 0.27*
Absent 0.55 (0.32, 0.78)
Present 0.98 (0.61, 1.36)
Provided testing and treatment for STIs −0.41*
Absent 0.96 (0.70, 1.22)
Present 0.63 (0.30, 0.96)

Note. Abbreviations: CI, confidence interval; d+, weighted mean effect size; STI, sexually transmitted infection; significance of the standardized regression coefficient is denote as

*

p<.05;

**

p<.01

***

p<.001.

a

Condom use effect sizes for 52 studies were modeled as the dependent variable in weighted least-squares multiple regression, with four study dimensions simultaneously entered as independent variables and the inverse variance as the weights following mixed-effects assumptions. Positive effect sizes imply better condom use efficacy for the intervention group relative to the comparison group adjusted for the other variables in the model. High and low values for moderator category reflect maximum and minimum values in sample. The model explains 40% of the variance in effect sizes.

b

High and low values for moderator category reflect maximum and minimum values in sample.

c

The trans-situational motivational strategies and provide STI testing and treatment were contrast coded and the other two variables were zero-centered. High quality is reflective of high methodological quality score.