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. Author manuscript; available in PMC: 2015 Dec 1.
Published in final edited form as: Prev Med. 2014 Aug 27;69:95–107. doi: 10.1016/j.ypmed.2014.08.026

Table 6.

Moderator analyses on behavioral determinants

Moderator n k Hedges’ g (95% CI) p Q p I2 Index
EPHPP study quality 19934 50 0.24 0.886
Weak 3172 10 0.317 [0.192; 0.442] <.001 13.61 0.137 34%
Moderate 3750 17 0.357 [0.223; 0.490] <.001 50.04 <.001 68%
Strong 13012 23 0.317 [0.206; 0.429] <.001 97.66 <.001 77%

Study design 18058 49 3.30 0.192
Non-equivalent post-test only 1876 1 0.220 [0.129; 0.311] <.001 NA
Non-equivalent pre-test-post-test control group 13952 17 0.278 [0.161; 0.395] <.001 83.87 <.001 81%
Post-test only control group 440 5 0.223 [0.009; 0.438] <.05 3.11 0.540 0%
Pre-test post-test control group 3666 27 0.391 [0.297; 0.485] <.001 47.96 <.01 46%

Tailoring 11654 48 11.79 <.01
No tailoring 7228 36 0.381 [0.293; 0.468] <.001 81.03 <.001 57%
Tailoring by socio-demo 114 1 1.011 [0.622; 1.400] <.001 NA
Tailoring by stages/needs 3440 9 0.146 [0.037; 0.255] <.01 16.47 <.05 15%
Tailoring by socio-demo & stages/needs 987 3 0.634 [−0.042; 1.310] 0.066 11.92 <.01 83%

Theoretical foundation 19934 50 17.73 <.01
None mentioned 3150 10 0.403 [0.272; 0.534] <.001 14.53 0.105 38%
Clinical psychology approaches/theory-based methods 168 3 0.354 [−0.214; 0.921] 0.222 7.49 <.05 73%
Only behavioral prediction theory 12691 12 0.149 [0.068; 0.230] <.001 26.45 <.01 58%
Only game theory 1112 9 0.432 [0.193; 0.671] <.001 16.12 <.05 50%
Both behavioral and game theory 2813 16 0.417 [0.260; 0.574] <.001 58.54 <.001 74%

Implementation method 19934 50 1.06 0303
Stand-alone 7444 31 0.371 [0.263; 0.480] <.001 106.04 <.001 72%
Multi-component 12491 19 0.293 [0.192; 0.395] <.001 62.17 <.001 71%

n=combined sample size; k=number of studies; Hedges’ g (random effects); CI= confidence Interval; Q= homogeneity statistic (mixed effects); I2=Inconsistency, a second measure of heterogeneity; NA: not applicable