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. Author manuscript; available in PMC: 2016 Mar 21.
Published in final edited form as: Psychol Bull. 2014 Dec 22;141(2):474–509. doi: 10.1037/a0038295

Table 5.

Overall Change as a Function of Number of Recommendations and Intervention Characteristics-Univariate Analyses (k = 231).

Number of Recommendations
d QB

1 2–3 4 or more Simple Effects Main Effect Interaction
Non-patient population -- -- -- -- 65.92*** 12.55**
 Yes (k = 151) 0.08a 0.34b 0.17c 189.17*** -- --
 No (k = 80) 0.41d 0.46d 0.27e 50.46*** -- --
Non-Clinic Setting -- -- -- -- 56.57*** 13.49**
 Yes (k = 96) 0.03a 0.30b 0.13a 132.26*** -- --
 No (k = 134) 0.29b 0.37c 0.26b 51.17*** -- --
Community Member -- -- -- -- 73.56*** 186.74***
 Yes (k = 73) 0.01a 0.37b 0.05a 397.23*** -- --
 No (k = 158) 0.36b 0.34b 0.28c 12.83*** -- --
Group Delivery -- -- -- -- 58.03*** 42.15***
 Yes (k = 118) 0.09a 0.39b 0.18c 200.20*** -- --
 No (k = 113) 0.42b 0.41b 0.31d 40.38*** -- --

Note. Change for intervention groups as a function of number of recommendations and intervention characteristics. Passive control groups (d = 0.15) were excluded. d = fixed-effects weighted means. Following the means, we present the QBs for each intervention characteristic alone and in interaction with the number of recommendation. QB for simple and main effects = homogeneity coefficient for the difference across levels of a factor, distributed as a chi-square with degrees of freedom equal to the number of factor levels − 1 degrees of freedom. QB for interaction = homogeneity coefficient for the interaction between factors, distributed as a chi-square with (number of levels of factor A − 1) × (number of levels of factor B − 1) degrees of freedom. ds with similar subscripts are not significantly different from one another.

*

p < .05,

**

p < .01,

***

p < .001