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. 2012 Jul 2;12:60. doi: 10.1186/1472-6947-12-60

Table 2.

Predictive power of PBMS (Pre-test and RCT)

Sample Measure-ment
Outcome
PBMS predictor set
point
 
intention estimate
domains
sub-domains
    1 predictor 3 predictors 6 predictors
 
pre total n = 50
r2
.55(.54)*
.60(.57)*
.69(.65)*
Pre-test
pre sub s. n = 19
r2
.34(.31)*
.38(.30)
.56*(.42)
 
post sub s. n = 19
r2
.65(.63)*
.68(.61)*
.73(59)*
 
pre total n = 177
r2
.41(41)*
.43(41)*
.50(48)*
RCT
post total n = 177
r2
.61(61)*
.63(62)*
.68(67)*
 
post CG n = 88
r2
.56(.56)*
.56(.55)*
.64(61)*
  post IG n = 89 r2 .69(69)* .74(73)* .78(76)*

The table shows R-square(corrected R-square) values (indicating the percentage of explained variance) from predicting the criterion intention to use DMT (disease modifying therapy) using various predictor sets drawn from the PBMS in regression analyses.”*” = significance level <0.01. The pre-test sub sample (n = 19) includes participants of the PEPADIP pilot course who completed the PBMS twice (pre & post). RCT=randomized controlled trial.