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Table 2 Predictive power of PBMS (Pre-test and RCT)

From: Applying the theory of planned behaviour to multiple sclerosis patients’ decisions on disease modifying therapy – questionnaire concept and validation

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)*
  1. 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.