Table 2. Regression Models Used to Determine if Learning Strategies Predict Academic Performance (N = 168)
Model R2 Adjusted R2 Change Statistics
R2 Change F Change p
Pre-matriculation
  1 .090 (.109) .075 (.094) .090 6.013 .003
  2 .119 (.117) .098 (.101) .119 5.787 .004
Pre-matriculation With SDLRS
  3 0.093 .070 .003 .348 .556
  4 .125 .094 .006 .628 .430
SDLRS only        
  5 .000 -.007 .000 .033 .855
  6 .015 .005 .015 1.555 .215
Pre-matriculation  With LASSI
  7 0.183 .098 .075 1.053 .404
  8 .228 .136 .111 1.442 .173
LASSI only
  9 .096 .032 .096 1.508 .142
  10 .188 .123 .188 2.895 .003

Note: when pairwise deletion strategy was used to handle the missing data, the estimate of R2 has slight difference as new predictor(s) was added; Model 1- Outcome variable: Year I average; Predictors: MCAT, UGPA; Scores outside of parentheses were the estimate of R2 that needed to be compared with Model 3; scores in parentheses were the estimate of R2 that needed to be compared with Model 7; Model 2- Outcome variable: Year II average; Predictors: MCAT, UGPA; Scores outside of parentheses were the estimate of R2 that need to be compared with Model 4; scores in parentheses were the estimate of R2 that needed to be compared with Model 8; Model 3- Outcome variable: Year I average; Predictors: MCAT, UGPA, and SDLRS pre-test; Model 4- Outcome variable: Year II average; Predictors: MCAT, UGPA, and SDLRS post-test; Model 5- Outcome variable: Year I average; Predictor: SDLRS pre-test; Model 6- Outcome variable: Year II average; Predictor: SDLRS post-test; Model 7- Outcome variable: Year I average; Predictors: MCAT, UGPA, and LASSI Pre-test subscales; Model 8- Outcome variable: Year II average; Predictors: MCAT, UGPA, and LASSI post-test subscales; Model 9- Outcome variable: Year I average; Predictors: LASSI pre-test subscales; Model 10- Outcome variable: Year II average; Predictors: LASSI post-test subscales.

 Int J Med Educ. 2016; 7:324-332; doi: 10.5116/ijme.57dc.fe0f