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. 2020 Dec 6;10(4):1132–1149. doi: 10.3390/ejihpe10040079

Table 2.

The summary output of hierarchical multiple regression model testing personality, type of approach to learning, and well-being as predictors of students’ academic performance.

R 2 R 2 adj F β p
Step 1
Course type 0.013 0.012 7.991 ** −0.116 0.005
Step 2 0.108 0.096 8.854 ***
Course type −0.115 0.004
Novelty seeking 0.112 0.021
Harm avoidance 0.189 <0.001
Reward dependence 0.021 0.644
Persistence 0.213 <0.001
Self−directedness 0.227 <0.001
Cooperativeness −0.076 0.152
Self-transcendence −0.047 0.263
Δ R2 0.095 ***
Step 3 0.136 0.121 90.149 ***
Course type −0.131 0.001
Novelty seeking 0.126 0.009
Harm avoidance 0.186 <0.001
Reward dependence 0.030 0.510
Persistence 0.141 0.006
Self-directedness 0.215 <0.001
Cooperativeness −0.067 0.203
Self-transcendence −0.079 0.060
Deep approach 0.192 <0.001
Surface approach −0.059 0.156
Δ R2 0.028 ***
Step 4 0.149 0.132 8.477 ***
Course type −0.127 0.001
Novelty seeking 0.127 0.009
Harm avoidance 0.176 <0.001
Reward dependence 0.047 0.304
Persistence 0.151 0.003
Self-directedness 0.242 <0.001
Cooperativeness −0.071 0.174
Self-transcendence −0.083 0.048
Deep approach 0.179 <0.001
Surface approach −0.063 0.125
Non-affective well-being 0.077 0.054
Affective well-being −0.095 0.024
Δ R2 0.013 *

Note. Course type was coded as a dummy variable with vocational courses = 0 and regular courses = 1; *** p < 0.001, ** p < 0.01, * p < 0.05.