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Table 4 Selected variables and R-squares as a contribution to multi regression analysis

From: The possibility of predicting learning performance using features of note taking activities and instructions in a blended learning environment

Data set Instruction Selected variables (partial R 2) R 2
Overall N/A IPIP1(0.15), LE1(0.10) 0.25
  done mCV(0.52), IPIP5(0.10), LE1(0.04) 0.66
1st half N/A IPIP2(0.15), LE1(0.10), fAD(0.09) 0.34
  done fCV(0.51), fID(0.13), NT3(0.10), fAD(0.04), fWD(0.03) 0.81
2nd half N/A IPIP2(0.15), LE1(0.10) 0.25
  done sCV(0.49), IPIP5(0.09) 0.58
1st & 2nd N/A IPIP2(0.15), LE1(0.10), fAD(0.09) 0.34
halves done fCV(0.51), fID(0.13), NT3(0.10), fAD(0.04), fWD(0.33), sID(0.04) 0.85
  1. IPIP1 extroversion, IPIP2 agreeableness, LE1 Overall evaluation of the e-learning experience
  2. NT1 function of note taking, NT3 presentation of notes, mCV mean CV, mID mean ID, mAD mean AD
  3. fCV mean CV for 1st half, fWD mean WD for 1st half, fID mean ID for 1st half, fAD mean AD for 1st half
  4. sCV mean CV for 2nd half, sID mean ID for 2nd half, sAD mean AD for 2nd half