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Table 3 Regressions predicting content posttest scores using content pretest scores, condition, and intentional behavioral predictions for particular agents in Experiment 1

From: The interrelationship between concepts about agency and students’ use of teachable-agent learning technology

  Beta t p
Person behavioral predictions
 Overall  R2 = 0.678, F(3,69) = 48.410, p < 0.001
  Person behav. pred. 0.218 3.097 0.003
  Pretest 0.749 10.709 <0.001
  Condition 0.042 0.606 0.547
 Betty condition only  R2 = 0.748, F(2,38) = 56.292, p < 0.001
  Person behav. pred. 0.267 3.245 0.002
  Pretest 0.788 9.579 <0.001
 Control condition only     R2 = 0.585, F(2,29) = 20.475, p < 0.001
  Person behav. pred. 0.150 1.186 0.245
  Pretest 0.703 5.551 <0.001
Betty behavioral predictions
 Overall  R2 = 0.637, F(3,69) = 40.295, p < 0.001
  Betty behav. pred. 0.059 0.814 0.419
  Pretest 0.791 10.880 <0.001
  Condition 0.069 0.946 0.347
Computer behavioral predictions
 Overall  R2 = 0.636, F(3,69) = 40.160, p < 0.001
  Computer behav. pred. 0.053 0.716 0.476
  Pretest 0.802 10.935 <0.001
  Condition 0.072 0.987 0.327
  1. The “Betty condition only” and “Control condition only” follow-up regressions include only participants in the named condition