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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