1. Table (p. 444) Two sets of data representing typical examples of single-factor, repeated measures research designs.

2. Figure 14-1 (p. 449) The partitioning of variability for a repeated-measures experiment.

3. Table (p. 449) The effect of drug treatment on the amount of time (in seconds) a stimulus is endured.

4. Figure (p. 451) The partitioning of sum of squares (SS) for a repeated-measures analysis of variance.

5. Figure 14-3 (p. 453) The partitioning of degrees of freedom for a repeated-measures experiment.

6. Table (p. 457) The effect of response-cost treatment on the number of outbursts in class after different periods of time.

7. Figure 14-4 (p. 458) The critical region in the F distribution for  =
Figure (p. 458) The critical region in the F distribution for  = .05 and df = 3.9.

8. Table 14-4 (p. 460) Analysis of variance summary for Example 14.1.

9. Table 1 (p. 461)

10. Figure 14-5 (p. 464) The effect of amount of reward on running speed
Figure (p. 464) The effect of amount of reward on running speed. Treatment means are depicted by the broken line. Individual scores for each subject at each level of reward are shown by solid lines.

11. Figure 14-6 (p. 464) The effect of amount of reward on running speed
Figure (p. 464) The effect of amount of reward on running speed. The treatment means are depicted by the broken line. Individual scores for each subject at each level of reward are shown by solid lines.