1. Stats/Methods II JEOPARDY

2. Jeopardy Compare & Contrast Repeated- Measures ANOVA Factorial Design Factorial ANOVA Surprise $100 $200$200 $300 $500 $400 $300 $400 $300 $400 $500 $400

3. Compare & Contrast--$100 In a between-subjects design, each participant contributes ___ score(s), but in a within-subjects design, each participant contributes _______ score(s). answer

4. Compare & Contrast--$200 This part of the F-ratio is the same for both between- and within- subjects designs. answer

5. Compare & Contrast--$300 The additional preliminary calculation required for a within- subjects design. answer

6. Compare & Contrast--$400 When individual differences are large, this design is more likely to miss a significant treatment effect when one really exists. answer

7. Compare & Contrast--$500 The denominators for a between- and within-subjects ANOVA, respectively. answer

8. Repeated-M ANOVA--$100 The consistent performance (individual differences) of a subject is represented by this SS. answer

9. Repeated-M ANOVA--$200 Because the same participant serves in all treatments, individual differences are automatically removed as a source of variability in this SS. answer

10. Repeated-M ANOVA--$300 In a repeated measures design, if F(3, 24) = 4.67, then each participant serves in ___ treatment conditions. answer

11. Repeated-M ANOVA--$400 When figuring SSs in a within-subjects design, ___ is often referred to as the residual term because it is the variability left after ___ is subtracted from it. answer

12. Repeated-M ANOVA--$500 In a repeated-measures design, if k = 5 and df Total = 40, then df Within Treatments = ___. answer

13. Factorial Design--$100 μ A1 = μ A2 assumes there will be no _________. answer

14. Factorial Design--$200 The major advantage of conducting a factorial experiment is the ability to assess this. answer

15. Factorial Design--$300 The two values you need to look up the critical value of F AxB. answer

16. Factorial Design--$400 In a factorial design, these effects may not accurately represent the mean differences between individual treatment conditions. answer

17. Factorial Design--$500 The analysis that looks for mean differences within an individual column (or row) of the treatment matrix. answer

18. Factorial ANOVA--$100 The number of hypothesis tests included in a two-factor ANOVA. answer

19. Factorial ANOVA--$200 In a factorial experiment, this type of variability is partitioned into 3 components. answer

20. Factorial ANOVA--$300 When looking at an AB treatment matrix, the numbers that enter into tests of main effects. answer

21. Factorial ANOVA--$400 In a 4x2 factorial design, the number of treatment totals entering into the analysis for the interaction. answer

22. Factorial ANOVA--$500 In order to graph the interaction, calculate _____ and plot them. Lines that _______ indicate the possibility of an interaction. answer

23. Surprise--$100 In plotting the interaction, parallel lines indicate. answer

24. Surprise--$200 The number of main effects that can be assessed in a 2 x 2 x 2 factorial experiment. answer

25. Surprise--$300 In a factorial experiment, this F- ratio, when significant, should be interpreted first. answer

26. Surprise--$400 In any ANOVA, these are added in order to obtain SS within treatment. answer

27. Surprise--$500 Use a within-subjects design when subjects are _____ to obtain and individual differences are ______. answer

28. Compare & Contrast--$100 A: What is 1 and more than 1? Back to board

29. Compare & Contrast--$200 A: What is the numerator or MS Between Treatments ? Back to board

30. Compare & Contrast--$300 A: What are P totals? Back to board

31. Compare & Contrast--$400 A: What is a between- subjects design? Back to board

32. Compare & Contrast--$500 A: What is MS Within Treatment and MS error ? Back to board

33. Repeated-M ANOVA--$100 A: What is SS Between Subjects ? Back to board

34. Repeated-M ANOVA--$200 A: What is SS Between Treatments ? Back to board

35. Repeated-M ANOVA--$300 A: What is 4? Back to board

36. Repeated-M ANOVA--$400 A: What is SS error and SS Between Subjects ? Back to board

37. Repeated-M ANOVA--$500 A: What is 36? Back to board

38. Factorial Design--$100 A: What is main effect of A? Back to board

39. Factorial Design--$200 A: What is an interaction? Back to board

40. Factorial Design--$300 A: What are df AxB (numerator) & df Within Treatment (denominator)? Back to board

41. Factorial Design--$400 A: What are main effects? Back to board

42. Factorial Design--$500 A: What is simple main effects? Back to board

43. Factorial ANOVA--$100 A: What are 3? Back to board

44. Factorial ANOVA--$200 A: What is between treatments? Back to board

45. Factorial ANOVA--$300 A: What are column (or row) totals (or means)? Back to board

46. Factorial ANOVA--$400 A: What are 8? Back to board

47. Factorial ANOVA--$500 A: What are treatment means and converge or cross? Back to board

48. Surprise--$100 A: What is no interaction ? Back to board

49. Surprise--$200 A: What are 3? Back to board

50. Surprise--$300 A: What is F AxB ? Back to board

51. Surprise--$400 A: What are SS inside each treatment? Back to board

52. Surprise--$500 A: What are difficult and large? Back to board