1. Statistics for the Behavioral Sciences Second Edition Chapter 12: Between-Groups ANOVA iClicker Questions Copyright © 2012 by Worth Publishers Susan A. Nolan and Thomas E. Heinzen

2. Chapter 12 1.An ANOVA stands for: a) analysis of variance. b) analysis of operative variability. c) analysis of covariance. d) analysis of associated variance.

3. Chapter 12 (Answer) 1.An ANOVA stands for: a) analysis of variance. b) analysis of operative variability. c) analysis of covariance. d) analysis of associated variance

4. Chapter 12 2. When comparing three or more groups we use ANOVA. It would be incorrect to instead conduct many t tests. Doing so would increase the chances of making a: a) Type I error. b) Type II error. c) Type III error. d) All of the above.

5. Chapter 12 (Answer) 2. When comparing three or more groups we use ANOVA. It would be incorrect to instead conduct many t tests. Doing so would increase the chances of making a: a) Type I error. b) Type II error. c) Type III error. d) All of the above.

6. Chapter 12 3. Below is the F statistic which indicates the ratio of two measures of variability. If the within-groups variance is much larger than the between-groups variance, we can infer that: between-groups variance F = _____________________ within-groups variance a) the sample means are different from one another. b) there is no difference between the sample means. c) the sample means are equal to one another. d) the sample means are not different from one another.

7. Chapter 12 (Answer) 3. Below is the F statistic which indicates the ratio of two measures of variability. If the within-groups variance is much larger than the between-groups variance, we can infer that: between-groups variance F = _____________________ within-groups variance a) the sample means are different from one another. b) there is no difference between the sample means. c) the sample means are equal to one another. d) the sample means are not different from one another.

8. 4. __________________ is a hypothesis test in which there are more than two samples and each sample is composed of different participants. a) Mixed factors ANOVA b) Between-groups ANOVA c) Within-groups ANOVA d) Factorial ANOVA Chapter 12

9. 4. __________________ is a hypothesis test in which there are more than two samples and each sample is composed of different participants. a) Mixed factors ANOVA b) Between-groups ANOVA c) Within-groups ANOVA d) Factorial ANOVA Chapter 12 (Answer)

10. Chapter 12 5. If variances between groups are equal, we refer to this as: a) standardized coefficient. b) standard error of the mean. c) pooled variance. d) heteroscedasticity.

11. Chapter 12 (Answer) 5. If variances between groups are equal, we refer to this as: a) standardized coefficient. b) standard error of the mean. c) pooled variance. d) heteroscedasticity.

12. 6. The formula for the degrees of freedom for a between- groups ANOVA is: a) df = N-1 b) df = N-1 + dfbetween/dfwithin c) dfbetween = dfwithin + 1/N d) dfbetween = Ngroups – 1 Chapter 12

13. 6. The formula for the degrees of freedom for a between- groups ANOVA is: a) df = N-1 b) df = N-1 + dfbetween/dfwithin c) dfbetween = dfwithin + 1/N d) dfbetween = Ngroups – 1 Chapter 12 (Answer)

14. Chapter 12 7. The figure below provides three different distributions. Based on a visual inspection of these distributions, which would give you the best outcome for an ANOVA? a) a b) b c) c d) a and c

15. Chapter 12 (Answer) 7. The figure below provides three different distributions. Based on a visual inspection of these distributions, which would give you the best outcome for an ANOVA? a) a b) b c) c d) a and c

16. Chapter 12 8. The source table below provides us with information necessary to conduct an ANOVA. What previously learned statistical measure best describes column 4 of the source table? a) standard deviation b) standard error of the mean c) variance d) pooled variance

17. Chapter 12 (Answer) 8. The source table below provides us with information necessary to conduct an ANOVA. What previously learned statistical measure best describes column 4 of the source table? a) standard deviation b) standard error of the mean c) variance d) pooled variance

18. 9. When conducting a one-way ANOVA how many sums of squares are calculated? a) one b) two c) three d) four Chapter 12

19. 9. When conducting a one-way ANOVA how many sums of squares are calculated? a) one b) two c) three d) four Chapter 12 (Answer)

20. 10. To find the effect size for ANOVA we calculate a)Cohen’s d b)b) R 2 c) the p value d) the mean square Chapter 12

21. 10. To find the effect size for ANOVA we calculate a)Cohen’s d b)b) R 2 c) the p value d) the mean square Chapter 12 (Answer)

22. 11. A test that is conducted when there are multiple groups of scores but specific comparisons have been chosen prior to data collection is called a) a planned comparison b) a post-hoc test c) a Bonferroni test d) a Tukey HSD test Chapter 12

23. 11. A test that is conducted when there are multiple groups of scores but specific comparisons have been chosen prior to data collection is called a) a planned comparison b) a post-hoc test c) a Bonferroni test d) a Tukey HSD test Chapter 12 (Answer)

24. Chapter 12 12. ___________________ is a statistical procedure frequently carried out after we reject the null hypothesis in an analysis of variance. It allows us to make multiple comparisons among several means. a) A post-hoc test b) A parametric test c) A nonparametric test d) Null hypothesis

25. 12. ___________________ is a statistical procedure frequently carried out after we reject the null hypothesis in an analysis of variance. It allows us to make multiple comparisons among several means. a) A post-hoc test b) A parametric test c) A nonparametric test d) Null hypothesis Chapter 12 (Answer)

26. Chapter 12 13. What are two frequently used post-hoc tests? a) ANOVA and Tukey b) Bonferroni, and Tukey c) Split-halves and Cronbach’s alpha d) Cronbach’s alpha and Tukey

27. Chapter 12 (Answer) 13. What are two frequently used post-hoc tests? a) ANOVA and Tukey b) Bonferroni, and Tukey c) Split-halves and Cronbach’s alpha d) Cronbach’s alpha and Tukey