2. Jeopardy! 100 200 300 400 500 100 200 300 400 500 100 200 300 400 500 100 200 300 400 500 100 200 300 400 500 One-Way ANOVA Correlation & Regression Plots and Graphs Factorial ANOVA Hodgepodge Final Jeopardy

3. Question Answer FINAL JEOPARDY ANSWER: This is why we need ANOVA with more than two groups (AKA why we can’t just run multiple t-tests to make all of the comparisons between groups). QUESTION: What is because it controls for rising α, α inflation, or increases familywise error rate?

4. Question Answer One-way ANOVA 100 ANSWER: For ANOVA, these will always be the null and alternative hypotheses respectively. QUESTION: What is H 0 : all of the means are equal (or µ 1 = µ 2 = µ 3 = µ k ) H A : all of the means are not equal?

5. Question Answer One-way ANOVA 200 ANSWER: This is the conclusion that you would draw and what your next step would be. QUESTION: What is conclude that there are differences among the groups (reject H 0 ) and look at multiple comparisons table to see which groups are significantly different from one another.

6. Question Answer One-way ANOVA 300 ANSWER: This would be my next step if got this SPSS output for a one-way ANOVA. QUESTION: What is STOP and conclude that there are no differences among the groups (AKA retain H 0 )?

7. Question Answer One-way ANOVA 400 ANSWER: This is the prerequisite that must be met before looking at the results of following table. QUESTION: What is the F test in the ANOVA table has to be significant (p <.05).

8. Question Answer One-way ANOVA 500 ANSWER: Assuming F is significant, there would be significant differences between the following groups. QUESTION: What is students who study an average of 1-3 hours/week and those who study 3-6 hrs/wk and 1-3 and 3- 6 hrs/wk?

9. Question Answer ANSWER: This is Pearson’s r. QUESTION: What is r =.04 (.035)? Correlation & Regression 100

10. Question Answer Correlation & Regression 200 ANSWER: You look at the correlation between average hrs/wk students spend in the library and average hrs/wk in the gym, and r = -.52. This would be your interpretation. QUESTION: What is this is a moderately strong negative correlation, as amount of time spent in library goes up, rec goes down and vice versa?

11. Question Answer Correlation & Regression 300 ANSWER: You think that satisfaction with Miami’s IT services will predict satisfaction with the library resources available on campus. In a regression, this would be your IV and DV respectively. QUESTION: What is IV = IT services and DV = Library resources?

12. Question Answer Correlation & Regression 400 ANSWER: You do a regression predicting perceptions that Miami courses are rigorous from satisfaction with library resources. The slope, intercept and regression equation would be the following. QUESTION: What is slope =.46, intercept = 3.86, equation is Y´ =.46X + 3.86?

13. Question Answer Correlation & Regression 500 ANSWER: You do a regression predicting perceptions that Miami courses are rigorous from satisfaction with library resources and obtain the following equation: Y´ =.46X + 3.86. This is how you would interpret the slope. QUESTION: What is for every one-unit increase [decrease] in satisfaction with library resources, there will be a 0.46 increase [decrease] in the perception that Miami courses are rigorous.

14. Question Answer Plots and Graphs 100 ANSWER: In two-way ANOVA, a plot where the lines on the graph are not parallel indicates this. QUESTION: What is an interaction?

15. Question Answer Plots and Graphs 200 ANSWER: The effects shown in this plot. QUESTION: What is a main effect of both gender and class rank with NO interaction?

16. Question Answer Plots and Graphs 300 ANSWER: These are the effects shown in this plot. QUESTION: What is two main effects and an interaction?

17. Question Answer Plots and Graphs 400 ANSWER: The types of effects you see in this plot. QUESTION: What is a main effect of Greek involvement only?

18. Question Answer Plots and Graphs 500 ANSWER: The type of relation depicted here (Hint: think correlation) QUESTION: What is a negative correlation or relation?

19. Question Answer Factorial ANOVA 100 ANSWER: This is the effect of just one of your factors collapsing across and ignoring the levels of the other factor. QUESTION: What is a main effect?

20. Question Answer Factorial ANOVA 200 ANSWER: When the effect of one of your factors is different across the levels of another factor, this type of relationship is said to exist. QUESTION: What is an interaction?

21. Question Answer Factorial ANOVA 300 ANSWER: You one a two-way ANOVA and get the following results. These are the effects that are significant. QUESTION: What is both main effects but NOT the interaction?

22. Question Answer Factorial ANOVA 400 ANSWER: You perform a 2(gender) × 4(class rank) ANOVA. These are the variable(s) that require post hoc tests. QUESTION: What is class rank?

23. Question Answer Factorial ANOVA 500 ANSWER: When the interaction is not significant (p >.05) your interpretation should focus on this. QUESTION: What are the significant main effects.

24. Question Answer Hodgepodge 100 ANSWER: This is the purpose of post hoc tests (e.g., Fisher’s LSD, Tukey’s HSD). QUESTION: What is they enable us to identify specific differences between 3 or more groups without raising α?

25. Question Answer Hodgepodge 200 ANSWER: In two-way ANOVA, the circumstance under which you run post hoc tests for a factor. QUESTION: What is when the factor consists of more than 2 groups or levels)?

26. Question Answer Hodgepodge 300 ANSWER: This is what it means to say have a 3 × 2 design. QUESTION: What is we have two factors with three groups or levels of the first factor and 2 groups or levels of the second factor?

27. Question Answer Hodgepodge 400 ANSWER: A researcher using math SAT scores (pre-admittance) to predict students’ subsequent grades in college math classes. This is my IV and DV. QUESTION: What is my IV=SAT scores and my DV= grades in college math classes.

28. Question Answer Hodgepodge 500 ANSWER: If X is the IV (satisfaction with Miami libraries) and Y is the DV (rated rigor of Miami courses), this would be the predicted value of y when X = 4.23: Y´ =.46X + 3.86. QUESTION: What is Y´ =.46(4.23) + 3.86 = 5.81?