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Jeopardy!

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

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Jeopardy!

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

  2. 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? FINAL JEOPARDY

  3. ANSWER:For ANOVA, these will always be the null and alternative hypotheses respectively. QUESTION: What is H0: all of the means are equal (or µ1 = µ2 = µ3 = µk)HA: all of the means are not equal? One-way ANOVA100

  4. 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 H0) and look at multiple comparisons table to see which groups are significantly different from one another. One-way ANOVA200

  5. 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 H0)? One-way ANOVA300

  6. 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). One-way ANOVA400

  7. 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? One-way ANOVA500

  8. ANSWER: This is Pearson’s r. QUESTION: What is r = .04 (.035)? Correlation & Regression100

  9. 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 isthis is a moderately strong negative correlation, as amount of time spent in library goes up, rec goes down and vice versa? Correlation & Regression200

  10. 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? Correlation & Regression300

  11. 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? Correlation & Regression400

  12. 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. Correlation & Regression500

  13. ANSWER: In two-way ANOVA, a plot where the lines on the graph are not parallel indicates this. QUESTION: What is an interaction? Plots and Graphs100

  14. ANSWER: The effects shown in this plot. QUESTION: What is a main effect of both gender and class rank with NO interaction? Plots and Graphs200

  15. ANSWER: These are the effects shown in this plot. QUESTION: What is two main effects and an interaction? Plots and Graphs300

  16. ANSWER: The types of effects you see in this plot. QUESTION: What is a main effect of Greek involvement only? Plots and Graphs400

  17. ANSWER: The type of relation depicted here (Hint: think correlation) QUESTION: What is a negative correlation or relation? Plots and Graphs500

  18. 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? Factorial ANOVA100

  19. 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? Factorial ANOVA200

  20. 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? Factorial ANOVA300

  21. 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? Factorial ANOVA400

  22. ANSWER: When the interaction is not significant (p > .05) your interpretation should focus on this. QUESTION: What are the significant main effects. Factorial ANOVA500

  23. 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? Hodgepodge100

  24. 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)? Hodgepodge200

  25. 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? Hodgepodge300

  26. 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. Hodgepodge400

  27. 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? Hodgepodge500

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