Quiz Over 2nd Half of Chapter 13 (pp. 292-310) of the 6th Edition


Two-Way Analyses of Variance

NOTE: A different quiz covers the 1st half of Chapter 13 (pages 276-292.)

Follow-Up Tests

  1. (T/F) If none of the two-way ANOVA's Fs turns out to be significant, no follow-up tests will be conducted.
  2. Follow-up tests can be used to "probe" significant main effects ___ (and/but not) significant interactions.

Follow-Up Tests to Probe Significant Main Effects
  1. (T/F) In Excerpt 13.9, the significant main effect of vignette required no follow-up investigation because there were only 2 levels of the vignette factor.
  2. In Excerpt 13.10, how many Tukey pairwise tests were conducted?
  3. If post hoc tests are used to probe the significant main effects of a 2x3 ANOVA, how many null hypotheses will be tested?

Follow-Up Tests to Probe a Significant Interaction
  1. (T/F) Researchers usually refrain from interpreting the main effect F-ratios if the interaction is significant.
  2. In the middle portion of Figure 13.1, which Source(s) would be "ns" if the cell mean of 5 is changed to 35?
  3. In a graph of a cell means, the ordinate and abscissa are usually labeled with the names of ______ & ______.
  4. If statistically significant interaction is graphed, the lines in the graph ___ (will/won't) be parallel.
  5. Comparing cell means that lie in individual rows and/or individual columns is a test of _____ _____ _____.
  6. In Excerpt 13.11, there would have been less interaction if the High/NC group had ended up with a mean equal to
    1. 120
    2. 150
    3. 210
    4. 300
  7. If the interaction from Excerpt 13.12 were to be displayed in a graph like that shown in Excerpt 13.11, how many lines would be in the graph?
  8. In Excerpt 13.12, the means involved in each Tukey test that was conducted were ______ (cell/main effect) means.
  9. If the follow-up strategy used Excerpt 13.13 had been used in Excerpt 13.12, a total of __ pairwise comparisons would have been made.

Planned Comparisons
  1. In two-way ANOVAs, planned comparisons ___ (can/can't) be done if the interaction is not significant.
  2. In Excerpt 13.14, the planned comparison was _____ (pairwise/nonpairwise) in nature.

Assumptions Associated With a Two-Way ANOVA
  1. (T/F) The assumptions of a two-way ANOVA are the same as those associated with a one-way ANOVA.
  2. Violations of the equal variance assumptions of a two-way ANOVA are more disruptive when the __'s differ.
  3. (T/F) In testing the normality and equal variance assumptions, researchers hope for nonsignificant results.
  4. Hartley's F-max test focuses on which assumption, normality or homogeneity of variance?
  5. If the normality or equal variance assumption seems untenable, the researcher can either ____ or ____.
  6. The term "____" means that a statistical tests functions as it should even if the assumptions are violated.
  7. An F-test is considered to be ____ (positively/negatively) biased if it turns out larger than it should.

Estimating Effect Size and Conducting Power Analyses in Two-Way ANOVAs
  1. Two-way ANOVAs ___ (can/can't) yield results that have statistical but no practical significance.
  2. (T/F) Excerpt 13.18 illustrates the fact that a single index of "practical significance" is computed for any two-way ANOVA, not individual indices for each main effect and the interaction.
  3. It's better to do a power analysis ____ (before/after) the data are collected and analyzed.
  4. (T/F) A strength-of-effect index can be computed for each main effect F and for the interaction F.
  5. The two most commonly used strength-of-effect measures are called _____ and _____.
  6. Most researchers ___ (do/don't) distinguish between statistical and practical significance in 2-way ANOVAs.

The Inflated Type I Error Rate in Factorial ANOVAs
  1. (T/F) Since a 2-way ANOVA with 1 dependent variable yields 3 F-tests, most researchers divide a by 3.
  2. If a researcher sets a equal to .05 when evaluating each of the 3 F-tests, the "______" error rate is equal to .05.
  3. The chances of a _____ (Type I/Type II) error will be increased if a researcher conducts 2 or more two-way ANOVAs without using the Bonferroni adjustment procedure (or some other procedure) to adjust alpha.

A Few Warnings Concerning Two-Way ANOVAs
  1. (T/F) If the research questions are not worth investigating, there's a fatal flaw in the study than cannot be salvaged by a two-way ANOVA . . . even if all assumptions are met and all analyses are properly executed.
  2. In Excerpt 13.9, the researchers report that "... the participants who read the weight-related teasing vignette reported significantly more negative affect (M = 15.75, SD = 4.99) than did those who read the neutral vignette (M = 13.87, SD = 3.42)." Do the reported SDs suggest the presence of "overlapping distributions"?
  3. (T/F) Because a two-way ANOVA is so powerful, its F-tests never lead to either Type I or Type II errors.
  4. (T/F) If the main effect means for one of the factors in a two-way ANOVA turn out to be identical, the null hypothesis associated with that particular factor should be considered to be true (i.e., fully accepted).


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NOTE: Questions dealing with the 1st half of Chapter 13 appear on a separate quiz.

 

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