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- Computing a two-independent sample t test is appropriate when
- A researcher reports a significant mean difference in a given population. If she computes both eta-squared and omega-squared to measure the effect size, then which estimate will be the most conservative?
- For an analysis of variance, the term “one-way” refers to
- The term “between-subjects” refers to
- The source of variability associated with error variance in the one-way between-subjects ANOVA is called
- A researcher compares differences in positivity between participants in a low-, middle-, or upper-middle-class family. If she observes 15 participants in each group, then what are the degrees of freedom for the one-way between-subjects ANOVA?
- A professor compared differences in class grades between students in their freshman, sophomore, junior, and senior years of college. If different participants were in each group, then what type of statistical design is appropriate for this study?
- Homogeneity of variance is an assumption for the one-way between-subjects ANOVA. What does this assumption mean?
- Following a significant one-way between-subjects ANOVA in which k (the number of groups) > 2, what is the next appropriate step?
- Post hoc tests are computed
- When we reject the null hypothesis in the analysis of variance, we can conclude that
- When looking at multiple comparisons, the more tests that you run, the more likely that you will have a _______.
- Two researchers (A and B) compute a two-independent sample t test, each. For both tests, the standard error is the same, but the mean difference between the groups is larger for Researcher A. Which test is more likely to result in a decision to reject the null hypothesis?
- When the variability attributed to between-groups is equal to the variability attributed to error, then the value of the test statistic for a one-way between-subjects ANOVA is,
- A researcher computes the following one-way between-subjects ANOVA table for a study. Find k (the number of groups) and n (total number of participants per group).
- To complete the one-way between-subjects ANOVA table, find the choice with the answers that match with A, B, C, D and E in the table
- Please use the Quiz 2B data (Quiz2B.HSLS09.STUDENT-ANOVA data.sav) to run the appropriate analysis. A researcher wants to compare how math identity scores (mthid) differ by sex (sex) (i.e., female – male). The null hypothesis is that there is no sex difference in math identity scores. She used the alpha level of 0.05 to evaluate the null hypothesis with an independent-sample t-test.
- Use Quiz 2B data (Quiz2B.HSLS09.STUDENT-ANOVA data.sav) to test the null hypothesis that averages of mathematics score among ethnic groups in the population are equal. Use the data and/or information provided to answer the questions. The figure below is the mean plot of mathematics score as a function of ethnicity. Which ethnic group has the highest mean score and the lowest mean score, respectively?
- Using Quiz 2B data (Quiz2B.HSLS09.STUDENT-ANOVA data.sav), conduct General Linear Model (GLM) univariate analyses to complete the table below.
- Using the table or analysis you conducted with Quiz 2B data for the equality of group means among ethnic groups, what is the effect size for this test using omega-squared? Answered the value in three decimal places.
- Using Quiz 2B data (Quiz2B.HSLS09.STUDENT-ANOVA data.sav), conduct General Linear Model (GLM) univariate analyses, followed by a post-hoc analyses. According to the post-hoc analyses for multiple pairwise mean comparisons, which pair of groups showed a NONSIGNIFICANT mean difference?
- You have been hired as the chief policy analyst for the Winooski, Vermont School Board. The school superintendent is concerned that too many high school students are working too many hours in outside jobs, and that this is affecting the academic performance of students at Winooski High School. She is contemplating policies designed to limit the number of hours that students may work.
- On the other hand, one of the members of the School Board believes that high school students must learn to be active participants in our free ‐ market system, and does not want to discourage students from working after school. Moreover, he argues that long work hours outside of school is good for students by requiring them to budget their time more efficiently, and that academic performance is not hurt by students working after school.
- As the chief policy analyst, you have been asked to enter the debate. In order to assess whether or not work weeks are related to academic performance, you have collected the following data in the table below on GPAs and hours worked per week for 30 students. Carefully construct the data in the SPSS for an appropriate data anlayses (Hint: you will have one column for Hours worked per week in three categories and another column for individual students’ GPA).