01 Jul Week 5 – IA Analysis of Variance, statistics homework help
Question Description
Week 5 – IA Analysis of Variance(OVERVIEW) (tohw)
This Assignment has 3 parts (attached separately with this Overview),
1. Part 1. Module 5 Problem Set (Attached)
2. Part 2. Module 5 SPSS Data Interpretation
3. Part 3. Statistical Tests
4. DQs (Sent under separate attachment)
Statistical Tests
Doctoral researchers must be able to understand statistical tests and select the appropriate test for the research they are conducting. This assignment will allow you to practice your skills in selecting and using the appropriate statistical tests for a given research study.
General Information
Use the following information to ensure successful completion of the assignment:
Researchers wanted to explore self-esteem in adolescent boys and adolescent girls. Each respondent completed a 10-item self-esteem scale (they chose one rating for each item from a Likert-type scale, 1 = strongly disagree and 5 = strongly agree). The sum of the 10 ratings was each respondent’s self-esteem score. Their results were: t = 2.01, d = .90 (40 girls, 40 boys).
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
This assignment requires that at least two additional scholarly research sources related to this topic, and at least one in-text citation from each source be included.
Directions
In an essay (250-500 words), use the scenario presented above to thoroughly answer the following questions:
What statistical test did the researchers use to determine if there was a statistically significant difference in levels of self-esteem between the boys and the girls?
What was the purpose of calculating a Cohen’s d? When is a Cohen’s d calculated? Interpret d=.90. What does it mean in this example?
What if the researcher compared the adolescent boys before treatment and again after treating them for depression? What type of t-test would be most appropriate in this case, and why?
Module 5 Problem Set
The problems assigned here are intended to give you contextual experience with the types of statistics you will encounter as you conduct your dissertation research. Completing the assigned problems will increase your comfort level with these tools.
General Requirements:
Use the following information to ensure successful completion of the assignment:
This assignment is self-scored.
Refer to “Module 5 Problem Set.”
Solutions are available.
Directions:
1. Complete the problems in “Module 5 Problem Set.”
2. Check your solutions by comparing your answers to the “Module 5 ProblemSolutions”
document.
3. Submit to the instructor a statement indicating that you have completed this assignment.
Module 5 SPSS Data Interpretation
A between-group one-way analysis of variance (ANOVA) compares the mean values of more than two groups. In this assignment, you will review the SPSS output for an ANOVA and use it to answer questions about the means of the groups.
General Requirements:
Use the following information to ensure successful completion of the assignment:
Review “SPSS Access Instructions” for information on how to access SPSS for this assignment.
Download “SPSS Data Set Legend” for use with this assignment.
Download “Module 5 SPSS Output” for use with this assignment.
Directions:
Review the SPSS output file, which reports the results of the between-group (independent group) one-way ANOVA to see if the mean alcohol by volume (%) of the beer differs as a function of quality of the brand as rated by a beer expert (in 2012). Answer the following questions based on your observations of the SPSS output file:
1. Looking at the descriptives (first information), do you see differences in the mean
alcohol contents for the three levels of quality? Explain.
2. Looking at the Test for Homogeneity of Variances (Levene Statistic), is it reasonable to
proceed with the ANOVA? Is the assumption met, or violated? How do you know?
3. Looking at the results of the ANOVA, is there a significant difference in the mean
alcohol content for beers in the three quality groups? How do you know? Write the
results in the following format: F(df value) = ___, p value = ______.
4. The pairwise post hoc tests indicate which quality groups’ means are statistically
significantly different for the others. Using the results of the Tukey HSD post hoc test,
what two quality rating groups had significantly different mean alcohol by volume
levels? How do you know?
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