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5a)

Complete the following: Use an existing dataset to compute a factorial ANOVA. All SPSS output should be pasted into your document. The “Activity 5a.sav” file contains a dataset of a researcher interested in finding the best way to educate elementary age children in mathematics. In particular, she thinks that 5th grade girls do better in small class sizes while boys excel in larger classes. Through the school district, she has arranged a pilot program in which some classroom sizes are reduced prior to the state-wide mathematics competency assessment. In the dataset, you will find the following variables:

· Participant: unique identifier

· Gender: Male (M) or Female (F)

· Classroom:

· Small (1) – no more than 10 children

· Medium (2) – between 11 and 19 children

· Large (3) – 20 or more students

· Score – final score on the statewide competency assessment.

Complete the following:

1. Exploratory Data Analysis.

a. Perform exploratory data analysis on all variables in the data set. Realizing that you have six groups, be sure that your exploratory analysis is broken down by group. When possible, include appropriate graphs to help illustrate the dataset.

b. Give a one to two paragraph write up of the data once you have done this.

c. Create an APA style table that presents descriptive statistics for the sample.

2. Factorial ANOVA. Perform a factorial ANOVA using the “Activity 5a.sav” data set.

a. Is there a main effect of gender? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).

b. Is there a main effect of classroom size? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).

c. Is there an interaction between your two variables? If so, using post hoc tests, describe these differences.

d. Is there support for the researcher’s hypothesis that girls would do better than boys in classrooms with fewer students? Explain your answer.

e. Write up the results in APA style and interpret them. Be sure that you discuss both main effects and the presence/absence of an interaction between the two.

5B)

Complete the following:

1. In an MS Word document, briefly restate your research area of interest and identify one dependent variable and two independent variables, in which the independent variables would likely be covariates.

2. Now assume you conducted an ANCOVA that shows both the first independent variable as well as the covariate significantly predicts the dependent variable.

3. Create a mock ANCOVA output table (see SPSS Output in chapter 12 of your text for an example) that supports the relationship shown above. Report your mock finding in APA style.

6)

In this assignment, you will use an existing dataset to analyze dataset from repeated-measures experimental design. All SPSS output should be pasted into your Word document. Also, you will create a dataset for a hypothetical repeated-measures experimental design. Then, you will answer questions about your hypothetical dataset. The “Activity 6.sav” file contains a dataset of a high school teacher interested in determining whether his students’ test scores increase over the course of a 12 week period. In the dataset, you will find the following variables:

· Participant: unique identifier

· Gender: Male (M) or Female (F)

· Score_0 – score on the initial course pre-test (first day of class)

· Score_2 – score at the end of week 2

· Score_4 – score at the end of week 4

· Score_6 – score at the end of week 6

· Score_8 – score at the end of week 8

· Score_10 – score at the end of week 10

· Score_12 – score at the end of the course (week 12)

Complete the following:

1. Exploratory Data Analysis.

a. Perform exploratory data analysis on the relevant variables in the dataset. When possible, include appropriate graphs to help illustrate the dataset.

b. Give a one to two paragraph write up of the data once you have done this.

c. Create an APA style table that presents descriptive statistics for the sample.

2. Repeated Measures ANOVA. Perform a repeated measures ANOVA using the “Activity 6.sav” data set. You will use Score_0 through Score_12 as your repeated measure (7 levels), and gender as a fixed factor.

a. Is the assumption of sphericity violated? How can you tell? What does this mean in the context of interpreting the results?

b. Is there a main effect of gender? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).

c. Is there a main effect time (i.e., an increase in scores from Week 0 to Week 12)? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case). Examine the output carefully, and give as much detail as possible in your findings.

d. Write up the results in APA style and interpret them. Be sure that you discuss both main effects and the presence/absence of an interaction between the two .

3. Briefly restate your research area of interest.

a. Identify at least 2 variables for which you would utilize a repeated measures ANOVA in your analysis.

b. Describe the variables and their scale of measurement.

c. Identify whether each factor is fixed or repeating. Where on the SPSS output would you look to find out if you violated the assumption of sphericity? If the data did violate this assumption, what would the impact be on your analysis?

7a)

Complete the following:

1. What are the most common reasons you would select a non-parametric test over the parametric alternative?

2. Discuss the issue of statistical power in non-parametric tests (as compared to their parametric counterparts). Which type tends to be more powerful? Why?

3. For each of the following parametric tests, identify the appropriate non-parametric counterpart:

a. Dependent t test

b. Independent samples t test

c. Repeated measures ANOVA (one-variable)

d. One-way ANOVA (independent)

e. Pearson Correlation

Length: 250 words or less for each question.

7b)

In this assignment, you will perform the non-parametric version of the tests you used previously. In each case, assume that you opted to use the non-parametric equivalent rather than the parametric test.

Using the data files from earlier assignments, complete the following tests and paste your results into your document:

1. Activity 4a: non-parametric version of the dependent t test

2. Activity 4areformatted: non-parametric version of the independent t test

3. Activity 4C: non-parametric version of the single factor ANOVA

Name the file in the following format: lastnamefirstinitialEDU8006-6.doc (example: smithbEDU8006-6B.doc).

8)

You are playing the role of a researcher that is testing new medication designed to improve cholesterol levels. When examining cholesterol in clinical settings, we look at two numbers: low-density lipoprotein (LDL) and high-density lipoprotein (HDL). You may have heard these called “good” (HDL) and “bad” (LDL) cholesterol. For LDL, lower numbers are better (below 100 is considered optimal. For HDL, 60 or higher is optimal. In this experiment, the researcher is testing three different versions of the new medication. In data file “Activity 8.sav” you will find the following variables:

· Drug (0=control, 1=Drug A, 2=Drug B, 3=Drug C),

· LDL and HDL (cholesterol numbers of participants after 12 weeks).

Using a MANOVA, try to determine which version of the drug (A, B or C) shows the most promise. Perform the following analyses, and paste the SPSS output into your document.

1. Exploratory Data Analysis.

a. Perform exploratory data analysis on the relevant variables in the dataset. When possible, include appropriate graphs to help illustrate the dataset.

b. Give a one to two paragraph write up of the data once you have done this.

c. Create an APA style table that presents descriptive statistics for the sample.

2. Perform a MANOVA. Using the “Activity 8.sav” data set perform a MANOVA. “Group” is your fixed factor, and LDL and HDL are your dependent variables. Be sure to include simple contrasts to distinguish between the drugs (group variable). In the same analysis, include descriptive statistics, and parameter estimates. Finally, be certain to inform SPSS that you want post-hoc test to help you determine which drug works best.

a. Is there any statistically significant difference in how the drugs perform? If so, explain the effect. Use the post hoc tests as needed.

b. Write up the results using APA style and interpret them.

3. Reflect on your experience throughout the course. In your document, include a brief assessment of what you have learned. In 2-3 paragraphs, cover the following:

a. What were the three most important things you learned?

b. How will the material in this course help you in your dissertation work?

c. What would you like to have seen covered that wasn’t?