Week 9

Week nine focuses on hypothesis testing and t tests. The readings from Cooper and Schindler (2011) and Norušis (2012) introduce the process of testing hypotheses. This follows a structured process for conducting quantitative research in which the researcher first specifies hypotheses when planning a study. The readings also cover t tests, a useful technique for hypothesis testing. Finally, you will have the opportunity to conduct a t test with a sample dataset.

Assignment 9.1

For this assignment, you will reproduce the output of Norušis (2012) Figures 8-6 through 8-13.

1. Use the truancy.sav file provided on the disc with the Norušis text or downloaded from the program library.
2. Follow the instructions on page 142 to reproduce the output for Figures
   1. 8-6
   2. 8-7
   3. 8-8
   4. 8-9
   5. 8-10
   6. 8-11
   7. 8-12
   8. 8-13
3. Save the output file.
   Week 10
   The topic for week ten is analysis of variance (ANOVA). ANOVA is a major statistical model that applies to many research questions and hypotheses. While completing this week, please consider the fundamental purpose of ANOVA is to compare the means of more than one group. Recall the t test is limited to two groups.
   The assignment for week ten gives you the opportunity to practice conducting an ANOVA. The reading provides guided examples of ANOVA and the interpretation of results. It will serve as a good reference. Please ask any questions you have.
   For this assignment, you will analyze the sales performance of three groups of individuals.
4. Use the salesperformance.sav file provided within the samples folder of SPSS or downloaded from the program library.
5. Conduct a one-way analysis of variance
6. Save the output file.
   Week 11
   Week 11 will focus on correlation. This will include two major topics within correlation. The first is bivariate correlation, which is the relationship between two variables. The second topic is the interpretation of correlations, a critical concept. You will practice running correlations within SPSS for your assignment. Chapter 11 within the Norušis (2012) reading covers how to obtain correlations in SPSS and how to read the output. The chapter is a good, pragmatic reference for your assignment and future analyses you may conduct.
   For this assignment, conduct a correlation analysis of beginning salary to current salary.
7. Use the Employee data.sav file provided within the samples folder of SPSS or downloaded from the program library.
8. Run a correlation analysis of beginning salary (salbegin) and current salary (salary).
9. Save the output file.
   Week 12
   Week 12 builds on correlation and takes us into the world of regression. For instance, while bivariate correlation tells us the magnitude of a relationship between two variables, bivariate regression tells us how that relationship functions (e.g., change in X is associated with how much change in Y). Linear regression is a widely used method of analysis. Chapter 12 within Norušis (2012) presents how to conduct bivariate linear regressions in SPSS and how to read the output.
   In your assignment, you will conduct a simple regression analysis and prepare a brief report of the results.
   For this assignment, you will again use Employee data.sav and write a report of your analysis and results in APA style.
10. Use the Employee data.sav file provided within the samples folder of SPSS or downloaded from the program library.
11. Run a bivariate linear regression analysis of beginning salary (salbegin) and current salary (salary).
12. Write a two-paragraph report of your results in APA style.
13. Include at least one table or figure.

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Solution: The downloadable solution consists of 8 pages, 1086 words and 12 charts.
Deliverable: Word Document