For Stat_Student,

Week 5 Assignment

Application: ANOVA Study: The Alpha Shoe Company

When you read published research studies, you find experimental studies in which one or more variables are manipulated. One example is a study on whether students with windows in their classrooms give their instructors higher evaluations than students with no windows in their classrooms. You could do a basic comparison of these two groups with a t test, which you studied in Week 4. Perhaps it would be more interesting to have additional levels of environment. You might compare instructor evaluations when students are in a class with no windows, a class with windows that look out to a parking lot, a class with windows that look out to a park, or a class with no windows but pictures of windows on the wall. Since you have multiple levels of the factor, environment, an ANOVA would help you understand the differences between each.

This Assignment will give you practice conducting a study with multiple levels of a factor by working once again with the Alpha Shoe Company. Since many research studies rely on the ANOVA for analysis, you will enhance your ability to understand the results of research studies that you evaluate in the future.

Scenario:

Imagine that Alpha Shoe Company wants to do a second study on the vertical lift basketball players can gain from their shoes. Recall that they believe that how high a player can jump is affected by the type of shoe that player wears. They identified 25 professional basketball players and randomly assigned each of them to wear one of the five types of shoe, then measured how high each player jumped. Each players jumping height is given below in inches:

Pluto	Omega II	Beta Super	Delta	Gamma
29.1	29.2	28.5	28.4	27.7
29.8	29.1	28.9	28.0	27.9
30.0	28.8	29.2	28.8	28.0
29.0	28.7	28.3	29.0	28.2
31.1	28.8	30.0	28.9	28.0

Assignment:

To complete this Assignment, submit by Day 7 answers to the following. Use SPSS to compare the means of the scores of these five shoes with a one-way ANOVA. Save and submit both your SPSS data file and your output.

Before comparing the scores with an ANOVA, state your null and alternative hypotheses in words (not formulas).

Identify the independent and dependent variables.

Name the levels in your identified factor.

State the within-group degrees of freedom and explain how you calculate it.

State the between-group degrees of freedom and explain how you calculate it.

Identify the obtained F value.

Identify the p value.

Explain whether the F test is significant. Explain how you know and what it tells you.

Explain what you can conclude about the effect of shoe choice on vertical lift (jumping height).

Should you conduct a post hoc test? Why or why not? If yes, conduct a Tukey HSD post hoc analysis. Explain what the results tell you about type of shoe choice and vertical lift.

Submit three documents for grading: your text (Word) document with your answers and explanations to the application questions, your SPSS Data file, and your SPSS Output file.

Provide an APA reference list.

Resources

Readings

Heiman, G. (2015).Behavioral sciences STAT 2(2nd ed).Stamford, CT: Cengage.

o Chapter 11, Hypothesis Testing Using the One-Way Analysis of Variance (pp.184-199)

o Chapter 11 Review Card p. (11.4)

Media

Laureate Education (Producer). (2013a). Computing ANOVAs and post hoc testing [Video file]. Retrieved from Laureate MyMedia player. (PSYC 3002/PUBH 5003) This video demonstrates how to conduct an ANOVA test and a post hoc test in SPSS.

StatsLectures.com. (2010). One-way ANOVA [Video file]. Retrieved from http://www.youtube.com/watch?v=51QZa7b0Ozk This video steps through a one-way ANOVA test. This video includes calculations of degrees of freedom and test statistics.