17. 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 player’s jumping height is
given below in inches:
Pluto
Omega II
Beta Super
Delta
Gamma
29.1
29.2
28.5
28.4
18. 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.
19. · 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.