SOC 390 SPSS Assignment ANOVA

Question 1

1 / 1 pts

Imagine that you are a researcher who is interested in whether average job satisfaction differs among people who are short, average, or tall in height.

You measure average job satisfaction, which is shown in the SPSS file as “jobsat”. The variable was measured by asking people the following: All things considered, how satisfied are you with your main job? Responses ranged from 1 (completely dissatisfied) to 7 (completely satisfied).

You also have people indicate whether they consider themselves to be short, tall, or average in height. This data is shown in the “height” variable in SPSS. Values are coded as follows:

1 = short

2 = average

3 = tall

What is the null hypothesis for this research question?

There is no difference in mean job satisfaction across the three height groups.

The mean job satisfaction for tall people is higher than the mean job satisfaction for short people.

The mean of one group will differ from the average job satisfaction of the population.

Mean job satisfaction will differ between at least two of the height groups.

Question 2

1 / 1 pts

What is the alternative hypothesis for this research question?

The mean of one group will differ from the average job satisfaction of the population.

There is no difference in mean job satisfaction across the three height groups.

The mean job satisfaction for tall people is higher than the mean job satisfaction for short people.

Mean job satisfaction will differ between at least two of the height groups.

Question 3

1 / 1 pts

Conduct an ANOVA to see if height is related to job satisfaction. The obtained F-value for the test is ___________ .

Enter your answer rounded to THREE decimal places (i.e., 10.001, not 10.01, not 10, not 10.1).

Question 4

1 / 1 pts

The p-value that accompanies the obtained F-value is _______ .

Enter your answer rounded to THREE decimal places with no zero to the left of the decimal (i.e., .001, not 0.001, not .01, not .0).

Question 5

1 / 1 pts

Based on an alpha of .05, select the most appropriate conclusion you could draw from the ANOVA TEST ALONE (NOT including a post hoc test):

There is a significant relationship between job satisfaction and height. Specifically, short students are significantly more satisfied with their jobs than tall students.

There is NOT a significant relationship between job satisfaction and height.

There is a significant relationship between job satisfaction and height. However, without further analysis, we cannot say which height groups are significantly different from each other in terms of job satisfaction.

There is a significant relationship between job satisfaction and height. Specifically, tall students are significantly more satisfied with their jobs than short students.

Question 6

1 / 1 pts

Now you wonder - which height groups differ significantly in their job satisfaction.

Re-run your ANOVA and select the “Bonferroni” post hoc test.

Based on the results of your post hoc test, there is a significant difference between the means of the:

Tall and average students

Average and short students

Tall and short students

Average and tall students

Question 7

1 / 1 pts

How would you describe the difference in means that you found in your post hoc test?

People who are average height report lower job satisfaction than people who are tall.

People who are average height report high job satisfaction than people who are tall.

People who are short report higher job satisfaction than people who are average height.

People who are short report lower job satisfaction than people who are tall.

People who are short report lower job satisfaction than people who are average height.

Question 8

3 / 3 pts

You are awesome! Click TRUE!

True

False

Quiz Score: 10 out of 10

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