PSYC 355 SPSS HOMEWORK 7

SPSS Homework 7 Instructions
Chi
Square
Part
1:

Green
& Salkind: Lesson 40, Exercises 1–4

The following helpful tips are numbered to
correspond with the exercise number to which they refer (a dash indicates that
no tips are needed):

1.
Use the method reviewed in the
presentation to weight the cases for this data set. (no points—done in data
file)
2.
Do a, b, and c. (2 pts for
output and 2 pts each for a–c)
3.
———- (2 pts)
4.
All homework “Results sections”
must follow the example given in the Course Content document “Writing Results
of Statistical Tests in Current APA Format” (Note: you do not have to refer to
a figure). (2 pts)

Green
& Salkind: Lesson 41, Exercises 1–3

The following helpful tips are numbered to
correspond with the exercise number to which they refer (a dash indicates that
no tips are needed):

NOTE:
This exercise does not use the weighted cases method. Use the data file “as is.”
1.
Do a, b, c, d, and e. For
letter “e,” this question is asking specifically about effect size. (2 pts for
output and 2 pts each for a–e)
2.
———- (2 pts)
3.
All homework “Results sections”
must follow the example given in the Course Content document “Writing Results
of Statistical Tests in Current APA Format” (Note: you do not have to refer to
a figure). (2 pts)

Part
2:

1. An industrial/organizational (I/O) psychologist is helping a company
determine the type of work stations preferred by its employees. The business
owner believes that people who work in different departments may prefer
different work station layouts. In order to examine this claim, the I/O psychologist
sets up 3 simulated work stations: private office (PO), semi-private office
(SPO), and open floor plan (OFP). She recruits employees from 3 different
departments: Information Technology, Human Resources, and Marketing. The
participants spend 30 minutes in each simulated work station performing general
pre-arranged tasks. At the end of the 1.5 hours, the participants turn in a
form on which they mark which work station they prefer. The results are listed in
the table on the following page. Perform
a chi square test of independence (using an SPSS two-way contingency table
analysis) to determine whether the proportions of work station preferences differ
across departments. Use the weighted cases method.

The steps will
be the same as the ones you have been practicing in Part 1 of the
assignment—the only difference is that you are now responsible for creating the
data file as well. Remember to name and define your variables under the
“Variable View,” then return to the “Data View” to enter the data. (2 pts)

Private Office

Semi-Private Office

Open Floor Plan

TOTAL

Information Technology

9

6

4

19

Human Resources

6

10

3

19

Marketing

7

3

9

19

TOTAL

22

19

16

57

2. Create a clustered bar graph
depicting your results. (2 pts)

3. Write an APA-style Results section describing the outcome. All
homework “Results sections” must follow the example given in the Course Content
document “Writing Results of Statistical Tests in Current APA Format” (Note:
you do not have to refer to a figure). (2 pts)

Part
3: Cumulative Homework

1. A researcher wants to find out if the number of absences from a
chemistry class are predictive of final exam scores at a local university. The data
from the past term are in the table below. Are number of absences predictive of
final exam scores? Choose the correct test to analyze this question, set up the
SPSS file, and run the analysis. Follow the directions on the following page.

Number of Absences

Final Exam Scores

1
1
2
3
4
5
5
5
6
6
6
7
7

98
95
89
89
80
85
80
75
76
69
70
62
60

a)
Paste appropriate SPSS output.
(2 pts)
b)
Paste appropriate SPSS graph. (2
pts)
c)
Write an APA-style Results
section describing the outcome. All homework “Results sections” must follow the
example given in the Course Content document “Writing Results of Statistical
Tests in Current APA Format” (Note: you do not have to refer to a figure). (2
pts)

Submit this assignment by 11:59 p.m. (ET)
on Monday of Module/Week 7.