Week 8 SPSS Assignment

WEEKLY
ASSIGNMENT 8 (the last one…you made it!)

Enter your answers in the spaces provided. Save the file using your last
name as the beginning of the file name (e.g., Krieger_SOCI332_Weekly Assignment 8.doc) and submit via
“Assignments.” When appropriate, show your work. You can do the work by hand,
scan/take a digital picture, and attach that file with your work.

1.   Make
up and discuss research examples corresponding to the various techniques
introduced throughout this course. Describe a plausible study for each of the
following statistical procedures, indicating how it would apply and what
results you would predict. Also include information about the number of
participants you would assess and how you would go about estimating effect size
and statistical power (when relevant).

a.  correlation

b.  multiple regression

c.  t test for
independent means

d.  t test
for dependent means

e.  ANOVA

f.  chi square for goodness of fit

g.  chi-square test for independence

SPSS
ASSIGNMENT

Chi-Square

SPSS instructions:

Chi-Square Test
for Goodness of Fit:

Open
SPSS

Remember
that SPSS assumes that all the scores in a row are from the same participant.
In the study presented in #1, there are 20 students, some of whom have been
suspended for misbehavior. The primary conflict-resolution style used by each
student is also entered. [Ignore the first variable in this analysis.]

When
you have entered the data for all 20 students, move to the Variable View window
and change the first variable name to “SUSPEND” and the second to “STYLE”. Set
the number of decimals for both variables to zero.

Click Analyze à Non-Parametric Tests à Chi-Square

Click
the variable “STYLE” and then the arrow next to the box labeled “Test Variable
List” to indicate that the chi-square for goodness of fit should be conducted
on the conflict-resolution style variable.

Note
that “All categories equal” is the default selection in the “Expected Values”
box, which means that SPSS will conduct the goodness of fit test using equal
expected frequencies for each of the four styles, in other words, SPSS will
assume that the proportions of students each style are equal.

Click
OK.

Chi-Square Test
for Independence:

Open
SPSS

For
#2, you need to add the variable “SUSPEND” to the analysis. Remember that in
this problem, we are interested in whether there was an association between
conflict-resolution style and having been suspended from school for
misbehavior. Since the analysis will involve two nominal variables, the
appropriate test is a chi-square test for independence.

Click
Analyze à
Descriptive Statistics à Crosstabs

Since
“SUSPEND” is already selected, click the arrow next to the box labeled “Rows.”

Click
the variable “STYLE” and click the arrow next to the box labeled “Columns.”

Click
“Statistics” and click the box labeled “Chi-Square.”

Click
Continue.

Click
“Cells” and click the box labeled “Expected.”

Click
Continue.

Click
OK.

1. 
The
following table includes the primary method of conflict resolution used by 20
students.

Method	Aggressive	Manipulative	Passive	Assertive
N of Students	8	2	2	8

a. 
Following
the five steps of hypothesis testing, conduct the appropriate chi-square test
to determine whether the observed frequencies are significantly different from
the frequencies expected by change at the .05 level of significance. Clearly
identify each of the five steps.

b. 
Explain
your response to some who has never had a course in statistics.

2. 
Next,
researchers categorized the students based on the primary method of conflict
resolution used and whether the student had been suspended from school for
misbehavior.  These data are presented
below.

Method

Suspended	Aggressive	Manipulative	Passive	Assertive	Total
Yes	7	1	1	1	10
No	1	1	1	7	10
Total	8	2	2	8	20

a. 
Following
the five steps of hypothesis testing, conduct the appropriate chi-square test
to determine whether the observed frequencies are significantly different from
the frequencies expected by change at the .05 level of significance. Clearly
identify each of the five steps.

b. 
Calculate
the effect size.

c. 
Explain
your response to someone who has never had a course in statistics.

Submit the following files to the Drop
Box no later than Sunday of Week 8:

ü  Word file
(this file) saved as [your last
name]_SOCI332_Weekly Assignment 8.doc

ü  SPSS output
file (.spv) saved as [your last name]_SPSS-week8_output

The
deadline for this assignment is 11:59 PM EST on Sunday of Week 8