10-24-2015, 08:34 AM

Download the attached file.

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

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

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

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 Non-Parametric Tests 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 Descriptive Statistics 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:

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

⎫ 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

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

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

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

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 Non-Parametric Tests 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 Descriptive Statistics 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:

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

⎫ 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