INSTRUCTIONS FOR DISCUSSION
For SPSS
Go to: Analyze>Compare Means>One-Way ANOVA
Read the PSPP anova Lecture for step-by-step help.
PART 1
Astrologers assert that our birth dates influence our success (or lack thereof) in life. Test this assumption with the GSS2008 data by analyzing the relationship between respondent’s astrological sign (ZODIAK) with respondent’s socioeconomic index (SEI). The SEI is an indicator of economic and socio-economic attainment: The higher the SEI score, the more successful the respondent.
Make a prediction:
Can a person’s astrological sign predict their socioeconomic success? Yes No
If so, what zodiac sign is the most successful ____________
Now perform the analysis using the GSS2008 data
Mean SEI10 of Pisces ______________
Mean SEI10 of Taurus ______________
Mean SEI10 of your astrological sign ______________
ANOVA significance level ______________
Is the relationship statistically significant? Yes No
On the basis of these data, would you say that astrologers are correct in their assertion of the power of the stars? Remember to explain this relationship based on what the test measures. Why?
PART 2
FOR SPSS:
Go to: Analyze>Compare Means>One-Way ANOVA
To include the Turkey test, click on Post-Hoc from the dialog box that appears when you go to ANOVA, after you enter the variables (one variable and one factor), be sure to click “descriptives” under statistics AND to click on the “Post-Hoc” button, and then click the box for “Turkey HSD). click “continue,” then OK
For PSPP
Read the PSPP Chapter 6 for step-by-step help (Mac Only).
For windows PSPP 1.53
Go to: Analyze>Compare Means>One-Way ANOVA
To include the Turkey test, click on Post-Hoc from the dialog box that appears when you go to ANOVA, after you enter the variables (one variable and one factor), click on “Turkey,” click “continue,” then OK
Test whether there is an association between a person’s educational attainment and how much television they watch. Use the GSS2008 data set to perform an ANOVA on respondents’ highest educational degree (DEGREE) and the hours per day they watch television (TVHOURS)
Now perform the analysis with PSPP [USE THE SYNTAX BELOW TO DO THE ENTIRE ANALYSIS] and find:
WE WILL USE THIS TO DO THE FOLLOWING QUESTIONS: One-way ANOVA
File
New
Syntax
The syntax editor will open, then type [do not type in BRACKETS]
Oneway [enter]
/Variables = var1 BY var2 [enter]
/Statistics = descriptives [enter]
/Posthoc = tukey [go to tool ribbon “File Edit Run Windows Help” and click on RUN and then ALL. Check you output and you should have a nice TABLE. Var1 and var2 are the variables being used for the tables. Just type in the variable name as written in the assignment.
Do not type Var1 and Var2 as they do not stand for anything-and you will get an error message.
Hint on the above TV hours (dependent variable) BY degree (factor)
- Mean hours for people with less than a high school degree
- Mean hours for people with a high school degree
- Mean hours for people with a junior college degree
- Mean hours for people with a bachelor’s degree
- Mean hours for people with a graduate degree
- ANOVA significance level
- Is the relationship statistically significant
- THE TUKEY TEST ALLOWS US TO SEE IF THERE IS A SIGNIFICANT DIFFERENCE AMONG THE DIFFERENT GROUPS, FOR EXAMPLE: According to the Tukey Test, which categories have means that are significantly different from the means of those with a high school degree? SO YOU CHECK THE BIG ROW “HIGH SCHOOL” IN THE TUKEY TEST BOX (MULTIPLE COMPARISONS), AND DO YOU SEE ANY CATEGORIES THAT ARE SIGNIFICANTLY DIFFERENT? WHICH ONE(S)?
