Module 4 - SLP
MANOVA/MANCOVA
The next stages of the SLP will involve checking assumptions and performing multiple regression for predictors of email. This will involve using the same dataset,GSS.sav, which contains 6 variables:
ID, age (years), email (using email measured in weekly hours), children (number of children), sex (0=female, 1=male), and income (0= LT $1000 – 24999, 1= $25000 or more).
*Please refer toSPSS Commandsfor tips on analyzing data.
Modules 3-5
Stage 4. Assumption checking
Check the assumptions of normality, linearity, homoscedasticity, and collinearity. Describe and provide support regarding whether the assumptions were met (Include supporting tables/graphs).
Stage 5.Multiple regression
- Perform multiple regression to identify whether there is an association between the independent variables (age, children, sex, and income) and email, using forced entry and stepwise methods of regression. Describe, compare, and interpret your results (include supporting tables).
- Perform regression using only sex as an independent variable. Compare your results to the above regression results. Describe and interpret your findings.
Please submit stage 4-5 of SLP at the end of Module 5.
SLP Assignment Expectations
Length: SLP assignments should be at least 2 pages (500 words) in length excluding tables.
References: Any references used should be from academic sources and cited using APA format.