Urgent SPSS Linear Regression
Budget: $15 – $25 AUD
I need a statistician who works comfortably in IBM SPSS to run a linear regression for me right away. My dataset is already cleaned and ready to import; what’s left is the modelling step with proper control variables and dummy-coding of the categorical predictors.
Here is what I am after:
• Create clear, reproducible SPSS syntax that recodes the categorical variables into accurate dummy variables, enters the controls first, and then adds the focal predictors in a hierarchical block.
• Check all standard assumptions—normality, homoscedasticity, multicollinearity (VIF), influential cases—and flag anything that needs attention.
• Provide the .spv output plus a concise write-up in everyday language so I can copy findings straight into my report (coefficients, CIs, F-tests, R² change, and an interpretation of effect sizes).
• Deliver everything ASAP; as soon as you finish, I will run a quick sanity check and close the project.
If something in the data suggests a different coding strategy or an interaction term would strengthen the model, please let me know before running it so we can adjust on the spot.
The sooner you can turn this around, the better—ideally within the next 24 hours.
Here is what I am after:
• Create clear, reproducible SPSS syntax that recodes the categorical variables into accurate dummy variables, enters the controls first, and then adds the focal predictors in a hierarchical block.
• Check all standard assumptions—normality, homoscedasticity, multicollinearity (VIF), influential cases—and flag anything that needs attention.
• Provide the .spv output plus a concise write-up in everyday language so I can copy findings straight into my report (coefficients, CIs, F-tests, R² change, and an interpretation of effect sizes).
• Deliver everything ASAP; as soon as you finish, I will run a quick sanity check and close the project.
If something in the data suggests a different coding strategy or an interaction term would strengthen the model, please let me know before running it so we can adjust on the spot.
The sooner you can turn this around, the better—ideally within the next 24 hours.