
SPSS Regression Analysis – Linear & Logistic Models
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5 days
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What you get with this Offer
I will conduct a regression analysis in SPSS — linear regression for continuous outcomes or binary logistic regression for dichotomous outcomes — with full assumption checking, model building (simultaneous, hierarchical, or stepwise as appropriate), regression diagnostics, and a results report suitable for academic or professional publication. Regression analysis reported without diagnostics (residual plots, Cook's distance, VIF for multicollinearity, Hosmer-Lemeshow for logistic) is incomplete analysis; reviewers and markers consistently fail or request revision of regression reports that omit these components.
The analysis covers predictor variable screening, assumption testing (linearity, independence, homoscedasticity, normality of residuals for linear; or linearity in log-odds for logistic), model building with R-squared or Nagelkerke R-squared reporting, coefficient table with standardised betas or odds ratios, model diagnostics, and APA-formatted results write-up with interpretation.
This service suits researchers, analysts, and postgraduate students conducting linear or logistic regression for dissertations, journal papers, or organisational research projects.
The analysis covers predictor variable screening, assumption testing (linearity, independence, homoscedasticity, normality of residuals for linear; or linearity in log-odds for logistic), model building with R-squared or Nagelkerke R-squared reporting, coefficient table with standardised betas or odds ratios, model diagnostics, and APA-formatted results write-up with interpretation.
This service suits researchers, analysts, and postgraduate students conducting linear or logistic regression for dissertations, journal papers, or organisational research projects.
What the Freelancer needs to start the work
Please share your SPSS .sav file, your outcome variable and predictor list, your model building approach (simultaneous or hierarchical with block structure), your research question, significance threshold, and any journal or dissertation formatting requirements.
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