SPSS Masterclass: Learn SPSS From Scratch to Advanced

20. Logistic Regression

• 1. 1.What is Logistic Regression Page
• 2.Understanding the Logistic Regression Model. Page
• 3.Understanding and Logistic Regression Model Shape, Logit and Probabilities Page
• 4.Understanding the Equation of Logistic Regression Page
• 5.Requirements for Logistic Regression Analysis. Page
• 6.Assumptions of Logistic Regression Page
• 7.Concept of Odd Ratios (in Brief) Page
• 8.Setting Data and Understanding the Data File Page
• 9.How to Code the Binary Dependent Variable in Logistic Regression Page
• 10.Understanding Block Option and Interaction Option Page
• 11.Selecting Method and Coding Categorical Variable as Dummy Variable Page
• 12.Understanding Save Option Predicted Probabilities & Group Membership Page
• 13.Understanding Save Option Influence - Cook's Distance & DFBeta Options Page
• 14.Understanding Save Residuals – Standardized. Page
• 15.Understanding Classification Plots Option Page
• 16.Understanding Hosmer-Lemeshow Goodness of Fit Test Option Page
• 17.Understanding Case-wise Listing of Residuals. Page
• 18. Understanding Correlation of Estimates Option Page
• 19. Understanding Iteration History Option Page
• 20. Understanding CI for Exp(B) Option Page
• 21. Including Constant in Model Page
• 22. Understanding Classification Cutoff .5 & Bootstrapping Page
• 23. Output Understanding Case Processing Summary & Dummy Variable Coding Page
• 24. Output Understanding Block 0 vs Other Blocks & Iteration History Page
• 25. Output Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke) Page
• 26. Output Understanding Classification Table (Sensitivity & Specificity) Page
• 27. Output Variables in Equation - Baseline Model Interpretation Page
• 28. Output Hosmer-Lemeshow & Contingency Table for Baseline Model Page
• 29. Output Interpretation of Hosmer-Lemeshow Test for Default Model. Page
• 30. Output Interpreting Variables in Equation for Default Model Page
• 31. Output Interpreting Wald's Test for Default Model Page
• 32. Odd Ratios (in Depth) Part 1 - Fundamentals, Derivation & Calculation Page
• 33. Odd Ratios (in Depth) Part 2 - Calculating Odds of Lung Cancer w Smoking Page
• 34. Interpreting Odd Ratios in Variables in Equation Table Page
• 35. Interpreting Correlation Table and Understanding Multi-collinearity Page
• 36. Classification Plot Interpretation & Application Page
• 37. Interpreting Case-wise Listing of Residuals Output Page
• 38. Interpreting Predicted Probabilities and Group Membership Page
• 39. Interpreting Cook's Distance and DFBeta Page
• 40. Interpreting Omnibus Test Output Page
• 41. Explaining Pseudo R Squares - 2Log Likelihood, Cox & Snell and Negelkerke Page
• 42. Writing Final equation of Logistic Regression Manually Page
• 43. APA Style Presentation of Table and Results Page