Survey research and design in psychology/Tutorials/Multiple linear regression/General steps

Multiple linear regression tutorial - General steps

General steps View the accompanying screencast: [1] The general recommended steps for conducting a multiple linear regression analysis are: Conceptualise the model (e.g., draw a path diagram or Venn diagram to indicate the IVs and the DV) and establish research questions and/or hypotheses. Check assumptions: Levels of measurement Sample size Normality Linearity Homoscedasticity Multicollinearity Multivariate outliers Normality of residuals Choose the type of MLR: Standard Hierarchical Stepwise / Forward / Backward Interpret statistical output and psychological meaning of results. Consider: Overall model R, R2, Adjusted R2, sig. of R Change in R2 and the sig. of this change (if a hierarchical MLR is conducted) Regression coefficients Y-intercept (labelled "Constant" in the SPSS MLR Coefficients table output) Unstandardised (B) Standardised (β (beta)) t and significance for each predictor Zero-order correlations (r) and semi-partial correlations squared (sr2) for each IV in each model Depict the relationships in a path diagram or Venn diagram (if useful/relevant) Regression equation: Present a prediction equation for Y (if useful/relevant)