Wie funktioniert schrittweise Regression in SPSS? (Aufnahme+Ausschluss)-Daten analysieren SPSS(15)

// Stepwise Regression in SPSS (Inclusion and Exclusion) // Stepwise regression starts with an empty model and includes the independent variable that has the highest correlation with the dependent variable in terms of magnitude. If it is also significant, it remains in the model. After each addition of another independent variable (criterion: highest remaining partial correlation), the significance values ​​of the previously included variables are checked. If the significance value is again above a threshold (alpha usually 0.05), the independent variable is excluded again. At the end, all selected variables have been tested for their influence, and you get a model with only those independent variables that have a significant influence on the dependent variable. The problem with stepwise regression, but also with backward elimination and forward selection, is the exploratory nature of the method. You "feed" the regression model with as much data as possible and let it run its calculations, ultimately yielding significant predictor variables. The problem, however, is that a theoretical and conceptual approach is necessary, especially in the humanities and social sciences. This requires first formulating causal relationships (hypotheses) based on theories, which are then tested. Simply put: I have to clearly disclose in advance which variables could have an influence and then test them. Variables for which I cannot derive an influence will not even be considered for inclusion. For questions or suggestions regarding stepwise regression in SPSS, please use the comments function. You can indicate whether you found the video helpful by giving it a thumbs up or down. #statistikampc ⭐Become a channel member⭐: =======================    / @statistikampc_bjoernwalther   Support the channel? 🙌 ==================== Paypal donation: https://www.paypal.com/paypalme/Bjoer... Amazon affiliate link: https://amzn.to/2iBFeG9 Thank you for your support! ♥ My homepage 💡 ================== https://www.bjoernwalther.com