Hi
I am currently doing a research on service quality on customer satisfaction and loyalty . I am currently on the planning and analysis results using SPSS but I am a little confused with regards to regression analysis . What would be the best steps to follow to present data ( see file attached) to show Regression analysis of relationship between service quality and customer
satisfaction.
When I am on SPSS I am not too sure where to put control variables as linear regression option only has option for dependent/independent variables . I am not too sure what model 1/2 means
Thanks in advance
you can use the structural équation modeling to estimate the partial régression between latent variables like service quality customer satisfaction and loyalty better than simple regression.
Hello Martin,
The simple answer is, model 1 includes just the so-called control variables as IVs (independent variables). Model 2 adds the target IVs to that set.
The extent to which model 2 (and therefore the target IVs) substantively add to the explanatory power of model 1 (just the control variables) may be determined by the difference in R-squared (proportion of variance in the DV that is explained/accounted for by differences in the IVs for a model) between model 2 and model 1. A "big" difference would suggest that the target IVs help to explain differences in the DV above and beyond what the control variables are able to explain/account for.
This approach is sometimes called hierarchical regression.
Good luck with your work.
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