In my g power ap which linear multiple reg should I tick? One says R squared deviation from zero and the other says R squared increase. I'll be doing a Hierarchical multiple regression analysis with a health beliefs questionnaire as my dependent variable and I'll have several independant variables (categorical and continuous) such as sex, education level, and the response to several different questions, and scores on a characteristics scale.
The first option is for the overall R^2 for a single model (power to detect whether R^2 is different from zero for a given regression model). The second option is for the comparison of two models--is there enough power to detect whether the R^2 change/increase (when you add more predictors to a model) is non-zero? Both of these may be relevant to you.
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