I am attempting to predict levels of body dissatisfaction from a number of independent variables.
The dependant variable is Body dissatisfaction = overall score on a body dissatisfaction scale.
The independent variables (predictors):
Self esteem levels = overall score on Rosenberg Self Esteem Scale
Drive for muscularity levels = overall score on Drive for Muscularity scale
Current involvement in sport and exercise = yes/no answer
Previous involvement in sport and exercise = yes/no answer
Masculine gender role identification = overall score on Bem Sex Role Inventory scale
Fitness magazine exposure = amount of fitness magazines read + time spent reading these magazines.
Perfectionism levels = overall score on frost multidimensional perfectionism scale.
Levels of appearance conversations regarding muscularity = overall score on Male Body talk scale.
So basically I need to know:
Can I do multiple regression when I have different IV's with different levels of measurement? If not, what other type of test could I use?
Do I need to transform the nominal variables (current and previous sport and exercise involvement) in dummy variables even though there is only two possible answers (yes = 1, no = 2)?
Can the overall score of scale items be considered interval data? If not, how can I alter it e.g. Rasch modelling
I can provide more information as needed, thanks for any help in advance!