Hi team. I will be studying the non-causational relationship between coping and posttraumatic growth in bereavement where:
  • Coping is a single +/- oscillation score that measures loss- and restoration-orientation coping (between 33 and -33)
  • Posttraumatic growth is captured by five factor scores (of self-perception, changed relationships, new possibilities, appreciation for life, spiritual changes)

Additionally, I would like to explore 2 demographic variables:
  • Gender (male and female)
  • Nature of loss (expected and unexpected)

Is this best explored with a Multiple Linear Regression where:
  • The five factors of posttraumatic growth are independent variables
  • The single oscillation score is the dependent variable
  • Demographic variables are entered as dummy variables/covariates


Is this best explored by hierarchical multiple linear regression?

I'm happy to include whatever contextual information that is needed. I'm a little over my head here. Thanks.