How to describe a design with a mix of experimental conditions, predictor variables, and multiple outcome variables? My research design is as follows:
I have these Between Subjects IVs:


*

*Experiment Condition - 5 levels

*Facebook User status - 2 levels (yes/no)
My supervisor also wants me to see if there are significant effects of:


*

*Gender - 2 levels

*Relationship Status - 2 levels

*Relationship Satisfaction - 2 levels
And these within subjects IVs:


*

*Mood at Time 1

*Mood at Time 2
I also have three DVs


*

*Attraction level

*Frequency of Thought

*Mood State
I am looking at the effect of a certain condition on Facebook users, vs non Facebook users. Within this I want to look at whether there are differences between the genders; whether there is a difference between people in a relationship vs. not in a relationship and the effect of relationship satisfaction. It's a big study, but I'm not sure about how to describe the design.
Question


*

*How should I describe the design of this study?


Initial thoughts
I'm thinking it has to be a MANOVA design, however what I am finding confusing are the various IVs.
Is it a 2 x 5 Factorial MANOVA? I'm just so confused with all the IVs flying around.
 A: *

*There is a difference between the design and a statistical test. Your design presumably incorporates random assignment of participants to one of five conditions, actively sampling (perhaps an even number?) of facebook and non-facebook users, and to some extent the study of time.

*You might describe your design as a 5 by 2 by 2 mixed design (in the case of mood) with condition (5 levels) and facebook status (2 levels) as between subjects factors and time (2 levels) as a within subjects factor; and a 5 by 2 factorial design for the dependent variables only measured at time 2.

*Any description of your design should make it clear which between subjects factors were achieved through random allocation.

*In terms of statistical analyses, you may choose to run ANOVAs or MANOVAs and it sounds like you are interested in covariates (i.e., gender, relationship status, relationship satisfaction). I label these covariates because they were not part of either random allocation or the process of sampling participants.

