Good Morning,

I have a small doubt regarding how to deal with analysis of usage's predictors

I am applying the decomposed theory of planned behaviour to gain a deeper understanding of factors influencing the adoption/usage of mobile recruitment.

I have 3 items for Usership, where Usership1 is related to the actual usage (Have you ever used mobile recruitment apps? Yes0/No1) while Usership2 and Usership3 are scale ranging from 1 to 10 referring to intensity of usage and recency of usage. 

The predictor of Usership, is Intention which is represented by 3 items (Intention1,Intention2 and Intention3). 

So my questions are:

  • Should I run a binary logistic regression where my dependent variable is Usership1 and my independent variables are Intention1/2/3? If yes should I consider Intetion items items as categorial covariates? (see the screenshots attached logistic1 and logistic2)
  • How to analyse Usership2 and Usership3? Should I run 2 separate regression analysis with Intention1/2/3 as independent variables? Or should I use the mean of Intention1/2/3 as independent variable
  • I hope my explanation is clear

    Thanks in advance

    Raffaele

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