For this question, The dataset includes ( 12 Questions from Q1 to Q12), age, gender, ES, Frequency) as variable. Total 16 columns. I can't upload the excel files to here.

I want to know Which approaches should be used to solve this question? Exploratory Factor Analysis or Confirmatory Factor Analysis. This Question 7 has several part need to answer. please provide a detail step by step guide on how to answer this question in R. Thank You!

Question 7 70 pts Please use the following scenario and R to answer the application questions. We assume all the assumptions are met. In a current study, we try to dene the idea of smartphone addiction and smartphone usage and how these ideas differ in terms of gender, economic status and how often an individual uses a smartphone. A survey is developed, which includes 12 questions. First, nd out what smartphone addiction and smartphone usage are, how the two-factor model looks like? Make sure you include all the variables. (smartphone addiction and smartphone usage are independent, and we already know that smartphone addiction can explain more variance) Write a summary to report your ndings with table and model.) Second, test your nal model to conrm it is a good model. Write a summary to report your ndings. What is the difference between gender (male: 1, Female: 2), after controlling for age, in terms of their smartphone usage? Perform an appropriate test and write a summary. If we would like to use smartphone addiction and smartphone usage, to predict how often an individual uses a smartphone (Frequency: on average, how many hours do you use your phone every day), what should we do? Perform an appropriate test and write a summary. Application Data 33