Business case for Natcen

1. Nature of research
   
   1. Interviewer error - variance and bias
      
   2. Problems with estimating interviewer variance
      
   3. Different models to estimate interviewers variance
      
      1. HHB
         
      2. Kish
         
      3. Multilevel (Colm, Hox, Schnell)
         
   4. Interpenetrated design
      
   5. Cross-classified model
      
   6. Complex variance 1 model
      
2. Dataset - NTS because
   
   1. Rolling design
      
   2. Natcen information on Interviewers
      
   3. Potential variables: different formats of questions
      
   4. Census data (?) SOAs
      
3. Research questions
   
   1. There is no work that looks at different interviewer's variability depending on interviewer's characteristics e.g. Do female interviewers get more variability than male interviewers? This sort of questions could potentially be answered by complex variance component models.
      
4. Requested variables
   
   1. NTS questionnaire (including respondent characteristics)
      
   2. NatCen Interviewers
      
   3. Geographical reference