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Week 2 - Coggle Diagram

- - - - These are used to establish associations and reccoment to manager (eg. RQ1)
    - - To establish importance of variables or segments and to recommend to manager (eg RQ3)
- - - - What criteria should customers use when selecting department stores
      - How do households evaluate Walmart (and competitors) in terms of these criteria
      - Specific Product Categories: Does walmart hold a competitive advantage for certain product categories?
      - Demographic and psychographic profiles: what does thhe demographic and psychographic profile of walmart customers? does it differ from customers of competing stores?
      - How do we formulate MRP components?
        
        Secondary data analysis
        
        Think about different elements of the business on which the customer attitude / behaviour is based on (eg. services, product)
        
        Think about how customers attitudes could vary across different group of customers (eg. customer segments) (demographic and psychographic)
        
        Useful tip: Think of each MRP component is an aspect that affects the MRP outcome. This could be driven from theory or the business context
- - - - RQ1. Is there an association between customers perception of computer quality and their overall satisfaction with the brand?
      - RQ2 - is there an association between customers perception of computers price and their overall satisfaction with the brand
      - RQ3. Does customers overall satisfaction with HP differ between those who perceive customer service to be fas and those who perceive service to be slow.
- - - - Can be devided into descriptive and causal
        
        Descriptive are basically describing relationships. Generally conducted through surveys, panels
        
        Cross sectional collects data from a set of people at just one instance of time
        
        Longitudinal collects information from the same set of people over an extended period of time
        
        Causal is for a very specific type of conclusive design where cause and effect is investigated. Often done by conducting experiments by manipulating variables.
    - - Exploratory is used In order to formulate a problem or get preliminary insights
      - Descriptive is in order to understand specific relations and to make specific predictions
      - Causal is to understand cause and effect