Summary: Brt Slides

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Read the summary and the most important questions on BRT Slides

  • Setting the scene

    This is a preview. There are 15 more flashcards available for chapter 21/11/2019
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  • Why should future managers know about business research?

    - To be able to perform business research.
    - To be able to steer business research.
    - To be able to evaluate business research.
  • The research process

    This is a preview. There are 24 more flashcards available for chapter 22/11/2019
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  • What makes a good business problem?

    - Feasibility, is it doable?
    - Relevance, is it worthwhile?
  • Theoretical framework consist of

    - Variable definitions:
                - Define all variables.
                - Motivate why these variables are important to include.
    - Conceptual model - graphical representation:
                - Cover all variables and relationships.
    - Hypotheses - relationships between variables:
                - Provide a logical justification/backing.
                - Based on theory.
  • How to build a conceptual model?

    - Variables are building blocks: Dependent variables, Independent variables, Mediating variables, Moderating variables.
    - Relationships are arrows: Main effect, Direct/Indirect effect, Moderating effect.
  • Causal and correlational research

    This is a preview. There are 9 more flashcards available for chapter 23/11/2019
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  • Critical research design questions

    - Choosing between (deductive) research strategies.
    - Choosing between statistical techniques.
    - Choosing between sampling designs.
  • Two types of deductive research

    - Causal research
    - Correlational research
  • Can causal claims never be made in a correlational setting?

    To establish causality, randomized experiments are the gold standard. But econometric methods that allow making causal claims in a correlational setting.
  • Statistical techniques and sampling design

    This is a preview. There are 32 more flashcards available for chapter 24/11/2019
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  • Low representativeness of a sample

    - Properties of the population are over- or underrepresented in the sample.
    - High sampling error.
  • Solutions for coverage errors

    - If small, recognize but ignore.
    - If large, redefine the population in terms of the sampling frame.
  • Survey research

    This is a preview. There are 34 more flashcards available for chapter 25/11/2019
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  • When to use survey research?

    - When you want to say something about a population, but you cannot measure the whole population (very often).
    - When you are interested in quantitative descriptors.
    - Personal measures:
       - subjective measures
       - observation not possible/feasible

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