Study material generic cover image

Summary BRT Slides

- BRT Slides
- -
- 2019 - 2020
- Tilburg University (Tilburg University, Tilburg)
- Information Management
256 Flashcards & Notes
Scroll down to see the PDF preview!
  • This summary
  • +380.000 other summaries
  • A unique study tool
  • A rehearsal system for this summary
  • Studycoaching with videos
Remember faster, study better. Scientifically proven.
Trustpilot Logo

A snapshot of the summary - BRT Slides

  • Setting the scene

  • 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

  • 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

  • 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

  • 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

  • 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
Read the full summary
This summary. +380.000 other summaries. A unique study tool. A rehearsal system for this summary. Studycoaching with videos.