Summary: Quantitative Research Methods

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Read the summary and the most important questions on Quantitative Research Methods

  • 1 Week 1

  • 1.1 Lecture 1

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  • What is the difference between descriptive and inferential research?

    What questions,
    • Interested in a quantitative answer:
    ‘How many students are enrolled in the premaster?’ Which program has the most students?

    • Interested in a numerical change:
    ‘Are the numbers of premaster students in our university rising compared to last year?

    Why questions,

    • Test relationships:
    ‘What is the relation between studentsself-esteem and their average grade in the premaster?’

    • Explain something:
    ‘What factors cause changes in student performance over time?
  • Why do we need quantitative research?

    • Provides us with a toolbox to study the world by the use of the scientific method
    • Helps minimising cognitive assumptions (bias) that may distort our interpretation
    • The state of prior research and/or topic may 'force' you to use quantitative methods
    • Only way to establish causal relationships
  • When do we need quantitative research?

    When the state of prior theory and research is mature, or if it is intermediate, a hybrid form between quant and quali is advised.
  • What is the simpson's paradox?

    Simpson’s paradox refers to a phenomena whereby the association between a pair of variables (X, Y) reverses sign upon conditioning of a third variable, Zregardless of the value taken by Z.
  • 1.2 The Effect - Chapter 1 - Designing Research

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  • What is quantitative empirical research?

    Empirical research that uses quantitative measurements (numbers, usually). More data sets, fewer interviews.
  • 2 Week 2

  • 2.2 The Effect - Chapter 2 - Research Questions

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  • 2.1 What is a research question?What does it mean to have a question that can be answered?

    That there is evidence in the world that, if found, would answer your question in a believable way.
    It is not ambiguous, e.g. 'best movie'
  • What does it mean to improve our understanding of how the world works?

    It should tell you about something broader than the question itself, inform theory in some way.
  • 2.2 Why start with a question?What is the difference between data mining and conducting research with a research question?

    Data mining seeks patterns in the data, where quantitative research starts with a question and then dives into data to find answers.
  • What are advantages of research through data mining?

    Finding patterns and making predictions under stability (where the process does not change)
  • What are the kinds of things that research through data mining is less good at?

    Improving our understanding i.e. Helping improve theory, and it has a tendency to find false positives
    (Sometimes seeing patterns in data can give us ideas for research questions)

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