Quantitative Research Methodology

Vrije Universiteit Amsterdam

Course Description

  • Course Name

    Quantitative Research Methodology

  • Host University

    Vrije Universiteit Amsterdam

  • Location

    Amsterdam, The Netherlands

  • Area of Study

    Research Methodology

  • Language Level

    Taught In English

  • Course Level Recommendations

    Upper

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • ECTS Credits

    6
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • Overview

    COURSE OBJECTIVE
    After completion of this course, the student is able to:
    • identify pros and cons of experimental and observational designs in terms of internal and external validity;
    • causal models: recognize spurious relations, mediation and moderation;
    • interpreting results in terms of underlying causal models: spurious relations, mediation and moderation;
    • constructing a scale and as part of scale construction apply reliability analysis in SPSS, interpret the results and report on it;
    • apply analysis of variance and linear regression analysis in SPSS; interpret the results and report on them.

    COURSE CONTENT
    This course teaches the theory and practice of quantitative research methods frequently used within communication science. The student learns the logic and purpose of experimental and observational research designs, as well as the advantages and disadvantages in terms of
    internal and external validity. Within the context of causal modelling, spurious relations, mediation and moderation will be discussed and results of analyses will be related to these causal models. Reliability is applied in order to learn how to construct a reliable scale. Building upon the first year’s course Descriptive and Inferential Statistics, multivariate data analysis techniques will be introduced, focusing on analysis of variance and linear regression analysis. All mentioned techniques are applied using SPSS.

    TEACHING METHODS
    lectures, workshops and practicals

    TYPE OF ASSESSMENT
    exam and intermediate tests

    ENTRY REQUIREMENTS
    Descriptive and Inferential Statistics

Course Disclaimer

Courses and course hours of instruction are subject to change.

Some courses may require additional fees.

X

This site uses cookies to store information on your computer. Some are essential to make our site work; others help us improve the user experience. By using the site, you consent to the placement of these cookies.

Read our Privacy Policy to learn more.

Confirm