✕

Search results

    Support

    To filter, select one or more categories | All Courses

    For Postgraduate Students >

    Quantitative Research Methodologies 1 (QRM1)

    English | 8 weeks

    Facilitated
    Login to apply

    Kickstart Your Journey into Quantitative Research

    Perfect for:

    Students and postgraduate students who want to develop foundational skills in quantitative research, data analysis, and descriptive statistics.

    What You’ll Learn:

    Over eight weeks, you’ll gain the essential skills to:

    • Formulate research questions and hypotheses with confidence
    • Operationalise phenomena of interest and apply appropriate measurement systems
    • Collect and manage quantitative data using Excel
    • Create simple graphs and visualisations
    • Apply statistical concepts including measures of central tendency, variation, and correlation
    • Differentiate between correlation and causation

    Hands-On Learning:

    This course is highly interactive and applies self-directed online learning via Moodle with assignments and quizzes; eight live Zoom sessions for Q&A and guided practice and real-world exercises to build confidence in descriptive data analysis.

    Course Format:

    Weekly live Zoom sessions to help you connect, ask questions, and deepen your understanding

    70 notional hours with 5 hours of self-directed learning hours per week.

    Live Zoom sessions:

    One one-hour session per week for eight weeks.

    Target group:

    Post-graduate students

    Learning Outcomes:

    • Design a basic quantitative research programme independently
    • Differentiate between types of hypotheses and research designs
    • Apply levels of measurement to operationalise research variables
    • Analyse data using descriptive statistics (mean, median, mode, variance, standard deviation)
    • Explore bivariate relationships with scatter plots and crosstabs
    • Understand and explain the difference between correlation and causality

    Requirements:

    • Access to Microsoft Word, Excel, and a PDF reader
    • Reliable internet connection for Moodle and Zoom sessions
    • Commitment to complete assignments, participate actively, and meet deadlines
    • Attendance of at least 5 out of 8 Zoom sessions, plus achieving a minimum of 70% across all activities to receive certification
    Back to all courses

    Open Access License: CC-BY-SA

    Rights of Use of the DIGI-FACE Generic Modules

    ×

    Quantitative Research Methodologies 1 (QRM1)





      DIGI-FACE – Digital Initative for African Centres of Excellence represented by:

      University of Applied Sciences Kehl
      Kehl Institute of Applied Research (KIAF)
      Projects International Cooperation and Development

      Kinzigallee 1, D- 77694 Kehl
      +49 7851 894143
      https://www.hs-kehl.de/

      Contact: digiface[at]hs-kehl.de

      Developed by Viewport / WordPress Guys

      You may choose to prevent this website from aggregating and analyzing the actions you take here. Doing so will protect your privacy, but will also prevent the owner from learning from your actions and creating a better experience for you and other users.

      ×

      Not sure which status you have? Have a look at the list below to identify the right role for your profile.

      1. Student
        • A student is currently enrolled in a study programme at one of the universities which is participating at DIGI-FACE (African Centres of Excellence and its network).
      2. Staff
        • Staff is everybody who works in the frame of a university which is participating at DIGI-FACE (African Centres of Excellence and its network) [(i.e. as coordinator, financial/administrative support, IT-support, learning designer, administrator etc.). If you are working for DAAD or DIGI-FACE you are also staff.
      3. Alumni
        • An Alumni is a former student in a study programme at one of the universities which is participating at DIGI-FACE (African Centres of Excellence and its network). In many cases, part of one of the centres’ alumni associations.
      4. Lecturer
        • A Lecturer performs teaching and pedagogic work at one of the universities which is participating at DIGI-FACE (African Centres of Excellence and its network)
      5. Researcher
        • A researcher is an individual who is engaged in conducting research at one of the universities which is participating in DIGI-FACE (African Centres of Excellence, Global Centres and its networks). Researchers contribute to academic knowledge through studies, experiments, and publications in various fields of expertise.