Operationalization of Variables in Quantitative Research 📄🔍

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  • Опубликовано: 15 июл 2024
  • Have you encountered the term Operationalization in the realm of empirical social research during a lecture or while reading a methods book?
    Maybe you’ve been assigned the task of operationalizing one or more variables for an assignment or research project?
    But you just don’t know what on earth all these people are talking about?
    The issue lies in the fact that many university instructors are so well-acquainted with this term that they often struggle to empathize with beginners.
    They use terms like variables, concepts, constructs, and operationalization without offering the fundamental knowledge that someone new to this type of work requires to understand how these things are interconnected.
    In this article, my goal is to clarify these terms and elucidate, in the most straightforward language, how they are related. We will also explore what operationalization entails and how you can put it into practice with regard to variables in your own study.
    📚 Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). SAGE Publications.
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    🤓 read the blog article related to this video:
    ► shribe.eu/operationalization-o...
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    00:00 Intro
    00:33 Operationalization in Quantitative Research
    02:13 #1Theoretical Building Blocks
    02:39 #2 Concepts and Constructs
    03:46 #3 Operationalizing Variables
    05:35 #4 Measurement Instruments
    07:50 #5 Theoretical Assumptions (Hypotheses/Propositions)
    09:30 Conclusion and Further Reading
    In the realm of empirical social research, one of the fundamental distinctions lies between the qualitative and quantitative research paradigms.
    This division finds its origins in the philosophical underpinnings of the social science, which I’ve explored in-depth in my article on Ontology, Epistemology, and Methodology.
    Operationalization is an important task within the realm of quantitative social research.
    The quantiative paradigm is characterized by its goal of testing theoretical assumptions, mostly through the use of statistical methods.
    The bedrock of these statistical methods is grounded in quantitative empirical data, such as survey responses or the outcomes of experiments, or digital trace data.
    This video is about:
    operationalizing variables in research, constructs, concepts, conceptualization, quantitative research, social science research
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Комментарии • 1

  • @masteryourstudies
    @masteryourstudies  6 месяцев назад

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