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Basics of quantitative research

This video provides an in-depth exploration of quantitative research methods in business studies. Quantitative research involves working with numerical data to draw conclusions and make statistical inferences. The process involves three key questions: where the numbers come from, how to analyze the data, and what conclusions can be drawn from the results. Four levels of claims can be made using statistical data: description, prediction, causal inference, and causal explanation. Each level offers different insights and implications for research and practice. The video emphasizes the importance of understanding the distinction between correlation and causation, particularly when interpreting research findings. To demonstrate causality, researchers must show association between variables, temporal precedence, and elimination of rival explanations. The video also discusses four main research designs in quantitative studies: experiments, surveys, field research, and archival records. Each design has its own strengths and weaknesses, and researchers must choose the appropriate method based on their research questions and practical constraints. Additionally, the importance of measurement and sampling in quantitative research is highlighted, as these factors significantly impact the quality and validity of the data collected. Link to the slides: https://osf.io/9agpn