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Alright, so how does this whole positivism thing actually work in the context of research? Well, it's all about adopting a specific set of **_positivist research methods_**. These methods are all designed to minimize bias and subjectivity and to ensure that the research findings are reliable and generalizable. Let's explore the key techniques that are used in **_positivist research_**. You'll find that positivist researchers often lean heavily on quantitative methods. This means they're all about numbers, statistics, and measurable data. Surveys, experiments, and statistical analysis are common tools of the trade. The focus is always on collecting objective data that can be analyzed to reveal patterns and relationships. A good example is a controlled experiment where you're looking at the effects of a certain medicine. This study involves a treatment group and a control group. Researchers measure and compare outcomes using quantitative data. They use this data to determine the medicine's effectiveness. When using these approaches, researchers create **_objective measurements_** for their studies to avoid subjectivity.
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