Post-positivism as a research paradigm

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Post-positivism is a research paradigm that emerged as a response to the limitations of positivism, a philosophy that emphasizes objectivity, empirical observation, and the belief that there is an objective reality that can be discovered through scientific inquiry. Post-positivism acknowledges the value of scientific methods but recognizes that complete objectivity and absolute truth are difficult, if not impossible, to attain in many areas of research.

Unlike positivism, which seeks to establish absolute certainty and universal laws, post-positivism acknowledges the uncertainty and fallibility of human knowledge. Researchers operating within this paradigm accept that their theories and findings are always subject to revision and refinement.

What is post-positivism in non-academic terms?

In non-academic terms, post-positivism is a way of thinking that recognizes that when we try to understand the world and gather knowledge, it’s not always possible to be completely objective and certain. It acknowledges that our personal beliefs, experiences, and the context in which we live can influence how we see and understand things. So, instead of searching for absolute truths like in traditional science, post-positivism accepts that there are different perspectives and that our understanding of the world can change as we learn more.

Imagine you and a friend are trying to figure out what’s causing a mysterious noise coming from your car. You have a post-positivist approach to solving this problem.
In non-academic terms, post-positivism means you both understand that you might not find the one absolute reason for the noise. You recognize that your previous experiences with cars, your personal biases (like thinking it’s just a minor issue), and even the tools you have on hand can affect your conclusions.

So, you decide to take a more open-minded and flexible approach. You’ll try different methods to diagnose the problem, like checking under the hood and asking others for advice. You’ll also be aware of your assumptions and consider that there might be multiple reasons for the noise, not just one.

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For example, when you inspect the car, you find that a loose screw on the exhaust system is causing the noise. But you also discover a worn-out belt, which could have been another reason for the noise. In a post-positivist mindset, you acknowledge that there could have been multiple factors contributing to the issue, and you’re open to adjusting your understanding based on new information.

Advantages and disadvantages of post-positivism

Advantages:

Flexibility: Post-positivism allows for a more flexible and adaptable approach to research. Researchers can employ various methods and consider multiple perspectives to gain a deeper understanding of complex phenomena.

Critical thinking: It encourages critical thinking and self-awareness among researchers. They are more likely to question assumptions, biases, and the limitations of their methods, leading to more robust and reflective research.

Contextual understanding: Post-positivism emphasizes the importance of considering the social, cultural, and historical context in research, which can lead to a richer and more nuanced understanding of phenomena.

Ethical considerations: Researchers operating within this paradigm often pay greater attention to the ethical implications of their work, promoting responsible research practices.

Disadvantages:

Complexity: Post-positivist research can be complex and time-consuming due to the consideration of multiple perspectives and the use of diverse research methods. This complexity can sometimes make research findings less accessible to a wider audience.

Lack of objectivity: Critics argue that post-positivism’s acceptance of the subjectivity of researchers can lead to a lack of objectivity and reliability in research outcomes. They contend that this can make it difficult to trust the findings.

Difficulty in generalization: The emphasis on context and the rejection of universal truths can make it challenging to generalize findings to broader populations or settings.

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