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  2. 5.6.2 Model Response

5.6.2 Model Response

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Notes

    Prompt: To what extent are the methods of the natural sciences applicable in the human sciences?

    Introduction

    1. The natural sciences and human sciences both aim to explain and predict phenomena, but their methods often differ due to the nature of their subject matter.
    2. While the natural sciences rely heavily on empirical observation , experimentation , and quantitative analysis , the human sciences often incorporate qualitative methods and interpretive approaches to understand complex human behaviours.

    Note

    This essay explores the extent to which the methods of the natural sciences are applicable in the human sciences, considering the strengths and limitations of each approach and the implications for knowledge production.

    Body

    Similarities and Differences in Methods

    1. Both the natural and human sciences share a commitment to systematic inquiry and the use of evidence to support claims.
    2. In the natural sciences , controlled experiments and replication are central to establishing causal relationships.
    3. For example, in physics , the laws of motion are derived from repeatable experiments that isolate variables to determine cause and effect.

    Example

    In the human sciences, such as psychology, experiments like the Stanford Prison Experiment attempted to apply similar methods to study human behaviour. The experiment demonstrated the power of situational factors in shaping behaviour, but it also highlighted ethical and practical challenges unique to studying humans.

    1. Unlike inanimate objects , humans possess consciousness , free will , and cultural backgrounds that influence their actions.
    2. These factors introduce variables that are difficult to control, making replication and generalisation more challenging in the human sciences.

    The Role of Quantitative and Qualitative Methods

    1. The natural sciences predominantly use quantitative methods , such as statistical analysis and mathematical modelling , to ensure objectivity and precision.
    2. These methods have been adopted in the human sciences to some extent.
    3. For example, economists use regression analysis to identify correlations between variables like income and education.

    Note

    A common mistake is to assume that correlation implies causation. In the human sciences, variables are often interdependent, and establishing causality is more complex than in the natural sciences.

    1. However, qualitative methods are equally important in the human sciences.
    2. Ethnographic studies in anthropology , for instance, rely on participant observation and interviews to capture the nuances of human culture.
    3. These methods provide rich, contextual insights that are often missing in quantitative analyses.

    Example

    Margaret Mead's research on Samoan adolescents challenged Western assumptions about human development by highlighting the role of culture in shaping behaviour. Her work demonstrated the value of qualitative methods in uncovering perspectives that might be overlooked by purely quantitative approaches.

    Challenges of Objectivity and Bias

    1. The natural sciences strive for objectivity through standardised procedures and peer review.
    2. In contrast, the human sciences face greater challenges in eliminating bias.
    3. Researchers' personal beliefs , cultural backgrounds , and ethical considerations can influence the design and interpretation of studies.
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