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What is the difference between science and social science?

Published in Science vs Social Science 2 mins read

Science and social science are distinct but related fields of study, differing primarily in their subject matter and methods. Science investigates the physical and natural world, while social science examines human behavior within various settings.

Key Differences Between Science and Social Science

The fundamental distinction lies in their focus:

  • Science: Deals with the natural world, exploring phenomena that can be observed, measured, and tested through experiments.
  • Social Science: Focuses on human society and social interactions, examining behaviors, relationships, and institutions.

A more detailed breakdown can be viewed in the following table:

Feature Science Social Science
Subject Matter Physical and natural world Human behavior in social settings
Methodology Experiments, observation, and measurement Surveys, interviews, observations, and statistical analysis of social data
Data Accuracy Generally higher, due to controlled experimental conditions Can be lower due to the complexity of human behavior and social factors
Examples Physics, chemistry, biology, astronomy Psychology, sociology, economics, political science, anthropology

Data Accuracy and Validity

According to provided reference, the accuracy and validity of data are very high in science compared to social sciences. This difference stems from the nature of the subjects studied. In science, experiments can be carefully controlled to isolate variables and obtain precise measurements. In social science, controlling all variables that influence human behavior is often impossible, leading to less precise and potentially more subjective data.

Examples to Illustrate the Difference

  • Science Example: Studying the chemical reaction between two substances in a laboratory. Scientists can control temperature, pressure, and other variables to ensure accurate results.
  • Social Science Example: Conducting a survey to understand voting patterns. Researchers can collect data, but they cannot control all the factors that influence a person's decision to vote.