Model Answers
Q: What are the uses of Bogardus social distance scale and of Likert scale? Discuss.
Question asked in UPSC Sociology 2010 Paper 1. Download our app for last 20 year question with model answers.
Model Answer:
In sociological research, quantifying qualitative human emotions, attitudes, and prejudices is a major challenge. To overcome this, positivist researchers utilize psychometric scaling techniques. The Bogardus Social Distance Scale and the Likert Scale are two prominent tools used to measure and quantify subjective attitudes, though they differ significantly in their mechanics and specific applications.
Bogardus Social Distance Scale
Developed by Emory S. Bogardus in 1925, this is a cumulative scale (similar to a Guttman scale) designed to measure the degree of psychological and social intimacy people are willing to accept with members of distinct social, racial, or ethnic groups.
Uses of Bogardus Scale in Sociology:
- Measuring Prejudice and Ethnocentrism: It quantifies the level of acceptance or rejection of out-groups. Example: Asking respondents if they would accept a specific immigrant group as a citizen, a neighbor, a friend, or a spouse.
- Studying Caste Dynamics in India: Sociologists have adapted this scale to study inter-caste relations in India, measuring “caste distance” (e.g., willingness to share a meal, fetch water from the same well, or engage in inter-caste marriage).
- Assessing Social Integration & Segregation: It helps policymakers identify fault lines in a society by measuring the social distance between religious communities (e.g., measuring communal harmony or islamophobia).
- Longitudinal Studies of Attitude Shift: By administering the scale across different decades, sociologists can track how social distance toward marginalized groups (e.g., LGBTQ+ community) has reduced over time.
Likert Scale
Developed by Rensis Likert in 1932, this is a summated rating scale. It presents respondents with a series of declarative statements and asks them to indicate their level of agreement, typically on a 5- or 7-point continuum (from “Strongly Agree” to “Strongly Disagree”).
Uses of Likert Scale in Sociology:
- Measuring Intensity of Attitudes: Unlike binary (Yes/No) questions, the Likert scale captures the intensity of feelings regarding complex social issues like feminism, capital punishment, or globalization.
- Macro-Survey Research: It is widely used in large-scale quantitative surveys (e.g., by organizations like the NSSO or Pew Research) because the ordinal data it generates can be easily coded and statistically analyzed using tools like SPSS.
- Political and Economic Sociology: Used to gauge voting behaviors, ideological leanings, or consumer trust in economic institutions.
- Organizational Sociology: Used to measure phenomena such as worker alienation (Marxist perspective), job satisfaction, or institutional commitment in modern bureaucracies.
Critical Discussion & Limitations
While highly useful, both scales face critical scrutiny from interpretivist and phenomenological sociologists:
- Social Desirability Bias: In both scales, respondents may hide their true prejudices and give politically correct answers, skewing the data.
- Context Stripping (Reductionism): Interpretivists argue that reducing complex human emotions into a numerical score (1 to 5) strips away the subjective meaning and context behind the attitude.
- Methodological Flaws: The Bogardus scale assumes a linear progression of intimacy (e.g., assuming if you want someone as a neighbor, you naturally want them as a citizen), which may not hold true across all cultures. The Likert scale often suffers from the Central Tendency Bias, where respondents repeatedly choose the “Neutral” option to avoid cognitive effort.
Conclusion
Despite these limitations, the Bogardus and Likert scales remain indispensable tools in the sociological toolkit. In contemporary research, sociologists often employ a mixed-methods approach (Triangulation), using these quantitative scales to identify macro-trends, followed by qualitative interviews to understand the deeper meanings behind those trends.
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