UPSC MainsPSYCHOLOGY-PAPER-I201212 Marks150 Words
Q2.

Discuss the criteria of question-writing in a survey research.

How to Approach

This question requires a detailed understanding of survey research methodology. The answer should focus on the characteristics of well-written survey questions, categorized for clarity. Structure the answer by first defining survey research and question writing, then outlining the criteria (clarity, simplicity, avoiding bias, etc.) with examples. Briefly touch upon pre-testing and pilot studies. A concise and focused response is key, adhering to the word limit.

Model Answer

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Introduction

Survey research is a widely used quantitative research method involving the collection of data from a sample of individuals through questionnaires or interviews. The quality of data obtained heavily relies on the quality of the questions asked. Effective question writing is therefore paramount to ensuring the validity and reliability of survey findings. Well-constructed questions minimize ambiguity, reduce respondent error, and maximize the accuracy of the information gathered, ultimately leading to meaningful insights. This response will discuss the key criteria for crafting effective survey questions.

Criteria of Question-Writing in Survey Research

Developing effective survey questions requires careful consideration of several criteria. These can be broadly categorized into aspects related to clarity, content, and response options.

1. Clarity and Simplicity

  • Use Simple Language: Questions should be phrased using language easily understood by the target population. Avoid jargon, technical terms, and complex sentence structures. For example, instead of asking "What is your socio-economic status?", ask "What is your household's total income before taxes?".
  • Single Focus: Each question should address only one issue. Avoid ‘double-barreled’ questions that combine two separate inquiries into one. For instance, instead of "Do you find our products affordable and reliable?", ask "Do you find our products affordable?" and "Do you find our products reliable?" as separate questions.
  • Brevity: Keep questions concise and to the point. Longer questions can be confusing and reduce response rates.

2. Avoiding Bias

  • Leading Questions: Avoid phrasing questions in a way that suggests a desired answer. For example, instead of "Don't you agree that climate change is a serious threat?", ask "How serious do you think climate change is?".
  • Loaded Questions: Avoid questions containing emotionally charged words or assumptions. For example, instead of "Do you support the wasteful spending on this project?", ask "What is your opinion on the funding allocated to this project?".
  • Social Desirability Bias: Be mindful of questions that might encourage respondents to provide answers they believe are socially acceptable rather than truthful. Anonymity and confidentiality assurances can help mitigate this.

3. Response Options

  • Exhaustive and Mutually Exclusive: Response options should cover all possible answers (exhaustive) and respondents should be able to choose only one option (mutually exclusive). For example, when asking about age, provide appropriate age ranges that cover the entire population and do not overlap.
  • Balanced Scales: When using rating scales (e.g., Likert scales), ensure they are balanced with an equal number of positive and negative options.
  • Avoid ‘Don’t Know’/‘Not Applicable’ Options: While sometimes necessary, overuse can indicate poorly designed questions. Consider rephrasing the question if many respondents choose these options.

4. Question Format

  • Open-ended vs. Closed-ended: Choose the appropriate format based on the research objectives. Open-ended questions allow for detailed responses but are harder to analyze, while closed-ended questions are easier to quantify but may limit the depth of information.
  • Pilot Testing: Before deploying the survey, conduct a pilot test with a small group to identify any ambiguities or issues with the questions.

Furthermore, the order of questions matters. Start with easy, non-threatening questions to build rapport before moving to more sensitive or complex topics. Consider using filter questions to direct respondents to relevant sections based on their previous answers.

Conclusion

In conclusion, crafting effective survey questions is a critical component of successful survey research. Adhering to criteria such as clarity, simplicity, and avoiding bias ensures the collection of accurate and reliable data. Pre-testing and pilot studies are essential steps in refining questions and maximizing the validity of survey findings. Continuous improvement in question-writing techniques is vital for advancing the quality of social science research and informed decision-making.

Answer Length

This is a comprehensive model answer for learning purposes and may exceed the word limit. In the exam, always adhere to the prescribed word count.

Additional Resources

Key Definitions

Reliability
The consistency of a measure. A reliable survey question produces similar results under consistent conditions.
Validity
The extent to which a measure accurately reflects the concept it is intended to measure. A valid survey question measures what it claims to measure.

Key Statistics

According to a 2023 report by Pew Research Center, approximately 85% of US adults participate in at least one online survey per year.

Source: Pew Research Center (2023)

Non-response rates in online surveys can range from 5% to 30%, impacting the representativeness of the sample (American Association for Public Opinion Research, 2022).

Source: AAPOR (2022)

Examples

National Family Health Survey (NFHS)

The NFHS in India is a large-scale, multi-round survey that meticulously tests its questionnaires to ensure clarity and cultural appropriateness across diverse populations.

Frequently Asked Questions

What is the difference between a Likert scale and a semantic differential scale?

A Likert scale measures agreement or disagreement with a statement (e.g., Strongly Agree to Strongly Disagree), while a semantic differential scale measures attitudes towards a concept using bipolar adjectives (e.g., Good-Bad, Strong-Weak).

Topics Covered

Research MethodologyStatisticsSurvey DesignQuestionnaire ConstructionData CollectionMeasurement