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Happiness Index: Visualizing the Survey

Methods of Enquiry in Psychology

Step into the shoes of a data analyst for a popular Indian magazine to visualize and interpret survey research data. Explore how personal interviews and questionnaires capture opinions, and see how correlation and question types shape the findings.

25 min
Duration
2
Missions
7
Problems
90
XP

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📖 Your Story

You are the lead data analyst at 'Bharat Today', a popular Indian magazine. Your editor has just handed you the raw data from a massive nationwide survey on what makes Indians happy, conducted across eight major cities. Your mission is to visualize the data, understand the survey techniques used, and present the findings accurately to millions of readers.

What You'll Learn

  • Differentiate between personal interviews and questionnaire surveys as data collection techniques.
  • Identify and explain positive, negative, and zero correlations in survey data.
  • Distinguish between open-ended and closed-ended questions, and structured and unstructured interviews.
  • Understand the advantages and limitations of survey research methods.

How to Play

1Review the survey data dashboard and select the appropriate visualization (pie chart, bar graph, scatter plot) for each data type.
2Analyze the visualized data to answer questions about survey methods, question types, and respondent trends.
3Identify the correlation type (positive, negative, zero) between different survey variables based on the scatter plots.
4Distinguish between structured/unstructured interviews and open-ended/closed-ended questions based on the survey's methodology.

2 Missions Await

1

Mapping the Happiness Data

3 problems · 30 XP

2

Choosing the Right Tool

4 problems · 60 XP