What Types of Data And Evidence Do Sociologists Use? (Copy)

O Level Sociology – Cheat Sheet

1.2 What types of data and evidence do sociologists use?

1.2.1 Sources of Data

• Primary Data:
  Data collected first-hand by the researcher (e.g. interviews, questionnaires, observations).
  ✔ More control, up-to-date
  ✘ Time-consuming, costly, potential bias
• Secondary Data:
  Data collected by others, used by sociologists for analysis (e.g. government reports, media, archives).
  ✔ Cheap, quick, often large-scale
  ✘ May be outdated, biased, or lack relevance
• Qualitative Data:
  Descriptive, detailed data (words).
  Methods: interviews, case studies, observations
  ✔ Rich, valid, explores meaning
  ✘ Hard to compare, subjective
• Quantitative Data:
  Numerical/statistical data (numbers).
  Methods: surveys, official statistics
  ✔ Easy to analyze, compare, objective
  ✘ May lack depth, less valid

1.2.2 Secondary Evidence

• Official Statistics:
  Government data (e.g. crime rates, birth rates)
  ✔ Large-scale, reliable, easy to compare
  ✘ May lack validity, politically influenced
• Historical and Personal Documents:
  Letters, diaries, autobiographies
  ✔ Insight into personal experiences and past societies
  ✘ Subjective, limited scope, authenticity concerns
• Digital Sources:
  Social media posts, blogs, forums
  ✔ Current, wide access to public views
  ✘ Fake information, difficult to verify, unrepresentative
• Media Content:
  News, TV shows, films, websites
  ✔ Reflects public discourse, easy access
  ✘ Biased, sensationalist, lacks objectivity

1.2.3 Analysis, Interpretation and Evaluation of Data

• Summaries of Sociological Studies:
  Concise descriptions of research aims, methods, findings.
  Used to evaluate strengths/weaknesses and theoretical relevance.
• Diagrams:
  Visuals (e.g. concept maps, flow charts) to simplify complex data or theory.
• Tables:
  Organize quantitative data clearly for comparison (e.g. exam pass rates by gender).
• Charts:
  Pie charts/bar charts used to present proportions, distributions.
  ✔ Easy to read, good for summaries
  ✘ May oversimplify
• Graphs:
  Line graphs, histograms to show trends over time or relationships.
  ✔ Useful for identifying patterns
  ✘ Can mislead if scales/labels unclear