Secondary methods and data

Secondary Methods and Data

Official Statistics

  • Official statistics: These are numerical data collected by government agencies or other public bodies.
  • Useful for identifying social trends on a large scale, such as changes in crime rates or marriage patterns.
  • The validity of official statistics can be questionable, and sociologists must recognise potential bias or inaccuracies.

Documents

  • Personal documents: Diaries, letters, and emails can provide deep insight into personal experiences and perspectives.
  • Public documents: Government reports, newspapers, and company records can offer useful information about broader societal issues and contexts.
  • Issues to consider with document analysis include authenticity, representativeness, and meaning which the author originally intended.

Media Outputs

  • Media content can provide insights into societal values, norms, and beliefs. This is valuable for the study of areas such as gender, race, or class representation.
  • Analysis can include qualitative content analysis, studying themes and narratives, or quantitative content analysis, counting frequency of certain items.
  • It’s crucial to maintain an objective and critical approach in media analysis to avoid bias.

Social Media and Digital Data

  • Big data: Massive data sets collected by tech companies from online behaviours can be analysed to observe patterns and relationships.
  • Online ethnography: This method studies online communities and social phenomena in the digital realm.
  • However, issues of privacy, consent, and data validity emerge with the use of digital data.

Use of secondary data

  • Secondary data analysis can be cost-effective and less time-consuming, as data is already collected.
  • It provides the opportunity to study past social conditions and changes over time.
  • But reliability and validity of secondary data can be hard to verify, and it may not exactly fit the researcher’s needs.