Collecting & Analysing Secondary Data

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19 Terms

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Secondary data

Information that a researcher did not collect firsthand, including previously recorded materials such as documents, official statistics, records, artefacts, and archives.

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Advantages of using secondary data

  • Provides essential background and contextual information
  • Saves significant time and financial resources compared to primary data collection
  • Grants access to large-scale, professionally collected datasets
  • Facilitates longitudinal studies over extended periods
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Limitations of secondary data

  • May not precisely match the specific research question
  • Researcher lacks direct involvement in the data collection process
  • Inconsistencies in terminology and measurement methods across sources
  • Potential access restrictions or high financial costs
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Factors causing differing interpretations in historical research

  • The specific selection of evidence examined
  • The completeness or gaps in the surviving data
  • The differing perspectives, theoretical stances, and frameworks of individual researchers
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Key challenges in historical and archival research

  • Locating and gaining access to relevant archives
  • Authenticating source provenance
  • Assessing credibility and uncovering bias
  • Determining source representativeness
  • Choosing appropriate interpretive methods
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Written secondary materials

Textual documentary evidence including internal organizational reports, annual company reports, correspondence (emails and letters), books, journals, and newspapers.

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Non-written secondary materials

Visual, auditory, or physical artefacts used as evidence, such as television broadcasts, radio recordings, films, artwork, and architecture.

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Survey data (secondary source)

Pre-existing structured quantitative datasets compiled by external organizations, including national censuses, household surveys, employment figures, and market research.

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Cultural text

Any text, object, or phenomenon that carries and conveys cultural meaning (e.g., films, television shows, books, artwork), analysed to reveal social values and historical realities.

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Four main sources of documentary data

  • Personal sources: Diaries, personal letters, autobiographies
  • Official sources: State records, government documentation, national statistics
  • Media sources: Press reports, TV broadcasts, photographs, maps
  • Academic sources: Peer-reviewed articles, scholarly textbooks, research reports
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Authentication in documentary research

The process of verifying whether a document is genuine, identifying who produced it, and establishing when it was created, using techniques such as textual, paper, or carbon analysis.

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Assessing credibility in secondary data

Critically examining a source to determine its reliability, check for underlying bias, evaluate original collection procedures, and interpret claims within their historical context.

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Content analysis

A quantitative research technique that systematically counts the frequency of specific words, concepts, images, or themes within texts or media to discern patterns.

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Data mining

The application of statistical techniques to large datasets to discover previously unnoticed patterns, correlations, trends, and predictive behaviours.

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Text mining

The computational analysis of extensive digitised text corpuses to track evolving patterns, structures, and meanings in language use.

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Meta-analysis

A quantitative statistical method that aggregates empirical findings across multiple independent studies to determine overall effect sizes and provide robust conclusions.

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Heuristic (historical method)

The exploratory phase of historical inquiry focused on identifying, discovering, and assembling relevant sources of evidence such as documents, sites, and artefacts.

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Criticisms (historical method)

The critical evaluation stage where historical sources are systematically tested for authenticity, contextual integrity, internal accuracy, and researcher bias.

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Synthesis and exposition (historical method)

The final stage of historical methodology where evidence is integrated into a coherent narrative, conclusions are drawn, and interpretations are presented.