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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.
Advantages of using secondary data
Limitations of secondary data
Factors causing differing interpretations in historical research
Key challenges in historical and archival research
Written secondary materials
Textual documentary evidence including internal organizational reports, annual company reports, correspondence (emails and letters), books, journals, and newspapers.
Non-written secondary materials
Visual, auditory, or physical artefacts used as evidence, such as television broadcasts, radio recordings, films, artwork, and architecture.
Survey data (secondary source)
Pre-existing structured quantitative datasets compiled by external organizations, including national censuses, household surveys, employment figures, and market research.
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.
Four main sources of documentary data
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.
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.
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.
Data mining
The application of statistical techniques to large datasets to discover previously unnoticed patterns, correlations, trends, and predictive behaviours.
Text mining
The computational analysis of extensive digitised text corpuses to track evolving patterns, structures, and meanings in language use.
Meta-analysis
A quantitative statistical method that aggregates empirical findings across multiple independent studies to determine overall effect sizes and provide robust conclusions.
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.
Criticisms (historical method)
The critical evaluation stage where historical sources are systematically tested for authenticity, contextual integrity, internal accuracy, and researcher bias.
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.