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Longitudinal Quantitative Content Analysis

Longitudinal quantitative content analysis systematically codes and counts features of texts, images, or media messages gathered at two or more points in time, enabling researchers to track how content changes, how themes rise or fall in prevalence, and how media or institutional messaging responds to external events. The design merges the structured measurement logic of quantitative content analysis with the temporal tracking power of longitudinal observation.

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Sources

  1. Riffe, D., Lacy, S., Watson, B., & Fico, F. (2019). Analyzing Media Messages: Using Quantitative Content Analysis in Research (4th ed.). Routledge. ISBN: 9781138490536
  2. Neuendorf, K. A. (2017). The Content Analysis Guidebook (2nd ed.). Sage. ISBN: 9781412979474

Related methods

Descriptive ResearchLongitudinal ResearchPanel ResearchQuantitative Content AnalysisTrend Research

Referenced by

Bayesian Quantitative Content AnalysisComparative Quantitative Content AnalysisCross-sectional Quantitative Content AnalysisMultivariate Quantitative Content AnalysisPanel-based quantitative content analysisQuantitative Content Analysis

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ScholarGate — Longitudinal Quantitative Content Analysis (Longitudinal Quantitative Content Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/research-design/longitudinal-quantitative-content-analysis