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Longitudinal Content Analysis

Longitudinal Content Analysis (LCA) applies systematic content analysis to documents, media, or texts sampled at two or more time points in order to detect how themes, frames, language, or discourse patterns change or persist over time. Drawing on the established logic of content analysis, it adds a temporal dimension that allows researchers to chart trends, trace the evolution of representations, and test hypotheses about historical or social change. It is widely used in communication research, political science, media studies, and the health sciences.

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Taksonoomiline meetodikirje · process-pipeline / qualitative

Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. · ISBN 978-1506395661
Neuendorf, K. A. (2017). The Content Analysis Guidebook (2nd ed.). Sage. · ISBN 978-1412979474

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Same method familyContent Analysismachine-suggested · Relational suggestion, not evidence.Same method familyDiscourse Analysismachine-suggested · Relational suggestion, not evidence.Same method familyDocument Analysismachine-suggested · Relational suggestion, not evidence.Same method familyNarrative Analysismachine-suggested · Relational suggestion, not evidence.Same method familyThematic Analysismachine-suggested · Relational suggestion, not evidence.