Abstract
Q-analysis has proven a useful research methodology in a number of social science research areas for exploration of structures in human and social phenomena. Unrelated to either Q-mode factor analysis or the Q-sort technique, Q-analysis combines an anti-reductionist ethos with algebraic description. This paper addresses Q-analysis's potential contribution to content analysis of print communication. Twenty-seven news stories covering the “drug war” from the New York Times are analyzed to illustrate the Q-analysis approach and conceptual comparisons with traditional content analysis methodology are drawn. Advantages and disadvantages are evaluated. The report concludes that Q-analysis is a promising approach to content research that makes possible the mathematical expression of content properties beyond the reach of traditional content analysis methods.
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