Compounding mixed-methods problems in frame analysis through comparative research

This article presents a novel methodological program for frame analysis of textual data and discusses its application in cross-national research. The proposed approach systematizes recent theoretical developments in frame analyses, and offers a step-by-step program for frame identification and measurement, which synthesizes the implications of aforementioned developments into a coherent methodological framework. Frames are identified with analysis techniques borrowed from sociolinguistics, discourse analysis, and dictionary-free quantitative content analysis. The results of the identification process are subsequently validated via latent class analyses of data matrices, which are obtained with the help of coding techniques that utilize computer-assisted qualitative software packages. Since more interpretative, qualitative elements of frame analysis are combined with quantitative content analysis, findings are of high conceptual validity and generalizability. Comparative broadening of the approach considerably improves the quality of the detected frames.

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