Integrating and Visualizing Heterogeneous Data: A Mixed Methods Case Study of Advertising Films

This article addresses a core challenge in mixed methods research: integrating and visualizing heterogeneous data in a rigorous and transparent way. It introduces a novel approach to joint display analysis using dynamic, interactive visualizations that foster simultaneous bidirectional exchange between quantitative psychophysiological data and qualitative interview data. Demonstrated through a case study of advertising films on emotion and episodic memory, the approach shows how visualizations can serve as analytical tools rather than merely as communication devices. The contribution to mixed methods research lies in providing a systematic, replicable framework for synthesizing disparate data while preserving contextual nuance. More broadly, it advances methodological practice by enhancing transparency, promoting iterative interaction, and offering scalable prospects for future mixed methods inquiry.

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Publication Details

Journal
Journal of Mixed Methods Research
Published
2025-10-28
DOI
https://doi.org/10.1177/15586898251387865
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating and Visualizing Heterogeneous Data: A Mixed Methods Case Study of Advertising Films

Lasse Hansen, Anders Bonde, Rasmus Døj
Journal of Mixed Methods Research
Data Visualization and Analytics
article

Integrating and Visualizing Heterogeneous Data: A Mixed Methods Case Study of Advertising Films

Lasse Hansen, Anders Bonde, Rasmus Døj
article en

Abstract

This article addresses a core challenge in mixed methods research: integrating and visualizing heterogeneous data in a rigorous and transparent way. It introduces a novel approach to joint display analysis using dynamic, interactive visualizations that foster simultaneous bidirectional exchange between quantitative psychophysiological data and qualitative interview data. Demonstrated through a case study of advertising films on emotion and episodic memory, the approach shows how visualizations can serve as analytical tools rather than merely as communication devices. The contribution to mixed methods research lies in providing a systematic, replicable framework for synthesizing disparate data while preserving contextual nuance. More broadly, it advances methodological practice by enhancing transparency, promoting iterative interaction, and offering scalable prospects for future mixed methods inquiry.

Journal of Mixed Methods Research
Aalborg University (DK)
Openalex Percentile: Top 69%
Data Visualization and Analytics
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