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Indirect Observation in Everyday Contexts: Concepts and Methodological Guidelines within a Mixed Methods Framework.

M Teresa Anguera1, Mariona Portell2, Salvador Chacón-Moscoso3,4

  • 1Faculty of Psychology, Institute of Neurosciences, University of Barcelona, Barcelona, Spain.

Frontiers in Psychology
|February 15, 2018
PubMed
Summary

This study introduces indirect observation, a method for analyzing qualitative data like texts and narratives. It offers a framework to quantitatively analyze this rich data, revealing behavioral patterns in everyday life.

Keywords:
indirect observationmixed methodsquantitizingsystematic observationtextual materialsverbal behavior

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Area of Science:

  • Social Sciences
  • Qualitative Research Methods
  • Mixed Methods Research

Background:

  • Indirect observation analyzes textual and object-based data from natural settings.
  • This approach leverages rich, growing data sources from new technologies.
  • Existing methods lack structure for objective analysis of diverse indirect observation data.

Purpose of the Study:

  • To present a methodological framework for quantitatively analyzing qualitative data from indirect observation.
  • To provide guidelines for structuring indirect observation studies and ensuring data reliability.
  • To facilitate the integration of qualitative and quantitative elements in studying everyday life.

Main Methods:

  • A structured framework for indirect observation, including study design, segmentation, and instrument development.
  • Emphasis on data quality control to ensure reliable code matrices.
  • Transformation of qualitative data into code matrices (not frequencies) for quantitative analysis.
  • Utilizing software tools for various stages of data processing.

Main Results:

  • Demonstrates how indirect observation studies can generate quantitative data.
  • Provides a flexible method for data collection and quality control.
  • Highlights the potential for new perspectives in integrating data for biopsychosocial studies.

Conclusions:

  • The proposed framework enables objective, quantitative analysis of qualitative indirect observation data.
  • This mixed methods approach effectively detects underlying structures and behavioral patterns.
  • The method enhances the study of biopsychosocial aspects within everyday contexts.