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Summary

This study shows that combining computerized text analysis tools, like Linguistic Inquiry and Word Count (LIWC) and the Meaning Extraction Method (MEM), with traditional thematic analysis offers unique insights in qualitative research.

Keywords:
LIWCMeaning Extraction Methodqualitative methodstext analysisthematic analysis

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Area of Science:

  • Psychology
  • Qualitative Research Methods

Background:

  • Enhancing methodological integrity in qualitative research is a growing focus.
  • Computerized text analysis tools offer complementary value alongside manual coding.

Purpose of the Study:

  • To explore the unique insights provided by Linguistic Inquiry and Word Count (LIWC) and the Meaning Extraction Method (MEM) compared to traditional thematic analysis.
  • To assess if these methods yield information not evident through other approaches.

Main Methods:

  • Analysis of qualitative interview data from paraprofessionals delivering Brief Psychological Interventions (BPIs).
  • Application of two text analysis methods: LIWC and MEM.
  • Comparison of findings with traditional thematic analysis.

Main Results:

  • LIWC, MEM, and thematic analysis are complementary, each offering distinct insights.
  • Implementing a single method alone may result in missed information.
  • Text analysis can validate traditional qualitative approaches.

Conclusions:

  • Integrating multiple text analysis methods enhances the depth and validity of qualitative findings.
  • Combined approaches reveal complex relationships and patterns within textual data.
  • This study supports the synergistic use of computational and traditional methods in psychological research.