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On the choice of measures of reliability and validity in the content-analysis of texts

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Listed:
  • Anton Oleinik
  • Irina Popova
  • Svetlana Kirdina
  • Tatyana Shatalova

Abstract

The paper discusses several reliability measures: Scott’s pi, Krippendorff’s alpha, free marginal adjustment (Bennett, Alpert and Goldstein’s $$S$$ S ), Cohen’s kappa, and Perreault and Leigh’s $$I$$ I and the assumptions on which they are based. It is suggested that correlation coefficients between, on one hand, the distribution of qualitative codes and, on the other hand, word co-occurrences and the distribution of the categories identified with the help of the dictionary based on substitution complement the other reliability measures. The paper shows that the choice of the reliability measure depends on the format of the text (stylistic versus rhetorical) and the type of reading (comprehension versus interpretation). Namely, Cohen’s kappa and Bennett, Alpert and Goldstein’s $$S$$ S emerge as reliability measures particularly suited for perspectival reading of rhetorical texts. Outcomes of the content analysis of 57 texts performed by four coders with the help of computer program QDA Miner inform the analysis. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Anton Oleinik & Irina Popova & Svetlana Kirdina & Tatyana Shatalova, 2014. "On the choice of measures of reliability and validity in the content-analysis of texts," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2703-2718, September.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:5:p:2703-2718
    DOI: 10.1007/s11135-013-9919-0
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    References listed on IDEAS

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    1. Kenneth J. Arrow, 1950. "A Difficulty in the Concept of Social Welfare," Journal of Political Economy, University of Chicago Press, vol. 58(4), pages 328-328.
    2. Francisco Leiva & Francisco Ríos & Teodoro Martínez, 2006. "Assessment of Interjudge Reliability in the Open-Ended Questions Coding Process," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(4), pages 519-537, August.
    3. Lieuwe Dijkstra & Frans Eijnatten, 2009. "Agreement and consensus in a Q-mode research design: an empirical comparison of measures, and an application," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(5), pages 757-771, September.
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    Cited by:

    1. Savastano Marco & Anagnoste Sorin, 2020. "Pioneering Strategies in Retail Settings: An Empirical Study of Successful Practices," Management & Marketing, Sciendo, vol. 15(4), pages 643-663, December.
    2. Chih-Hsing Liu & Jeou-Shyan Horng & Sheng-Fang Chou & Tai-Yi Yu & Yung-Chuan Huang & Jun-You Lin, 2023. "Integrating big data and marketing concepts into tourism, hospitality operations and strategy development," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1905-1922, April.
    3. Michael Hennessy & Amy Bleakley & Morgan E. Ellithorpe, 2023. "Evaluating and tracking qualitative content coder performance using item response theory," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1231-1245, April.
    4. Anton Oleinik, 2015. "On content analysis of images of mass protests: a case of data triangulation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 2203-2220, September.
    5. Anton Oleinik & Svetlana Kirdina-Chandler & Irina Popova & Tatyana Shatalova, 2017. "On academic reading: citation patterns and beyond," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 417-435, October.
    6. Anton Oleinik, 2024. "A Bayesian index of association: comparison with other measures and performance," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 277-305, February.

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