Q Method: Assessing Subjectivity Through Structured Ranking of Items

S. Leidig, H. Köhler, C. Caruso, M. Goller, in: M. Goller, E. Kyndt, S. Paloniemi, C. Damşa (Eds.), Methods for Researching Professional Learning and Development: Challenges, Applications and Empirical Illustrations, Springer , Cham, 2022, pp. 441–466.

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Book Chapter | Published | English
Author
Leidig, Susann; Köhler, Hanna; Caruso, CarinaLibreCat; Goller, MichaelLibreCat
Book Editor
Goller, Michael; Kyndt, Eva; Paloniemi, Susanna; Damşa , Crina
Abstract
Q is an exploratory method used to elicit discrete patterns of subjectivity (e.g., subjective theories, beliefs). To be more concrete, Q method aims to identify homogeneous latent clusters of viewpoints towards a certain topic from a larger more heterogeneous set of (a priori unknown) different viewpoints held by respondents in the population. For this purpose, study participants are asked to sort qualitative statements concerning a certain topic (e.g., their beliefs toward something) into a grid roughly following a normal distribution indicating whether they agree or disagree with the given propositions. This results in a so-called Q-sort for each participant that then can be fed into a factor analysis that compares the different Q-sorts and groups them by similarity. In the first part of the chapter, Q method is introduced. The second part of the chapter describes a small study focusing on student teachers and their perspectives concerning upcoming long-term school internships.
Publishing Year
Book Title
Methods for researching professional learning and development: Challenges, applications and empirical illustrations
Series Title / Volume
Professional and Practice-based Learning
Volume
33
Page
441–466
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eISSN
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Cite this

Leidig S, Köhler H, Caruso C, Goller M. Q Method: Assessing Subjectivity Through Structured Ranking of Items. In: Goller M, Kyndt E, Paloniemi S, Damşa C, eds. Methods for Researching Professional Learning and Development: Challenges, Applications and Empirical Illustrations. Vol 33. Professional and Practice-based Learning. Springer ; 2022:441–466. doi:10.1007/978-3-031-08518-5_20
Leidig, S., Köhler, H., Caruso, C., & Goller, M. (2022). Q Method: Assessing Subjectivity Through Structured Ranking of Items. In M. Goller, E. Kyndt, S. Paloniemi, & C. Damşa (Eds.), Methods for researching professional learning and development: Challenges, applications and empirical illustrations (Vol. 33, pp. 441–466). Springer . https://doi.org/10.1007/978-3-031-08518-5_20
@inbook{Leidig_Köhler_Caruso_Goller_2022, place={Cham}, series={Professional and Practice-based Learning}, title={Q Method: Assessing Subjectivity Through Structured Ranking of Items}, volume={33}, DOI={10.1007/978-3-031-08518-5_20}, booktitle={ Methods for researching professional learning and development: Challenges, applications and empirical illustrations}, publisher={Springer }, author={Leidig, Susann and Köhler, Hanna and Caruso, Carina and Goller, Michael}, editor={Goller, Michael and Kyndt, Eva and Paloniemi, Susanna and Damşa , Crina}, year={2022}, pages={441–466}, collection={Professional and Practice-based Learning} }
Leidig, Susann, Hanna Köhler, Carina Caruso, and Michael Goller. “Q Method: Assessing Subjectivity Through Structured Ranking of Items.” In Methods for Researching Professional Learning and Development: Challenges, Applications and Empirical Illustrations, edited by Michael Goller, Eva Kyndt, Susanna Paloniemi, and Crina Damşa , 33:441–466. Professional and Practice-Based Learning. Cham: Springer , 2022. https://doi.org/10.1007/978-3-031-08518-5_20.
S. Leidig, H. Köhler, C. Caruso, and M. Goller, “Q Method: Assessing Subjectivity Through Structured Ranking of Items,” in Methods for researching professional learning and development: Challenges, applications and empirical illustrations, vol. 33, M. Goller, E. Kyndt, S. Paloniemi, and C. Damşa , Eds. Cham: Springer , 2022, pp. 441–466.
Leidig, Susann, et al. “Q Method: Assessing Subjectivity Through Structured Ranking of Items.” Methods for Researching Professional Learning and Development: Challenges, Applications and Empirical Illustrations, edited by Michael Goller et al., vol. 33, Springer , 2022, pp. 441–466, doi:10.1007/978-3-031-08518-5_20.

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