How to analyze change in perception from paired Q-sorts

Noori Akhtar-Danesh and Stephen C. Wingreen

Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 16, 5681-5691

Abstract: Although there have been some previous attempts on analyzing changes in perceptions in Q-methodology, a systematic approach is lacking. In this article we introduce two new methods for analyzing change in perceptions in Q-methodology using paired Q-sorts. We also demonstrate these methods using an actual dataset.Method I: This approach is appropriate for assessing the changes in perceptions between two different conditions of instruction applied to the same subjects. The changes are assessed using a factor analysis on the differences between the Q-sorts from the two conditions of instruction.Method II: This method examines the changes in perception from a baseline Q-analysis. This is usually appropriate when data are collected at two time-points, e.g., before-after situations, where the first assessment is considered as the baseline. In this approach, a by-person factor analysis is conducted on the baseline Q-sorts (condition 1) and factors are identified. Then, the changes in perceptions are assessed for the subjects loaded on any factor from baseline using the Q-sorts from condition 2.In conclusion, these two methods are easy to apply, the results are more objective, and are less prone to investigator bias.

Date: 2022
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DOI: 10.1080/03610926.2020.1845734

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