The Comparative Advantages of fsQCA and Regression Analysis for Moderately Large-N Analyses

By Barbara Vis. 2012

460 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/84ce684c21129c93009ab8de8516f276a27a4adf

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Citations in the corpus

Which model of capitalism best delivers both wealth and equality? (2014, background): “…average, have greater economic equality as they become wealthier, it is important to note that because fsQCA does not assume a specific probability distribution, outliers are not as much of a concern compared with regression analysis (Fiss, 2011; Hair, Anderson, Tatham, & Black, 1998; Vis, 2012).”
How psychological and contextual factors contribute to travelers’ propensity to choose green hotels? (2019, methodology): “Based on Vis (2012) recommendation, we followed a sequential approach of SEM followed by fsQCA.”
Examining the role of CSR skepticism using fuzzy-set qualitative comparative analysis (2014, background): “Furthermore, MRA is less demanding regarding prior causal knowledge and therefore is less affected by the researcher’s prior knowledge, has a clear empiricist foundation, and does not require the calibration of data (Vis, 2012).”
An overview of qualitative comparative analysis: A bibliometric analysis (2017, methodology): “In recent years, the adoption of qualitative comparative analysis (QCA), which uses Boolean logic, has been growing, substituting traditional correlation methods to establish causal conditions related to a particular result (Ragin & Fiss, 2008; Ragin, 1987; Ragin, 2000; Ragin, 2008; Vis, 2012; Woods”
The role of inspiring role models in enhancing entrepreneurial intention (2019, methodology): “Finally, the technique can reveal additional patterns in the data that otherwise would have been difficult to capture (Kent, 2015; Vis, 2012).”
QCA, the Truth Table Analysis and Large-N Survey Data : The Benefits of Calibration and the Importance of Robustness Tests (2014, background): “QCA has unique advantages over regression-based approaches (Ragin 2008; Vis 2012; Schneider and Wagemann 2013) and thus promises new insights in the analysis of large-N datasets.”