Open-access book: A Guide to qcaERT: Robustness Diagnostics in QCA
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Breno Marisguia
Aug 4, 2026, 2:10:55 PMAug 4
to QCA with R
Dear members,
I recently completed an open-access book titled A Guide to qcaERT: Robustness Diagnostics in QCA.
The book grew out of my work on the qcaERT R package and is intended as a practical guide for researchers who want to examine how their QCA results respond to a plethora of analytical decisions.
It discusses calibration sensitivity, frequency and inclusion cutoffs, alternative analytical settings, leave-one-out diagnostics, subsampling, cluster heterogeneity, theory-specific condition sets, and the presentation and interpretation of QCA solutions.
A central concern is to make robustness claims more explicit: what was varied, what remained fixed, which QCA object was compared, and what counted as preservation or change.
The book also discusses in depth the contribution of qcaERT in relation to the SetMethods package.
I hope you find it useful! If you have any comments, corrections, or questions, feel free to reach out.
Best,
Breno
Full open-access book: https://marisguia.github.io/qcaERT/
CRAN link: https://cran.r-project.org/package=qcaERT
I recently completed an open-access book titled A Guide to qcaERT: Robustness Diagnostics in QCA.
The book grew out of my work on the qcaERT R package and is intended as a practical guide for researchers who want to examine how their QCA results respond to a plethora of analytical decisions.
It discusses calibration sensitivity, frequency and inclusion cutoffs, alternative analytical settings, leave-one-out diagnostics, subsampling, cluster heterogeneity, theory-specific condition sets, and the presentation and interpretation of QCA solutions.
A central concern is to make robustness claims more explicit: what was varied, what remained fixed, which QCA object was compared, and what counted as preservation or change.
The book also discusses in depth the contribution of qcaERT in relation to the SetMethods package.
I hope you find it useful! If you have any comments, corrections, or questions, feel free to reach out.
Best,
Breno
Full open-access book: https://marisguia.github.io/qcaERT/
CRAN link: https://cran.r-project.org/package=qcaERT
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