book chapter · Palgrave Macmillan UK eBooks · 2012
Co-Variational Analysis
Joachim Blatter, Markus Haverland
Cited by 0Abstract and details only
Abstract
We call the first research approach to small-N studies co-variational analysis (COV). This methodological approach presents empirical evidence of the existence of co-variation between an independent variable X and a dependent variable Y to infer causality. This approach has dominated the thinking about small-N research designs since the 1970s. We present it here as the first approach because it has been central to most of the methodological reflections on small-N research designs. Nevertheless, as we will see at the end of this chapter, because of its inherent limitations, it seems wise to complement this approach with other approaches, especially with elements from the causal-process tracing approach (CPT).
Cite this paper
Blatter, J., & Haverland, M. (2012). Co-Variational Analysis. Palgrave Macmillan UK eBooks, 33–78. https://doi.org/10.1057/9781137016669_2
Blatter, Joachim, and Markus Haverland. “Co-Variational Analysis.” Palgrave Macmillan UK eBooks, 2012, pp. 33–78, https://doi.org/10.1057/9781137016669_2.
Blatter, Joachim, and Markus Haverland. 2012. “Co-Variational Analysis.” Palgrave Macmillan UK eBooks: 33–78. https://doi.org/10.1057/9781137016669_2.
Blatter, J. and Haverland, M. (2012) ‘Co-Variational Analysis’, Palgrave Macmillan UK eBooks, pp. 33–78. Available at: https://doi.org/10.1057/9781137016669_2.
@incollection{blatter2012variational,
title = {{Co-Variational Analysis}},
author = {Blatter, Joachim and Haverland, Markus},
booktitle = {Palgrave Macmillan UK eBooks},
pages = {33--78},
year = {2012},
doi = {10.1057/9781137016669_2}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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