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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

APA 7

Blatter, J., & Haverland, M. (2012). Co-Variational Analysis. Palgrave Macmillan UK eBooks, 33–78. https://doi.org/10.1057/9781137016669_2

MLA 9

Blatter, Joachim, and Markus Haverland. “Co-Variational Analysis.” Palgrave Macmillan UK eBooks, 2012, pp. 33–78, https://doi.org/10.1057/9781137016669_2.

Chicago

Blatter, Joachim, and Markus Haverland. 2012. “Co-Variational Analysis.” Palgrave Macmillan UK eBooks: 33–78. https://doi.org/10.1057/9781137016669_2.

Harvard

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.

BibTeX
@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}
}

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