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  • Effect sizes of the d-family

    https://www.eur.nl/en/erim/research-support/meta-essentials/user-manual/select-appropriate-workbook/effect-sizes-d-family

    Research designs in the d-family can be categorized along two dimensions...

  • Adding new publications

    https://www.eur.nl/en/erim/erim/research-initiatives/necessary-condition-analysis/publications-nca/adding-new-publications

    Authors of an NCA publication can propose an accepted or published work (article, book chapter, book, thesis, conference paper, etc.) to be referenced on...

  • NCA FAQs

    https://www.eur.nl/en/erim/nca-faqs

    Most frequently asked questions about NCA are answered in more depth in the online NCA book or on the online NCA Forum. If your question is not answered...

  • NCA Logo

    https://www.eur.nl/en/erim/nca-logo

    Download the NCA logo

  • NCA Newsletter

    https://www.eur.nl/en/erim/nca-newsletter

    If you are interested in updates about NCA developments and NCA applications, you can subscribe to the NCA newsletter (four times per year).

  • NCA Philosophy

    https://www.eur.nl/en/erim/nca-philosophy

    The NCA philosophy is explained in four principles: Reduction of complexity, academic rigor, practical relevance, and history and future.

  • Get started with NCA

    https://www.eur.nl/en/erim/what-nca/get-started-nca

    There are three ways to get started with NCA and to check whether your data may contain a necessary condition.

  • How does NCA work?

    https://www.eur.nl/en/erim/what-nca/how-does-nca-work

    The starting point for identifying a necessary (but not sufficient) condition is a scatter plot of data (see figures)...

  • Who can use NCA?

    https://www.eur.nl/en/erim/what-nca/who-can-use-nca

    NCA is an approach and tool for researchers who wish to build or test theory with empirical data and write impactful publications, and for data analysts...

  • What is NCA?

    https://www.eur.nl/en/erim/what-nca

    Necessary Condition Analysis (NCA) is an approach and tool for identifying necessary conditions in data sets.

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