IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v56y2022i4d10.1007_s11135-021-01188-6.html
   My bibliography  Save this article

Importing set-theoretic tools into quantitative research: the case of necessary and sufficient conditions

Author

Listed:
  • James Mahoney

    (Northwestern University)

  • Andrew Owen

    (Northwestern University)

Abstract

In this article, we import set-theoretic methods from the qualitative research tradition into the quantitative research tradition. We focus specifically on set-theoretic methods designed to analyze the extent to which a condition is necessary and is sufficient for an outcome of interest. We use these methods to reanalyze four major studies from the quantitative tradition. We find that set-theoretic methods call attention to asymmetrical patterns in the data that otherwise go unnoticed and unanalyzed. We develop a general set-theoretic framework for the study of necessity and sufficiency. We conclude that the use of this framework can enrich existing and future quantitative research in the social sciences.

Suggested Citation

  • James Mahoney & Andrew Owen, 2022. "Importing set-theoretic tools into quantitative research: the case of necessary and sufficient conditions," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2001-2022, August.
    • Handle: RePEc:spr:qualqt:v:56:y:2022:i:4:d:10.1007_s11135-021-01188-6
    DOI: 10.1007/s11135-021-01188-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-021-01188-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-021-01188-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dunning,Thad, 2012. "Natural Experiments in the Social Sciences," Cambridge Books, Cambridge University Press, number 9781107017665, November.
    2. Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702773, December.
    3. Deaton, Angus & Cartwright, Nancy, 2018. "Understanding and misunderstanding randomized controlled trials," Social Science & Medicine, Elsevier, vol. 210(C), pages 2-21.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    5. Schneider, Carsten Q., 2018. "Realists and Idealists in QCA," Political Analysis, Cambridge University Press, vol. 26(2), pages 246-254, April.
    6. Gerber, Alan S. & Green, Donald P. & Larimer, Christopher W., 2008. "Social Pressure and Voter Turnout: Evidence from a Large-Scale Field Experiment," American Political Science Review, Cambridge University Press, vol. 102(1), pages 33-48, February.
    7. Dunning,Thad, 2012. "Natural Experiments in the Social Sciences," Cambridge Books, Cambridge University Press, number 9781107698000, November.
    8. Kinsella, David, 2005. "No Rest for the Democratic Peace," American Political Science Review, Cambridge University Press, vol. 99(3), pages 453-457, August.
    9. repec:ucp:bkecon:9780226702766 is not listed on IDEAS
    10. Clark, William Roberts & Gilligan, Michael J. & Golder, Matt, 2006. "A Simple Multivariate Test for Asymmetric Hypotheses," Political Analysis, Cambridge University Press, vol. 14(3), pages 311-331, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Haoge Chang & Joel Middleton & P. M. Aronow, 2021. "Exact Bias Correction for Linear Adjustment of Randomized Controlled Trials," Papers 2110.08425, arXiv.org, revised Oct 2021.
    2. Gruener, Sven, 2018. "A comment on randomization checks in economics experiments," SocArXiv xwju8, Center for Open Science.
    3. Committee, Nobel Prize, 2021. "Answering causal questions using observational data," Nobel Prize in Economics documents 2021-2, Nobel Prize Committee.
    4. Gary Goertz & Tony Hak & Jan Dul, 2013. "Ceilings and Floors," Sociological Methods & Research, , vol. 42(1), pages 3-40, February.
    5. Parker Hevron, 2018. "Judicialization and Its Effects: Experiments as a Way Forward," Laws, MDPI, vol. 7(2), pages 1-21, May.
    6. Vellore Arthi & James Fenske, 2018. "Polygamy and child mortality: Historical and modern evidence from Nigeria’s Igbo," Review of Economics of the Household, Springer, vol. 16(1), pages 97-141, March.
    7. Baldwin, Kate & Bhavnani, Rikhil R., 2013. "Ancillary Experiments: Opportunities and Challenges," WIDER Working Paper Series 024, World Institute for Development Economic Research (UNU-WIDER).
    8. Adam Brzezinski & Nuno Palma & François R. Velde, 2024. "Understanding Money Using Historical Evidence," Annual Review of Economics, Annual Reviews, vol. 16(1), pages 571-595, August.
    9. Thomas R. Dyckman & Stephen A. Zeff, 2019. "Important Issues in Statistical Testing and Recommended Improvements in Accounting Research," Econometrics, MDPI, vol. 7(2), pages 1-11, May.
    10. Grüner Sven, 2020. "Sample Size Calculation in Economic Experiments," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 240(6), pages 791-823, December.
    11. Youwei Wang & Yuxin Chen & Yi Qian, 2018. "The Causal Link between Relative Age Effect and Entrepreneurship: Evidence from 17 Million Users across 49 Years on Taobao," NBER Working Papers 25318, National Bureau of Economic Research, Inc.
    12. Peter J. Buckley, 2016. "Historical Research Approaches to the Analysis of Internationalisation," Management International Review, Springer, vol. 56(6), pages 879-900, December.
    13. repec:jdm:journl:v:17:y:2022:i:6:p:1176-1207 is not listed on IDEAS
    14. Luke N. Condra & Michael Callen & Radha K. Iyengar & James D. Long & Jacob N. Shapiro, 2019. "Damaging democracy? Security provision and turnout in Afghan elections†," Economics and Politics, Wiley Blackwell, vol. 31(2), pages 163-193, July.
    15. Panos Sousounis & Gauthier Lanot, 2022. "Minimum Wage Effects on Reservation Wages," Journal of Labor Research, Springer, vol. 43(3), pages 415-439, December.
    16. Paolo Pinotti, 0. "The Credibility Revolution in the Empirical Analysis of Crime," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 0, pages 1-14.
    17. Oded Galor & Ömer Özak, 2016. "The Agricultural Origins of Time Preference," American Economic Review, American Economic Association, vol. 106(10), pages 3064-3103, October.
    18. Du, Yao & Sun, Guibo & Heinen, Eva, 2024. "Does subjective wellbeing modify travel behaviour changes among older people in response to a new metro line?," Journal of Transport Geography, Elsevier, vol. 117(C).
    19. Catherine Welch & Eriikka Paavilainen-Mäntymäki & Rebecca Piekkari & Emmanuella Plakoyiannaki, 2022. "Reconciling theory and context: How the case study can set a new agenda for international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(1), pages 4-26, February.
    20. Bravo-Ureta, Boris E. & Higgins, Daniel & Arslan, Aslihan, 2020. "Irrigation infrastructure and farm productivity in the Philippines: A stochastic Meta-Frontier analysis," World Development, Elsevier, vol. 135(C).
    21. Ogundari, Kolawole, 2021. "A systematic review of statistical methods for estimating an education production function," MPRA Paper 105283, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:56:y:2022:i:4:d:10.1007_s11135-021-01188-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.