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When size matters: advantages of weighted effect coding in observational studies

Author

Listed:
  • Manfred Grotenhuis

    (Radboud University)

  • Ben Pelzer

    (Radboud University)

  • Rob Eisinga

    (Radboud University)

  • Rense Nieuwenhuis

    (Stockholm University)

  • Alexander Schmidt-Catran

    (University of Cologne)

  • Ruben Konig

    (Radboud University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Manfred Grotenhuis & Ben Pelzer & Rob Eisinga & Rense Nieuwenhuis & Alexander Schmidt-Catran & Ruben Konig, 2017. "When size matters: advantages of weighted effect coding in observational studies," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(1), pages 163-167, January.
    • Handle: RePEc:spr:ijphth:v:62:y:2017:i:1:d:10.1007_s00038-016-0901-1
    DOI: 10.1007/s00038-016-0901-1
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    References listed on IDEAS

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    1. Joe Hirschberg & Jenny Lye, 2001. "The interpretation of multiple dummy variable coefficients: an application to industry effects in wage equations," Applied Economics Letters, Taylor & Francis Journals, vol. 8(11), pages 701-707.
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    Cited by:

    1. Schmid, Basil & Jokubauskaite, Simona & Aschauer, Florian & Peer, Stefanie & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2019. "A pooled RP/SP mode, route and destination choice model to investigate mode and user-type effects in the value of travel time savings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 262-294.
    2. Heisig, Jan Paul & Schaeffer, Merlin, 2019. "Why You Should Always Include a Random Slope for the Lower-Level Variable Involved in a Cross-Level Interaction," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 35(2), pages 258-279.
    3. Jeremy D. Gretton & Ethan A. Meyers & Alexander C. Walker & Jonathan A. Fugelsang & Derek J. Koehler, 2021. "A brief forewarning intervention overcomes negative effects of salient changes in COVID-19 guidance," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(6), pages 1549-1574, November.
    4. Heisig, Jan Paul & Schaeffer, Merlin, 2018. "Why You Should Always Include a Random Slope for the Lower-Level Variable Involved in a Cross-Level Interaction," SocArXiv bwqtd, Center for Open Science.
    5. Birney, Damian P. & Beckmann, Jens F. & Beckmann, Nadin & Double, Kit S. & Whittingham, Karen, 2018. "Moderators of learning and performance trajectories in microworld simulations: Too soon to give up on intellect!?," Intelligence, Elsevier, vol. 68(C), pages 128-140.
    6. Frauke Meyer & Hawal Shamon & Stefan Vögele, 2022. "Dynamics and Heterogeneity of Environmental Attitude, Willingness and Behavior in Germany from 1993 to 2021," Sustainability, MDPI, vol. 14(23), pages 1-22, December.
    7. repec:cup:judgdm:v:16:y:2021:i:6:p:1549-1574 is not listed on IDEAS

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