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A Rasch Re-Analysis of the Partnership Questionnaire

Author

Listed:
  • Sören Kliem
  • Johannes Beller
  • Christoph Kröger
  • Yve Stöbel-Richter
  • Kurt Hahlweg
  • Elmar Brähler

Abstract

The Partnership Questionnaire (PFB) is used favorably in the German language area to measure partnership quality. The goal of the present study is to re-analyze the subscales of the PFB ( Conflict Behavior, Tenderness, Communication ) via the Rasch model. Polytomous and dichotomous Rasch models were calculated in a population sample ( N = 1,123) and a student-based cross-validation sample ( N = 250) for the three subscales of the PFB. Final models were chosen based on several fit criteria. Good to very good model fit was obtained with symmetrical (Conflict Behavior) or nonsymmetrical (Tenderness, Communication) dichotomously collapsed categories. After adapting the instruction and dichotomizing the categories, the PFB can be used as a checklist ( PFB-checklist ). An additional cross-validation is needed to substantiate the obtained results.

Suggested Citation

  • Sören Kliem & Johannes Beller & Christoph Kröger & Yve Stöbel-Richter & Kurt Hahlweg & Elmar Brähler, 2015. "A Rasch Re-Analysis of the Partnership Questionnaire," SAGE Open, , vol. 5(2), pages 21582440155, June.
    • Handle: RePEc:sae:sagope:v:5:y:2015:i:2:p:2158244015588958
    DOI: 10.1177/2158244015588958
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    References listed on IDEAS

    as
    1. Mair, Patrick & Hatzinger, Reinhold, 2007. "Extended Rasch Modeling: The eRm Package for the Application of IRT Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 20(i09).
    2. Erling Andersen, 1973. "A goodness of fit test for the rasch model," Psychometrika, Springer;The Psychometric Society, vol. 38(1), pages 123-140, March.
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    Cited by:

    1. Noor Hidayah Che Lah & Zaidatun Tasir & Nurul Farhana Jumaat, 2022. "An Evaluation of the Online Social Learning Environment Instrument (OSLEI) Using Rasch Model Analysis," SAGE Open, , vol. 12(2), pages 21582440221, June.
    2. Krammer, Georg, 2019. "The Andersen likelihood ratio test with a random split criterion lacks power," OSF Preprints gu8sq, Center for Open Science.

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