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Validation of a pregnancy planning measure for Arabic-speaking women

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  • Eman Almaghaslah
  • Roger Rochat
  • Ghada Farhat

Abstract

Background: The prevalence of unplanned pregnancy in Saudi Arabia has not been thoroughly investigated. Objective: To conduct a psychometric evaluation study of the Arabic version of the London Measure of Unplanned Pregnancy (LMUP). Methods: To evaluate the psychometric properties of the LMUP, we conducted a self-administered online survey among 796 ever-married Saudi women aged 20–49 years, and a re-test survey among 24 women. The psychometric properties evaluated included content validity measured by content validity index (CVI), structural validity assessed by exploratory factor analysis (EFA), substantive validity assessed by hypothesis testing, contextual stability for the test-retest assessed by weighted Kappa, and internal consistency assessed by Cronbach’s alpha. Results: The psychometric analysis of the Arabic version of LMUP exhibited valid and reliable properties. The CVIs for individual items and at the scale level were >0.7. EFA confirmed a unidimensional extraction of the scale item. Hypothesis testing confirmed expected associations. The tool was stable with weighted kappa = 0.78 and Cronbach’s alpha = 0.88. Conclusion and recommendations: In this study, the validity and reliability of the Arabic version of the LMUP were confirmed according to well-known psychometric criteria. This LMUP version can be used in research studies among Arabic-speaking women to measure unplanned pregnancy and investigate correlates and outcomes related to unplanned pregnancy.

Suggested Citation

  • Eman Almaghaslah & Roger Rochat & Ghada Farhat, 2017. "Validation of a pregnancy planning measure for Arabic-speaking women," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-16, October.
  • Handle: RePEc:plo:pone00:0185433
    DOI: 10.1371/journal.pone.0185433
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    References listed on IDEAS

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    1. Corinne Rocca & Suneeta Krishnan & Geraldine Barrett & Mark Wilson, 2010. "Measuring pregnancy planning," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 23(11), pages 293-334.
    2. Warren Miller & Jo Jones & David Pasta, 2016. "An implicit ambivalence-indifference dimension of childbearing desires in the National Survey of Family Growth," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(7), pages 203-242.
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    Cited by:

    1. Joline Goossens & Sofie Verhaeghe & Ann Van Hecke & Geraldine Barrett & Ilse Delbaere & Dimitri Beeckman, 2018. "Psychometric properties of the Dutch version of the London Measure of Unplanned Pregnancy in women with pregnancies ending in birth," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-15, April.
    2. Adina Y Lang & Jennifer A Hall & Jacqueline A Boyle & Cheryce L Harrison & Helena Teede & Lisa J Moran & Geraldine Barrett, 2019. "Validation of the London Measure of Unplanned Pregnancy among pregnant Australian women," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-14, August.

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