4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Comparing psychotic experiences in low-and-middle-income-countries and high-income-countries with a focus on measurement invariance

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The prevalence of psychotic experiences (PEs) is higher in low-and-middle-income-countries (LAMIC) than in high-income countries (HIC). Here, we examine whether this effect is explicable by measurement bias.

          Methods

          A community sample from 13 countries ( N = 7141) was used to examine the measurement invariance (MI) of a frequently used self-report measure of PEs, the Community Assessment of Psychic Experiences (CAPE), in LAMIC ( n = 2472) and HIC ( n = 4669). The CAPE measures positive (e.g. hallucinations), negative (e.g. avolition) and depressive symptoms. MI analyses were conducted with multiple-group confirmatory factor analyses.

          Results

          MI analyses showed similarities in the structure and understanding of the CAPE factors between LAMIC and HIC. Partial scalar invariance was found, allowing for latent score comparisons. Residual invariance was not found, indicating that sum score comparisons are biased. A comparison of latent scores before and after MI adjustment showed both overestimation (e.g. avolition, d = 0.03 into d = −0.42) and underestimation (e.g. magical thinking, d = −0.03 into d = 0.33) of PE in LAMIC relative to HIC. After adjusting the CAPE for MI, participants from LAMIC reported significantly higher levels on most CAPE factors but a significantly lower level of avolition.

          Conclusion

          Previous studies using sum scores to compare differences across countries are likely to be biased. The direction of the bias involves both over- and underestimation of PEs in LAMIC compared to HIC. Nevertheless, the study confirms the basic finding that PEs are more frequent in LAMIC than in HIC.

          Related collections

          Most cited references44

          • Record: found
          • Abstract: not found
          • Article: not found

          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            lavaan: AnRPackage for Structural Equation Modeling

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance

                Bookmark

                Author and article information

                Contributors
                Journal
                Psychological Medicine
                Psychol. Med.
                Cambridge University Press (CUP)
                0033-2917
                1469-8978
                June 2022
                October 07 2020
                June 2022
                : 52
                : 8
                : 1509-1516
                Article
                10.1017/S0033291720003323
                33023691
                acd84ca6-8d98-4c4b-b984-98ffd08005aa
                © 2022

                https://www.cambridge.org/core/terms

                History

                Comments

                Comment on this article