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Using Rasch Modeling to Re-Evaluate Rapid Malaria Diagnosis Test Analyses

Author

Listed:
  • Dawit G. Ayele

    (School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, Private Bag X01, Scottsville 3209, South Africa)

  • Temesgen Zewotir

    (School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, Private Bag X01, Scottsville 3209, South Africa
    These authors contributed equally to this work.)

  • Henry Mwambi

    (School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, Private Bag X01, Scottsville 3209, South Africa
    These authors contributed equally to this work.)

Abstract

The objective of this study was to demonstrate the use of the Rasch model by assessing the appropriateness of the demographic, social-economic and geographic factors in providing a total score in malaria RDT in accordance with the model’s expectations. The baseline malaria indicator survey was conducted in Amhara, Oromiya and Southern Nation Nationalities and People (SNNP) regions of Ethiopia by The Carter Center in 2007. The result shows high reliability and little disordering of thresholds with no evidence of differential item functioning.

Suggested Citation

  • Dawit G. Ayele & Temesgen Zewotir & Henry Mwambi, 2014. "Using Rasch Modeling to Re-Evaluate Rapid Malaria Diagnosis Test Analyses," IJERPH, MDPI, vol. 11(7), pages 1-11, June.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:7:p:6681-6691:d:37543
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    References listed on IDEAS

    as
    1. Jean-Benoit Hardouin, 2007. "Rasch analysis: Estimation and tests with raschtest," Stata Journal, StataCorp LP, vol. 7(1), pages 22-44, February.
    2. Rizopoulos, Dimitris, 2006. "ltm: An R Package for Latent Variable Modeling and Item Response Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 17(i05).
    Full references (including those not matched with items on IDEAS)

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