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1.
J Nurs Meas ; 23(2): 50E-66, 2015.
Article in English | MEDLINE | ID: mdl-26284831

ABSTRACT

BACKGROUND AND PURPOSE: The purpose of this article is to test the requirement of "local independence" in the newly developed "Maternal Health Literacy" (MaHeLi) composite scale measuring health literacy in pregnant adolescents attending antenatal care. METHODS: The 20-item scale was administered to 384 adolescents aged 15-19 years attending antenatal care in Uganda during the period July-December 2013. Rasch analysis was conducted using RUMM2030. RESULTS: Differential item functioning was observed for 3 items. One item had disordered response categories. One subscale brought substantial multidimensionality into the MaHeLi scale. CONCLUSIONS: Results support the use of a 12-item version of the MaHeLi scale. The article shows how Rasch analyses help us to identify violations of local independence in scales.


Subject(s)
Patient Education as Topic , Pregnancy in Adolescence , Prenatal Care , Surveys and Questionnaires , Adolescent , Adolescent Behavior , Adolescent Health Services , Female , Humans , Obstetric Nursing , Pregnancy , Reproducibility of Results , Uganda , Young Adult
2.
J Nurs Meas ; 23(2): 50-66, 2015 Aug 01.
Article in English | MEDLINE | ID: mdl-29025522

ABSTRACT

BACKGROUND AND PURPOSE: The purpose of this article is to test the requirement of "local independence" in the newly developed "Maternal Health Literacy" (MaHeLi) composite scale measuring health literacy in pregnant adolescents attending antenatal care. METHODS: The 20-item scale was administered to 384 adolescents aged 15-19 years attending antenatal care in Uganda during the period July-December 2013. Rasch analysis was conducted using RUMM2030. RESULTS: Differential item functioning was observed for 3 items. One item had disordered response categories. One subscale brought substantial multidimensionality into the MaHeLi scale. CONCLUSIONS: Results support the use of a 12-item version of the MaHeLi scale. The article shows how Rasch analyses help us to identify violations of local independence in scales.

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