Use of Item Response Models in Assessing the Health Literacy Facet Understanding Health Information for Early Childhood Allergy Prevention and Prevention of COVID-19 Infections by Pregnant Women and Mothers of Infants

Autor:	Anja Alexandra Schulz, Carolin Dresch, Andrea Heiberger, Markus Antonius Wirtz
Rok vydání:	2022
Předmět:	Clinical Psychology
Zdroj:	Diagnostica. 68:172-183
ISSN:	2190-622X 0012-1924
DOI:	10.1026/0012-1924/a000298
Popis:	Abstract. Appropriate parental health literacy (HL) is essential to preventively maintain and promote child health. Understanding health information is assumed to be fundamental in HL models. We developed N = 67 items (multiple-choice format) based on information materials on early childhood allergy prevention (ECAP) and prevention of COVID-19 infections to assess the parental HL facet Understand. N = 343 pregnant women and mothers of infants completed the items in an online assessment. Using exploratory factor analysis for ordinal data (RML estimation) and item response models (1-pl and 2-pl model), we proved the psychometric homogeneity of the item pool. 57 items assess the latent dimension Understand according to the assumptions of the 1-pl model (weighted MNSQ
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::826c1297b5c8382cd0b34c65d2e0cdaa https://doi.org/10.1026/0012-1924/a000298 Zobrazit plný text záznamu