Psychometrically Relevant Differences between Source and Migrant Populations by Patrick BrzoskaPsychometrically Relevant Differences between Source and Migrant Populations by Patrick Brzoska

Psychometrically Relevant Differences between Source and Migrant Populations

byPatrick Brzoska

Paperback | March 11, 2014

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Psychometrically relevant population differences may limit the transferability of research instruments between migrants and their source population and may contribute to a low performance of quantitative questionnaires. Based on a review of existing taxonomies, this book develops a comprehensive analytical framework of equivalence that can serve multiple purposes. It allows to examine psychometrically relevant population differences, it can assist in the re-adaptation of questionnaires and it is a valuable tool for cross-group comparative research. The application of the framework is illustrated through the examination of equivalence of the Revised Illness Perception Questionnaire (IPQ-R) between chronically ill Turks residing in Turkey and Turkish migrants residing in Germany.
Patrick Brzoska is a researcher at the Department of Epidemiology & International Public Health at the Faculty of Health Sciences, School of Public Health at Bielefeld University (Germany). His research interests comprise social epidemiology, migrant health, health services research and the development of epidemiological research metho...
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Title:Psychometrically Relevant Differences between Source and Migrant PopulationsFormat:PaperbackDimensions:8.27 × 5.83 × 0.68 inPublished:March 11, 2014Publisher:Peter Lang GmbH, Internationaler Verlag der WissenschaftenLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3631645724

ISBN - 13:9783631645727

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Table of Contents

Contents: Surveys and Questionnaires in Migrant Health Research – Research on Illness Perceptions – The Revised Illness Perception Questionnaire – An Analytical Framework of Questionnaire Equivalence – Hierarchical Assessment of Equivalence – Measurement Invariance.