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Psychometrically Relevant Differences between Source and Migrant Populations

by Patrick Brzoska (Author)
©2014 Thesis XIV, 128 Pages
Series: Challenges in Public Health, Volume 64

Summary

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.

Table Of Contents

  • Cover
  • Title
  • Copyright
  • About the author(s)/editor(s)
  • About the book
  • This eBook can be cited
  • Table of Contents
  • Tables
  • Figures
  • Abbreviations
  • Summary
  • Zusammenfassung
  • 1. Introduction
  • 2. Questionnaires in migrant health research
  • 2.1 Public health research on migrants in Germany
  • 2.1.1 Demographic and social situation of migrants
  • 2.1.2 Health situation of migrants
  • 2.1.3 The need for survey based research
  • 2.2 Challenges for the application of questionnaires in migrant health research
  • 2.3 Research on illness perceptions
  • 2.3.1 The relevance of illness perceptions
  • 2.3.2 The Revised Illness Perception Questionnaire (IPQ-R)
  • 2.3.3 The application of the IPQ-R in non-English-language populations
  • 2.3.4 Modes of administration of the IPQ-R
  • 2.4 Summary
  • 3. Aims and research components of the investigation
  • 4. An analytical framework of questionnaire equivalence
  • 4.1 Conceptual equivalence
  • 4.2 Semantic equivalence
  • 4.3 Operational equivalence
  • 4.4 Measurement equivalence
  • 4.4.1 Invariance of the covariance matrices
  • 4.4.2 Configural invariance
  • 4.4.3 Metric and scalar invariance
  • 4.4.4 Strict factorial invariance and equality of factor variances
  • 4.4.5 Invariance of factor covariances
  • 4.4.6 Invariance of factor means
  • 4.5 Partial vs. full equivalence
  • 4.6 Hierarchical assessment of equivalence
  • 4.7 Evidence of (partial) non-equivalence
  • 5. Equivalence of the IPQ-R: Methodical approach
  • 5.1 General considerations and overview
  • 5.2 Establishment of the IPQ-R baseline models among Turks residing in Turkey and Turkish migrants residing in Germany
  • 5.2.1 Survey design and data collection procedures
  • 5.2.2 Ethical considerations
  • 5.2.3 Measures
  • 5.2.4 Standardized interview procedure and training of interviewers
  • 5.2.5 Sample size considerations
  • 5.2.6 Data entry and processing
  • 5.2.7 Statistical analysis
  • 5.2.8 Missing values
  • 5.3 Conceptual equivalence
  • 5.3.1 Systematic literature review
  • 5.3.2 Qualitative interviews with patients and experts
  • 5.4 Semantic equivalence
  • 5.4.1 Literature review
  • 5.4.2 Qualitative interviews with Turkish migrants
  • 5.4.3 Expert interviews
  • 5.5 Operational equivalence
  • 5.6 Measurement equivalence
  • 6. Equivalence of the IPQ-R: Empirical results
  • 6.1 Establishment of the IPQ-R baseline models
  • 6.1.1 Baseline model in Turks residing in Turkey
  • Sample description
  • Confirmatory factor analysis of IPQ-R part II items
  • Principal component analysis of IPQ-R part III causal items
  • 6.1.2 Baseline model in Turkish migrants residing in Germany
  • Sample description
  • Confirmatory factor analysis of IPQ-R part II items
  • Principal component analysis of IPQ-R part III causal items
  • 6.2 Examining different components of equivalence
  • 6.2.1 Conceptual equivalence
  • Systematic review of literature
  • Qualitative interviews with patients
  • Expert interviews
  • 6.2.2 Semantic equivalence
  • Systematic review of literature
  • Think-aloud study with Turkish migrant patients
  • Expert interviews
  • 6.2.3 Operational equivalence
  • 6.2.4 Measurement equivalence
  • 6.2.5 Summary
  • 7. What can we learn from the findings?
  • The analytical framework of questionnaire equivalence
  • The factor structure of the Turkish IPQ-R in Turks residing in Turkey and Turkish migrants residing in Germany
  • Equivalence of the Turkish IPQ-R between Turks residing in Turkey and Turkish migrants residing in Germany
  • Strengths and limitation
  • 8. Conclusion, outlook and recommendations for researchers
  • References
  • Challenges in Public Health
  • Series index

| vii →

Tables

Tab. 1: Risk of disability retirement after completion of medical rehabilitation by diagnosis prior to rehabilitation and by nationality

Tab. 2: Example of agglutination in the Turkish language

Tab. 3: Principal component analysis (varimax rotated solution) and internal consistency of IPQ-R part II items among Turkish migrants residing in Germany

Tab. 4: Principal component analysis (varimax rotated solution) and internal consistency of IPQ-R part III items among Turkish migrants residing in Germany

Tab. 5: Overview of the methods used in the two empirical research components of the present study

Tab. 6: Basic characteristics of the sample of Turks residing in Turkey stratified by sex

Tab. 7: Goodness-of-fit indices for the original and three modified models of the Turkish IPQ-R part II among the sample of Turks residing in Turkey

Tab. 8: Results of the confirmatory factor analysis of the modified final (baseline) measurement model (Model 2c: 34 items, 2 error covariances, item 6 respecified) of the Turkish IPQ-R part II in Turks residing in Turkey

Tab. 9: Intercorrelations between the seven latent factors of the Turkish IPQ-R part II in Turks residing in Turkey

Tab. 10: Results of the principal component analysis (varimax rotated solution) of the 13 retained items on causal attributions (Turkish IPQ-R part III) among the sample of Turks residing in Turkey

Tab. 11: Basic characteristics of the sample of Turkish migrants residing in Germany stratified by sex

Tab. 12: Goodness-of-fit indices for the original and three modified models of the Turkish IPQ-R part II among the sample of Turkish migrants residing in Germany

Tab. 13: Results of the confirmatory factor analysis of the modified final (baseline) measurement model of the Turkish IPQ-R part II in Turkish migrants residing in Germany

Tab. 14: Intercorrelations between the six latent factors of the Turkish IPQ-R part II in Turkish migrants residing in Germany

Tab. 15: Results of the principal component analysis (varimax rotated solution) of the16 retained items on causal attributions in the Turkish migrants sample

Tab. 16: Results of the expert interviews on the usability of the IPQ-R part II among Turkish migrants residing in Germany

Tab. 17: Results of the expert interviews on the usability of the IPQ-R part II among Turks residing in Turkey

Tab. 18: Description of the two study samples examined by multi-group confirmatory analysis: Turkish migrants residing in Germany and Turks residing in Turkey ← vii | viii →

Tab. 19: Unstandardized factor loadings and indicator intercepts of the partial scalar invariant model for Turks residing in Turkey and Turkish migrants residing in Germany

Tab. 20: Completely standardized factor covariances of the Turkish IPQ-R part II in Turks residing in Turkey and Turkish migrants residing in Germany; results of the MGCFA factor covariance invariance model

Tab. 21: MGCFA results of the tests of measurement invariance of the IPQ-R part II among Turks residing in Turkey and Turkish migrants residing in Germany

| ix →

Figures

Fig. 1: Population in Germany by migration background in 2011

Fig. 2: Rates of disability retirements by year (a) and age group (b; year 2007) stratified by nationality

Fig. 3: The self-regulatory model of illness

Fig. 4: Association of illness perceptions and attendance to cardiac rehabilitation programs

Fig. 5: Association of illness perceptions and adherence to long-term cardiac therapies

Fig. 6: Schematic overview of the research components of the present investigation

Fig. 7: The components of equivalence

Fig. 8: Hypothetical CFA measurement model with three factors (ξ1 to ξ3) and eight indicator variables (X1 to X8)

Fig. 9: Schematic illustration of scalar invariance (a), metric invariance (b) and metric non-invariance (c)

Fig. 10: Schematic representation of overlapping construct definitions among two populations

Fig. 11: Proposed procedure for the assessment of equivalence in quantitative research

Fig. 12: Introduction used by interviewers for approaching prospective study participants (English translation)

Fig. 13: Original measurement model of the IPQ-R part II

Fig. 14: Baseline model of the Revised Illness Perception Questionnaire (part II) for Turks residing in Turkey

Fig. 15: Scree plot and parallel analysis of IPQ-R part III items among Turks residing in Turkey

Fig. 16: Baseline model of the Revised Illness Perception Questionnaire (part II) for Turkish migrants residing in Germany

Fig. 17: Scree plot and parallel analysis of IPQ-R part III items among Turkish migrants residing in Germany

Details

Pages
XIV, 128
Year
2014
ISBN (PDF)
9783653037661
ISBN (ePUB)
9783653994599
ISBN (MOBI)
9783653994582
ISBN (Softcover)
9783631645727
DOI
10.3726/978-3-653-03766-1
Language
English
Publication date
2014 (February)
Keywords
Illness perceptions Measurement invariance Chronic illness Chronische Krankheiten Health services Gesundheitsleistungen Survey research
Published
Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2014. XIV, 128 S., 21 Tab., 17 Graf.

Biographical notes

Patrick Brzoska (Author)

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 methods.

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