Testing the discriminant validity of Schwartz' Portrait Value Questionnaire items – A replication and extension of Knoppen and Saris (2009)

Schwartz' theory of ten basic human values has stimulated numerous studies using a variety of instruments. Confirmatory factor analyses (CFA) of the properties of some of the instruments have revealed that three pairs of values were excessively highly correlated. This led Davidov et al. (2008)...

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Main Authors: Constanze Beierlein, Eldad Davidov, Peter Schmidt, Shalom H. Schwartz, Beatrice Rammstedt
Format: Article
Language:English
Published: European Survey Research Association 2012-04-01
Series:Survey Research Methods
Subjects:
Online Access:https://ojs.ub.uni-konstanz.de/srm/article/view/5092
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author Constanze Beierlein
Eldad Davidov
Peter Schmidt
Shalom H. Schwartz
Beatrice Rammstedt
author_facet Constanze Beierlein
Eldad Davidov
Peter Schmidt
Shalom H. Schwartz
Beatrice Rammstedt
author_sort Constanze Beierlein
collection DOAJ
description Schwartz' theory of ten basic human values has stimulated numerous studies using a variety of instruments. Confirmatory factor analyses (CFA) of the properties of some of the instruments have revealed that three pairs of values were excessively highly correlated. This led Davidov et al. (2008) to propose unifying values. To overcome the problems of loss of precision due to unifying distinct values, Knoppen and Saris (2009a,b) investigated the factorial structure of each of the ten values measured with the PVQ (Schwartz et al. 2001). They identified both cross-loadings and distinct sub-dimensions for the pairs of nondiscriminated values in two German student samples. They concluded that the original strategy for selecting items, maximizing theoretical coverage at the expense of item homogeneity, produced the poor discrimination between values. Our Study 1 examines whether the Knoppen and Saris findings generalize to a representative sample of the German population. With some notable exceptions, our findings replicate theirs. Study 2 uses 33 items from an experimental version of the PVQ to operationalize and test a full model of the 11 basic values. Following Knoppen and Saris, we included only one sub-dimension of each of the 11 values. This CFA model yielded a satisfactory fit with no estimation problems. We conclude that available indicators permit measuring the distinct values without the need to collapse factors. Limitations and implications of the research are discussed.
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spelling doaj.art-911fc505ac07460eb642f02cfd6d6efe2022-12-22T03:44:35ZengEuropean Survey Research AssociationSurvey Research Methods1864-33612012-04-016110.18148/srm/2012.v6i1.50924848Testing the discriminant validity of Schwartz' Portrait Value Questionnaire items – A replication and extension of Knoppen and Saris (2009)Constanze BeierleinEldad DavidovPeter SchmidtShalom H. SchwartzBeatrice RammstedtSchwartz' theory of ten basic human values has stimulated numerous studies using a variety of instruments. Confirmatory factor analyses (CFA) of the properties of some of the instruments have revealed that three pairs of values were excessively highly correlated. This led Davidov et al. (2008) to propose unifying values. To overcome the problems of loss of precision due to unifying distinct values, Knoppen and Saris (2009a,b) investigated the factorial structure of each of the ten values measured with the PVQ (Schwartz et al. 2001). They identified both cross-loadings and distinct sub-dimensions for the pairs of nondiscriminated values in two German student samples. They concluded that the original strategy for selecting items, maximizing theoretical coverage at the expense of item homogeneity, produced the poor discrimination between values. Our Study 1 examines whether the Knoppen and Saris findings generalize to a representative sample of the German population. With some notable exceptions, our findings replicate theirs. Study 2 uses 33 items from an experimental version of the PVQ to operationalize and test a full model of the 11 basic values. Following Knoppen and Saris, we included only one sub-dimension of each of the 11 values. This CFA model yielded a satisfactory fit with no estimation problems. We conclude that available indicators permit measuring the distinct values without the need to collapse factors. Limitations and implications of the research are discussed.https://ojs.ub.uni-konstanz.de/srm/article/view/5092Portrait Value Questionnaireconfirmatory factor analysisdiscriminant validityfactor structure
spellingShingle Constanze Beierlein
Eldad Davidov
Peter Schmidt
Shalom H. Schwartz
Beatrice Rammstedt
Testing the discriminant validity of Schwartz' Portrait Value Questionnaire items – A replication and extension of Knoppen and Saris (2009)
Survey Research Methods
Portrait Value Questionnaire
confirmatory factor analysis
discriminant validity
factor structure
title Testing the discriminant validity of Schwartz' Portrait Value Questionnaire items – A replication and extension of Knoppen and Saris (2009)
title_full Testing the discriminant validity of Schwartz' Portrait Value Questionnaire items – A replication and extension of Knoppen and Saris (2009)
title_fullStr Testing the discriminant validity of Schwartz' Portrait Value Questionnaire items – A replication and extension of Knoppen and Saris (2009)
title_full_unstemmed Testing the discriminant validity of Schwartz' Portrait Value Questionnaire items – A replication and extension of Knoppen and Saris (2009)
title_short Testing the discriminant validity of Schwartz' Portrait Value Questionnaire items – A replication and extension of Knoppen and Saris (2009)
title_sort testing the discriminant validity of schwartz portrait value questionnaire items a replication and extension of knoppen and saris 2009
topic Portrait Value Questionnaire
confirmatory factor analysis
discriminant validity
factor structure
url https://ojs.ub.uni-konstanz.de/srm/article/view/5092
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