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Subsample analysis in structural equation modelling example from customer satisfaction modelling in banking industry

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dc.title Subsample analysis in structural equation modelling example from customer satisfaction modelling in banking industry en
dc.contributor.author Homolka, Lubor
dc.contributor.author Belás, Jaroslav
dc.contributor.author Doležal, Jiří
dc.relation.ispartof Finance and Performance of Firms in Science, Education and Practice 2015
dc.identifier.isbn 978-80-7454-482-8
dc.date.issued 2015
dc.citation.spage 400
dc.citation.epage 408
dc.event.title 7th International Scientific Conference on Finance and Performance of Firms in Science, Education and Practice
dc.event.location Zlín
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2015-04-23
dc.event.edate 2015-04-24
dc.type conferenceObject
dc.language.iso en
dc.publisher Univerzita Tomáše Bati ve Zlíně (UTB)
dc.publisher Tomas Bata University in Zlín en
dc.relation.uri https://web.archive.org/web/20180722041033/http://www.ufu.utb.cz/konference/sbornik2015.pdf
dc.subject customer satisfaction en
dc.subject Structural Equation Modelling en
dc.subject factor analysis en
dc.subject sub-sample analysis en
dc.description.abstract This paper stresses the importance of sub-sample analysis in the context of Structural Equation Modelling. Based on original survey on 459 banking customers, structural model of latent variables pricing policy, individual approach to customer and customer satisfaction was investigated with respect to sex groups. We've found that pattern of females' answers is inconsistent with economic theory-driven expectations and differ a lot from answers obtained from male subsample. Combining both subsets resulted in expected behaviour pattern -this was the problem we've decided to analyse. We show that although overall model exhibit good fit characteristics, results cannot be generalised on both sexes. This is because of different values of estimated coefficients and their corresponding standard errors on subgroups. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1006475
utb.identifier.obdid 43873358
utb.identifier.wok 000374107300030
utb.source d-wok
dc.date.accessioned 2016-07-26T14:58:37Z
dc.date.available 2016-07-26T14:58:37Z
utb.contributor.internalauthor Homolka, Lubor
utb.contributor.internalauthor Belás, Jaroslav
utb.contributor.internalauthor Doležal, Jiří
utb.fulltext.affiliation Lubor Homolka, Jaroslav Belás, Jiří Doležal Tomas Baťa University, FaME, Department of Statistics and Quantitative Methods Mostní 5139, 760 01 Zlín Email: homolka@fame.utb.cz Tomas Baťa University, FaME, Department of Statistics and Quantitative Methods Mostní 5139, 760 01 Zlín Email: belas@fame.utb.cz Tomas Baťa University, FaME Mostní 5139, 760 01 Zlín Email: j2_dolezal@fame.utb.cz
utb.fulltext.dates -
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.ou Department of Statistics and Quantitative Methods
utb.fulltext.ou Department of Statistics and Quantitative Methods
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