View in EDS

Structural Equation Modelling of Multiple Facet Data: Extending Models for Multitrait-Multimethod Data

Saved in:
Bibliographic Details
Title: Structural Equation Modelling of Multiple Facet Data: Extending Models for Multitrait-Multimethod Data
Language: English
Authors: Bechger, Timo M., Maris, Gunter
Source: Psicologica: International Journal of Methodology and Experimental Psychology. 2004 25(2):253-274.
Availability: University of Valencia. Dept. Metodologia, Facultad de Psicologia, Avda. Blasco Ibanez 21, 46010 Valencia, Spain. Tel: +34-96-386-4100; Web site: http://www.uv.es/revispsi/
Peer Reviewed: Y
Physical Description: PDF
Page Count: 22
Publication Date: 2004
Document Type: Journal Articles
Reports - Descriptive
Descriptors: Structural Equation Models, Multitrait Multimethod Techniques, Schematic Studies, Correlation, Mathematical Models, Matrices, Statistical Analysis, Measurement Objectives, Measurement Techniques, Item Sampling, Scientific Principles, Experimental Psychology, Scientific Methodology, Evaluation Methods
ISSN: 0211-2159
Abstract: This paper is about the structural equation modelling of quantitative measures that are obtained from a multiple facet design. A facet is simply a set consisting of a finite number of elements. It is assumed that measures are obtained by combining each element of each facet. Methods and traits are two such facets, and a multitrait-multimethod study is a two-facet design. We extend models that were proposed for multitrait-multimethod data by Wothke (1984;1996) and Browne (1984, 1989, 1993), and demonstrate how they can be fitted using standard software for structural equation modelling. Each model is derived from the model for individual measurements in order to clarify the first principles underlying each model. (Contains 1 footnote and 1 figure.)
Abstractor: As Provided
Number of References: 37
Entry Date: 2009
Accession Number: EJ848310
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ848310
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: EJ848310
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Structural Equation Modelling of Multiple Facet Data: Extending Models for Multitrait-Multimethod Data
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Bechger%2C+Timo+M%2E%22">Bechger, Timo M.</searchLink><br /><searchLink fieldCode="AR" term="%22Maris%2C+Gunter%22">Maris, Gunter</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Psicologica%3A+International+Journal+of+Methodology+and+Experimental+Psychology%22"><i>Psicologica: International Journal of Methodology and Experimental Psychology</i></searchLink>. 2004 25(2):253-274.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: University of Valencia. Dept. Metodologia, Facultad de Psicologia, Avda. Blasco Ibanez 21, 46010 Valencia, Spain. Tel: +34-96-386-4100; Web site: http://www.uv.es/revispsi/
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: PhysDesc
  Label: Physical Description
  Group: PhysDesc
  Data: PDF
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 22
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2004
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Descriptive
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Structural+Equation+Models%22">Structural Equation Models</searchLink><br /><searchLink fieldCode="DE" term="%22Multitrait+Multimethod+Techniques%22">Multitrait Multimethod Techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Schematic+Studies%22">Schematic Studies</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+Models%22">Mathematical Models</searchLink><br /><searchLink fieldCode="DE" term="%22Matrices%22">Matrices</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Analysis%22">Statistical Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+Objectives%22">Measurement Objectives</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+Techniques%22">Measurement Techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Item+Sampling%22">Item Sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+Principles%22">Scientific Principles</searchLink><br /><searchLink fieldCode="DE" term="%22Experimental+Psychology%22">Experimental Psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+Methodology%22">Scientific Methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+Methods%22">Evaluation Methods</searchLink>
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 0211-2159
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper is about the structural equation modelling of quantitative measures that are obtained from a multiple facet design. A facet is simply a set consisting of a finite number of elements. It is assumed that measures are obtained by combining each element of each facet. Methods and traits are two such facets, and a multitrait-multimethod study is a two-facet design. We extend models that were proposed for multitrait-multimethod data by Wothke (1984;1996) and Browne (1984, 1989, 1993), and demonstrate how they can be fitted using standard software for structural equation modelling. Each model is derived from the model for individual measurements in order to clarify the first principles underlying each model. (Contains 1 footnote and 1 figure.)
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: Ref
  Label: Number of References
  Group: RefInfo
  Data: 37
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2009
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ848310
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ848310
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 22
        StartPage: 253
    Subjects:
      – SubjectFull: Structural Equation Models
        Type: general
      – SubjectFull: Multitrait Multimethod Techniques
        Type: general
      – SubjectFull: Schematic Studies
        Type: general
      – SubjectFull: Correlation
        Type: general
      – SubjectFull: Mathematical Models
        Type: general
      – SubjectFull: Matrices
        Type: general
      – SubjectFull: Statistical Analysis
        Type: general
      – SubjectFull: Measurement Objectives
        Type: general
      – SubjectFull: Measurement Techniques
        Type: general
      – SubjectFull: Item Sampling
        Type: general
      – SubjectFull: Scientific Principles
        Type: general
      – SubjectFull: Experimental Psychology
        Type: general
      – SubjectFull: Scientific Methodology
        Type: general
      – SubjectFull: Evaluation Methods
        Type: general
    Titles:
      – TitleFull: Structural Equation Modelling of Multiple Facet Data: Extending Models for Multitrait-Multimethod Data
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Bechger, Timo M.
      – PersonEntity:
          Name:
            NameFull: Maris, Gunter
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2004
          Identifiers:
            – Type: issn-print
              Value: 0211-2159
          Numbering:
            – Type: volume
              Value: 25
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Psicologica: International Journal of Methodology and Experimental Psychology
              Type: main
ResultId 1