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Volumn 40, Issue 5, 2015, Pages 477-510

A Multilevel CFA-MTMM Model for Nested Structurally Different Methods

Author keywords

MTMM analysis; multilevel structural equation modeling; structurally different and interchangeable methods

Indexed keywords


EID: 84945303884     PISSN: 10769986     EISSN: 19351054     Source Type: Journal    
DOI: 10.3102/1076998615606109     Document Type: Article
Times cited : (18)

References (56)
  • 2
    • 84863576051 scopus 로고    scopus 로고
    • Validating a self-report screen for adhd in early adulthood using childhood parent and teacher ratings
    • E.B.BrownlieK.LazareJ.Beitchman (2012). Validating a self-report screen for adhd in early adulthood using childhood parent and teacher ratings. Journal of Attention Disorders, 16, 467–477.
    • (2012) Journal of Attention Disorders , vol.16 , pp. 467-477
    • Brownlie, E.B.1    Lazare, K.2    Beitchman, J.3
  • 3
    • 33751224822 scopus 로고
    • Convergent and discriminant validation by the multitrait-multimethod matrix
    • D.T.CampbellD.W.Fiske (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81–105.
    • (1959) Psychological Bulletin , vol.56 , pp. 81-105
    • Campbell, D.T.1    Fiske, D.W.2
  • 4
    • 79953242814 scopus 로고    scopus 로고
    • Analyzing multitrait-mulitmethod data with multilevel confirmatory factor analysis: An application to the validation of the state-trait cheerfulness inventory
    • H.Carretero-DiosM.EidW.Ruch (2011). Analyzing multitrait-mulitmethod data with multilevel confirmatory factor analysis: An application to the validation of the state-trait cheerfulness inventory. Journal of Research in Personality, 45, 153–164.
    • (2011) Journal of Research in Personality , vol.45 , pp. 153-164
    • Carretero-Dios, H.1    Eid, M.2    Ruch, W.3
  • 5
    • 54949095827 scopus 로고    scopus 로고
    • Analyzing the convergent and discriminant validity of states and traits: Development and applications of multimethod latent state-trait models
    • D.S.CourvoisierF.W.NussbeckM.EidC.GeiserD.A.Cole (2008). Analyzing the convergent and discriminant validity of states and traits: Development and applications of multimethod latent state-trait models. Psychological Assessment, 20, 270–280.
    • (2008) Psychological Assessment , vol.20 , pp. 270-280
    • Courvoisier, D.S.1    Nussbeck, F.W.2    Eid, M.3    Geiser, C.4    Cole, D.A.5
  • 6
    • 81455154498 scopus 로고    scopus 로고
    • Is there really a single factor of personality? A multirater approach to the apex of personality
    • E.DanayM.Ziegler (2011). Is there really a single factor of personality? A multirater approach to the apex of personality. Journal of Research in Personality, 45, 560–567.
    • (2011) Journal of Research in Personality , vol.45 , pp. 560-567
    • Danay, E.1    Ziegler, M.2
  • 7
    • 10044281986 scopus 로고    scopus 로고
    • Multitrait-multimethod analysis
    • Brown S.D., Tinsley H.E., (eds), San Diego, CA: Academic Press,,. In, (Eds.),, (pp
    • L.Dumenci (2000). Multitrait-multimethod analysis. In S.D.BrownH.E.Tinsley (Eds.), Handbook of applied multivariate statistics and mathematerial modeling (pp. 583–611). San Diego, CA: Academic Press.
    • (2000) Handbook of applied multivariate statistics and mathematerial modeling , pp. 583-611
    • Dumenci, L.1
  • 8
    • 77952096376 scopus 로고    scopus 로고
    • Correlation between patient and clinician assessments of depression severity in the PREVENT study
    • B.DunlopT.LiS.KornsteinE.FriedmanA.RothschildR.Pedersen…M.Keller (2010). Correlation between patient and clinician assessments of depression severity in the PREVENT study. Psychiatry Research, 177, 177–183.
    • (2010) Psychiatry Research , vol.177 , pp. 177-183
    • Dunlop, B.1    Li, T.2    Kornstein, S.3    Friedman, E.4    Rothschild, A.5    Pedersen, R.6
  • 9
    • 0034345716 scopus 로고    scopus 로고
    • A multitrait-multimethod model with minimal assumptions
    • M.Eid (2000). A multitrait-multimethod model with minimal assumptions. Psychometrika, 65, 241–261.
    • (2000) Psychometrika , vol.65 , pp. 241-261
    • Eid, M.1
  • 10
    • 0041777706 scopus 로고    scopus 로고
    • Separating trait effects from trait-specific method effects in multitrait-multimethod models: A multiple-indicator CT-C(M-1) model
    • M.EidT.LischetzkeF.W.NussbeckL.I.Trierweiler (2003). Separating trait effects from trait-specific method effects in multitrait-multimethod models: A multiple-indicator CT-C(M-1) model. Psychological Methods, 8, 38–60.
    • (2003) Psychological Methods , vol.8 , pp. 38-60
    • Eid, M.1    Lischetzke, T.2    Nussbeck, F.W.3    Trierweiler, L.I.4
  • 11
    • 54549117162 scopus 로고    scopus 로고
    • Structural equation modeling of multitrait-multimethod data: Different models for different types of methods
    • M.EidF.W.NussbeckC.GeiserD.A.ColeM.GollwitzerT.Lischetzke (2008). Structural equation modeling of multitrait-multimethod data: Different models for different types of methods. Psychological Methods, 13, 230–253.
    • (2008) Psychological Methods , vol.13 , pp. 230-253
    • Eid, M.1    Nussbeck, F.W.2    Geiser, C.3    Cole, D.A.4    Gollwitzer, M.5    Lischetzke, T.6
  • 12
    • 33745180593 scopus 로고    scopus 로고
    • Structural equation models for multitrait-multimethod data
    • Eid M., Diener E., (eds), Washington, DC: American Psychological Association,,. In, (Eds.),, (pp
    • M.EidT.LischetzkeF.W.Nussbeck (2006). Structural equation models for multitrait-multimethod data. In M.EidE.Diener (Eds.), Handbook of multimethod measurement in psychology (pp. 283–299). Washington, DC: American Psychological Association.
    • (2006) Handbook of multimethod measurement in psychology , pp. 283-299
    • Eid, M.1    Lischetzke, T.2    Nussbeck, F.W.3
  • 15
    • 84907666585 scopus 로고    scopus 로고
    • Testing for measurement invariance and latent mean differences across methods: Interesting incremental information from multitrait-multimethod studies
    • C.GeiserG.L.BurnsM.Servera (2014). Testing for measurement invariance and latent mean differences across methods: Interesting incremental information from multitrait-multimethod studies. Frontiers in Psychology, 5, 1216.
    • (2014) Frontiers in Psychology , vol.5 , pp. 1216
    • Geiser, C.1    Burns, G.L.2    Servera, M.3
  • 16
    • 43049134823 scopus 로고    scopus 로고
    • On the meaning of the latent variables in the CT-C(M-1) model: A comment on Maydeu-Olivares and Coffman (2006)
    • C.GeiserM.EidF.W.Nussbeck (2008). On the meaning of the latent variables in the CT-C(M-1) model: A comment on Maydeu-Olivares and Coffman (2006). Psychological Methods, 13, 49–57.
    • (2008) Psychological Methods , vol.13 , pp. 49-57
    • Geiser, C.1    Eid, M.2    Nussbeck, F.W.3
  • 17
    • 76449119468 scopus 로고    scopus 로고
    • Analyzing true change in longitudinal multitrait-multimethod studies: Application of a multimethod change model to depression and anxiety in children
    • C.GeiserM.EidF.W.NussbeckD.S.CourvoisierD.A.Cole (2010). Analyzing true change in longitudinal multitrait-multimethod studies: Application of a multimethod change model to depression and anxiety in children. Developmental Psychology, 46, 29–45.
    • (2010) Developmental Psychology , vol.46 , pp. 29-45
    • Geiser, C.1    Eid, M.2    Nussbeck, F.W.3    Courvoisier, D.S.4    Cole, D.A.5
  • 18
    • 84864658895 scopus 로고    scopus 로고
    • A comparison of method effects in two confirmatory factor models for structurally different methods
    • C.GeiserM.EidS.G.WestT.LischetzkeF.W.Nussbeck (2012). A comparison of method effects in two confirmatory factor models for structurally different methods. Structural Equation Modeling, 19, 409–436.
    • (2012) Structural Equation Modeling , vol.19 , pp. 409-436
    • Geiser, C.1    Eid, M.2    West, S.G.3    Lischetzke, T.4    Nussbeck, F.W.5
  • 19
    • 84927564218 scopus 로고    scopus 로고
    • Data-generating mechanisms versus constructively defined latent variables in multitrait-multimethod analysis: A comment on Castro-Schilo, Widaman, and Grimm (2013)
    • C.GeiserT.KochM.Eid (2014). Data-generating mechanisms versus constructively defined latent variables in multitrait-multimethod analysis: A comment on Castro-Schilo, Widaman, and Grimm (2013). Structural Equation Modeling: A Multidisciplinary Journal, 21, 509–523.
    • (2014) Structural Equation Modeling: A Multidisciplinary Journal , vol.21 , pp. 509-523
    • Geiser, C.1    Koch, T.2    Eid, M.3
  • 21
    • 34547858571 scopus 로고    scopus 로고
    • Measurement equivalence of 360-assessment data: Are different raters rating the same constructs?
    • K.M.Hannum (2007). Measurement equivalence of 360-assessment data: Are different raters rating the same constructs?International Journal of Selection and Assessment, 15, 293–301.
    • (2007) International Journal of Selection and Assessment , vol.15 , pp. 293-301
    • Hannum, K.M.1
  • 23
    • 1642493333 scopus 로고    scopus 로고
    • The accuracy of multilevel structural equation modeling with pseudobalanced groups and small samples
    • J.J.HoxC.J.Maas (2001). The accuracy of multilevel structural equation modeling with pseudobalanced groups and small samples. Structural Equation Modeling, 8, 157–174.
    • (2001) Structural Equation Modeling , vol.8 , pp. 157-174
    • Hox, J.J.1    Maas, C.J.2
  • 24
    • 84883641307 scopus 로고    scopus 로고
    • How few countries will do? comparative survey analysis from a Bayesian perspective
    • J.J.HoxR.van de SchootS.Matthijsse (2012). How few countries will do? comparative survey analysis from a Bayesian perspective. Survey Research Methods, 6, 87–93.
    • (2012) Survey Research Methods , vol.6 , pp. 87-93
    • Hox, J.J.1    van de Schoot, R.2    Matthijsse, S.3
  • 28
    • 36248966724 scopus 로고    scopus 로고
    • The consequences of ignoring multilevel data structures in nonhierarchical covariance modeling
    • M.W.Julian (2001). The consequences of ignoring multilevel data structures in nonhierarchical covariance modeling. Structural Equation Modeling, 8, 325–352.
    • (2001) Structural Equation Modeling , vol.8 , pp. 325-352
    • Julian, M.W.1
  • 29
    • 0001283601 scopus 로고
    • An empirical application of confirmatory factor analysis to the multitrait-multimethod matrix
    • D.A.Kenny (1976). An empirical application of confirmatory factor analysis to the multitrait-multimethod matrix. Journal of Experimental Social Psychology, 12, 247–252.
    • (1976) Journal of Experimental Social Psychology , vol.12 , pp. 247-252
    • Kenny, D.A.1
  • 30
    • 0000776117 scopus 로고
    • Analysis of the multitrait-multimethod matrix by confirmatory factor analysis
    • D.A.KennyD.A.Kashy (1992). Analysis of the multitrait-multimethod matrix by confirmatory factor analysis. Psychological Bulletin, 112, 165–172.
    • (1992) Psychological Bulletin , vol.112 , pp. 165-172
    • Kenny, D.A.1    Kashy, D.A.2
  • 32
    • 84945304303 scopus 로고    scopus 로고
    • Multitrait-multimethod-analysis: The psychometric foundation of CFA-MTMM models
    • Irwing P., Booth T., Hughes D., (eds), in press, London, England: John Wiley,,. In, (Eds.)
    • T.KochM.EidK.Lochner (in press). Multitrait-multimethod-analysis: The psychometric foundation of CFA-MTMM models. In P.IrwingT.BoothD.Hughes (Eds.), The Wiley handbook of psychometric testing. London, England: John Wiley.
    • The Wiley handbook of psychometric testing
    • Koch, T.1    Eid, M.2    Lochner, K.3
  • 33
    • 84899697394 scopus 로고    scopus 로고
    • A longitudinal multilevel CFA-MTMM model for interchangeable and structurally different methods
    • T.KochM.SchultzeM.EidC.Geiser (2014). A longitudinal multilevel CFA-MTMM model for interchangeable and structurally different methods. Frontiers in Psychology, 5, 311.
    • (2014) Frontiers in Psychology , vol.5 , pp. 311
    • Koch, T.1    Schultze, M.2    Eid, M.3    Geiser, C.4
  • 36
    • 48449087653 scopus 로고    scopus 로고
    • The multilevel latent covariate model: A new, more reliable approach to group-level effects in contextual studies
    • O.LüdtkeH.MarshA.RobitzschU.TrautweinT.AsparouhovB.Muthén (2008). The multilevel latent covariate model: A new, more reliable approach to group-level effects in contextual studies. Psychological Methods, 13, 203–229.
    • (2008) Psychological Methods , vol.13 , pp. 203-229
    • Lüdtke, O.1    Marsh, H.2    Robitzsch, A.3    Trautwein, U.4    Asparouhov, T.5    Muthén, B.6
  • 37
    • 21144479583 scopus 로고
    • Multitrait-multimethod analyses: Inferring each trait-method combination with multiple indicators
    • H.W.Marsh (1993). Multitrait-multimethod analyses: Inferring each trait-method combination with multiple indicators. Applied Measurement in Education, 6, 49–81.
    • (1993) Applied Measurement in Education , vol.6 , pp. 49-81
    • Marsh, H.W.1
  • 38
    • 84970325691 scopus 로고
    • Confirmatory factor analyses of multitrait-multimethod data: A comparison of alternative models
    • H.W.MarshM.Bailey (1991). Confirmatory factor analyses of multitrait-multimethod data: A comparison of alternative models. Applied Psychological Measurement, 15, 47–70.
    • (1991) Applied Psychological Measurement , vol.15 , pp. 47-70
    • Marsh, H.W.1    Bailey, M.2
  • 39
    • 0001776516 scopus 로고
    • Latent variable models of multitrait-multimethod data
    • Hoyle R.H., (ed), Thousand Oaks, CA: Sage,,. In, (Ed.),, (pp
    • H.W.MarshD.Grayson (1995). Latent variable models of multitrait-multimethod data. In R.H.Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 177–198). Thousand Oaks, CA: Sage.
    • (1995) Structural equation modeling: Concepts, issues, and applications , pp. 177-198
    • Marsh, H.W.1    Grayson, D.2
  • 40
    • 0000922312 scopus 로고
    • A new, more powerful approach to multitrait-multimethod analyses: Application of second-order confirmatory factor analysis
    • H.W.MarshD.Hocevar (1988). A new, more powerful approach to multitrait-multimethod analyses: Application of second-order confirmatory factor analysis. Journal of Applied Psychology, 73, 107–117.
    • (1988) Journal of Applied Psychology , vol.73 , pp. 107-117
    • Marsh, H.W.1    Hocevar, D.2
  • 41
    • 84965569319 scopus 로고
    • Multilevel covariance structure analysis
    • B.O.Muthén (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22, 376–398.
    • (1994) Sociological Methods & Research , vol.22 , pp. 376-398
    • Muthén, B.O.1
  • 42
    • 84873047637 scopus 로고    scopus 로고
    • Bayesian structural equation modeling: A more flexible representation of substantive theory
    • B.MuthénT.Asparouhov (2012). Bayesian structural equation modeling: A more flexible representation of substantive theory. Psychological Methods, 17, 313–335.
    • (2012) Psychological Methods , vol.17 , pp. 313-335
    • Muthén, B.1    Asparouhov, T.2
  • 44
    • 0345040656 scopus 로고    scopus 로고
    • How to use a Monte Carlo study to decide on sample size and determine power
    • L.K.MuthénB.O.Muthén (2002). How to use a Monte Carlo study to decide on sample size and determine power. Structural Equation Modeling, 9, 599–620.
    • (2002) Structural Equation Modeling , vol.9 , pp. 599-620
    • Muthén, L.K.1    Muthén, B.O.2
  • 45
    • 77951162550 scopus 로고    scopus 로고
    • Modeling common traits and method effects in multitrait-multimethod analysis
    • S.PohlR.Steyer (2010). Modeling common traits and method effects in multitrait-multimethod analysis. Multivariate Behavioral Research, 45, 45–72.
    • (2010) Multivariate Behavioral Research , vol.45 , pp. 45-72
    • Pohl, S.1    Steyer, R.2
  • 47
    • 0003217529 scopus 로고
    • Corrections to test statistics and standard errors in covariance structure analysis
    • von Eye A., Clogg C., (eds), Thousand Oaks, CA: Sage,,. In, (Eds.),, (pp
    • A.SatorraP.M.Bentler (1994). Corrections to test statistics and standard errors in covariance structure analysis. In A.von EyeC.Clogg (Eds.), Latent variables analysis: Applications for developmental research (pp. 399–419). Thousand Oaks, CA: Sage.
    • (1994) Latent variables analysis: Applications for developmental research , pp. 399-419
    • Satorra, A.1    Bentler, P.M.2
  • 48
    • 0035543521 scopus 로고    scopus 로고
    • A scaled difference chi-square test statistic for moment structure analysis
    • A.SatorraP.M.Bentler (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66, 507–514.
    • (2001) Psychometrika , vol.66 , pp. 507-514
    • Satorra, A.1    Bentler, P.M.2
  • 49
    • 2542544411 scopus 로고    scopus 로고
    • Decomposing person and occasion-specific effects: An extension of latent state-trait (LST) theory to hierarchical LST models
    • K.Schermelleh-EngelN.KeithH.MoosbruggerV.Hodapp (2004). Decomposing person and occasion-specific effects: An extension of latent state-trait (LST) theory to hierarchical LST models. Psychological Methods, 9, 198.
    • (2004) Psychological Methods , vol.9 , pp. 198
    • Schermelleh-Engel, K.1    Keith, N.2    Moosbrugger, H.3    Hodapp, V.4
  • 50
    • 84930572250 scopus 로고    scopus 로고
    • The effects of non-independent rater sets in multilevel-multitrait-multimethod models
    • M.SchultzeT.KochM.Eid (2015). The effects of non-independent rater sets in multilevel-multitrait-multimethod models. Structural Equation Modeling, 22, 439–448.
    • (2015) Structural Equation Modeling , vol.22 , pp. 439-448
    • Schultze, M.1    Koch, T.2    Eid, M.3
  • 52
  • 53
    • 0000095552 scopus 로고
    • A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity
    • H.White (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48, 817–838.
    • (1980) Econometrica , vol.48 , pp. 817-838
    • White, H.1
  • 54
    • 84965470374 scopus 로고
    • Hierarchically nested covariance structure models for multitrait-multimethod data
    • K.F.Widaman (1985). Hierarchically nested covariance structure models for multitrait-multimethod data. Applied Psychological Measurement, 9, 1–26.
    • (1985) Applied Psychological Measurement , vol.9 , pp. 1-26
    • Widaman, K.F.1
  • 55
    • 84924585010 scopus 로고    scopus 로고
    • Student–teacher congruence in reported rates of physical and relational victimization among elementary-school-age children: The moderating role of gender and age
    • A.WillifordP.J.FiteJ.L.Cooley (2015). Student–teacher congruence in reported rates of physical and relational victimization among elementary-school-age children: The moderating role of gender and age. Journal of School Violence, 14, 177–195.
    • (2015) Journal of School Violence , vol.14 , pp. 177-195
    • Williford, A.1    Fite, P.J.2    Cooley, J.L.3
  • 56
    • 85135973608 scopus 로고
    • Covariance components analysis of the multitrait-multimethod matrix
    • Shrout P.E., Fiske S.T., (eds), Hillsdale, NJ: Lawrence Erlbaum,,. In, (Eds.),, (pp
    • W.Wothke (1995). Covariance components analysis of the multitrait-multimethod matrix. In P.E.ShroutS.T.Fiske (Eds.), Personality research, methods, and theory: A festschrift honoring Donald W. Fiske (pp. 125–144). Hillsdale, NJ: Lawrence Erlbaum.
    • (1995) Personality research, methods, and theory: A festschrift honoring Donald W. Fiske , pp. 125-144
    • Wothke, W.1


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