메뉴 건너뛰기




Volumn 21, Issue 4, 2014, Pages 524-533

Toward Improving the Modeling of MTMM Data: A Response to Geiser, Koch, and Eid (2014)

Author keywords

construct validity; CT C(M 1) model; CT CM model; multitrait multimethod (MTMM) analysis; structural equation modeling

Indexed keywords

STATISTICAL METHODS;

EID: 84927511870     PISSN: 10705511     EISSN: 15328007     Source Type: Journal    
DOI: 10.1080/10705511.2014.919818     Document Type: Article
Times cited : (4)

References (11)
  • 1
    • 33845683710 scopus 로고    scopus 로고
    • Clinical psychology: Construct validation with multiple sources of information and multiple settings
    • Eid M., Diener E., (eds), In, Eds., pp., Washington, DC: American Psychological Association
    • Burns, G. L., & Haynes, S. N. (2006). Clinical psychology: Construct validation with multiple sources of information and multiple settings. In M. Eid, & E. Diener (Eds.), Handbook of multimethod measurement in psychology (pp. 401–418). Washington, DC: American Psychological Association.
    • (2006) Handbook of multimethod measurement in psychology , pp. 401-418
    • Burns, G.L.1    Haynes, S.N.2
  • 2
    • 33751224822 scopus 로고
    • Convergent and discriminant validation by the multitrait–multimethod matrix
    • Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait–multimethod matrix. Psychological Bulletin, 56, 81–105. doi:10.1037/h0046016
    • (1959) Psychological Bulletin , vol.56 , pp. 81-105
    • Campbell, D.T.1    Fiske, D.W.2
  • 3
    • 84876261877 scopus 로고    scopus 로고
    • Neglect the structure of multitrait–multimethod data at your peril: Implications for associations with external variables
    • Castro-Schilo, L., Widaman, K. F., & Grimm, K. J. (2013). Neglect the structure of multitrait–multimethod data at your peril: Implications for associations with external variables. Structural Equation Modeling, 20, 181–207. doi:10.1080/10705511.2013.769385
    • (2013) Structural Equation Modeling , vol.20 , pp. 181-207
    • Castro-Schilo, L.1    Widaman, K.F.2    Grimm, K.J.3
  • 4
    • 0034345716 scopus 로고    scopus 로고
    • A multitrait–multimethod model with minimal assumptions
    • Eid, M. (2000). A multitrait–multimethod model with minimal assumptions. Psychometrika, 65, 241–261. doi:10.1007/BF02294377
    • (2000) Psychometrika , vol.65 , pp. 241-261
    • Eid, M.1
  • 5
    • 43049134823 scopus 로고    scopus 로고
    • On the meaning of the latent variables in the CT–C(M–1) model: A comment on Maydeu-Olivares & Coffman (2006)
    • Geiser, C., Eid, M., & Nussbeck, F. W. (2008). On the meaning of the latent variables in the CT–C(M–1) model: A comment on Maydeu-Olivares & Coffman (2006). Psychological Methods, 13, 49–57. doi:10.1037/1082-989X.13.1.49
    • (2008) Psychological Methods , vol.13 , pp. 49-57
    • Geiser, C.1    Eid, M.2    Nussbeck, F.W.3
  • 6
    • 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)
    • Geiser, C., Koch, T., & Eid, M. (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
  • 7
    • 0141575337 scopus 로고
    • Controlling correlational bias via confirmatory factor analysis of MTMM data
    • Graham, J. W., & Collins, N. L. (1991). Controlling correlational bias via confirmatory factor analysis of MTMM data. Multivariate Behavioral Research, 26, 607–629.
    • (1991) Multivariate Behavioral Research , vol.26 , pp. 607-629
    • Graham, J.W.1    Collins, N.L.2
  • 8
    • 21344485785 scopus 로고
    • Identification with deficient rank loading matrices in confirmatory factor analysis: Multitrait–multimethod models
    • Grayson, D., & Marsh, H. W. (1994). Identification with deficient rank loading matrices in confirmatory factor analysis: Multitrait–multimethod models. Psychometrika, 59, 121–134.
    • (1994) Psychometrika , vol.59 , pp. 121-134
    • Grayson, D.1    Marsh, H.W.2
  • 9
    • 0027636564 scopus 로고
    • The problem of equivalent models in applications of covariance structure analysis
    • MacCallum, R. C., Wegener, D. T., Uchino, B. N., & Fabrigar, L. R. (1993). The problem of equivalent models in applications of covariance structure analysis. Psychological Bulletin, 114, 185–199. doi:10.1037/0033-2909.114.1.185
    • (1993) Psychological Bulletin , vol.114 , pp. 185-199
    • MacCallum, R.C.1    Wegener, D.T.2    Uchino, B.N.3    Fabrigar, L.R.4
  • 10
    • 0000922312 scopus 로고
    • A new, more powerful approach to multitrait–multimethod analyses: Application of second-order confirmatory factor analysis
    • Marsh, H. W., & Hocevar, D. (1988). A new, more powerful approach to multitrait–multimethod analyses: Application of second-order confirmatory factor analysis. Journal of Applied Psychology, 73, 107–117. doi:10.1037/0021-9010.73.1.107
    • (1988) Journal of Applied Psychology , vol.73 , pp. 107-117
    • Marsh, H.W.1    Hocevar, D.2
  • 11
    • 33845609633 scopus 로고    scopus 로고
    • Random intercept item factor analysis
    • Maydeu-Olivares, A., & Coffman, D. L. (2006). Random intercept item factor analysis. Psychological Methods, 11, 344–362. doi:10.1037/1082-989X.11.4.344
    • (2006) Psychological Methods , vol.11 , pp. 344-362
    • Maydeu-Olivares, A.1    Coffman, D.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.