메뉴 건너뛰기




Volumn 25, Issue 2, 2018, Pages 179-200

Analyzing Different Types of Moderated Method Effects in Confirmatory Factor Models for Structurally Different Methods

Author keywords

CTC(M 1) model; latent difference model; latent moderation analysis; structurally different methods

Indexed keywords

MATHEMATICAL MODELS; STATISTICAL METHODS;

EID: 85032012308     PISSN: 10705511     EISSN: 15328007     Source Type: Journal    
DOI: 10.1080/10705511.2017.1373595     Document Type: Article
Times cited : (13)

References (43)
  • 2
    • 84949640289 scopus 로고    scopus 로고
    • The standardization of linear and nonlinear effects in direct and indirect applications of structural equation mixture models for normal and nonnormal data
    • Brandt, H., Umbach, N., & Kelava, A., (2015). The standardization of linear and nonlinear effects in direct and indirect applications of structural equation mixture models for normal and nonnormal data. Frontiers in Psychology, 6, 1–13. doi:10.3389/fpsyg.2015.01813
    • (2015) Frontiers in Psychology , vol.6 , pp. 1-13
    • Brandt, H.1    Umbach, N.2    Kelava, A.3
  • 4
    • 10044281986 scopus 로고    scopus 로고
    • Multitrait–multimethod analysis
    • Brown S.D., Tinsley H.E., (eds), San Diego, CA: Academic,. In, (Eds
    • Dumenci, L., (2000). Multitrait–multimethod analysis. In S. D., Brown & H. E., Tinsley (Eds.), Handbook of applied multivariate statistics and mathematerial modeling (pp. 583–611). San Diego, CA: Academic.
    • (2000) Handbook of applied multivariate statistics and mathematerial modeling , pp. 583-611
    • Dumenci, L.1
  • 5
    • 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
  • 6
    • 84981350731 scopus 로고    scopus 로고
    • Measuring method effects: From traditional to design-oriented approaches
    • Eid, M., Geiser, C., & Koch, T., (2016). Measuring method effects: From traditional to design-oriented approaches. Current Directions in Psychological Science, 25, 275–280. doi:10.1177/0963721416649624
    • (2016) Current Directions in Psychological Science , vol.25 , pp. 275-280
    • Eid, M.1    Geiser, C.2    Koch, T.3
  • 7
    • 33745180593 scopus 로고    scopus 로고
    • Structural equation models for multitrait–multimethod data
    • Eid M., Diener E., (eds), Washington, DC: American Psychological Association, &,. In, (Eds
    • Eid, M., Lischetzke, T., & Nussbeck, F., (2006). Structural equation models for multitrait–multimethod data. In M., Eid & E., Diener (Eds.), Handbook of multimethod measurement in psychology (pp. 289–299). Washington, DC: American Psychological Association.
    • (2006) Handbook of multimethod measurement in psychology , pp. 289-299
    • Eid, M.1    Lischetzke, T.2    Nussbeck, F.3
  • 8
    • 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
    • Eid, M., Lischetzke, T., Nussbeck, F. W., & Trierweiler, L. I., (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. doi:10.1037/1082-989X.8.1.38
    • (2003) Psychological Methods , vol.8 , pp. 38-60
    • Eid, M.1    Lischetzke, T.2    Nussbeck, F.W.3    Trierweiler, L.I.4
  • 9
    • 54549117162 scopus 로고    scopus 로고
    • Structural equation modeling of multitrait–multimethod data: Different models for different types of methods
    • Eid, M., Nussbeck, F. W., Geiser, C., Cole, D. A., Gollwitzer, M., & Lischetzke, T., (2008). Structural equation modeling of multitrait–multimethod data: Different models for different types of methods. Psychological Methods, 13, 230–253. doi:10.1037/a0013219
    • (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
  • 10
    • 0029394090 scopus 로고
    • On the accuracy of personality judgment: A realistic approach
    • Funder, D. C., (1995). On the accuracy of personality judgment: A realistic approach. Psychological Review, 102, 652–670. doi:10.1037/0033-295X.102.4.652
    • (1995) Psychological Review , vol.102 , pp. 652-670
    • Funder, D.C.1
  • 11
    • 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)
    • 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 and Coffman (2006). Psychological Methods, 13(1), 49–57. doi:10.1037/1082-989X.13.1.49
    • (2008) Psychological Methods , vol.13 , Issue.1 , pp. 49-57
    • Geiser, C.1    Eid, M.2    Nussbeck, F.W.3
  • 12
    • 84864658895 scopus 로고    scopus 로고
    • A comparison of method effects in two confirmatory factor models for structurally different methods
    • Geiser, C., Eid, M., West, S. G., Lischetzke, T., & Nussbeck, F. W., (2012). A comparison of method effects in two confirmatory factor models for structurally different methods. Structural Equation Modeling, 19, 409–436. doi:10.1080/10705511.2012.687658
    • (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
  • 13
    • 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, 21, 509–523. doi:10.1080/10705511.2014.919816
    • (2014) Structural Equation Modeling , vol.21 , pp. 509-523
    • Geiser, C.1    Koch, T.2    Eid, M.3
  • 14
    • 0003344498 scopus 로고
    • The role of predictor variables which are independent of the criterion
    • Horst, P., (1941). The role of predictor variables which are independent of the criterion. Social Science Research Council Bulletin, 48, 431–436.
    • (1941) Social Science Research Council Bulletin , vol.48 , pp. 431-436
    • Horst, P.1
  • 15
    • 0031528340 scopus 로고    scopus 로고
    • Stemm: A general finite mixture structural equation model
    • Jedidi, K., Jagpal, H. S., & DeSarbo, W. S., (1997). Stemm: A general finite mixture structural equation model. Journal of Classification, 14, 23–50. doi:10.1007/s003579900002
    • (1997) Journal of Classification , vol.14 , pp. 23-50
    • Jedidi, K.1    Jagpal, H.S.2    DeSarbo, W.S.3
  • 16
    • 79960671754 scopus 로고    scopus 로고
    • Estimation of nonlinear latent structural equation models using the extended unconstrained approach
    • Retrieved from
    • Kelava, A., & Brandt, H., (2009). Estimation of nonlinear latent structural equation models using the extended unconstrained approach. Review of Psychology, 16, 123–132. Retrieved from http://hrcak.srce.hr/70644
    • (2009) Review of Psychology , vol.16 , pp. 123-132
    • Kelava, A.1    Brandt, H.2
  • 17
    • 84904718456 scopus 로고    scopus 로고
    • A general nonlinear multilevel structural equation mixture model
    • Kelava, A., & Brandt, H., (2014). A general nonlinear multilevel structural equation mixture model. Frontiers in Psychology, 5, 748. doi:10.3389/fpsyg.2014.00748
    • (2014) Frontiers in Psychology , vol.5 , pp. 748
    • Kelava, A.1    Brandt, H.2
  • 18
    • 84868262325 scopus 로고    scopus 로고
    • A Bayesian model for the estimation of latent interaction and quadratic effects when latent variables are non-normally distributed
    • Kelava, A., & Nagengast, B., (2012). A Bayesian model for the estimation of latent interaction and quadratic effects when latent variables are non-normally distributed. Multivariate Behavioral Research, 47, 717–742. doi:10.1080/00273171.2012.715560
    • (2012) Multivariate Behavioral Research , vol.47 , pp. 717-742
    • Kelava, A.1    Nagengast, B.2
  • 19
    • 84904293063 scopus 로고    scopus 로고
    • A nonlinear structural equation mixture modeling approach for nonnormally distributed latent predictor variables
    • Kelava, A., Nagengast, B., & Brandt, H., (2014). A nonlinear structural equation mixture modeling approach for nonnormally distributed latent predictor variables. Structural Equation Modeling, 21, 468–481. doi:10.1080/10705511.2014.915379
    • (2014) Structural Equation Modeling , vol.21 , pp. 468-481
    • Kelava, A.1    Nagengast, B.2    Brandt, H.3
  • 20
    • 85136004406 scopus 로고
    • The multitrait–multimethod matrix: Design, analysis, and conceptual issues
    • Shrout P., Fiske S.T., (eds), Hillsdale, NJ: Erlbaum,. In, (Eds
    • Kenny, D. A., (1995). The multitrait–multimethod matrix: Design, analysis, and conceptual issues. In P., Shrout & S. T., Fiske (Eds.), Personality research, methods, and theory: A festschrift honoring Donald W. Fiske (pp. 111–124). Hillsdale, NJ: Erlbaum.
    • (1995) Personality research, methods, and theory: A festschrift honoring Donald W. Fiske , pp. 111-124
    • Kenny, D.A.1
  • 21
    • 0000456985 scopus 로고
    • Estimating the nonlinear and interactive effects of latent variables
    • Kenny, D. A., & Judd, C. M., (1984). Estimating the nonlinear and interactive effects of latent variables. Psychological Bulletin, 96, 201. doi:10.1037/0033-2909.96.1.201
    • (1984) Psychological Bulletin , vol.96 , pp. 201
    • Kenny, D.A.1    Judd, C.M.2
  • 22
    • 0034559665 scopus 로고    scopus 로고
    • Maximum likelihood estimation of latent interaction effects with the lms method
    • Klein, A., & Moosbrugger, H., (2000). Maximum likelihood estimation of latent interaction effects with the lms method. Psychometrika, 65, 457–474. doi:10.1007/BF02296338
    • (2000) Psychometrika , vol.65 , pp. 457-474
    • Klein, A.1    Moosbrugger, H.2
  • 23
    • 85041216934 scopus 로고    scopus 로고
    • Statistische methoden der komparativen internationalen migrationsforschung [Statistical methods of comparative international migration research]
    • Maehler D., Brinkmann H.U., (eds), Berlin, Germany: Springer VS, &,. In, (Eds
    • Koch, T., & Eid, M., (2016). Statistische methoden der komparativen internationalen migrationsforschung [Statistical methods of comparative international migration research]. In D., Maehler & H. U., Brinkmann (Eds.), Methoden der migrationsforschung (pp. 225–259). Berlin, Germany: Springer VS.
    • (2016) Methoden der migrationsforschung , pp. 225-259
    • Koch, T.1    Eid, M.2
  • 24
    • 84945304303 scopus 로고    scopus 로고
    • Multitrait–multimethod-analysis: The psychometric foundation of CFA–MTMM models. In P
    • in press, London, UK: Wiley, &, (Eds
    • Koch, T., Eid, M., & Lochner, K., (in press). Multitrait–multimethod-analysis: The psychometric foundation of CFA–MTMM models. In P. 1275 Irwing, T. Booth, & D. Hughes (Eds.), The Wiley handbook of psychometrictesting. London, UK: Wiley.
    • The Wiley handbook of psychometrictesting
    • Koch, T.1    Eid, M.2    Lochner, K.3
  • 25
    • 85025116674 scopus 로고    scopus 로고
    • Explaining general and specific factors in longitudinal, multimethod, and bifactor Models: Some Caveats and Recommendations
    • July 24) Advance online publication
    • Koch, T., Holtmann, J., Bohn, J., & Eid, M., (2017, July 24). Explaining general and specific factors in longitudinal, multimethod, and bifactor Models: Some Caveats and Recommendations. Psychological Methods. Advance online publication. doi:10.1037/met0000146
    • (2017) Psychological Methods
    • Koch, T.1    Holtmann, J.2    Bohn, J.3    Eid, M.4
  • 26
    • 77951696419 scopus 로고    scopus 로고
    • A Bayesian approach for nonlinear structural equation models with dichotomous variables using logit and probit links
    • Lee, S.-Y., Song, X.-Y., & Cai, J.-H., (2010). A Bayesian approach for nonlinear structural equation models with dichotomous variables using logit and probit links. Structural Equation Modeling, 17, 280–302. doi:10.1080/10705511003659425
    • (2010) Structural Equation Modeling , vol.17 , pp. 280-302
    • Lee, S.-Y.1    Song, X.-Y.2    Cai, J.-H.3
  • 27
    • 34548063939 scopus 로고    scopus 로고
    • Bayesian methods for analyzing structural equation models with covariates, interaction, and quadratic latent variables
    • Lee, S.-Y., Song, X.-Y., & Tang, N.-S., (2007). Bayesian methods for analyzing structural equation models with covariates, interaction, and quadratic latent variables. Structural Equation Modeling, 14, 404–434. doi:10.1080/10705510701301511
    • (2007) Structural Equation Modeling , vol.14 , pp. 404-434
    • Lee, S.-Y.1    Song, X.-Y.2    Tang, N.-S.3
  • 28
    • 66549123112 scopus 로고    scopus 로고
    • Unterschiedliche Definitionen von Methodeneffekten in MTMM Modellen und ihre Implikationen für die Analyse der Validität [Different definitions of method effects in mtmm models and their implications for validity analysis]
    • Berlin, Germany
    • Lischetzke, T., Eid, M., & Nussbeck, F. W., (2002). Unterschiedliche Definitionen von Methodeneffekten in MTMM Modellen und ihre Implikationen für die Analyse der Validität [Different definitions of method effects in mtmm models and their implications for validity analysis]. Paper presented at the 43rd meeting of the German Psychological Association, Berlin, Germany.
    • (2002) Paper presented at the 43rd meeting of the German Psychological Association
    • Lischetzke, T.1    Eid, M.2    Nussbeck, F.W.3
  • 29
    • 33750342687 scopus 로고    scopus 로고
    • On the merits of orthogonalizing powered and product terms: Implications for modeling interactions among latent variables
    • Little, T. D., Bovaird, J. A., & Widaman, K. F., (2006). On the merits of orthogonalizing powered and product terms: Implications for modeling interactions among latent variables. Structural Equation Modeling, 13, 497–519. doi:10.1207/s15328007sem1304_1
    • (2006) Structural Equation Modeling , vol.13 , pp. 497-519
    • Little, T.D.1    Bovaird, J.A.2    Widaman, K.F.3
  • 30
    • 84957887502 scopus 로고    scopus 로고
    • I’m lonely, can’t you tell? Convergent validity of self-and informant ratings of loneliness
    • Luhmann, M., Bohn, J., Holtmann, J., Koch, T., & Eid, M., (2016). I’m lonely, can’t you tell? Convergent validity of self-and informant ratings of loneliness. Journal of Research in Personality, 61, 50–60. doi:10.1016/j.jrp.2016.02.002
    • (2016) Journal of Research in Personality , vol.61 , pp. 50-60
    • Luhmann, M.1    Bohn, J.2    Holtmann, J.3    Koch, T.4    Eid, M.5
  • 31
    • 0032970693 scopus 로고    scopus 로고
    • A measure of subjective happiness: Preliminary reliability and construct validation
    • Lyubomirsky, S., & Lepper, H. S., (1999). A measure of subjective happiness: Preliminary reliability and construct validation. Social Indicators Research, 46, 137–155. doi:10.1023/A:1006824100041
    • (1999) Social Indicators Research , vol.46 , pp. 137-155
    • Lyubomirsky, S.1    Lepper, H.S.2
  • 32
    • 84919341462 scopus 로고    scopus 로고
    • Estimating and interpreting latent variable interactions: A tutorial for applying the latent moderated structural equations method
    • Maslowsky, J., Jager, J., & Hemken, D., (2016). Estimating and interpreting latent variable interactions: A tutorial for applying the latent moderated structural equations method. International Journal of Behavioral Development, 39(1), 87–96. doi:10.1177/0165025414552301
    • (2016) International Journal of Behavioral Development , vol.39 , Issue.1 , pp. 87-96
    • Maslowsky, J.1    Jager, J.2    Hemken, D.3
  • 33
    • 0037514670 scopus 로고    scopus 로고
    • Comparison of methods for estimating and testing latent variable interactions
    • Moulder, B. C., & Algina, J., (2002). Comparison of methods for estimating and testing latent variable interactions. Structural Equation Modeling, 9, 1–19. doi:10.1207/S15328007SEM0901/1
    • (2002) Structural Equation Modeling , vol.9 , pp. 1-19
    • Moulder, B.C.1    Algina, J.2
  • 35
    • 85041193037 scopus 로고    scopus 로고
    • Multimethod latent class analysis
    • Retrieved from
    • Nussbeck, F. W., & Eid, M., (2015). Multimethod latent class analysis. Frontiers in Psychology, 6, 1332. Retrieved from http://journal.frontiersin.org/article/10.3389/fpsyg.2015.01332/full
    • (2015) Frontiers in Psychology , vol.6 , pp. 1332
    • Nussbeck, F.W.1    Eid, M.2
  • 36
    • 85017067775 scopus 로고    scopus 로고
    • The latent class multitrait–multimethod model
    • Oberski, D. L., Hagenaars, J., & Saris, W. E., (2015). The latent class multitrait–multimethod model. Psychological Methods, 20, 422–443. doi:10.1037/a0039783
    • (2015) Psychological Methods , vol.20 , pp. 422-443
    • Oberski, D.L.1    Hagenaars, J.2    Saris, W.E.3
  • 37
    • 77951162550 scopus 로고    scopus 로고
    • Modeling common traits and method effects in multitrait–multimethod analysis
    • Pohl, S., & Steyer, R., (2010). Modeling common traits and method effects in multitrait–multimethod analysis. Multivariate Behavioral Research, 45, 45–72. doi:10.1080/00273170903504729
    • (2010) Multivariate Behavioral Research , vol.45 , pp. 45-72
    • Pohl, S.1    Steyer, R.2
  • 39
    • 85021633860 scopus 로고    scopus 로고
    • Identifying determinants of teachers’ judgment (In)accuracy regarding students’ motivations using a bayesian cross-classified multi-level model
    • 52
    • Praetorius, A.-K., Koch, T., Scheunpflug, A., Zeinz, H., & Dresel, M., (2017). Identifying determinants of teachers’ judgment (In)accuracy regarding students’ motivations using a bayesian cross-classified multi-level model. Learning and Instruction, 52, 148–160. doi:10.1016/j.learninstruc.2017.06.003
    • (2017) Learning and Instruction , pp. 148-160
    • Praetorius, A.-K.1    Koch, T.2    Scheunpflug, A.3    Zeinz, H.4    Dresel, M.5
  • 40
    • 85010694312 scopus 로고    scopus 로고
    • Eine kurze Skala zur Messung der fünf Dimensionen der Persönlichkeit: 10 Item Big Five Inventory (BFI–10) [A short scale for the assessment of the five personality dimensions: 10 Item Big Five Inventory]
    • Rammstedt, B., Kemper, C. J., Klein, M. C., Beierlein, C., & Kovaleva, A., (2013). Eine kurze Skala zur Messung der fünf Dimensionen der Persönlichkeit: 10 Item Big Five Inventory (BFI–10) [A short scale for the assessment of the five personality dimensions: 10 Item Big Five Inventory]. Methoden, Daten, Analysen (Mda), 7, 233–249. doi:10.12758/mda.2013.013
    • (2013) Methoden, Daten, Analysen (Mda) , vol.7 , pp. 233-249
    • Rammstedt, B.1    Kemper, C.J.2    Klein, M.C.3    Beierlein, C.4    Kovaleva, A.5
  • 41
    • 84873019824 scopus 로고    scopus 로고
    • When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions
    • Rhemtulla, M., Brosseau-Liard, P. É., & Savalei, V., (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17, 354. doi:10.1037/a0029315
    • (2012) Psychological Methods , vol.17 , pp. 354
    • Rhemtulla, M.1    Brosseau-Liard, P.É.2    Savalei, V.3
  • 42
    • 85018449844 scopus 로고    scopus 로고
    • Fitting nonlinear structural equation models in R with package nlsem
    • Retrieved from
    • Umbach, N., Naumann, K., Brandt, H., & Kelava, A., (2017). Fitting nonlinear structural equation models in R with package nlsem. Journal of Statistical Software, Articles, 77(7), 1–20. Retrieved from https://www.jstatsoft.org/v077/i07
    • (2017) Journal of Statistical Software , vol.Articles, 77 , Issue.7 , pp. 1-20
    • Umbach, N.1    Naumann, K.2    Brandt, H.3    Kelava, A.4
  • 43
    • 0038334179 scopus 로고    scopus 로고
    • A method of moments technique for fitting interaction effects in structural equation models
    • Wall, M. M., & Amemiya, Y., (2003). A method of moments technique for fitting interaction effects in structural equation models. British Journal of Mathematical and Statistical Psychology, 56(1), 47–63. doi:10.1348/000711003321645331
    • (2003) British Journal of Mathematical and Statistical Psychology , vol.56 , Issue.1 , pp. 47-63
    • Wall, M.M.1    Amemiya, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.