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Volumn 4, Issue 1, 2008, Pages 37-50

Longitudinal data analysis with structural equations

Author keywords

Longitudinal data analysis; Multilevel analysis; Structural equations

Indexed keywords


EID: 60849100390     PISSN: 16141881     EISSN: 16142241     Source Type: Journal    
DOI: 10.1027/1614-2241.4.1.37     Document Type: Review
Times cited : (32)

References (72)
  • 2
    • 84874454668 scopus 로고    scopus 로고
    • Multiple linear regression
    • J.A. Schinka & N.F. Velicer Eds, New Jersey: Wiley
    • Aiken, L.S., West, S.G., & Pitts, S.C. (2003). Multiple linear regression. In J.A. Schinka & N.F. Velicer (Eds.), Research Methods in Psychology (pp. 483-507). New Jersey: Wiley.
    • (2003) Research Methods in Psychology , pp. 483-507
    • Aiken, L.S.1    West, S.G.2    Pitts, S.C.3
  • 3
    • 0348028143 scopus 로고    scopus 로고
    • Amsel, E, & Renninger, K.A, Eds, Mahwah, NJ: Erlbaum
    • Amsel, E., & Renninger, K.A. (Eds.). (1997). Change and development. Mahwah, NJ: Erlbaum.
    • (1997) Change and development
  • 4
    • 0023020183 scopus 로고
    • The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations
    • Baron, R.M., & Kenny, D.A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.
    • (1986) Journal of Personality and Social Psychology , vol.51 , pp. 1173-1182
    • Baron, R.M.1    Kenny, D.A.2
  • 6
    • 0003594306 scopus 로고    scopus 로고
    • Bijleveld, C.C.J.H, & van der Kamp, L, Eds, London: Sage
    • Bijleveld, C.C.J.H., & van der Kamp, L. (Eds.). (1998). Longitudinal data analysis. London: Sage.
    • (1998) Longitudinal data analysis
  • 11
    • 0344181470 scopus 로고    scopus 로고
    • Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling
    • Cole, D.A., & Maxwell, S.E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112, 558-577.
    • (2003) Journal of Abnormal Psychology , vol.112 , pp. 558-577
    • Cole, D.A.1    Maxwell, S.E.2
  • 12
    • 32544455335 scopus 로고    scopus 로고
    • Analysis of longitudinal data: The integration of theoretical model, temporal design and statistical model
    • Collins, L.M. (2006). Analysis of longitudinal data: The integration of theoretical model, temporal design and statistical model. Annual Review of Psychology, 57, 505-528.
    • (2006) Annual Review of Psychology , vol.57 , pp. 505-528
    • Collins, L.M.1
  • 13
    • 0003787874 scopus 로고    scopus 로고
    • Collins, L.M, & Horn, J.L, Eds, Washington, DC: American Psychological Association
    • Collins, L.M., & Horn, J.L. (Eds.). (1991). Best methods for the analysis of change. Washington, DC: American Psychological Association.
    • (1991) Best methods for the analysis of change
  • 14
    • 0003787874 scopus 로고    scopus 로고
    • Collins, L.M, & Sayer, A.G, Eds, Washington, DC: American Psychological Association
    • Collins, L.M., & Sayer, A.G. (Eds.). (2001). New methods for the analysis of change. Washington, DC: American Psychological Association.
    • (2001) New methods for the analysis of change
  • 17
    • 0003693039 scopus 로고
    • Dwyer, M, Feinlieb, P.L, & Hoffmeister, H, Eds, New York: Oxford
    • Dwyer, M., Feinlieb, P.L., & Hoffmeister, H. (Eds.). (1992). Statistical models for longitudinal studies of health. New York: Oxford.
    • (1992) Statistical models for longitudinal studies of health
  • 18
    • 84925740348 scopus 로고    scopus 로고
    • Impact of measurement scale in modeling developmental processes and ecological factors
    • T.D. Little, J.A. Bovaird, & N.A. Card Eds, Mahwah, NJ: Erlbaum
    • Embretson, S.E. (2007). Impact of measurement scale in modeling developmental processes and ecological factors. In T.D. Little, J.A. Bovaird, & N.A. Card (Eds.), Modeling contextual effects in longitudinal studies (pp. 63-87). Mahwah, NJ: Erlbaum.
    • (2007) Modeling contextual effects in longitudinal studies , pp. 63-87
    • Embretson, S.E.1
  • 21
    • 0027990602 scopus 로고
    • Multilevel time series models with applications to repeated measures data
    • Goldstein, H., Healy, M.J.R., & Rasbash, J. (1994). Multilevel time series models with applications to repeated measures data. Statistics in Medicine, 13, 1643-1655.
    • (1994) Statistics in Medicine , vol.13 , pp. 1643-1655
    • Goldstein, H.1    Healy, M.J.R.2    Rasbash, J.3
  • 22
    • 0003690962 scopus 로고
    • Gottman, J.M, Ed, Mahwah, NJ: Erlbaum
    • Gottman, J.M. (Ed.). (1995). The analysis of change. Mahwah, NJ: Erlbaum.
    • (1995) The analysis of change
  • 25
    • 34250481868 scopus 로고
    • A general approach to confirmatory maximum likelihood factor analysis
    • Jöreskog, K.G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34, 183-202.
    • (1969) Psychometrika , vol.34 , pp. 183-202
    • Jöreskog, K.G.1
  • 26
    • 85167643678 scopus 로고    scopus 로고
    • Jöreskog, K.G. (1974). Analyzing psychological data by structural analysis of covariance matrix. In R.C. Atkinson, D.H. Krantz, R.D. Luce, & P. Suppes (Eds.), Contemporary developments in mathematical psychology. II. Measurement, psychophysics, and neural information processing (pp. 1-56). San Francisco, CA: Freeman.
    • Jöreskog, K.G. (1974). Analyzing psychological data by structural analysis of covariance matrix. In R.C. Atkinson, D.H. Krantz, R.D. Luce, & P. Suppes (Eds.), Contemporary developments in mathematical psychology. Vol. II. Measurement, psychophysics, and neural information processing (pp. 1-56). San Francisco, CA: Freeman.
  • 27
    • 0003228293 scopus 로고
    • Analysis of longitudinal data
    • D.V. Aigner & A.S. Goldelberg Eds, Amsterdam: North-Holland
    • Jöreskog, K.G. (1977). Analysis of longitudinal data. In D.V. Aigner & A.S. Goldelberg (Eds.), Latent variables in socio-economic models (pp. 285-325). Amsterdam: North-Holland.
    • (1977) Latent variables in socio-economic models , pp. 285-325
    • Jöreskog, K.G.1
  • 29
    • 0002382866 scopus 로고    scopus 로고
    • Nonlinear structural equation models: The Kenny-Judd model with interaction effects
    • G.A. Marcoulides & R.E. Schumacker Eds, Mahwah, NJ: Erlbaum
    • Jöreskog, K.G., & Yang, F. (1996). Nonlinear structural equation models: The Kenny-Judd model with interaction effects. In G.A. Marcoulides & R.E. Schumacker (Eds.), Advanced structural equation modeling: Issues and techniques (pp. 57-88). Mahwah, NJ: Erlbaum.
    • (1996) Advanced structural equation modeling: Issues and techniques , pp. 57-88
    • Jöreskog, K.G.1    Yang, F.2
  • 30
    • 84973815909 scopus 로고
    • Process analysis: Estimating mediation in treatment evaluations
    • Judd, C.M., & Kenny, D.A. (1981). Process analysis: Estimating mediation in treatment evaluations. Evaluation Review, 5, 602-619.
    • (1981) Evaluation Review , vol.5 , pp. 602-619
    • Judd, C.M.1    Kenny, D.A.2
  • 32
    • 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, 201-210.
    • (1984) Psychological Bulletin , vol.96 , pp. 201-210
    • Kenny, D.A.1    Judd, C.M.2
  • 33
    • 85077277771 scopus 로고    scopus 로고
    • Methods for the analysis of change
    • T.D. Little & D. Mroczek Eds, Mahwah, NJ: Erlbaum
    • Little, T.D., Bovaird, J.A., & Slegers, D.W. (2006). Methods for the analysis of change. In T.D. Little & D. Mroczek (Eds.), Handbook of personality development (pp. 181-211). Mahwah, NJ: Erlbaum.
    • (2006) Handbook of personality development , pp. 181-211
    • Little, T.D.1    Bovaird, J.A.2    Slegers, D.W.3
  • 34
    • 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.
    • (2006) Structural Equation Modeling , vol.13 , pp. 497-519
    • Little, T.D.1    Bovaird, J.A.2    Widaman, K.F.3
  • 37
    • 33644671129 scopus 로고    scopus 로고
    • A nonarbitrary method identifying and scaling latent variables in SEM and MACS models
    • Little, T.D., Slegers, D.W., & Card, N.A. (2006). A nonarbitrary method identifying and scaling latent variables in SEM and MACS models. Structural Equation Modeling, 13, 59-72.
    • (2006) Structural Equation Modeling , vol.13 , pp. 59-72
    • Little, T.D.1    Slegers, D.W.2    Card, N.A.3
  • 38
    • 0347488003 scopus 로고    scopus 로고
    • Specification searches in structural equation modeling with a genetic algorithm
    • G.A. Marcoulides & R.E. Schumacker Eds, Mahwah, NJ: Erlbaum
    • Marcoulides, G.A., & Drezner, Z. (2001). Specification searches in structural equation modeling with a genetic algorithm. In G.A. Marcoulides & R.E. Schumacker (Eds.), New developments and techniques in structural equation modeling (pp. 247-268). Mahwah, NJ: Erlbaum.
    • (2001) New developments and techniques in structural equation modeling , pp. 247-268
    • Marcoulides, G.A.1    Drezner, Z.2
  • 39
    • 0002576709 scopus 로고    scopus 로고
    • A latent difference score approach to longitudinal dynamic structural analyses
    • R. Cudeck, S. du Toit, & D. Sorbom Eds, Lincolnwood, IL: Scientific Software International
    • McArdle, J.J. (2001). A latent difference score approach to longitudinal dynamic structural analyses. In R. Cudeck, S. du Toit, & D. Sorbom (Eds.), Structural equation modeling: Present and future (pp. 341-380). Lincolnwood, IL: Scientific Software International.
    • (2001) Structural equation modeling: Present and future , pp. 341-380
    • McArdle, J.J.1
  • 40
    • 0023285136 scopus 로고
    • Latent growth curves within developmental structural equation models
    • McArdle, J.J., & Epstein, D. (1987). Latent growth curves within developmental structural equation models. Child Development, 58, 110-133.
    • (1987) Child Development , vol.58 , pp. 110-133
    • McArdle, J.J.1    Epstein, D.2
  • 41
    • 0042938105 scopus 로고    scopus 로고
    • Growth curve analysis in contemporary psychological research
    • J.A. Schinka & W.F. Velicer Eds, Hoboken, NJ: Wiley
    • McArdle, J.J.,& Nesselroade, J.R. (2003). Growth curve analysis in contemporary psychological research. In J.A. Schinka & W.F. Velicer (Eds.), Handbook of psychology. Research methods in psychology (pp. 447-480). Hoboken, NJ: Wiley.
    • (2003) Handbook of psychology. Research methods in psychology , pp. 447-480
    • McArdle, J.J.1    Nesselroade, J.R.2
  • 43
    • 34249962132 scopus 로고
    • Latent curve analysis
    • Meredith, W., & Tisak, J. (1990). Latent curve analysis. Psychometrika, 55, 107-122.
    • (1990) Psychometrika , vol.55 , pp. 107-122
    • Meredith, W.1    Tisak, J.2
  • 44
    • 0002569771 scopus 로고    scopus 로고
    • Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class/latent growth modeling
    • L.M. Collins & A. Sayer Eds, Washington, DC: American Psychological Association
    • Muthén, B. (2001). Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class/latent growth modeling. In L.M. Collins & A. Sayer (Eds.), New methods for the analysis of change (pp. 291-322). Washington, DC: American Psychological Association.
    • (2001) New methods for the analysis of change , pp. 291-322
    • Muthén, B.1
  • 45
    • 0032969449 scopus 로고    scopus 로고
    • Finite mixture modeling with mixture outcomes using the EM algorithm
    • Muthén, B., & Shedden, K. (1999). Finite mixture modeling with mixture outcomes using the EM algorithm. Biometrics, 55, 463-469.
    • (1999) Biometrics , vol.55 , pp. 463-469
    • Muthén, B.1    Shedden, K.2
  • 46
    • 0033441152 scopus 로고    scopus 로고
    • Analyzing developmental trajectories: A semi-parametric, group-based approach
    • Nagin, D.S. (1999). Analyzing developmental trajectories: A semi-parametric, group-based approach. Psychological Methods, 4, 139-157.
    • (1999) Psychological Methods , vol.4 , pp. 139-157
    • Nagin, D.S.1
  • 48
    • 0000629279 scopus 로고
    • Mathematical contributions to the theory of evolution: III. Regression, heredity, and panmixia
    • Pearson, K. (1896). Mathematical contributions to the theory of evolution: III. Regression, heredity, and panmixia. Philosophical Transactions of the Royal Society, 187, 253-318.
    • (1896) Philosophical Transactions of the Royal Society , pp. 253-318
    • Pearson, K.1
  • 50
    • 0003000586 scopus 로고    scopus 로고
    • Statistical methods for understanding cognitive growth: A review, a synthesis, and an application
    • Plewis, I. (1996). Statistical methods for understanding cognitive growth: A review, a synthesis, and an application. British Journal of Mathematical and Statistical Psychology, 49, 25-42.
    • (1996) British Journal of Mathematical and Statistical Psychology , vol.49 , pp. 25-42
    • Plewis, I.1
  • 51
    • 33845678574 scopus 로고    scopus 로고
    • Modelling behavior with multivariate multilevel growth curves
    • Plewis, I. (2005). Modelling behavior with multivariate multilevel growth curves. Methodology, 1, 71-80.
    • (2005) Methodology , vol.1 , pp. 71-80
    • Plewis, I.1
  • 52
    • 33845682172 scopus 로고    scopus 로고
    • Modelling repeated ordinal reports from multiple informants
    • Plewis, I., Vitaro, F., & Tremblay, R. (2006). Modelling repeated ordinal reports from multiple informants. Statistical Modelling, 6, 251-263.
    • (2006) Statistical Modelling , vol.6 , pp. 251-263
    • Plewis, I.1    Vitaro, F.2    Tremblay, R.3
  • 53
    • 34347337505 scopus 로고    scopus 로고
    • Using simple and complex growth to articulate developmental change: Matching theory to method
    • Ram, N., & Grimm, K.J. (2007). Using simple and complex growth to articulate developmental change: Matching theory to method. International Journal of Behavioral development, 31, 303-316.
    • (2007) International Journal of Behavioral development , vol.31 , pp. 303-316
    • Ram, N.1    Grimm, K.J.2
  • 54
    • 0002048897 scopus 로고
    • Using phantom and imaginary variables latent variables to parametrize constraints in linear structural models
    • Rindskopf, D. (1984). Using phantom and imaginary variables latent variables to parametrize constraints in linear structural models. Psychometrika, 49, 37-47.
    • (1984) Psychometrika , vol.49 , pp. 37-47
    • Rindskopf, D.1
  • 55
    • 0032393254 scopus 로고    scopus 로고
    • Relationship between the mean and the constant in a Box-Jenkins time-series model
    • Rosel, J., Arnau, J., & Jara, P. (1998). Relationship between the mean and the constant in a Box-Jenkins time-series model. Quality and Quantity, 32, 155-163.
    • (1998) Quality and Quantity , vol.32 , pp. 155-163
    • Rosel, J.1    Arnau, J.2    Jara, P.3
  • 56
    • 85167630357 scopus 로고
    • Un modelo de ecuaciones estructurales para diseños en panel [A structural equation model for panel designs]
    • Rosel, J., & Elósegui, E. (1991). Un modelo de ecuaciones estructurales para diseños en panel [A structural equation model for panel designs]. Psicothema, 3, 433-442.
    • (1991) Psicothema , vol.3 , pp. 433-442
    • Rosel, J.1    Elósegui, E.2
  • 57
    • 0036417149 scopus 로고    scopus 로고
    • Geometrical interpretation of the mean and the constant in a Box-Jenkins time-series model
    • Rosel, J., Jara, P., & Arnau, J. (2002). Geometrical interpretation of the mean and the constant in a Box-Jenkins time-series model. Quality and Quantity, 36, 411-425.
    • (2002) Quality and Quantity , vol.36 , pp. 411-425
    • Rosel, J.1    Jara, P.2    Arnau, J.3
  • 58
  • 63
    • 0002965815 scopus 로고
    • General intelligence, objectively determined and measured
    • Spearman, C. (1904). General intelligence, objectively determined and measured. American Journal of Psychology, 15, 201-293.
    • (1904) American Journal of Psychology , vol.15 , pp. 201-293
    • Spearman, C.1
  • 64
    • 27744608443 scopus 로고    scopus 로고
    • Analyzing individual and average causal effects via structural equation models
    • Steyer, R. (2005). Analyzing individual and average causal effects via structural equation models. Methodology, 1, 39-54.
    • (2005) Methodology , vol.1 , pp. 39-54
    • Steyer, R.1
  • 69
    • 0003106205 scopus 로고
    • The identification problem for structural equation models with unmeasured variables
    • A.S. Goldberger & O.D. Duncan Eds, New York: Seminar
    • Wiley, D.E. (1973). The identification problem for structural equation models with unmeasured variables. In A.S. Goldberger & O.D. Duncan (Eds.), Structural equation models in the social sciences (pp. 69-84). New York: Seminar
    • (1973) Structural equation models in the social sciences , pp. 69-84
    • Wiley, D.E.1
  • 70
    • 0002864926 scopus 로고
    • On the nature of size factors
    • Wright, S. (1918). On the nature of size factors. Genetics, 3, 367-374.
    • (1918) Genetics , vol.3 , pp. 367-374
    • Wright, S.1
  • 72
    • 84946357749 scopus 로고
    • An efficient method of estimating seemingly unrelated regressions and tests of aggregation bias
    • Zellner, A. (1962). An efficient method of estimating seemingly unrelated regressions and tests of aggregation bias. Journal of the American Statistical Association, 57, 348-368.
    • (1962) Journal of the American Statistical Association , vol.57 , pp. 348-368
    • Zellner, A.1


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