메뉴 건너뛰기




Volumn 45, Issue 3, 2010, Pages 508-552

Using a multivariate multilevel polytomous item response theory model to study parallel processes of change: The dynamic association between adolescents' social isolation and engagement with delinquent peers in the national youth survey

Author keywords

[No Author keywords available]

Indexed keywords


EID: 77953490392     PISSN: 00273171     EISSN: None     Source Type: Journal    
DOI: 10.1080/00273171.2010.483387     Document Type: Article
Times cited : (17)

References (94)
  • 1
    • 0031512887 scopus 로고    scopus 로고
    • The multidimensional random coefficients multinomial logit model
    • Adams, R. J., Wilson, M., & Wang, W. C. (1997). The multidimensional random coefficients multinomial logit model. Applied Psychological Measurement, 21, 1-23.
    • (1997) Applied Psychological Measurement , vol.21 , pp. 1-23
    • Adams, R.J.1    Wilson, M.2    Wang, W.C.3
  • 2
    • 0142169443 scopus 로고    scopus 로고
    • Estimating multilevel linear models as structural equation models
    • Bauer, D. J. (2003). Estimating multilevel linear models as structural equation models. Journal of Educational and Behavioral Statistics, 28, 135-167.
    • (2003) Journal of Educational and Behavioral Statistics , vol.28 , pp. 135-167
    • Bauer, D.J.1
  • 4
    • 0003201602 scopus 로고
    • Test scores, sufficient statistics, and the information structures of tests
    • In F. M. Lord & M. R. Novick (Eds.), Reading, MA: Addison-Wesley
    • Birnbaum, A. (1968). Test scores, sufficient statistics, and the information structures of tests. In F. M. Lord & M. R. Novick (Eds.), Statistical theories of mental test scores (pp. 425-435). Reading, MA: Addison-Wesley.
    • (1968) Statistical Theories of Mental Test Scores , pp. 425-435
    • Birnbaum, A.1
  • 5
    • 85145133837 scopus 로고    scopus 로고
    • A second order structural latent curve model for longitudinal data
    • In K. van Montfort, J. Oud, & A. Satorra (Eds.), Mahwah, NJ: Erlbaum
    • Blozis, S. (2007). A second order structural latent curve model for longitudinal data. In K. van Montfort, J. Oud, & A. Satorra (Eds.), Longitudinal models in the behavioral and related sciences (pp. 189-214). Mahwah, NJ: Erlbaum.
    • (2007) Longitudinal Models In the Behavioral and Related Sciences , pp. 189-214
    • Blozis, S.1
  • 7
    • 77953509881 scopus 로고    scopus 로고
    • Hierarchical IRT models
    • In B. S. Everitt & D. C. Howell (Eds.), London: Wiley
    • Bolt, D. M., & Kim, J.-S. (2005). Hierarchical IRT models. In B. S. Everitt & D. C. Howell (Eds.), Encyclopedia of statistics in behavioral science (Vol. 2, pp. 805-810). London: Wiley
    • (2005) Encyclopedia of Statistics In Behavioral Science , vol.2 , pp. 805-810
    • Bolt, D.M.1    Kim, J.-S.2
  • 8
    • 0345149832 scopus 로고    scopus 로고
    • Estimation of compensatory and non-compensatory multidimensional item response models using Markov chain Monte Carlo
    • Bolt D. M. and Lall, V. F. (2003). Estimation of compensatory and non-compensatory multidimensional item response models using Markov chain Monte Carlo. Applied Psychological Measurement, 27, 395-414.
    • (2003) Applied Psychological Measurement , vol.27 , pp. 395-414
    • Bolt, D.M.1    Lall, V.F.2
  • 11
    • 32344446687 scopus 로고
    • Understanding the Metropolis-Hastings algorithm
    • Chib, S., & Greenberg, E. (1995). Understanding the Metropolis-Hastings algorithm. The American Statistician, 49, 327-335.
    • (1995) The American Statistician , vol.49 , pp. 327-335
    • Chib, S.1    Greenberg, E.2
  • 12
    • 0001254763 scopus 로고    scopus 로고
    • Comparisons of two statistical approaches to study growth curves: The multilevel model and the latent curve analysis
    • Chou, C.-P., Bentler, P. M., & Pentz, M. A. (1998). Comparisons of two statistical approaches to study growth curves: The multilevel model and the latent curve analysis. Structural Equation Modeling: A Multidisciplinary Journal, 5, 247-266.
    • (1998) Structural Equation Modeling: A Multidisciplinary Journal , vol.5 , pp. 247-266
    • Chou, C.-P.1    Bentler, P.M.2    Pentz, M.A.3
  • 13
    • 34248628671 scopus 로고
    • Self-perceptions of unpopularity in adolescence: Links to past and current adjustment
    • Cohen, E., Reinherz, H. Z., & Frost, A. K. (1994). Self-perceptions of unpopularity in adolescence: Links to past and current adjustment. Child and Adolescent Social Work Journal, 11, 37-52.
    • (1994) Child and Adolescent Social Work Journal , vol.11 , pp. 37-52
    • Cohen, E.1    Reinherz, H.Z.2    Frost, A.K.3
  • 14
    • 0004214647 scopus 로고    scopus 로고
    • Bayesian statistical modeling
    • NJ: Wiley
    • Congdon, P. (2006). Bayesian statistical modeling. Hoboken, NJ: Wiley.
    • (2006) Hoboken
    • Congdon, P.1
  • 15
    • 0842285954 scopus 로고    scopus 로고
    • Have multilevel models been structural equation models all along
    • Curran, P. J. (2003). Have multilevel models been structural equation models all along. Multivariate Behavioral Research, 38, 529-569.
    • (2003) Multivariate Behavioral Research , vol.38 , pp. 529-569
    • Curran, P.J.1
  • 17
    • 77951747413 scopus 로고    scopus 로고
    • Twelve frequently asked questions about growth curve modeling
    • Curran, P. J., Obeidat, K., & Losardo, D. (2010). Twelve frequently asked questions about growth curve modeling. Journal of Cognition and Development, 11(2), 121-136.
    • (2010) Journal of Cognition and Development , vol.11 , Issue.2 , pp. 121-136
    • Curran, P.J.1    Obeidat, K.2    Losardo, D.3
  • 18
    • 84976969572 scopus 로고
    • The influence of multidimensionality on the graded response model
    • De Ayala, R. J. (1994). The influence of multidimensionality on the graded response model. Applied Psychological Measurement, 18, 155-170.
    • (1994) Applied Psychological Measurement , vol.18 , pp. 155-170
    • de Ayala, R.J.1
  • 19
    • 27544504842 scopus 로고    scopus 로고
    • Making the most of what we have: A practical application of multidimensional item response theory in test scoring
    • de la Torre, J., & Patz, R. J. (2005). Making the most of what we have: A practical application of multidimensional item response theory in test scoring. Journal of Educational and Behavioral Statistics, 30, 295-311.
    • (2005) Journal of Educational and Behavioral Statistics , vol.30 , pp. 295-311
    • de la Torre, J.1    Patz, R.J.2
  • 21
    • 0034445245 scopus 로고    scopus 로고
    • Risk and protective factors influencing adolescent problem behavior: A multivariate latent growth curve analysis
    • Duncan, S. C., Duncan, T. E., & Strycker, L. A. (2000). Risk and protective factors influencing adolescent problem behavior: A multivariate latent growth curve analysis. Annals of Behavioral Medicine, 22, 103-109.
    • (2000) Annals of Behavioral Medicine , vol.22 , pp. 103-109
    • Duncan, S.C.1    Duncan, T.E.2    Strycker, L.A.3
  • 22
    • 0043264962 scopus 로고    scopus 로고
    • Qualitative and quantitative shifts in adolescent problem behavior development: A cohort-sequential multivariate latent growth modeling approach
    • Duncan, S. C., Duncan, T. E., & Strycker, L. A. (2001). Qualitative and quantitative shifts in adolescent problem behavior development: A cohort-sequential multivariate latent growth modeling approach. Journal of Psychopathology and Behavioral Assessment, 23(1), 43-50.
    • (2001) Journal of Psychopathology and Behavioral Assessment , vol.23 , Issue.1 , pp. 43-50
    • Duncan, S.C.1    Duncan, T.E.2    Strycker, L.A.3
  • 23
    • 3042639532 scopus 로고    scopus 로고
    • An introduction to latent growth curve modeling
    • Duncan, T. E., & Duncan, S. C. (2004). An introduction to latent growth curve modeling. Behavior Therapy, 35, 333-363.
    • (2004) Behavior Therapy , vol.35 , pp. 333-363
    • Duncan, T.E.1    Duncan, S.C.2
  • 25
    • 73349125623 scopus 로고    scopus 로고
    • Bayesian structural equation modeling
    • Retrieved February 4, 2007, from (Tech. Rep. No. 2005-5)
    • Dunson, D. B., Palomo, J., & Bollen, K. (2005). Bayesian structural equation modeling (Tech. Rep. No. 2005-5). Statistical and Applied Mathematical Sciences Institute. Retrieved February 4, 2007, from http://www.samsi.info/TR/tr2005-05.pdf
    • (2005) Statistical and Applied Mathematical Sciences Institute
    • Dunson, D.B.1    Palomo, J.2    Bollen, K.3
  • 26
    • 77953507024 scopus 로고    scopus 로고
    • [Computer file]. ICPSR08375-06542. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2008-08-01. Retrieved March 21, 2009, from
    • Elliott, D. National Youth Survey (NYS) series, 1976-1987[Computer file]. ICPSR08375-06542. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2008-08-01. Retrieved March 21, 2009, from http://www.icpsr.umich.edu/cocoon/ICPSR/SERIES/00088.xml
    • National Youth Survey (NYS) Series, 1976-1987
    • Elliott, D.1
  • 28
    • 77953522032 scopus 로고    scopus 로고
    • Longitudinal multilevel modeling: A comparison of growth curve models and structural equation modeling using panel data from Germany
    • In K. van Montfort, J. Oud, & A. Satorra (Eds.), Mahwah, NJ: Erlbaum
    • Engel, U., Gattig, A., & Simonson, J. (2007). Longitudinal multilevel modeling: A comparison of growth curve models and structural equation modeling using panel data from Germany. In K. van Montfort, J. Oud, & A. Satorra (Eds.), Longitudinal models in the behavioral and related sciences (pp. 295-314). Mahwah, NJ: Erlbaum.
    • (2007) Longitudinal Models In the Behavioral and Related Sciences , pp. 295-314
    • Engel, U.1    Gattig, A.2    Simonson, J.3
  • 29
    • 34249867716 scopus 로고    scopus 로고
    • Multilevel IRT modeling in practice with the package mlirt
    • Fox, J.-P. (2007). Multilevel IRT modeling in practice with the package mlirt. Journal of Statistical Software, 20(5), 1-16.
    • (2007) Journal of Statistical Software , vol.20 , Issue.5 , pp. 1-16
    • Fox, J.-P.1
  • 32
    • 84972492387 scopus 로고
    • Inference from iterative simulation using multiple sequences
    • Gelman, A., & Rubin, D. B. (1992). Inference from iterative simulation using multiple sequences. Statistical Science, 7, 457-472.
    • (1992) Statistical Science , vol.7 , pp. 457-472
    • Gelman, A.1    Rubin, D.B.2
  • 34
    • 0031467709 scopus 로고    scopus 로고
    • Random-effects probit and logistic regression models for three-level data
    • Gibbons, R. D., & Hedeker, D. (1997). Random-effects probit and logistic regression models for three-level data. Biometrics, 53, 1527-1537.
    • (1997) Biometrics , vol.53 , pp. 1527-1537
    • Gibbons, R.D.1    Hedeker, D.2
  • 35
    • 77953525896 scopus 로고    scopus 로고
    • Bayesian methods for categorical data
    • In B. S. Everitt & D. C. Howell (Eds.), London: Wiley
    • Gutiérrez-Peña, E. (2005). Bayesian methods for categorical data. In B. S. Everitt & D. C. Howell (Eds.), Encyclopedia of statistics in behavioral science (Vol. 1, pp. 139-146). London: Wiley.
    • (2005) Encyclopedia of Statistics In Behavioral Science , vol.1 , pp. 139-146
    • Gutiérrez-Peña, E.1
  • 36
    • 0002782425 scopus 로고
    • Comparison of classical test theory and item response theory and their applications to test development
    • Hambleton, R. K., & Jones, R. W. (1993). Comparison of classical test theory and item response theory and their applications to test development. Educational Measurement: Issues and Practice, 12(2),38-47.
    • (1993) Educational Measurement: Issues and Practice , vol.12 , Issue.2 , pp. 38-47
    • Hambleton, R.K.1    Jones, R.W.2
  • 37
    • 77956890234 scopus 로고
    • Monte Carlo sampling methods using Markov chains and their applications
    • Hastings, W. K. (1970). Monte Carlo sampling methods using Markov chains and their applications. Biometrika, 57, 97-109.
    • (1970) Biometrika , vol.57 , pp. 97-109
    • Hastings, W.K.1
  • 38
    • 56349120469 scopus 로고    scopus 로고
    • Multilevel and SEM approaches to growth curve modeling
    • In B. S. Everitt & D. C. Howell (Eds.), London: Wiley
    • Hox, J., & Stoel, R. D. (2005). Multilevel and SEM approaches to growth curve modeling. In B. S. Everitt & D. C. Howell (Eds.), Encyclopedia of statistics in behavioral science (Vol. 3, pp. 1296-1305). London: Wiley.
    • (2005) Encyclopedia of Statistics In Behavioral Science , vol.3 , pp. 1296-1305
    • Hox, J.1    Stoel, R.D.2
  • 39
    • 70449602301 scopus 로고    scopus 로고
    • A preliminary Bayesian analysis of incomplete longitudinal data from a small sample: Methodological advances in an international comparative study of educational inequality
    • Hsieh, C., & Maier, K. S. (2009). A preliminary Bayesian analysis of incomplete longitudinal data from a small sample: Methodological advances in an international comparative study of educational inequality. International Journal of Research and Method in Education, 32(1), 103-125.
    • (2009) International Journal of Research and Method In Education , vol.32 , Issue.1 , pp. 103-125
    • Hsieh, C.1    Maier, K.S.2
  • 40
    • 0347574107 scopus 로고    scopus 로고
    • Estimation and Inference via Bayesian simulation: An introduction to Markov chain Monte Carlo
    • Jackman, S. (2000). Estimation and Inference via Bayesian simulation: An introduction to Markov chain Monte Carlo. American Journal of Political Science, 44, 375-404.
    • (2000) American Journal of Political Science , vol.44 , pp. 375-404
    • Jackman, S.1
  • 42
    • 85082894952 scopus 로고    scopus 로고
    • A repeated measures, multilevel Rasch model with application to self-reported criminal behavior
    • In C. S. Bergeman & S. M. Boker (Eds.), Notre Dame Series on Quantitative Methods. Mahwah, NJ: Erlbaum
    • Johnson, C., & Raudenbush, S. W. (2006). A repeated measures, multilevel Rasch model with application to self-reported criminal behavior. In C. S. Bergeman & S. M. Boker (Eds.), Methodological issues in aging research (pp. 131-164). Notre Dame Series on Quantitative Methods. Mahwah, NJ: Erlbaum.
    • (2006) Methodological Issues In Aging Research , pp. 131-164
    • Johnson, C.1    Raudenbush, S.W.2
  • 43
    • 67649337305 scopus 로고    scopus 로고
    • Hierarchical item response theory models
    • In C. R. Rao & S. Sinharay (Eds.), Boston: Elsevier North-Holland
    • Johnson, M. S., Sinharay, S., & Bradlow, E. T. (2007). Hierarchical item response theory models. In C. R. Rao & S. Sinharay (Eds.), Handbook of statistics: Psychometrics (Vol. 26, pp. 587-606). Boston: Elsevier North-Holland.
    • (2007) Handbook of Statistics: Psychometrics , vol.26 , pp. 587-606
    • Johnson, M.S.1    Sinharay, S.2    Bradlow, E.T.3
  • 45
    • 36148959043 scopus 로고    scopus 로고
    • Markov chain Monte Carlo estimation of item response models
    • Kim, J.-S., & Bolt, D. M. (2007). Markov chain Monte Carlo estimation of item response models. Educational Measurement: Issues and Practice, 26(4), 38-51.
    • (2007) Educational Measurement: Issues and Practice , vol.26 , Issue.4 , pp. 38-51
    • Kim, J.-S.1    Bolt, D.M.2
  • 46
    • 23844530547 scopus 로고    scopus 로고
    • Bayesian statistical inference in psychology: Comment on Trafimow (2003)
    • Lee, M. D., & Wagenmakers, E. (2005). Bayesian statistical inference in psychology: Comment on Trafimow (2003). Psychological Review, 112, 662-668.
    • (2005) Psychological Review , vol.112 , pp. 662-668
    • Lee, M.D.1    Wagenmakers, E.2
  • 47
  • 48
    • 0003459542 scopus 로고
    • Statistical theories of mental test scores
    • MA: Addison-Wesley
    • Lord, F. M., & Novick, M. R. (1968). Statistical theories of mental test scores. Reading, MA: Addison-Wesley.
    • (1968) Reading
    • Lord, F.M.1    Novick, M.R.2
  • 49
    • 18844370692 scopus 로고    scopus 로고
    • Sage University Paper Series on Quantitative Applications in the Social Sciences, Thousand Oaks, CA: Sage
    • Luke, D. A. (2004). Multilevel modeling. Sage University Paper Series on Quantitative Applications in the Social Sciences, 143. Thousand Oaks, CA: Sage.
    • (2004) Multilevel Modeling , vol.143
    • Luke, D.A.1
  • 50
    • 0442275762 scopus 로고    scopus 로고
    • Bayesian posterior predictive checks for complex models
    • Lynch, S. M., & Western, B. (2004). Bayesian posterior predictive checks for complex models. Sociological Methods and Research, 32, 301-335.
    • (2004) Sociological Methods and Research , vol.32 , pp. 301-335
    • Lynch, S.M.1    Western, B.2
  • 52
    • 0000261668 scopus 로고
    • A Rasch model for partial credit scoring
    • Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47, 149-174.
    • (1982) Psychometrika , vol.47 , pp. 149-174
    • Masters, G.N.1
  • 53
    • 0001568978 scopus 로고
    • Dynamic but structural equation modeling of repeated measures data
    • In J. R. Nesselroade & R. B. Cattell (Eds.), New York: Plenum
    • McArdle, J. J. (1988). Dynamic but structural equation modeling of repeated measures data. In J. R. Nesselroade & R. B. Cattell (Eds.), Handbook of multivariate experimental psychology (pp. 561-614). New York: Plenum.
    • (1988) Handbook of Multivariate Experimental Psychology , pp. 561-614
    • McArdle, J.J.1
  • 55
    • 33750298457 scopus 로고    scopus 로고
    • An essay on measurement and factorial invariance
    • Meredith, W., & Teresi, J. A. (2006). An essay on measurement and factorial invariance. Medical Care, 44(Suppl. 3), S69-S77.
    • (2006) Medical Care , vol.44 , Issue.SUPPL. 3
    • Meredith, W.1    Teresi, J.A.2
  • 57
    • 0040835554 scopus 로고
    • Exploiting auxiliary information about examinees in the estimation of item parameters
    • Mislevy, R. J. (1987). Exploiting auxiliary information about examinees in the estimation of item parameters. Applied Psychological Measurement, 11, 81-91.
    • (1987) Applied Psychological Measurement , vol.11 , pp. 81-91
    • Mislevy, R.J.1
  • 58
    • 0034345467 scopus 로고    scopus 로고
    • Generalized latent trait models
    • Moustaki, I., & Knott, M. (2000). Generalized latent trait models. Psychometrika, 65, 391-411.
    • (2000) Psychometrika , vol.65 , pp. 391-411
    • Moustaki, I.1    Knott, M.2
  • 59
    • 84976923244 scopus 로고
    • A generalized partial credit model: Application of an EM algorithm
    • Muraki, E. (1992). A generalized partial credit model: Application of an EM algorithm. Applied Psychological Measurement, 16, 159-176.
    • (1992) Applied Psychological Measurement , vol.16 , pp. 159-176
    • Muraki, E.1
  • 60
    • 48749147366 scopus 로고
    • Latent variable structural equation modeling with categorical data
    • Muthén, B. O. (1983). Latent variable structural equation modeling with categorical data. Journal of Econometrics, 22, 43-65.
    • (1983) Journal of Econometrics , vol.22 , pp. 43-65
    • Muthén, B.O.1
  • 61
    • 0001391849 scopus 로고
    • A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators
    • Muthén, B. O. (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators. Psychometrika, 49, 115-132.
    • (1984) Psychometrika , vol.49 , pp. 115-132
    • Muthén, B.O.1
  • 62
  • 63
    • 0013297364 scopus 로고    scopus 로고
    • Beyond SEM: General latent variable modeling
    • Muthén, B. O. (2002). Beyond SEM: General latent variable modeling. Behaviormetrika, 29, 81-117.
    • (2002) Behaviormetrika , vol.29 , pp. 81-117
    • Muthén, B.O.1
  • 65
    • 0033411905 scopus 로고    scopus 로고
    • A straightforward approach to Markov chain Monte Carlo methods for item response models
    • Patz, R. J., & Junker, B. W. (1999a). A straightforward approach to Markov chain Monte Carlo methods for item response models. Journal of Educational and Behavioral Statistics, 24, 146- 178.
    • (1999) Journal of Educational and Behavioral Statistics , vol.24 , pp. 146-178
    • Patz, R.J.1    Junker, B.W.2
  • 66
    • 0033261632 scopus 로고    scopus 로고
    • Applications and extensions of MCMC in IRT: Multiple item types, missing data, and rated responses
    • Patz, R. J., & Junker, B. W. (1999b). Applications and extensions of MCMC in IRT: Multiple item types, missing data, and rated responses. Journal of Educational and Behavioral Statistics, 24, 342-366.
    • (1999) Journal of Educational and Behavioral Statistics , vol.24 , pp. 342-366
    • Patz, R.J.1    Junker, B.W.2
  • 70
    • 33847285497 scopus 로고    scopus 로고
    • Longitudinal analysis with regressions among random effects: A latent variable modeling approach
    • Raykov, T. (2007). Longitudinal analysis with regressions among random effects: A latent variable modeling approach. Structural Equation Modeling: A Multidisciplinary Journal, 14, 146-169.
    • (2007) Structural Equation Modeling: A Multidisciplinary Journal , vol.14 , pp. 146-169
    • Raykov, T.1
  • 71
    • 84965400546 scopus 로고
    • The difficulty of test items that measure more than one ability
    • Reckase, M. D. (1985). The difficulty of test items that measure more than one ability. Applied Psychological Measurement, 9, 401-412.
    • (1985) Applied Psychological Measurement , vol.9 , pp. 401-412
    • Reckase, M.D.1
  • 72
    • 0031490684 scopus 로고    scopus 로고
    • The past and future of multidimensional item response theory
    • Reckase, M. D. (1997). The past and future of multidimensional item response theory. Applied Psychological Measurement, 21, 25-36.
    • (1997) Applied Psychological Measurement , vol.21 , pp. 25-36
    • Reckase, M.D.1
  • 74
    • 3042842243 scopus 로고    scopus 로고
    • To Bayes or not to Bayes, from whether to when: Applications of Bayesian methodology to modeling
    • Rupp, A. A., Dey, D. K., & Zumbo, B. D. (2004). To Bayes or not to Bayes, from whether to when: Applications of Bayesian methodology to modeling. Structural Equation Modeling: A Multidisciplinary Journal, 11, 424-451.
    • (2004) Structural Equation Modeling: A Multidisciplinary Journal , vol.11 , pp. 424-451
    • Rupp, A.A.1    Dey, D.K.2    Zumbo, B.D.3
  • 75
    • 0002723397 scopus 로고
    • Estimation of latent ability using a response pattern of graded scores
    • Samejima, F. (1969) Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph, 17, 1-100.
    • (1969) Psychometrika Monograph , vol.17 , pp. 1-100
    • Samejima, F.1
  • 76
    • 0002273972 scopus 로고    scopus 로고
    • Graded response model
    • In W. J. van der Linden & R. K. Hambleton (Eds.), New York: Springer
    • Samejima, F. (1997). Graded response model. In W. J. van der Linden & R. K. Hambleton (Eds.), Handbook of modern item response theory (pp. 85-100). New York: Springer.
    • (1997) Handbook of Modern Item Response Theory , pp. 85-100
    • Samejima, F.1
  • 77
    • 0037796957 scopus 로고    scopus 로고
    • Second-order latent growth models
    • In L. M. Collins & A. G. Sayer (Eds.), Washington, DC: American Psychological Association
    • Sayer, A. G., & Cumsille, P. E. (2001). Second-order latent growth models. In L. M. Collins & A. G. Sayer (Eds.), New methods for the analysis of change (pp. 179-200). Washington, DC: American Psychological Association.
    • (2001) New Methods For the Analysis of Change , pp. 179-200
    • Sayer, A.G.1    Cumsille, P.E.2
  • 78
    • 0033247467 scopus 로고    scopus 로고
    • Bayesian estimation and testing of structural equation models
    • Scheines, R., Hoijtink, H., & Boomsma, A. (1999). Bayesian estimation and testing of structural equation models. Psychometrika, 64, 37-52.
    • (1999) Psychometrika , vol.64 , pp. 37-52
    • Scheines, R.1    Hoijtink, H.2    Boomsma, A.3
  • 79
    • 77953488881 scopus 로고    scopus 로고
    • Growth curve modeling
    • In B. S. Everitt & D. C. Howell (Eds.), London: Wiley
    • Singer, J. D., & Willett, J. B. (2005). Growth curve modeling. In B. S. Everitt & D. C. Howell (Eds.), Encyclopedia of statistics in behavioral science (Vol. 2, pp. 772-779), London: Wiley.
    • (2005) Encyclopedia of Statistics In Behavioral Science , vol.2 , pp. 772-779
    • Singer, J.D.1    Willett, J.B.2
  • 80
    • 10044254876 scopus 로고    scopus 로고
    • Some applications of generalized linear latent and mixed models in epidemiology: Repeated measures, measurement error and multilevel modeling
    • Skrondal, A., & Rabe-Hesketh, S. (2003). Some applications of generalized linear latent and mixed models in epidemiology: Repeated measures, measurement error and multilevel modeling. Norsk Epidemiologi, 13, 265-278.
    • (2003) Norsk Epidemiologi , vol.13 , pp. 265-278
    • Skrondal, A.1    Rabe-Hesketh, S.2
  • 84
    • 2442457754 scopus 로고    scopus 로고
    • Correlates and predictors of violent behavior among adolescent drinkers
    • Swahn, M., & Donovan, J. (2003). Correlates and predictors of violent behavior among adolescent drinkers. Journal of Adolescent Health, 34, 480-492.
    • (2003) Journal of Adolescent Health , vol.34 , pp. 480-492
    • Swahn, M.1    Donovan, J.2
  • 86
    • 34248530861 scopus 로고    scopus 로고
    • Bayesian analysis in Stata with WinBUGS
    • Thompson, J., Palmer, T., & Moreno, S. (2006). Bayesian analysis in Stata with WinBUGS. The Stata Journal, 6, 530-549.
    • (2006) The Stata Journal , vol.6 , pp. 530-549
    • Thompson, J.1    Palmer, T.2    Moreno, S.3
  • 87
    • 0002117784 scopus 로고
    • Learning theory and multivariate experiment: Illustration of determination of generalized learning curves
    • In R. B. Cattell (Ed.), New York: Rand McNally
    • Tucker, L. R. (1966). Learning theory and multivariate experiment: Illustration of determination of generalized learning curves. In R. B. Cattell (Ed.), Handbook of multivariate experimental psychology (pp. 476-501). New York: Rand McNally.
    • (1966) Handbook of Multivariate Experimental Psychology , pp. 476-501
    • Tucker, L.R.1
  • 89
    • 85145128524 scopus 로고    scopus 로고
    • Growth models for categorical response variables: Standard, latent-class, and hybrid approaches
    • In K. van Montfort, J. Oud, & A. Satorra (Eds.), Mahwah, NJ: Erlbaum
    • Vermunt, J. (2007). Growth models for categorical response variables: Standard, latent-class, and hybrid approaches. In K. van Montfort, J. Oud, & A. Satorra (Eds.), Longitudinal models in the behavioral and related sciences (pp. 139-158). Mahwah, NJ: Erlbaum.
    • (2007) Longitudinal Models In the Behavioral and Related Sciences , pp. 139-158
    • Vermunt, J.1
  • 90
    • 0033176936 scopus 로고    scopus 로고
    • Bayesian analysis for sociologists: An introduction
    • Western, B. (1999). Bayesian analysis for sociologists: An introduction. Sociological Methods and Research, 28, 7-34.
    • (1999) Sociological Methods and Research , vol.28 , pp. 7-34
    • Western, B.1
  • 93
    • 12044258058 scopus 로고
    • Using covariance structure analysis to detect correlates and predictors of individual change over time
    • Willett, J. B., & Sayer, A. G. (1994). Using covariance structure analysis to detect correlates and predictors of individual change over time. Psychological Bulletin, 116, 363-381.
    • (1994) Psychological Bulletin , vol.116 , pp. 363-381
    • Willett, J.B.1    Sayer, A.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.