메뉴 건너뛰기




Volumn 17, Issue 4, 2012, Pages 582-599

Individual influence on model selection

Author keywords

Case influence; Experimental design; Model selection; Psychology; Sensitivity analysis

Indexed keywords

ARTICLE; BAYES THEOREM; CHI SQUARE DISTRIBUTION; DECISION SUPPORT SYSTEM; HUMAN; METHODOLOGY; PSYCHOLOGICAL MODEL; PSYCHOLOGY; STATISTICAL MODEL; THEORETICAL MODEL;

EID: 84874399238     PISSN: 1082989X     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0029253     Document Type: Article
Times cited : (23)

References (93)
  • 2
    • 84874448301 scopus 로고
    • Burlington, VT: University of Vermont, Department of Psychiatry and 1992 profile
    • Achenbach, T. M. (1992). Manual for the Child Behavior Checklist/2-3 and 1992 profile. Burlington, VT: University of Vermont, Department of Psychiatry.
    • (1992) Manual for the Child Behavior Checklist , Issue.2-3
    • Achenbach, T.M.1
  • 3
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • doi:10.1109/ TAC.1974.1100705
    • Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716-723. doi:10.1109/ TAC.1974.1100705
    • (1974) IEEE Transactions on Automatic Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 4
    • 0002914202 scopus 로고    scopus 로고
    • Full information estimation in the presence of incomplete data
    • G. A. Marcoulides & R. E. Schumacker (Eds.), Mahwah, NJ: Erlbaum.
    • Arbuckle, J. L. (1996). Full information estimation in the presence of incomplete data. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling (pp. 243-276). Mahwah, NJ: Erlbaum.
    • (1996) Advanced structural equation modeling , pp. 243-276
    • Arbuckle, J.L.1
  • 5
    • 77952421999 scopus 로고    scopus 로고
    • A robust and diagnostic information criterion for selecting regression models
    • Atkinson, A. C., & Riani, M. (2008). A robust and diagnostic information criterion for selecting regression models. Journal of the Japanese Statistical Society, 38, 3-14.
    • (2008) Journal of the Japanese Statistical Society , vol.38 , pp. 3-14
    • Atkinson, A.C.1    Riani, M.2
  • 6
    • 66349091570 scopus 로고    scopus 로고
    • Psychometric approaches for developing commensurate measures across independent studies: Traditional and new models
    • doi: 10.1037/a0015583
    • Bauer, D. J., & Hussong, A. M. (2009). Psychometric approaches for developing commensurate measures across independent studies: Traditional and new models. Psychological Methods, 14, 101-125. doi: 10.1037/a0015583
    • (2009) Psychological Methods , vol.14 , pp. 101-125
    • Bauer, D.J.1    Hussong, A.M.2
  • 7
    • 33750452072 scopus 로고
    • Masking effect on tests for outliers in normal samples
    • doi:10.1093/biomet/ 74.4.891
    • Bendre, S. M., & Kale, B. K. (1987). Masking effect on tests for outliers in normal samples. Biometrika, 74, 891-896. doi:10.1093/biomet/ 74.4.891
    • (1987) Biometrika , vol.74 , pp. 891-896
    • Bendre, S.M.1    Kale, B.K.2
  • 8
    • 85101432319 scopus 로고
    • Structural equations with latent variables
    • New York, NY: Wiley
    • Bollen, K. A. (1989). Structural equations with latent variables. New York, NY: Wiley.
    • (1989)
    • Bollen, K.A.1
  • 11
    • 84965455705 scopus 로고
    • Alternative ways of assessing model fit
    • doi:10.1177/ 0049124192021002005
    • Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21, 230-258. doi:10.1177/ 0049124192021002005
    • (1992) Sociological Methods & Research , vol.21 , pp. 230-258
    • Browne, M.W.1    Cudeck, R.2
  • 15
    • 0002033084 scopus 로고
    • Local influence in structural equation models
    • doi:10.1080/ 10705519509539992
    • Cadigan, N. G. (1995). Local influence in structural equation models. Structural Equation Modeling, 2, 13-30. doi:10.1080/ 10705519509539992
    • (1995) Structural Equation Modeling , vol.2 , pp. 13-30
    • Cadigan, N.G.1
  • 16
    • 84972496372 scopus 로고
    • Influential observations, high leverage points, and outliers in linear regression
    • doi:10.1214/ss/1177013622
    • Chatterjee, S., & Hadi, A. (1986). Influential observations, high leverage points, and outliers in linear regression. Statistical Science, 1, 379-393. doi:10.1214/ss/1177013622
    • (1986) Statistical Science , vol.1 , pp. 379-393
    • Chatterjee, S.1    Hadi, A.2
  • 17
    • 84891490109 scopus 로고    scopus 로고
    • The effect of outliers on the performance of order selection criteria for short time series
    • Chik, Z. (2002). The effect of outliers on the performance of order selection criteria for short time series. Pakistan Journal of Applied Sciences, 2, 912-915.
    • (2002) Pakistan Journal of Applied Sciences , vol.2 , pp. 912-915
    • Chik, Z.1
  • 18
    • 33644695598 scopus 로고    scopus 로고
    • Evaluating latent growth curve models using individual fit statistics
    • doi:10.1207/s15328007sem1301_1
    • Coffman, D. L., & Millsap, R. E. (2006). Evaluating latent growth curve models using individual fit statistics. Structural Equation Modeling, 13, 1-27. doi:10.1207/s15328007sem1301_1
    • (2006) Structural Equation Modeling , vol.13 , pp. 1-27
    • Coffman, D.L.1    Millsap, R.E.2
  • 20
    • 0003519438 scopus 로고    scopus 로고
    • Applied multiple regression/correlation analysis for the behavioral sciences
    • Mahwah, NJ: Erlbaum
    • Cohen, J., Cohen, P., West, S., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences. Mahwah, NJ: Erlbaum.
    • (2003)
    • Cohen, J.1    Cohen, P.2    West, S.3    Aiken, L.S.4
  • 21
    • 84952094529 scopus 로고
    • Detection of influential observations in linear regression
    • doi:10.2307/1268249
    • Cook, R. (1977). Detection of influential observations in linear regression. Technometrics, 19, 15-18. doi:10.2307/1268249
    • (1977) Technometrics , vol.19 , pp. 15-18
    • Cook, R.1
  • 23
    • 0020847794 scopus 로고
    • Transformations and influential cases in regression
    • Cook, R. D., & Wang, P. C. (1983). Transformations and influential cases in regression, Technometrics, 25, 337-343.
    • (1983) Technometrics , vol.25 , pp. 337-343
    • Cook, R.D.1    Wang, P.C.2
  • 24
    • 0019532355 scopus 로고
    • Influential observations and outliers in regression
    • Draper, N. R., & John, J. A. (1981). Influential observations and outliers in regression. Technometrics, 23, 21-26.
    • (1981) Technometrics , vol.23 , pp. 21-26
    • Draper, N.R.1    John, J.A.2
  • 27
    • 25644445526 scopus 로고    scopus 로고
    • Applied longitudinal analysis
    • Hoboken, NJ: Wiley
    • Fitzmaurice, G., Laird, N., & Ware, J. (2004). Applied longitudinal analysis. Hoboken, NJ: Wiley.
    • (2004)
    • Fitzmaurice, G.1    Laird, N.2    Ware, J.3
  • 28
    • 0024503860 scopus 로고
    • Modeling and variable selection in epidemiological analysis
    • doi:10.2105/ AJPH.79.3.340
    • Greenland, S. (1989). Modeling and variable selection in epidemiological analysis. American Journal of Public Health, 79, 340-349. doi:10.2105/ AJPH.79.3.340
    • (1989) American Journal of Public Health , vol.79 , pp. 340-349
    • Greenland, S.1
  • 29
    • 84858446798 scopus 로고    scopus 로고
    • Model selection based on information criteria in multilevel modeling
    • J. Hox & J. K. Roberts (Eds.), New York, NY: Taylor & Francis.
    • Hamaker, E. L., van Hattum, P., Kuiper, R. M., & Hoijtink, H. (2011). Model selection based on information criteria in multilevel modeling. In J. Hox & J. K. Roberts (Eds.), Handbook of advanced multilevel analysis (pp. 231-255). New York, NY: Taylor & Francis.
    • (2011) Handbook of advanced multilevel analysis , pp. 231-255
    • Hamaker, E.L.1    van Hattum, P.2    Kuiper, R.M.3    Hoijtink, H.4
  • 31
    • 0030194062 scopus 로고    scopus 로고
    • A method for simultaneous variable selection and outlier identification in linear regression
    • doi:10.1016/ 0167-9473(95)00053-4
    • Hoeting, J., Raftery, A. E., & Madigan, D. (1996). A method for simultaneous variable selection and outlier identification in linear regression. Computational Statistics and Data Analysis, 22, 251-270. doi:10.1016/ 0167-9473(95)00053-4
    • (1996) Computational Statistics and Data Analysis , vol.22 , pp. 251-270
    • Hoeting, J.1    Raftery, A.E.2    Madigan, D.3
  • 33
    • 0035540910 scopus 로고    scopus 로고
    • Factor analysis of ordinal vari-ables: A comparison of three approaches
    • doi:10.1207/S15327906347-387
    • Jöreskog, K. G., & Moustaki, I. (2001). Factor analysis of ordinal vari-ables: A comparison of three approaches. Multivariate Behavioral Research, 36, 347-387. doi:10.1207/S15327906347-387
    • (2001) Multivariate Behavioral Research , vol.36 , pp. 347-387
    • Jöreskog, K.G.1    Moustaki, I.2
  • 34
    • 34250176929 scopus 로고    scopus 로고
    • IRT model selection methods for dichotomous items
    • doi:10.1177/0146621606292213
    • Kang, T., & Cohen, A. S. (2007). IRT model selection methods for dichotomous items. Applied Psychological Measurement, 31, 331-358. doi:10.1177/0146621606292213
    • (2007) Applied Psychological Measurement , vol.31 , pp. 331-358
    • Kang, T.1    Cohen, A.S.2
  • 35
    • 79954608553 scopus 로고    scopus 로고
    • Testing for measurement invariance with latent class analysis
    • In E. Davidov, P. Schmidt, & J. B. Billiet (Eds.), Routledge
    • Kankaras, M., Moors, G., & Vermunt, J. K. (2009). Testing for measurement invariance with latent class analysis. In E. Davidov, P. Schmidt, & J. B. Billiet (Eds.), Cross-cultural analysis: Methods and applications. Routledge.
    • (2009) Cross-cultural analysis: Methods and applications.
    • Kankaras, M.1    Moors, G.2    Vermunt, J.K.3
  • 36
    • 0142230930 scopus 로고    scopus 로고
    • Comparing the aberrant response detection performance of thirty-six person-fit statistics
    • doi:10.1207/S15324818AME1604_2
    • Karabatsos, G. (2003). Comparing the aberrant response detection performance of thirty-six person-fit statistics. Applied Measurement in Education, 16, 277-298. doi:10.1207/S15324818AME1604_2
    • (2003) Applied Measurement in Education , vol.16 , pp. 277-298
    • Karabatsos, G.1
  • 37
    • 8744255562 scopus 로고    scopus 로고
    • AIC and BIC: Comparisons of assumptions and performance
    • doi:10.1177/ 0049124103262065
    • Kuha, J. (2004). AIC and BIC: Comparisons of assumptions and performance. Sociological Methods & Research, 33, 188-229. doi:10.1177/ 0049124103262065
    • (2004) Sociological Methods & Research , vol.33 , pp. 188-229
    • Kuha, J.1
  • 38
    • 0017165430 scopus 로고
    • Extensions to pedigree analysis: III. Variance components by the scoring method.
    • doi:10.1111/j.1469-1809.1976.tb00156.x
    • Lange, K., Westlake, J., & Spence, M. (1976). Extensions to pedigree analysis: III. Variance components by the scoring method. Annals of Human Genetics, 39, 485-491. doi:10.1111/j.1469-1809.1976.tb00156.x
    • (1976) Annals of Human Genetics , vol.39 , pp. 485-491
    • Lange, K.1    Westlake, J.2    Spence, M.3
  • 40
    • 0000915967 scopus 로고    scopus 로고
    • Robust Bayesian model selection for autoregressive processes with additive outliers
    • Le, N. D., Raftery, A. E., & Martin, R. D. (1996). Robust Bayesian model selection for autoregressive processes with additive outliers. Journal of the American Statistical Association, 91, 123-131.
    • (1996) Journal of the American Statistical Association , vol.91 , pp. 123-131
    • Le, N.D.1    Raftery, A.E.2    Martin, R.D.3
  • 41
    • 0344120626 scopus 로고    scopus 로고
    • Case-deletion diagnostics for nonlinear structural equation models
    • doi:10.1207/S15327906MBR3803_05
    • Lee, S. Y., & Lu, B. (2003). Case-deletion diagnostics for nonlinear structural equation models, Multivariate Behavioral Research, 38, 375- 400. doi:10.1207/S15327906MBR3803_05
    • (2003) Multivariate Behavioral Research , vol.38 , pp. 375-400
    • Lee, S.Y.1    Lu, B.2
  • 42
    • 0030493184 scopus 로고    scopus 로고
    • Sensitivity analysis of structural equation models
    • doi:10.1007/BF02296960
    • Lee, S. Y., & Wang, S. J. (1996). Sensitivity analysis of structural equation models. Psychometrika, 61, 93-108. doi:10.1007/BF02296960
    • (1996) Psychometrika , vol.61 , pp. 93-108
    • Lee, S.Y.1    Wang, S.J.2
  • 43
    • 0037259984 scopus 로고    scopus 로고
    • Case-deletion diagnostic for factor analysis model with continuous and ordinal categorical data
    • doi:10.1177/0049124102239081
    • Lee, S. Y., & Xu, L. (2003a). Case-deletion diagnostic for factor analysis model with continuous and ordinal categorical data. Sociological Methods & Research, 31, 389-419. doi:10.1177/0049124102239081
    • (2003) Sociological Methods & Research , vol.31 , pp. 389-419
    • Lee, S.Y.1    Xu, L.2
  • 44
    • 0347588417 scopus 로고    scopus 로고
    • On local influence analysis of full information item factor models
    • Lee, S. Y., & Xu, L. (2003b). On local influence analysis of full information item factor models, Psychometrika, 68, 339-360. doi:10.1007/BF02294731
    • (2003) Psychometrika , vol.68 , pp. 339-360
    • Lee, S.Y.1    Xu, L.2
  • 45
    • 0037502887 scopus 로고    scopus 로고
    • Working with imperfect models
    • doi:10.1207/S15327906MBR3801_5
    • MacCallum, R. C. (2003). Working with imperfect models. Multivariate Behavioral Research, 38, 113-139. doi:10.1207/S15327906MBR3801_5
    • (2003) Multivariate Behavioral Research , vol.38 , pp. 113-139
    • MacCallum, R.C.1
  • 46
    • 51749106981 scopus 로고    scopus 로고
    • Detecting outliers in factor analysis using the forward search algorithm
    • doi:10.1080/00273170802285909
    • Mavridis, D., & Moustaki, I. (2008). Detecting outliers in factor analysis using the forward search algorithm. Multivariate Behavioral Research, 43, 453-475. doi:10.1080/00273170802285909
    • (2008) Multivariate Behavioral Research , vol.43 , pp. 453-475
    • Mavridis, D.1    Moustaki, I.2
  • 48
    • 12744265021 scopus 로고    scopus 로고
    • Modeling longitudinal data by latent growth curve models
    • G. Marcoulides (Ed.), Mahwah, NJ: Erlbaum.
    • McArdle, J. J. (1997). Modeling longitudinal data by latent growth curve models. In G. Marcoulides (Ed.), New statistical models with business and economic applications (pp. 359-406). Mahwah, NJ: Erlbaum.
    • (1997) New statistical models with business and economic applications , pp. 359-406
    • McArdle, J.J.1
  • 51
    • 0041777704 scopus 로고    scopus 로고
    • Diagnosing item score patterns on a test using item response theory-based person-fit statistics
    • doi:10.1037/1082-989X.8.1.72
    • Meijer, R. R. (2003). Diagnosing item score patterns on a test using item response theory-based person-fit statistics. Psychological Methods, 8, 72-87. doi:10.1037/1082-989X.8.1.72
    • (2003) Psychological Methods , vol.8 , pp. 72-87
    • Meijer, R.R.1
  • 52
    • 0035532153 scopus 로고    scopus 로고
    • Methodology review: Evaluating person fit
    • doi: 10.1177/01466210122031957
    • Meijer, R. R., & Sitjsma, K. (2001). Methodology review: Evaluating person fit. Applied Psychological Measurement, 25, 107-135. doi: 10.1177/01466210122031957
    • (2001) Applied Psychological Measurement , vol.25 , pp. 107-135
    • Meijer, R.R.1    Sitjsma, K.2
  • 53
    • 77951661334 scopus 로고    scopus 로고
    • Testing measurement invariance using item response theory in longitudinal data: An introduction
    • doi:10.1111/j.1750-8606.2009.00109.x
    • Millsap, R. E. (2010). Testing measurement invariance using item response theory in longitudinal data: An introduction. Child Development Perspectives, 4, 5-9. doi:10.1111/j.1750-8606.2009.00109.x
    • (2010) Child Development Perspectives , vol.4 , pp. 5-9
    • Millsap, R.E.1
  • 54
    • 11144255784 scopus 로고    scopus 로고
    • Assessing factorial invariance in ordered-categorical measures
    • doi:10.1207/S15327906MBR3903_4
    • Millsap, R. E., & Yun-Tein, J. (2004). Assessing factorial invariance in ordered-categorical measures. Multivariate Behavioral Research, 39, 479-515. doi:10.1207/S15327906MBR3903_4
    • (2004) Multivariate Behavioral Research , vol.39 , pp. 479-515
    • Millsap, R.E.1    Yun-Tein, J.2
  • 55
    • 8344247701 scopus 로고    scopus 로고
    • Factor models for ordinal variables with covariate effects on the manifest and latent variables: A comparison of LISREL and IRT approaches
    • doi:10.1207/s15328007sem1104_1
    • Moustaki, I., Jöreskog, K. G., & Mavridis, D. (2004). Factor models for ordinal variables with covariate effects on the manifest and latent variables: A comparison of LISREL and IRT approaches. Structural Equation Modeling, 11, 487-513. doi:10.1207/s15328007sem1104_1
    • (2004) Structural Equation Modeling , vol.11 , pp. 487-513
    • Moustaki, I.1    Jöreskog, K.G.2    Mavridis, D.3
  • 57
    • 0041684029 scopus 로고
    • An international marketing application of outlier analysis for structural equations: A methodological note
    • Mullen, M. R., Milne, G. R., & Doney, P. M. (1995). An international marketing application of outlier analysis for structural equations: A methodological note. Journal of International Marketing, 3, 45-62.
    • (1995) Journal of International Marketing , vol.3 , pp. 45-62
    • Mullen, M.R.1    Milne, G.R.2    Doney, P.M.3
  • 58
    • 0001411838 scopus 로고
    • Latent variable modeling in heterogeneous populations
    • doi:10.1007/BF02296397
    • Muthén, B. O. (1989). Latent variable modeling in heterogeneous populations. Psychometrika, 54, 557-585. doi:10.1007/BF02296397
    • (1989) Psychometrika , vol.54 , pp. 557-585
    • Muthén, B.O.1
  • 61
    • 33750393339 scopus 로고    scopus 로고
    • Model evaluation, testing and selection
    • In K. Lambert & R. Goldstone (Eds.), London, England: Sage
    • Myung, I. J., Pitt, M. A., & Kim, W. (2005). Model evaluation, testing and selection. In K. Lambert & R. Goldstone (Eds.), The handbook of cognition, pp. 422-436. London, England: Sage.
    • (2005) The handbook of cognition
    • Myung, I.J.1    Pitt, M.A.2    Kim, W.3
  • 62
    • 0005762457 scopus 로고    scopus 로고
    • Individual fit, heterogeneity, and missing data in multigroup structural equation modeling
    • T. Little, K. Schnabel, & J. Baumert (Ed.), Mahwah, NJ: Erlbaum.
    • Neale, M. (2000). Individual fit, heterogeneity, and missing data in multigroup structural equation modeling. In T. Little, K. Schnabel, & J. Baumert (Ed.), Modeling longitudinal and multilevel data: Practical issues, applied approaches, and specific examples (pp. 249-267). Mahwah, NJ: Erlbaum.
    • (2000) Modeling longitudinal and multilevel data: Practical issues, applied approaches, and specific examples , pp. 249-267
    • Neale, M.1
  • 65
    • 79957609728 scopus 로고    scopus 로고
    • Sensitivity analysis in structural equation models: Cases and their influence
    • doi:10.1080/00273171.2011.561068
    • Pek, J., & MacCallum, R. C. (2011). Sensitivity analysis in structural equation models: Cases and their influence. Multivariate Behavioral Research, 46, 202-228. doi:10.1080/00273171.2011.561068
    • (2011) Multivariate Behavioral Research , vol.46 , pp. 202-228
    • Pek, J.1    MacCallum, R.C.2
  • 66
    • 0036583074 scopus 로고    scopus 로고
    • Influential observations in the estimation of mean vector and covariance matrix
    • doi:10.1348/ 000711002159644
    • Poon, W.-Y., & Poon, Y. S. (2002). Influential observations in the estimation of mean vector and covariance matrix. British Journal of Mathematical and Statistical Psychology, 55, 177-192. doi:10.1348/ 000711002159644
    • (2002) British Journal of Mathematical and Statistical Psychology , vol.55 , pp. 177-192
    • Poon, W.-Y.1    Poon, Y.S.2
  • 67
    • 0000350475 scopus 로고
    • Logistic regression diagnostics
    • doi:10.1214/aos/1176345513
    • Pregibon, D. (1981). Logistic regression diagnostics. The Annals of Statistics, 9, 705-724. doi:10.1214/aos/1176345513
    • (1981) The Annals of Statistics , vol.9 , pp. 705-724
    • Pregibon, D.1
  • 68
    • 0001201909 scopus 로고
    • Bayesian model selection in social research
    • doi:10.2307/271063
    • Raftery, A. E. (1995). Bayesian model selection in social research. Sociological Methodology, 25, 111-163. doi:10.2307/271063
    • (1995) Sociological Methodology , vol.25 , pp. 111-163
    • Raftery, A.E.1
  • 69
    • 0034346292 scopus 로고    scopus 로고
    • Using multilevel logistic regression to evaluate personfit in IRT models
    • doi:10.1207/S15327906MBR3504_06
    • Reise, S. P. (2000). Using multilevel logistic regression to evaluate personfit in IRT models. Multivariate Behavioral Research, 35, 543-568. doi:10.1207/S15327906MBR3504_06
    • (2000) Multivariate Behavioral Research , vol.35 , pp. 543-568
    • Reise, S.P.1
  • 70
    • 67650110730 scopus 로고    scopus 로고
    • Item response theory and clinical measurement
    • doi: 10.1146/annurev.clinpsy.032408.153553
    • Reise, S. P., & Waller, N. G. (2009). Item response theory and clinical measurement. Annual Review of Clinical Psychology, 5, 27-48. doi: 10.1146/annurev.clinpsy.032408.153553
    • (2009) Annual Review of Clinical Psychology , vol.5 , pp. 27-48
    • Reise, S.P.1    Waller, N.G.2
  • 71
    • 0033412361 scopus 로고    scopus 로고
    • Assessing the fit of measurement models at the individual level: A comparison of item response theory and covariance structure approaches
    • doi:10.1037/1082-989X.4.1.3
    • Reise, S. P., & Widaman, K. F. (1999). Assessing the fit of measurement models at the individual level: A comparison of item response theory and covariance structure approaches. Psychological Methods, 4, 3-21. doi:10.1037/1082-989X.4.1.3
    • (1999) Psychological Methods , vol.4 , pp. 3-21
    • Reise, S.P.1    Widaman, K.F.2
  • 72
    • 0027691194 scopus 로고
    • Confirmatory factor analysis and item response theory: Two approaches for exploring measurement invariance
    • doi: 10.1037/0033-2909.114.3.552
    • Reise, S. P., Widaman, K. F., & Pugh, R. H. (1993). Confirmatory factor analysis and item response theory: Two approaches for exploring measurement invariance. Psychological Bulletin, 114, 552-566. doi: 10.1037/0033-2909.114.3.552
    • (1993) Psychological Bulletin , vol.114 , pp. 552-566
    • Reise, S.P.1    Widaman, K.F.2    Pugh, R.H.3
  • 73
    • 22044447728 scopus 로고    scopus 로고
    • Identification of influential cases in structural equation modeling using the jackknife method
    • doi:10.1177/ 109442819923005
    • Rensvold, R. B., & Cheung, G. W. (1999). Identification of influential cases in structural equation modeling using the jackknife method. Organizational Research Methods, 2, 293-308. doi:10.1177/ 109442819923005
    • (1999) Organizational Research Methods , vol.2 , pp. 293-308
    • Rensvold, R.B.1    Cheung, G.W.2
  • 74
    • 0001042798 scopus 로고
    • Ecological correlations and the behavior of individuals
    • doi:10.2307/ 2087176
    • Robinson, W. S. (1950). Ecological correlations and the behavior of individuals. American Sociological Review, 15, 351-357. doi:10.2307/ 2087176
    • (1950) American Sociological Review , vol.15 , pp. 351-357
    • Robinson, W.S.1
  • 75
    • 74049152809 scopus 로고    scopus 로고
    • The epistemology of mathematical and statistical modeling: A quiet methodological revolution
    • doi:10.1037/a0018326
    • Rodgers, J. L. (2010). The epistemology of mathematical and statistical modeling: A quiet methodological revolution. American Psychologist, 65, 1-12. doi:10.1037/a0018326
    • (2010) American Psychologist , vol.65 , pp. 1-12
    • Rodgers, J.L.1
  • 76
    • 0031485477 scopus 로고    scopus 로고
    • Robustness aspects of model choice
    • Ronchetti, E. (1997). Robustness aspects of model choice. Statistica Sinica, 7, 327-338.
    • (1997) Statistica Sinica , vol.7 , pp. 327-338
    • Ronchetti, E.1
  • 78
    • 0032816085 scopus 로고    scopus 로고
    • Likelihood-based diagnostics for influential individuals in non-linear mixed effects model selection
    • doi:10.1023/A: 1014857832337
    • Sadray, S., Jonsson, E. N., & Karlsson, M. O. (1999). Likelihood-based diagnostics for influential individuals in non-linear mixed effects model selection. Pharmaceutical Research, 16, 1260-1265. doi:10.1023/A: 1014857832337
    • (1999) Pharmaceutical Research , vol.16 , pp. 1260-1265
    • Sadray, S.1    Jonsson, E.N.2    Karlsson, M.O.3
  • 79
    • 45449111368 scopus 로고    scopus 로고
    • Constrained versus unconstrained estimation in structural equation modeling
    • doi:10.1037/1082-989X.13.2.150
    • Savalei, V., & Kolenikov, S. (2008). Constrained versus unconstrained estimation in structural equation modeling. Psychological Methods, 13, 150-170. doi:10.1037/1082-989X.13.2.150
    • (2008) Psychological Methods , vol.13 , pp. 150-170
    • Savalei, V.1    Kolenikov, S.2
  • 80
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • doi:10.1214/aos/1176344136
    • Schwarz, G. E. (1978). Estimating the dimension of a model. Annals of Statistics, 6, 461-464. doi:10.1214/aos/1176344136
    • (1978) Annals of Statistics , vol.6 , pp. 461-464
    • Schwarz, G.E.1
  • 82
    • 0000402849 scopus 로고
    • Outliers and influential data points in regression analysis
    • doi:10.1037/00332909.95.2.334
    • Stevens, J. P. (1984). Outliers and influential data points in regression analysis. Psychological Bulletin, 95, 334-344. doi:10.1037/00332909.95.2.334
    • (1984) Psychological Bulletin , vol.95 , pp. 334-344
    • Stevens, J.P.1
  • 83
    • 33845670403 scopus 로고    scopus 로고
    • On the likelihood ratio test in structural equation modeling when parameters are subject to boundary constraints
    • doi:10.1037/1082-989X.11.4.439
    • Stoel, R. D., Garre, F. G., Dolan, C., & van den Wittenboer, G. (2006). On the likelihood ratio test in structural equation modeling when parameters are subject to boundary constraints. Psychological Methods, 11, 439- 455. doi:10.1037/1082-989X.11.4.439
    • (2006) Psychological Methods , vol.11
    • Stoel, R.D.1    Garre, F.G.2    Dolan, C.3    van den Wittenboer, G.4
  • 84
    • 0000859675 scopus 로고
    • An asymptotic equivalence of choice of model by cross-validation and Akaike's criterion
    • Stone, M. (1977). An asymptotic equivalence of choice of model by cross-validation and Akaike's criterion. Journal of the Royal Statistical Society, Series B, 39, 44-47.
    • (1977) Journal of the Royal Statistical Society, Series B , vol.39 , pp. 44-47
    • Stone, M.1
  • 85
    • 67649353051 scopus 로고    scopus 로고
    • Assessing the fit of item response theory models
    • C. R. Rao & S. Sinharay (Eds.), Amsterdam, the Netherlands: Elsevier.
    • Swaminathan, H., Hambleton, R. K., & Rogers, H. J. (2007). Assessing the fit of item response theory models. In C. R. Rao & S. Sinharay (Eds.), Handbook of statistics: Vol. 26. Psychometrics (pp. 683-718). Amsterdam, the Netherlands: Elsevier.
    • (2007) Handbook of statistics: Vol. 26. Psychometrics , pp. 683-718
    • Swaminathan, H.1    Hambleton, R.K.2    Rogers, H.J.3
  • 86
    • 0000565230 scopus 로고
    • Influence in covariance structure analysis: With an application to confirmatory factor analysis
    • doi:10.1080/03610929108830742
    • Tanaka, Y., Watadani, S., & Moon, S. H. (1991). Influence in covariance structure analysis: With an application to confirmatory factor analysis. Communications in Statistics: Theory and Method, 20, 3805-3821. doi:10.1080/03610929108830742
    • (1991) Communications in Statistics: Theory and Method , vol.20 , pp. 3805-3821
    • Tanaka, Y.1    Watadani, S.2    Moon, S.H.3
  • 87
    • 0003012109 scopus 로고
    • Beyond group-mean differences: The concept of item bias
    • doi:10.1037/0033-2909.99.1.118
    • Thissen, D., Steinberg, L., & Gerrard, M. (1986). Beyond group-mean differences: The concept of item bias. Psychological Bulletin, 99, 118- 128. doi:10.1037/0033-2909.99.1.118
    • (1986) Psychological Bulletin , vol.99
    • Thissen, D.1    Steinberg, L.2    Gerrard, M.3
  • 89
    • 2442599176 scopus 로고    scopus 로고
    • AIC model selection using Akaike weights
    • doi:10.3758/ BF03206482
    • Wagenmakers, E., & Farrell, S. (2004). AIC model selection using Akaike weights. Psychonomic Bulletin & Review, 11, 192-196. doi:10.3758/ BF03206482
    • (2004) Psychonomic Bulletin & Review , vol.11 , pp. 192-196
    • Wagenmakers, E.1    Farrell, S.2
  • 90
    • 33750305248 scopus 로고    scopus 로고
    • Deletion measures for generalized linear mixed effects models
    • doi:10.1016/j.csda.2005.11.009
    • Xu, L., Lee, S. Y., & Poon, W. Y. (2006). Deletion measures for generalized linear mixed effects models. Computational Statistics & Data Analysis, 51, 1131-1146. doi:10.1016/j.csda.2005.11.009
    • (2006) Computational Statistics & Data Analysis , vol.51 , pp. 1131-1146
    • Xu, L.1    Lee, S.Y.2    Poon, W.Y.3
  • 92
    • 0742271334 scopus 로고    scopus 로고
    • Local influence for generalized linear mixed models
    • doi: 10.2307/3316088
    • Zhu, H. T., & Lee, S. Y. (2003). Local influence for generalized linear mixed models, Canadian Journal of Statistics, 31, 293-309. doi: 10.2307/3316088
    • (2003) Canadian Journal of Statistics , vol.31 , pp. 293-309
    • Zhu, H.T.1    Lee, S.Y.2
  • 93
    • 77951161696 scopus 로고    scopus 로고
    • Local influence and robust procedures for mediation analysis
    • doi: 10.1080/00273170903504695
    • Zu, J., & Yuan, K.-H. (2010). Local influence and robust procedures for mediation analysis. Multivariate Behavioral Research, 45, 1-44. doi: 10.1080/00273170903504695
    • (2010) Multivariate Behavioral Research , vol.45 , pp. 1-44
    • Zu, J.1    Yuan, K.-H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.