-
1
-
-
84936025682
-
Estimation of linear models with incomplete data
-
C. C. Clogg (Ed.). San Francisco: Jossey-Bass
-
Allison, P. D. (1987). Estimation of linear models with incomplete data. In C. C. Clogg (Ed.), Sociological methodology (pp. 71-103). San Francisco: Jossey-Bass.
-
(1987)
Sociological Methodology
, pp. 71-103
-
-
Allison, P.D.1
-
2
-
-
0000254441
-
Maximum likelihood estimates for a multivariate normal distribution when some observations are missing
-
Anderson, T. W. (1957). Maximum likelihood estimates for a multivariate normal distribution when some observations are missing. Journal of the American Statistical Association, 52, 200-203.
-
(1957)
Journal of the American Statistical Association
, vol.52
, pp. 200-203
-
-
Anderson, T.W.1
-
3
-
-
0002914202
-
Full information estimation in the presence of incomplete data
-
G. A. Marcoulides & R. E. Schumacker (Eds.). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
-
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: Issues and techniques (pp. 243-277). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
-
(1996)
Advanced Structural Equation Modeling: Issues and Techniques
, pp. 243-277
-
-
Arbuckle, J.L.1
-
6
-
-
4243159210
-
Significance tests and goodness of fit in the analysis of covariance structures
-
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588-606.
-
(1980)
Psychological Bulletin
, vol.88
, pp. 588-606
-
-
Bentler, P.M.1
Bonett, D.G.2
-
7
-
-
0001233581
-
Alternative ways of assessing model fit
-
K. A. Bollen & J. S. Long (Eds.). Newbury Park, CA: Sage
-
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136-162). Newbury Park, CA: Sage.
-
(1993)
Testing Structural Equation Models
, pp. 136-162
-
-
Browne, M.W.1
Cudeck, R.2
-
8
-
-
4544329633
-
An analysis of incomplete data
-
L. M. Collins& A.G. Sayers (Eds.). Washington, DC: American Psychological Association
-
Davey, A. (2001). An analysis of incomplete data. InL. M. Collins& A.G. Sayers (Eds.), New methods for the analysis of change (pp. 379-383). Washington, DC: American Psychological Association.
-
(2001)
New Methods for the Analysis of Change
, pp. 379-383
-
-
Davey, A.1
-
9
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm (with discussion)
-
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm (with discussion). Journal of the Royal Statistical Society, B39, 1-38.
-
(1977)
Journal of the Royal Statistical Society
, vol.B39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
10
-
-
0000885702
-
The relative performance of full information maximum likelihood estimation for missing data in structural equation models
-
Enders, C. K., & Bandalos, D. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling, 8, 430-457.
-
(2001)
Structural Equation Modeling
, vol.8
, pp. 430-457
-
-
Enders, C.K.1
Bandalos, D.L.2
-
11
-
-
0347249765
-
Adding missing-date-relevant variables to FIML-based structural equation models
-
Graham, J. W. (2003). Adding missing-date-relevant variables to FIML-based structural equation models. Structural Equation Modeling, 10, 80-100.
-
(2003)
Structural Equation Modeling
, vol.10
, pp. 80-100
-
-
Graham, J.W.1
-
13
-
-
0001876512
-
Evaluating model fit
-
R. H. Hoyle (Ed.). Thousand Oaks, CA: Sage
-
Hu, L., & Bentler, P. M. (1995). Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 76-99). Thousand Oaks, CA: Sage.
-
(1995)
Structural Equation Modeling: Concepts, Issues, and Applications
, pp. 76-99
-
-
Hu, L.1
Bentler, P.M.2
-
15
-
-
21844507468
-
Incremental fit index changes for nested structural equation models
-
La Du, T. J., & Tanaka, J. S. (1995). Incremental fit index changes for nested structural equation models. Multivariate Behavioral Research, 30, 289-316.
-
(1995)
Multivariate Behavioral Research
, vol.30
, pp. 289-316
-
-
La Du, T.J.1
Tanaka, J.S.2
-
16
-
-
84950452119
-
Modeling the drop-out mechanism in repeated-measures studies
-
Little, R. J. A. (1995). Modeling the drop-out mechanism in repeated-measures studies. Journal of the American Statistical Association, 90, 1112-1121.
-
(1995)
Journal of the American Statistical Association
, vol.90
, pp. 1112-1121
-
-
Little, R.J.A.1
-
17
-
-
84965572693
-
The analysis of social science data with missing values
-
Little, R. J. A., & Rubin, D. B. (1989-1990). The analysis of social science data with missing values. Sociological Methods and Research, 18, 292-326.
-
(1989)
Sociological Methods and Research
, vol.18
, pp. 292-326
-
-
Little, R.J.A.1
Rubin, D.B.2
-
18
-
-
0001816371
-
An evaluation of incremental fit indices: A clarification of mathematical and empirical properties
-
G. A. Marcoulides & R. E. Schumacker (Eds.). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
-
Marsh, H. W., Balla, J. R., & Hau, K. (1996). An evaluation of incremental fit indices: A clarification of mathematical and empirical properties. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling: Issues and techniques (pp. 315-351). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
-
(1996)
Advanced Structural Equation Modeling: Issues and Techniques
, pp. 315-351
-
-
Marsh, H.W.1
Balla, J.R.2
Hau, K.3
-
19
-
-
0002652913
-
An index of goodness-of-fit based on noncentrality
-
McDonald, R. P. (1989). An index of goodness-of-fit based on noncentrality. Journal of Classification, 6, 97-103.
-
(1989)
Journal of Classification
, vol.6
, pp. 97-103
-
-
McDonald, R.P.1
-
20
-
-
0001109923
-
Performing likelihood ratio tests with multiply-imputed data sets
-
Meng, X.-L., & Rubin, D. B. (1992). Performing likelihood ratio tests with multiply-imputed data sets. Biometrika, 79, 103-111.
-
(1992)
Biometrika
, vol.79
, pp. 103-111
-
-
Meng, X.-L.1
Rubin, D.B.2
-
21
-
-
38349115167
-
Evaluation of goodness-of-fit indices for structural equation models
-
Mulaik, S. A., James, L. R., Van Alstine, J., Bennett, N., Lind, S., & Stillwell, C. D. (1989). Evaluation of goodness-of-fit indices for structural equation models. Psychological Bulletin, 105, 430-445.
-
(1989)
Psychological Bulletin
, vol.105
, pp. 430-445
-
-
Mulaik, S.A.1
James, L.R.2
Van Alstine, J.3
Bennett, N.4
Lind, S.5
Stillwell, C.D.6
-
22
-
-
0001010853
-
On structural equation modeling with data that are not missing completely at random
-
Muthén, B., Kaplan, D., & Hollis, M. (1987). On structural equation modeling with data that are not missing completely at random. Psychometrika, 52, 431-462.
-
(1987)
Psychometrika
, vol.52
, pp. 431-462
-
-
Muthén, B.1
Kaplan, D.2
Hollis, M.3
-
23
-
-
0003446270
-
-
Richmond: Virginia Commonwealth University, Department of Psychiatry
-
Neale, M. C., Boker, S. M., Xie, G., & Maes, H. H. (2002). Mx: Statistical modeling (6th ed.). Richmond: Virginia Commonwealth University, Department of Psychiatry.
-
(2002)
Mx: Statistical modeling (6th ed.)
-
-
Neale, M.C.1
Boker, S.M.2
Xie, G.3
Maes, H.H.4
-
25
-
-
85047673373
-
Missing data: Our view of the state of the art
-
Schafer, J. L., & Graham, J. E. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147-177.
-
(2002)
Psychological Methods
, vol.7
, pp. 147-177
-
-
Schafer, J.L.1
Graham, J.E.2
-
26
-
-
0003795888
-
Goodness-of-fit criteria
-
R. E. Schumaker & R. G. Lomax. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
-
Schumacker, R. E., & Lomax, R. G. (1996). Goodness-of-fit criteria. In R. E. Schumaker & R. G. Lomax, A beginner's guide to structural equation modeling (pp. 119-137). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
-
(1996)
A Beginner's Guide to Structural Equation Modeling
, pp. 119-137
-
-
Schumacker, R.E.1
Lomax, R.G.2
-
27
-
-
0034412441
-
Design and analysis of Monte Carlo experiments: Attacking the conventional wisdom
-
Skrondal, A. (2000). Design and analysis of Monte Carlo experiments: Attacking the conventional wisdom. Multivariate Behavioral Research, 35, 137-167.
-
(2000)
Multivariate Behavioral Research
, vol.35
, pp. 137-167
-
-
Skrondal, A.1
-
28
-
-
6744245357
-
A reliability coefficient for maximum likelihood factor analysis
-
Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1-10.
-
(1973)
Psychometrika
, vol.38
, pp. 1-10
-
-
Tucker, L.R.1
Lewis, C.2
|