-
1
-
-
0016355478
-
A new look at the statistical model identification
-
H.Akaike (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716-723.
-
(1974)
IEEE Transactions on Automatic Control
, vol.19
, pp. 716-723
-
-
Akaike, H.1
-
3
-
-
0040143616
-
Estimating the parameters of a latent population distribution
-
E.B.AndersenM.Madsen (1977). Estimating the parameters of a latent population distribution. Psychometrika, 42, 357-374.
-
(1977)
Psychometrika
, vol.42
, pp. 357-374
-
-
Andersen, E.B.1
Madsen, M.2
-
4
-
-
0142041441
-
Distributional assumptions of growth mixture models: Implications for over-extraction of latent trajectory classes
-
D.J.BauerP.J.Curran (2003). Distributional assumptions of growth mixture models: Implications for over-extraction of latent trajectory classes. Psychological Methods, 8, 338-363.
-
(2003)
Psychological Methods
, vol.8
, pp. 338-363
-
-
Bauer, D.J.1
Curran, P.J.2
-
5
-
-
0000433590
-
Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm
-
R.D.BockM.Aitkin (1981). Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm. Psychometrika, 46, 443-459.
-
(1981)
Psychometrika
, vol.46
, pp. 443-459
-
-
Bock, R.D.1
Aitkin, M.2
-
6
-
-
0036905692
-
Item parameter estimation under conditions of test speededness: Application of a mixture Rasch model with ordinal constraints
-
D.M.BoltA.S.CohenJ.A.Wollack (2002). Item parameter estimation under conditions of test speededness: Application of a mixture Rasch model with ordinal constraints. Journal of Educational Measurement, 39, 331-348.
-
(2002)
Journal of Educational Measurement
, vol.39
, pp. 331-348
-
-
Bolt, D.M.1
Cohen, A.S.2
Wollack, J.A.3
-
9
-
-
34250283902
-
A method for simulating non-normal distributions
-
A.I.Fleishman (1978). A method for simulating non-normal distributions. Psychometrika, 43, 521-532.
-
(1978)
Psychometrika
, vol.43
, pp. 521-532
-
-
Fleishman, A.I.1
-
11
-
-
84972492387
-
Inference from iterative simulation using multiple sequences
-
A.GelmanD.B.Rubin (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
-
12
-
-
3142515941
-
Analysis of ordinal data to detect population differences
-
T.G.GregoireB.L.Driver (1987). Analysis of ordinal data to detect population differences. Psychological Bulletin, 101, 159-165.
-
(1987)
Psychological Bulletin
, vol.101
, pp. 159-165
-
-
Gregoire, T.G.1
Driver, B.L.2
-
13
-
-
34250176929
-
IRT model selection methods for dichotomous items
-
T.KangA.S.Cohen (2007). IRT model selection methods for dichotomous items. Applied Psychological Measurement, 31, 331-358.
-
(2007)
Applied Psychological Measurement
, vol.31
, pp. 331-358
-
-
Kang, T.1
Cohen, A.S.2
-
17
-
-
58149368765
-
The unicorn, the normal curve, and other improbable creatures
-
T.Micceri (1989). The unicorn, the normal curve, and other improbable creatures. Psychological Bulletin, 105, 156-166.
-
(1989)
Psychological Bulletin
, vol.105
, pp. 156-166
-
-
Micceri, T.1
-
18
-
-
0001019640
-
Modeling item responses when different subjects employ different solution strategies
-
R.J.MislevyN.Verhelst (1990). Modeling item responses when different subjects employ different solution strategies. Psychometrika, 55, 195-215.
-
(1990)
Psychometrika
, vol.55
, pp. 195-215
-
-
Mislevy, R.J.1
Verhelst, N.2
-
19
-
-
42049117441
-
Latent variable hybrids: Overview of old and new models
-
Charlotte, NC: Information Age,,. In (Eds.),, (pp
-
B.Muthén (2008). Latent variable hybrids: Overview of old and new models. In (Eds.), Advances in latent variable mixture models (pp. 1-24). Charlotte, NC: Information Age.
-
(2008)
Advances in latent variable mixture models
, pp. 1-24
-
-
Muthén, B.1
-
20
-
-
36849091981
-
Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study
-
K.L.NylundT.AsparouhovB.O.Muthén (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling, 14, 535-569.
-
(2007)
Structural Equation Modeling
, vol.14
, pp. 535-569
-
-
Nylund, K.L.1
Asparouhov, T.2
Muthén, B.O.3
-
21
-
-
0033411905
-
A straightforward approach to Markov chain Monte Carlo methods for item response models
-
R.J.PatzB.W.Junker (1999). 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
-
22
-
-
0016772924
-
Relation between the shape of population distribution and the robustness of four simple test statistics
-
E.S.PearsonN.W.Please (1975). Relation between the shape of population distribution and the robustness of four simple test statistics. Biometrika, 62, 223-241.
-
(1975)
Biometrika
, vol.62
, pp. 223-241
-
-
Pearson, E.S.1
Please, N.W.2
-
25
-
-
0000059349
-
Unifactor latent trait models applied to multifactor tests: Results and implications
-
M.D.Reckase (1979). Unifactor latent trait models applied to multifactor tests: Results and implications. Journal of Educational Statistics, 4, 207-230.
-
(1979)
Journal of Educational Statistics
, vol.4
, pp. 207-230
-
-
Reckase, M.D.1
-
27
-
-
84970751365
-
Rasch models in latent classes: An integration of two approaches to item analysis
-
J.Rost (1990). Rasch models in latent classes: An integration of two approaches to item analysis. Applied Psychological Measurement, 14, 271-282.
-
(1990)
Applied Psychological Measurement
, vol.14
, pp. 271-282
-
-
Rost, J.1
-
29
-
-
0000120766
-
Estimating the dimension of a model
-
G.Schwarz (1978). Estimating the dimension of a model. Annals of Statistics, 6, 461-464.
-
(1978)
Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
33
-
-
41149175664
-
Identifying the correct number of classes in a growth mixture model
-
Greenwich, CT: Information Age,,. In (Eds.),, (pp
-
D.TofighiC.K.Enders (2007). Identifying the correct number of classes in a growth mixture model. In (Eds.), Mixture models in latent variable research (pp. 317-341). Greenwich, CT: Information Age.
-
(2007)
Mixture models in latent variable research
, pp. 317-341
-
-
Tofighi, D.1
Enders, C.K.2
-
35
-
-
33748787706
-
Ramsay-curve item response theory (RC-IRT) to detect and correct for nonnormal latent variables
-
C.M.Woods (2006a). Ramsay-curve item response theory (RC-IRT) to detect and correct for nonnormal latent variables. Psychological Methods, 11, 253-270.
-
(2006)
Psychological Methods
, vol.11
, pp. 253-270
-
-
Woods, C.M.1
|