-
1
-
-
0031512887
-
The multidimensional random coefficients multinomial logit model
-
Adams, R. J., Wilson, M., & Wang, W. (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.3
-
2
-
-
0001248506
-
Bayesian estimation of normal ogive item response curves using Gibbs sampling
-
Albert, J. H. (1992). Bayesian estimation of normal ogive item response curves using Gibbs sampling. Journal of Educational Statistics, 17, 251-269.
-
(1992)
Journal of Educational Statistics
, vol.17
, pp. 251-269
-
-
Albert, J.H.1
-
4
-
-
0035543525
-
MCMC estimation and some model-fit analysis of multidimensional IRT models
-
Béguin, A. A., & Glas, C. A. W. (2001). MCMC estimation and some model-fit analysis of multidimensional IRT models. Psychometrika, 66, 541-561.
-
(2001)
Psychometrika
, vol.66
, pp. 541-561
-
-
Béguin, A.A.1
Glas, C.A.W.2
-
5
-
-
0003478325
-
-
(Version 0.4) [Computer software], Cambridge: University of Cambridge, Institute of Public Health, Medical Research Council Biostatistics Unit
-
Best, N. G., Cowles, M. K., & Vines, S. K. (1997). coda: Convergence diagnosis and output analysis software for Gibbs sampling output (Version 0. 4) [Computer software]. Cambridge: University of Cambridge, Institute of Public Health, Medical Research Council Biostatistics Unit.
-
(1997)
Coda: Convergence Diagnosis and Output Analysis Software for Gibbs Sampling Output
-
-
Best, N.G.1
Cowles, M.K.2
Vines, S.K.3
-
6
-
-
0000433590
-
Marginal maximum likelihood estimation of item parameters: An application of the EM algorithm
-
Bock, R. D., & Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters: An application of the EM algorithm. Psychometrika, 46, 443-459.
-
(1981)
Psychometrika
, vol.46
, pp. 443-459
-
-
Bock, R.D.1
Aitkin, M.2
-
7
-
-
84965848018
-
Full-information item factor analysis
-
Bock, R. D., Gibbons, R., & Muraki, E. (1988). Full-information item factor analysis. Applied Psychological Measurement, 12, 261-280.
-
(1988)
Applied Psychological Measurement
, vol.12
, pp. 261-280
-
-
Bock, R.D.1
Gibbons, R.2
Muraki, E.3
-
8
-
-
34248551702
-
-
[Computer software], Chicago: Scientific Software International, Inc
-
Bock, R. D., Gibbons, R., Schilling, S. G., Muraki, E., Wilson, D. T., & Wood, R. (2002). TESTFACT 4 [Computer software]. Chicago: Scientific Software International, Inc.
-
(2002)
TESTFACT 4
-
-
Bock, R.D.1
Gibbons, R.2
Schilling, S.G.3
Muraki, E.4
Wilson, D.T.5
Wood, R.6
-
9
-
-
0345149832
-
Estimation of compensatory and noncompensatory multidimensional IRT models using Markov chain Monte Carlo
-
Bolt, D. M., & Lall, V. F. (2003). Estimation of compensatory and noncompensatory multidimensional IRT 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
-
10
-
-
0033239554
-
A Bayesian random effects model for testlets
-
Bradlow, E. T., Wainer, H., & Wang, X. (1999). A Bayesian random effects model for testlets. Psychometrika, 64, 153-168.
-
(1999)
Psychometrika
, vol.64
, pp. 153-168
-
-
Bradlow, E.T.1
Wainer, H.2
Wang, X.3
-
11
-
-
77956059224
-
-
Cai, L. (In Press-a). High-dimensional exploratory item factor analysis by a Metropolis-Hastings Robbins-Monro algorithm. Psychometrika.
-
-
-
-
12
-
-
77956061769
-
-
Cai, L. (In Press-b). Metropolis-Hastings Robbins-Monro algorithm for confirmatory item factor analysis. Journal of Educational and Behavioral Statistics.
-
-
-
-
16
-
-
32344446687
-
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
-
17
-
-
21344474305
-
Accelerating Monte Carlo Markov chain convergence for cumulative-link generalized linear models
-
Cowles, M. K. (1996). Accelerating Monte Carlo Markov chain convergence for cumulative-link generalized linear models. Statistics and Computing, 6, 101-111.
-
(1996)
Statistics and Computing
, vol.6
, pp. 101-111
-
-
Cowles, M.K.1
-
18
-
-
0030539336
-
Markov chain Monte Carlo convergence diagnostics: A comparative review
-
Cowles, M. K., & Carlin, B. (1996). Markov chain Monte Carlo convergence diagnostics: A comparative review. Journal of the American Statistical Association, 91, 883-904.
-
(1996)
Journal of the American Statistical Association
, vol.91
, pp. 883-904
-
-
Cowles, M.K.1
Carlin, B.2
-
19
-
-
27544504842
-
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
-
20
-
-
33646696643
-
Application of the bi-factor multidimensional item response theory model to testlet-based tests
-
DeMars, C. E. (2006). Application of the bi-factor multidimensional item response theory model to testlet-based tests. Journal of Educational Measurement, 43, 145-168.
-
(2006)
Journal of Educational Measurement
, vol.43
, pp. 145-168
-
-
Demars, C.E.1
-
21
-
-
34248166517
-
Guessing parameter estimates for multidimensional item response theory models
-
DeMars, C. E. (2007). "Guessing" parameter estimates for multidimensional item response theory models. Educational and Psychological Measurement, 67, 433-446.
-
(2007)
Educational and Psychological Measurement
, vol.67
, pp. 433-446
-
-
Demars, C.E.1
-
22
-
-
77956061963
-
-
Edwards, M. C. (2005a). A Markov chain Monte Carlo approach to confirmatory item factor analysis. Unpublished doctoral dissertation, University of North Carolina at Chapel Hill.
-
-
-
-
23
-
-
77956062657
-
-
Edwards, M. C. (2005b). MultiNorm: Multidimensional normal ogive item response theory analysis [Computer software].
-
-
-
-
24
-
-
33750161672
-
An empirical Bayes approach to subscore augmentation: How much strength can we borrow?
-
Edwards, M. C., & Vevea, J. L. (2006). An empirical Bayes approach to subscore augmentation: How much strength can we borrow? The Journal of Educational and Behavioral Statistics, 31, 241-259.
-
(2006)
The Journal of Educational and Behavioral Statistics
, vol.31
, pp. 241-259
-
-
Edwards, M.C.1
Vevea, J.L.2
-
26
-
-
0035534930
-
Bayesian estimation of a multilevel IRT model using Gibbs sampling
-
Fox, J.-P., & Glas, C. A. W. (2001). Bayesian estimation of a multilevel IRT model using Gibbs sampling. Psychometrika, 66, 269-286.
-
(2001)
Psychometrika
, vol.66
, pp. 269-286
-
-
Fox, J.-P.1
Glas, C.A.W.2
-
28
-
-
0001582213
-
Inference and monitoring convergence
-
W. R. Gilks, S. Richardson, and D. J. Spiegelhalter (Eds.), London: Chapman and Hall
-
Gelman, A. (1996). Inference and monitoring convergence. In W. R. Gilks, S. Richardson, & D. J. Spiegelhalter (Eds.), Markov chain Monte Carlo in practice (pp. 131-143). London: Chapman and Hall.
-
(1996)
Markov Chain Monte Carlo in Practice
, pp. 131-143
-
-
Gelman, A.1
-
29
-
-
0004012196
-
-
2nd edn., New York: Chapman and Hall
-
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2004). Bayesian data analysis (2nd ed.). New York: Chapman and Hall.
-
(2004)
Bayesian Data Analysis
-
-
Gelman, A.1
Carlin, J.B.2
Stern, H.S.3
Rubin, D.B.4
-
30
-
-
84972492387
-
Inference from iterative simulation using multiple sequences (with discussion)
-
Gelman, A., & Rubin, D. B. (1992). Inference from iterative simulation using multiple sequences (with discussion). Statistical Science, 7, 457-511.
-
(1992)
Statistical Science
, vol.7
, pp. 457-511
-
-
Gelman, A.1
Rubin, D.B.2
-
31
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images
-
Geman, S., & Geman, D. (1984). Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 6, 721-741.
-
(1984)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
32
-
-
0001032163
-
Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments
-
J. M. Bernardo, J. Berger, A. P. Dawid, and A. F. M. Smith (Eds.), Oxford: Oxford University Press
-
Geweke, J. (1992). Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments. In J. M. Bernardo, J. Berger, A. P. Dawid, & A. F. M. Smith (Eds.), Bayesian statistics 4 (pp. 169-193). Oxford: Oxford University Press.
-
(1992)
Bayesian Statistics 4
, pp. 169-193
-
-
Geweke, J.1
-
33
-
-
33751549640
-
Full-information item bifactor analysis of graded response data
-
Gibbons, R. D., Bock, R. D., Hedeker, D., Weiss, D. J., Segawa, E., Bhaumik, D. K., et al. (2007). Full-information item bifactor analysis of graded response data. Applied Psychological Measurement, 31, 4-19.
-
(2007)
Applied Psychological Measurement
, vol.31
, pp. 4-19
-
-
Gibbons, R.D.1
Bock, R.D.2
Hedeker, D.3
Weiss, D.J.4
Segawa, E.5
Bhaumik, D.K.6
-
34
-
-
21144476248
-
Full-information item bi-factor analysis
-
Gibbons, R. D., & Hedeker, D. R. (1992). Full-information item bi-factor analysis. Psychometrika, 57, 423-436.
-
(1992)
Psychometrika
, vol.57
, pp. 423-436
-
-
Gibbons, R.D.1
Hedeker, D.R.2
-
35
-
-
58149350433
-
On the psychometric validity of the domains of the pdsq: An illustration of the bi-factor item response theory model
-
Gibbons, R. D., Rush, A. J., & Immekus, J. C. (2009). On the psychometric validity of the domains of the pdsq: An illustration of the bi-factor item response theory model. Journal of Psychiatric Research, 43, 401-410.
-
(2009)
Journal of Psychiatric Research
, vol.43
, pp. 401-410
-
-
Gibbons, R.D.1
Rush, A.J.2
Immekus, J.C.3
-
36
-
-
0002517089
-
Introducing Markov chain Monte Carlo
-
W. R. Gilks, S. Richardson, and D. J. Spiegelhalter (Eds.), New York: Chapman and Hall
-
Gilks, W. R., Richardson, S., & Spiegelhalter, D. J. (1996a). Introducing Markov chain Monte Carlo. In W. R. Gilks, S. Richardson, & D. J. Spiegelhalter (Eds.), Markov chain Monte Carlo in practice (pp. 1-19). New York: Chapman and Hall.
-
(1996)
Markov Chain Monte Carlo in Practice
, pp. 1-19
-
-
Gilks, W.R.1
Richardson, S.2
Spiegelhalter, D.J.3
-
37
-
-
0003860037
-
-
W. R. Gilks, S. Richardson, and D. J. Spiegelhalter (Eds.), New York: Chapman and Hall
-
Gilks, W. R., Richardson, S., & Spiegelhalter, D. J. (Eds.) (1996b). Markov chain Monte Carlo in practice. New York: Chapman and Hall.
-
(1996)
Markov Chain Monte Carlo in Practice
-
-
-
39
-
-
77956890234
-
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
-
40
-
-
0020850136
-
Simulation run length control in the presence of an initial transient
-
Heidelberger, P., & Welch, P. D. (1983). Simulation run length control in the presence of an initial transient. Operations Research, 31, 1109-1144.
-
(1983)
Operations Research
, vol.31
, pp. 1109-1144
-
-
Heidelberger, P.1
Welch, P.D.2
-
41
-
-
34247364657
-
Practical issues in the application of item response theory: A demonstration using item form the Pediatric Quality of Life Inventory (PedsQL) 4.0 Generic Core Scales
-
Hill, C. D., Edwards, M. C., Thissen, D., Langer, M. M., Wirth, R. J., Burwinkle, T. M., et al. (2007). Practical issues in the application of item response theory: A demonstration using item form the Pediatric Quality of Life Inventory (PedsQL) 4. 0 Generic Core Scales. Medical Care, 45, S39-S47.
-
(2007)
Medical Care
, vol.45
-
-
Hill, C.D.1
Edwards, M.C.2
Thissen, D.3
Langer, M.M.4
Wirth, R.J.5
Burwinkle, T.M.6
-
44
-
-
17044390545
-
-
[Computer software], Chicago: Scientific Software International, Inc
-
Jöreskog, K. G., & Sörbom, D. (2003). LISREL 8. 54 [Computer software]. Chicago: Scientific Software International, Inc.
-
(2003)
LISREL 8.54
-
-
Jöreskog, K.G.1
Sörbom, D.2
-
45
-
-
34250176929
-
Irt model selection methods for dichotomous items
-
Kang, T., & Cohen, A. S. (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
-
46
-
-
0032382838
-
Markov chain Monte Carlo in practice: A roundtable discussion
-
Kass, R. E., Carlin, B. P., Gelman, A., & Neal, R. M. (1998). Markov chain Monte Carlo in practice: A roundtable discussion. The American Statistician, 52, 93-100.
-
(1998)
The American Statistician
, vol.52
, pp. 93-100
-
-
Kass, R.E.1
Carlin, B.P.2
Gelman, A.3
Neal, R.M.4
-
48
-
-
5744249209
-
Equation of state calculations by fast computing machines
-
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953). Equation of state calculations by fast computing machines. The Journal of Chemical Physics, 21, 1087-1092.
-
(1953)
The Journal of Chemical Physics
, vol.21
, pp. 1087-1092
-
-
Metropolis, N.1
Rosenbluth, A.W.2
Rosenbluth, M.N.3
Teller, A.H.4
Teller, E.5
-
50
-
-
0033411905
-
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
-
51
-
-
0033261632
-
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
-
53
-
-
28444445926
-
-
R Development Core Team, Vienna: R Foundation for Statistical Computing. Retrieved from, Available from http://www. R-project. org
-
R Development Core Team (2005). R: A language and environment for statistical computing [Computer software]. Vienna: R Foundation for Statistical Computing. Retrieved from http://www. R-project. org. Available from http://www. R-project. org.
-
(2005)
R: A language and environment for statistical computing [Computer software]
-
-
-
54
-
-
0000759236
-
How many iterations in the Gibbs sampler?
-
J. M. Bernardo, J. Berger, A. P. Dawid, and A. F. M. Smith (Eds.), Oxford: Oxford University Press
-
Raftery, A. E., & Lewis, S. (1992). How many iterations in the Gibbs sampler? In J. M. Bernardo, J. Berger, A. P. Dawid, & A. F. M. Smith (Eds.), Bayesian statistics 4 (pp. 763-773). Oxford: Oxford University Press.
-
(1992)
Bayesian Statistics 4
, pp. 763-773
-
-
Raftery, A.E.1
Lewis, S.2
-
55
-
-
0001974429
-
Markov chain concepts related to sampling algorithms
-
W. R. Gilks, S. Richardson, and D. J. Spiegelhalter (Eds.), New York: Chapman and Hall
-
Roberts, G. O. (1996). Markov chain concepts related to sampling algorithms. In W. R. Gilks, S. Richardson, & D. J. Spiegelhalter (Eds.), Markov chain Monte Carlo in practice (pp. 45-57). New York: Chapman and Hall.
-
(1996)
Markov Chain Monte Carlo in Practice
, pp. 45-57
-
-
Roberts, G.O.1
-
56
-
-
77956062989
-
-
Samejima, F. (1969). Psychometrika Monograph, No. 17: Estimation of latent ability using a response pattern of graded scores.
-
-
-
-
57
-
-
28844454343
-
High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature
-
Schilling, S., & Bock, R. D. (2005). High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature. Psychometrika, 70, 533-555.
-
(2005)
Psychometrika
, vol.70
, pp. 533-555
-
-
Schilling, S.1
Bock, R.D.2
-
58
-
-
77956057743
-
-
Segall, D. O. (2002). Confirmatory item factor analysis using Markov chain Monte Carlo estimation with applications to online calibration in CAT. Paper presented at the annual meeting of the National Council on Measurement in Education, New Orleans, LA.
-
-
-
-
59
-
-
0000592609
-
Bayesian sampling-based approach for factor analysis models with continuous and polytomous data
-
Shi, J.-Q., & Lee, S.-Y. (1998). Bayesian sampling-based approach for factor analysis models with continuous and polytomous data. British Journal of Mathematical and Statistical Psychology, 51, 233-252.
-
(1998)
British Journal of Mathematical and Statistical Psychology
, vol.51
, pp. 233-252
-
-
Shi, J.-Q.1
Lee, S.-Y.2
-
60
-
-
11844261472
-
Experiences with Markov chain Monte Carlo convergence assessment in two psychometric examples
-
Sinharay, S. (2004). Experiences with Markov chain Monte Carlo convergence assessment in two psychometric examples. Journal of Educational and Behavioral Statistics, 29, 461-488.
-
(2004)
Journal of Educational and Behavioral Statistics
, vol.29
, pp. 461-488
-
-
Sinharay, S.1
-
61
-
-
33744933187
-
Posterior predictive assessment of item response theory models
-
Sinharay, S. (2006). Posterior predictive assessment of item response theory models. Applied Psychological Measurement, 30, 298-321.
-
(2006)
Applied Psychological Measurement
, vol.30
, pp. 298-321
-
-
Sinharay, S.1
-
62
-
-
0000563849
-
On the relationship between item response theory and factor analysis of discretized variables
-
Takane, Y., & de Leeuw, J. (1987). On the relationship between item response theory and factor analysis of discretized variables. Psychometrika, 52, 393-408.
-
(1987)
Psychometrika
, vol.52
, pp. 393-408
-
-
Takane, Y.1
de Leeuw, J.2
-
64
-
-
84950758368
-
The calculation of posterior distributions by data augmentation (with discussion)
-
Tanner, M. A., & Wong, W. H. (1987). The calculation of posterior distributions by data augmentation (with discussion). Journal of the American Statistical Association, 82, 528-550.
-
(1987)
Journal of the American Statistical Association
, vol.82
, pp. 528-550
-
-
Tanner, M.A.1
Wong, W.H.2
-
67
-
-
0002507596
-
Testlet response theory: An analog for the 3-PL useful in testlet-based adaptive testing
-
W. J. Lindenvan der and C. A. W. Glas (Eds.), Boston: Kluwer Academic
-
Wainer, H., Bradlow, E. T., & Du, Z. (2000). Testlet response theory: An analog for the 3-PL useful in testlet-based adaptive testing. In W. J. van der Linden & C. A. W. Glas (Eds.), Computerized adaptive testing: Theory and practice (pp. 245-270). Boston: Kluwer Academic.
-
(2000)
Computerized Adaptive Testing: Theory and Practice
, pp. 245-270
-
-
Wainer, H.1
Bradlow, E.T.2
Du, Z.3
-
68
-
-
84988141297
-
Item clusters and computerized adaptive testing: A case for testlets
-
Wainer, H., & Kiely, G. (1987). Item clusters and computerized adaptive testing: A case for testlets. Journal of Educational Measurement, 24, 185-202.
-
(1987)
Journal of Educational Measurement
, vol.24
, pp. 185-202
-
-
Wainer, H.1
Kiely, G.2
-
69
-
-
0007366882
-
Augmented scores-"Borrowing strength" to compute scores based on a small number of items
-
D. Thissen and H. Wainer (Eds.), Mahwah: Lawrence Erlbaum Associates, Inc
-
Wainer, H., Vevea, J. L., Camacho, F., Reeve, B. B., Rosa, K., Nelson, L., et al. (2001). Augmented scores-"Borrowing strength" to compute scores based on a small number of items. In D. Thissen & H. Wainer (Eds.), Test scoring (pp. 347-387). Mahwah: Lawrence Erlbaum Associates, Inc.
-
(2001)
Test Scoring
, pp. 347-387
-
-
Wainer, H.1
Vevea, J.L.2
Camacho, F.3
Reeve, B.B.4
Rosa, K.5
Nelson, L.6
-
70
-
-
0036100904
-
A general Bayesian model for testlets: Theory and applications
-
Wang, X., Bradlow, E. T., & Wainer, H. (2002). A general Bayesian model for testlets: Theory and applications. Applied Psychological Measurement, 26, 109-128.
-
(2002)
Applied Psychological Measurement
, vol.26
, pp. 109-128
-
-
Wang, X.1
Bradlow, E.T.2
Wainer, H.3
-
71
-
-
34247192112
-
Item factor analysis: Current approaches and future directions
-
Wirth, R. J., & Edwards, M. C. (2007). Item factor analysis: Current approaches and future directions. Psychological Methods, 12, 58-79.
-
(2007)
Psychological Methods
, vol.12
, pp. 58-79
-
-
Wirth, R.J.1
Edwards, M.C.2
|