Author | Longford, Nicholas T. author |
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Title | Models for Uncertainty in Educational Testing [electronic resource] / by Nicholas T. Longford |
Imprint | New York, NY : Springer New York, 1995 |
Connect to | http://dx.doi.org/10.1007/978-1-4613-8463-2 |
Descript | XIV, 285 p. online resource |
1 Inference about variation -- 1.1 Imperfection and variation -- 1.2 Educational measurement and testing -- 1.3 Statistical context -- 2 Reliability of essay rating -- 2.1 Introduction -- 2.2 Models -- 2.3 Estimation -- 2.4 Extensions -- 2.5 Diagnostic procedures -- 2.6 Examples -- 2.7 Standard errors -- 2.8 Summary -- 2.9 Literature review -- 3 Adjusting subjectively rated scores -- 3.1 Introduction -- 3.2 Estimating severity -- 3.3 Examinee-specific shrinkage -- 3.4 General scheme -- 3.5 More diagnostics -- 3.6 Examples -- 3.7 Estimating linear combinations of true scores -- 3.8 Summary -- Appendix. Derivation of MSE for the general adjustment scheme -- 4 Rating several essays -- 4.1 Introduction -- 4.2 Models -- 4.3 Estimation -- 4.4 Application -- 4.5 Choice of essay topics -- 4.6 Summary -- 5 Summarizing item-level properties -- 5.1 Introduction -- 5.2 Differential item functioning -- 5.3 DIF variance -- 5.4 Estimation -- 5.5 Examples -- 5.6 Shrinkage estimation of DIF coefficients -- 5.7 Model criticism and diagnostics -- 5.8 Multiple administrations -- 5.9 Conclusion -- 6 Equating and equivalence of tests -- 6.1 Introduction -- 6.2 Equivalent scores -- 6.3 Estimation -- 6.4 Application -- 6.5 Summary -- 7 Inference from surveys with complex sampling design -- 7.1 Introduction -- 7.2 Sampling design -- 7.3 Proficiency scores -- 7.4 Jackknife -- 7.5 Model-based method -- 7.6 Examples -- 7.7 Estimating proportions -- 7.8 Regression with survey data -- 7.9 Estimating many subpopulation means -- 7.10 Jackknife and model-based estimators -- 7.11 Summary -- 8 Small-area estimation -- 8.1 Introduction -- 8.2 Shrinkage estimation -- 8.3 Regression with survey data -- 8.4 Fitting two-level regression -- 8.5 Small-area mean prediction -- 8.6 Selection of covariates -- 8.7 Application -- 8.8 Summary and literature review -- 9 Cut scores for pass/fail decisions -- 9.1 Introduction -- 9.2 Models -- 9.3 Fitting logistic regression -- 9.4 Examples -- 9.5 Summary -- 10 Incomplete longitudinal data -- 10.1 Introduction -- 10.2 Informative missingness -- 10.3 Longitudinal analysis -- 10.4 EM algorithm -- 10.5 Application -- 10.6 Estimation -- 10.7 Summary -- References