This is a preview of subscription content, log in via an institution to check access.
References
Bock, R. D. (1997). A brief history of item response theory. Educational Measurement: Issues and Practice, 16(4), 21–33. https://doi.org/10.1111/j.1745-3992.1997.tb00605.x.
Cudeck, R., & MacCallum, R. C. (2007). Factor analysis at 100: Historical developments and future directions. Mahwah: Erlbaum.
de la Torre, J. (2011). The generalized DINA model framework. Psychometrika, 76, 179–199.
Galton, F. (1879). Psychometric experiments. Brain, 2, 149–162.
Green, B. F., Jr. (1952). Latent structure analysis and its relation to factor analysis. Journal of the American Statistical Association, 47, 71–76.
Henry. (1999). Latent structure analysis at fifty. Paper presented at the 1999 Joint statistical meetings, Baltimore MD, August 11, 1999. https://www.amstat.org/sections/srms/proceedings/papers/1999_102.pdf
Henson, R., Templin, J., & Willse, J. (2009). Defining a family of cognitive diagnosis models using log linear models with latent variables. Psychometrika, 74, 191–210.
Junker, B. W., & Sijtsma, K. (2001). Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement, 25, 258–272.
Kosinski, M., Stillwell, D., & Graepel, T. (2013). Private traits and attributes are predictable from digital records of human behavior. PNAS, 110(15), 5802–5805. https://doi.org/10.1073/pnas.1218772110.
Lewin, K. (1936). Principles of topological psychology. New York: McGraw-Hill.
Macready, G. B., & Dayton, C. M. (1977). The use of probabilistic models in the assessment of mastery. Journal of Educational Statistics, 2, 99–120.
McDonald, R. P. (1999). Test theory: A unified treatment. Mahwah: Lawrence Erlbaum Associates, Inc.
Moustaki, I., & Knott, M. (2000). Generalized latent trait models. Psychometrika, 65, 391–411.
Mulaik, S. A. (1987). A brief history of the philosophical foundations of exploratory factor analysis. Multivariate Behavioral Research, 22, 267–305. https://doi.org/10.1207/s15327906mbr2203_3.
Rabe-Hesketh, S., Skrondal, A., & Pickles, A. (2004). Generalized multilevel structural equation modelling. Psychometrika, 69, 167–190.
Rijmen, F., Jeon, M., von Davier, M., & Rabe-Hesketh, S. (2014). A third order item response theory model for modeling the effects of domains and subdomains in large-scale educational assessment surveys. Journal of Educational and Behavioral Statistics, 38, 32–60. https://doi.org/10.3102/1076998614531045.
Takane, Y., & De Leeuw, J. (1987). On the relationship between item response theory and factor analysis of discretized variables. Psychometrika, 52, 393–408.
Tatsuoka, K. K. (1983). Rule space: An approach for dealing with misconceptions based on item response theory. Journal of Educational Measurement, 20(4), 345–354.
Traub, R. (1997). Classical test theory in historical perspective. Educational Measurement: Issues and Practice, 16(4), 8–14. https://doi.org/10.1111/j.1745-3992.1997.tb00603.x.
von Davier, M. (2008). A general diagnostic model applied to language testing data. British Journal of Mathematical and Statistical Psychology, 61, 287–307.
von Davier, M. (2009). Some notes on the reinvention of latent structure models as diagnostic classification models. Measurement – Interdisciplinary Research and Perspectives, 7(1), 67–74.
von Davier, M. (2013). The DINA model as a constrained general diagnostic model – two variants of a model equivalency. British Journal of Mathematical and Statistical Psychology, 67, 49–71. http://onlinelibrary.wiley.com/doi/10.1111/bmsp.12003/abstract.
von Davier, M. (2014). The log-linear cognitive diagnostic model (LCDM) as a special case of the general diagnostic model (GDM). ETS Research Report Series. http://onlinelibrary.wiley.com/doi/10.1002/ets2.12043/abstract.
von Davier, M. (2016). Chapter 3: The Rasch model. In W. van der Linden & R. Hambleton (Eds.), Handbook of modern item response theory (Vol. 1, 2nd ed.). Boca Raton: CRC Press.
von Davier, M., & Haberman, S. (2014). Hierarchical diagnostic classification models morphing into unidimensional ‘diagnostic’ classification models – A commentary. Psychometrika. https://doi.org/10.1007/s11336-013-9363-z.
von Davier, M., & Rost, J. (2016). Chapter 23: Logistic mixture-distribution response models. In W. van der Linden & R. Hambleton (Eds.), Handbook of modern item response theory (Vol. 1, 2nd ed.). Boca Raton: Chapman & Hall/CRC.
von Davier, M., Naemi, B., & Roberts, R. D. (2012). Factorial versus typological models: A comparison of methods for personality data. Measurement: Interdisciplinary Research and Perspectives, 10(4), 185–208.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this entry
Cite this entry
von Davier, M. (2019). Psychometrics. In: Zeigler-Hill, V., Shackelford, T. (eds) Encyclopedia of Personality and Individual Differences. Springer, Cham. https://doi.org/10.1007/978-3-319-28099-8_1341-1
Download citation
DOI: https://doi.org/10.1007/978-3-319-28099-8_1341-1
Received:
Accepted:
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-28099-8
Online ISBN: 978-3-319-28099-8
eBook Packages: Springer Reference Behavioral Science and PsychologyReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences