K-means clustering of item characteristic curves and item information curves via functional principal component analysis

Author:

Fortuna Francesca,Maturo FabrizioORCID

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Statistics and Probability

Reference42 articles.

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2. Birnbaum, A.: Some latent trait models and their use in inferring an examinee’s ability. In: Lord, F., Novick, M. (eds.) Statistical Theories of Mental Test Scores, pp. 397–479. Addison-Wesle, Boston (1968)

3. Cardot, H.: Nonparametric estimation of smoothed principal components analysis of sampled noisy functions. J. Nonparametr. Stat. 12, 503–538 (2000)

4. Caruso, G., Gattone, S.A., Fortuna, F., Di Battista, T.: Cluster analysis as a decision-making tool: a methodological review. In: Advances in Intelligent Systems and Computing, vol. 618 (2018). www.scopus.com

5. Ceccatelli, C., Di Battista, T., Fortuna, F., Maturo, F.: Best practice to improve the learning of statistics: the case of the national olympics of statistics in Italy. Procedia Soc Behav Sci XCIII, 2194–2199 (2013). https://doi.org/10.1016/j.sbspro.2013.10.186

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