Henk Kelderman
Guest
- Name
- Prof.dr. H. Kelderman
- Telephone
- +31 71 527 2727
- h.kelderman@fsw.leidenuniv.nl
- ORCID iD
- 0000-0001-9074-0229
Short CV
Emeritus professor of psychometrics gracefully hosted by the department of Methodogy and Statistics.
Research
Is specialised in psychometrics, testtheory, and statistical learning and combinations thereof.
Teaching
Psychometrics and SEM given in the research master's specialisation Statistical Science.
Grants
- Fulbright-Hays Scholarship Award 1988
Guest
- Faculteit der Sociale Wetenschappen
- Instituut Psychologie
- Methodologie & Statistiek
- De Rooij M.J., Karch J.D., Fokkema M., Bakk Z., Pratiwi B.C. & Kelderman H. (2022), SEM-based out-of-sample predictions, Structural Equation Modeling: A Multidisciplinary Journal : 1-17.
- Fokkema M., Smits N., Zeileis A., Hothorn T. & Kelderman H. (2018), Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees, Behavior Research Methods 50(5): 2016-2034.
- Solis E., Antypa N., Conijn J.M., Kelderman H. & Does A.J.W. van der (2017), Psychometric Properties of the Leiden Index of Depression Sensitivity (LEIDS), Psychological Assessment 29(2): 158-171.
- Van de Graaf E.S., Borsboom J.J.M., Van der Sterre G.W., Felius J., Simonsz H.J. & Kelderman H. (2017), Differences in quality-of-life dimensions of Adult Strabismus Quality of Life and Amblyopia & Strabismus Questionnaires, Graefes Archive for Clinical and Experimental Ophthalmology 255(9): 1851-1858.
- Smits N., Finkelman M.D. & Kelderman H. (2016), Stochastic curtailment of questionnaires for three-level classification: Shortening the CES-D for assessing low, moderate, and high risk of depression, Applied Psychological Measurement 40(1): 22-36.
- Fokkema M., Smits N., Kelderman H. & Penninx B.W.J.H. (2015), Connecting clinical and actuarial prediction with rule-based methods, Psychological Assessment 27(2): 636-644.
- Fokkema M., Smits N., Zeileis A., Hothorn T. & Kelderman H. (2015), Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees. Working paper. Working Papers in Economics and Statistics University of Innsbruck.
- Fokkema M., Smits N., Kelderman H., Carlier I.V.E. & Van Hemert A.M. (2014), Combining decision trees and stochastic curtailment for assessment length reduction of test batteries used for classification, Applied Psychological Measurement 38(1): 3-17.
- Fokkema M., Smits N., Finkelman M.D., Kelderman H. & Cuijpers P. (2014), Curtailment: A method to reduce the length of self-report questionnaires while maintaining diagnostic accuracy, Psychiatry Research 215(2): 477-482.
- Engin Ö, Despriet D.D.G., Meulen-Schot H.M. van der, Romers A., Slot X., Tjon Fo Sang M., Fronius M., Kelderman H. & Simonsz H.J. (2014), Comparison of optotypes of Amsterdam Picture Chart with those of Tumbling-E, LEA Symbols, ETDRS, and Landolt-C in non-amblyopic and amblyopic patients, Graefes Archive for Clinical and Experimental Ophthalmology 252(12): 2013-2020.