Prof. Dr. Heinz Holling


Contact

Room

244

Consultation hour

Wednesday 12-13

Phone

0251 - 83 38485

E-Mail

holling@uni-muenster.de

Professor for Statistics and Quantitative Methods

Department of Psychology and Sport Science
Department of Economics

Education:

- Study of Mathematics, Psychology and Sociology (1969 – 1976)
- Dr. phil. (1980)
- Dr. rer. nat. (1987)

Positions:

- Research Fellow at Free University Berlin and University of Osnabrueck (1974-1987)
- Professor (temporary) at Universities of Oldenburg, Muenster and Mannheim (1987-1993)
- Seven calls on full professorships (1990-2004)
- Full Professor at University of Muenster (since 1993)

Interests:

- optimal design
- conjoint analysis
- adaptive testing
- intelligence

Selected current projects:

  • Rule-based item generation of algebra word problems based upon linear logistic test models for item   cloning and optimal design (DFG, 2008 – 2010)
  • Optimal design for online generated adaptive intelligence tests (DFG, 2007 – 2013)
  • Cross-cultural effects on performance in reasoning tests (DFG, 2007 – 2009)
  • Meta-Analysis of the validity of binary diagnoses based on dichotomous criteria (DFG, 2008 – 2013)
  • Dyscalculia in elementary school - Development and evaluation of a working memory-based assessment battery and an integrative training program ( BMBF, 2010 - 2013)

Editorial Board:

  • Journal of Thai Statistical Association (2007 – )
  • Diagnostica (1995 – 2003)
  • Zeitschrift für Psychologie - Journal of Psychology (2002 – ; since 2006 – 2008 Editor in chief) (Second oldest journal for psychology, founded 1890 by Ebbinghaus)

Reviewer:

  • Science
  • Biometrics
  • Psychometrika
  • Journal of Mathematical Psychology

Selected Publications since 2011:

Articles in Peer-Reviewed Journals

  • Skodzik, T., Holling, H., & Pedersen, A. (in press). Long-term memory performance in adult ADHD- a Meta-Analsis. Journal of Attention Disorders.
  • Doebler, A., Doebler, P., & Holling, H. (in press). Optimal and Most Exact Condence Intervals for Person Parameters in Item Response Theory Models. Psychometrika.
  • Holling, H., & Schwabe, R. (in press). Optimal Design Theory. In W. J. van der Linden & R. K. Hambleton (Eds.), Handbook of Item Response Theory (Vol 2).
  • Holling, H. (2013). Current Issues in Optimal Design. Zeitschrift für Psychologie, 221, 121-123.
  • Holling, H., Böhning, W., Böhning, D., & Formann, A. K. (2013). The Covariate-Adjusted Frequency Plot. Statistical Methods in Medical Research.
  • Graßhoff U., Holling, H., & Schwabe, R. (2013). Optimal design for count data with binary predictors in item response theory. Advances in Model-Oriented Designs and Analysis, 117-124.
  • Doebler, P., Holling H., & Böhning D. (2012). A Mixed Model Approach to
    Meta-Analysis of Diagnostic Studies with Binary Test Outcome. Psychological Methods, 17, 418-436.
  • Niwitpong, S., Böhning, D., van der Heijden, P. G. H., & Holling, H. (2012). Capture-Recapture Estimation Based Upon the Geometric Distribution allowing for Heterogenity. Metrika.
  • Holling, H., Böhning, W., & Böhning, D. (2012). Meta-analysis of diagnostic studies based upon SROC-curves: a mixed model approach using the Lehmann family. Statistical Modelling - An International Journal 12, issue 4, 347.
  • Graßhoff, U., Holling, H., & Schwabe, R. (2012). Optimal design for the Rasch model. Psychometrika 77, 710-723.
  • Graßhoff, U., Großmann, H., Holling, H., & Schwabe, R. (2012). Optimal Design for Discrete Choice Experiments. Journal of Statistical Planning and Inference 143, 167-175.
  • Graßhoff, U., Doebler, A., Holling, H., & Schwabe, R. (2012). Optimal design for linear regression models in the presence of heteroscedasticity caused by random coefficients. Journal of Statistical Planning and Inference 142, 1108-1113.
  • Holling, H., Böhning, W., & Böhning, D. (2012). Likelihood Based Clustering of Meta-Analytic SROC Curves. Psychometrika, 77, 106-126.
  • Holling, H., & Schwabe, R. (2012). Discussion of the paper Optimum design of experiments for statistical inference by Gilmour, S. G. and Trinca, L. A. Journal of the Royal Statistical Society, Series C (Applied Statistics), 16, 385.
  • Böhning, D., Holling, H., & Pantilea, V. (2011). A limitation of the diagnostic-odds ratio in determining an optimal cut-off value for a continuous diagnostic Test. Statistical Methods in Medical Research, 20, 541-550.
  • Freund, P. A. & Holling, H. (2011). Retest effects in matrix test performance: Differential impact of predictors at different hierarchy levels in an educational setting. Learning and Individual Differences, 21, 597-601.
  • Freund, P. A., & Holling, H. (2011). How to get really smart: Modeling retest and training effects in ability testing using computer-generated figural matrix items. Intelligence, 39, 233-243.
  • Freund, P. A., Kuhn, J.-T., & Holling, H. (2011). Measuring current achievement motivation with the QCM: Short from development and investigation of measurement invariance. Personality and Individual Differences, 51, 629-634.
  • Freund, P. A. & Holling, H. (2011) Who wants to take an intelligence test? Personality and achievement motivation in the context of ability testing. Personality and Individual Differences, 50, 723-728.
  • Holling, H., & Schwabe, R. (2011). The usefulness of Bayesian optimal designs for descrete choice experimentes by Roselinde Kessels, Bradley Jones, Peter Goos and Martina Vandebroek. Applied Stochastic Models in Business and Industry, 27, 189-192.
  • Vock, M., Preckel, F. & Holling, H. (2011). Mental Abilities and school achievement: A test of a mediation hypothesis. Intelligence, 39, 357-369.
  • Zeuch, N., Holling, H., & Kuhn, J.-T. (2011). Analysis of the Latin Square Task with linear logistic test models. Learning and Individual Differences, 21, 629-632.

Books

  • Holling, H., & Gediga, G. (2013). Statistik - Wahrscheinlichkeitstheorie und Schätzverfahren. [Statistics - Probability theory and estimation methods]. Göttingen: Hogrefe.
  • Holling, H., & Gediga, G. (2011). Statistik - Deskriptive Verfahren. [Statistics - Descriptive methods]. Göttingen: Hogrefe.

 

 



Imprint | © 2010 Institut für Psychologie - Arbeitseinheit Holling
Prof. Dr. H. Holling
Statistics and Methods

Fliednerstr. 21 · D-48149 Münster
Tel.: +49 251 83-39419 · Fax: +49 251 83-39469
E-Mail: katharina.weber@uni-muenster.de