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) (2. Phase, 2013 - 2016)

Editorial Board:

  • 2013 - now: Associate Editor of Journal of Probability and Statistics
  • 2012 - 2014: Associate Editor of ISRN Probability and Statistics
  • 2009 - now: Associate Editor of Zeitschrift für Psychologie
  • 2008 - now: Associate Editor of Thailand Statistician: Journal of the Thai Statistical Association
  • 1995 - 2003: Associate Editor of Diagnostica

Reviewer:

  • Science
  • Biometrics
  • Psychometrika
  • Journal of Mathematical Psychology

Academic activities outside university:

  • 2008 - now: General Secretary of the European Association of Methodology
  • 2000 - now: Member of Advisory Council for Giftedness of the Federal Ministry of Education and   Research
  • 2000 - 2005: Member of the Scientific Advisory Council of German Telekom


Selected Publications since 2011:

Articles in Peer-Reviewed Journals

  • Doebler, P., & Holling, H. (in press). Meta-analysis of diagnostic accuracy and roc curves with covariate adjusted semiparametric mixtures. Psychometrika.
  • Holling. H., Böhning, W., & Böhning, D. (in press). The covariate-adjusted frequency plot for the Rasch Poisson counts model. Thailand Statistician.
  • Alavash, M., Doebler, P., Holling, H., Thiel, C. M., & Gießing, C. (in press). Is functional integration of resting state brain networks an unspecific biomarker für working memory performance? NeuroImage.
  • Kuhn, J.-T., & Holling H. (in press). Number Sense or working memory? The effect of two computer-based trainings on mathematical skills in elementary school. Advances in Cognitive Psychology.
  • Biehler M., Doebler P., & Holling H. (in press). Saddlepoint approximations of the distribution of the person parameter in the two parameter logistic model. Psychometrika.
  • Skodzik, T., Holling, H., & Pedersen, A. (in press). Long-term memory performance in adult ADHD- a Meta-Analsis. Journal of Attention Disorders.
  • 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).
  • Doebler, P., Doebler, A., & Holling, H. (2014). A latent ability model for count data and an application to processing speed. Applied Psychological Measurement, 38, 587-598.
  • Charoensawat, S., Böhning, W., Böhning, D., & Holling, H. (2014). Meta-analysis and meta-modelling for diagnostic problems. BMC Medical Research Methodolody, 14-56.
  • Doebler, A., Doebler, P., & Holling, H. (2013). Optimal and Most Exact Condence Intervals for Person Parameters in Item Response Theory Models. Psychometrika, 78, 98-115.
  • Kuhn, J.-T., Raddatz, J., Holling, H., & Dobel, C. (2013). Dyskalkulie vs. Rechenschwäche: Basisnumerische Verarbeitung in der Grundschule. Lernen und Lernstörungen, 2, 229-247.
  • Holling, H. (2013). Current Issues in Optimal Design. Zeitschrift für Psychologie, 221, 121-123.
  • Holling, H. & Schwabe, R. (2013) An introduction to optimal design. Zeitschrift für Psychologie, 221, 3, S. 124-144.
  • 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.

Book chapters

  • Graßhoff, U., Holling, H., & Schwabe, R. (in press). Poisson model with three binary predictors: When are saturated designs optimal? (Stocastic Models, Statistics and Their Applications). In A. Steland, E. Rafajlowicz & K. Szajkowski (Eds.), Stochastic Models, Statistics and Their Applications. Cham: Springer.
  • Graßhoff, U., Holling, H., & Schwabe, R. (2013). Optimal design for count data with binary predictors in item response theory. In D. Ucinski, A. C. Atkinson & M. Patan (Eds.) 10-Adcances in Model-Oriented Design and Analysis. (pp. 117-124). Heidelberg: Physica.

Books

  • Holling, H., & Gediga, G. (2015) Statistik - Testverfahren [testing methods]. Göttingen: Hogerefe.
  • 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

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