Prof. Dr. Heinz Holling


Contact

Room

2.244

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

Publications:

Articles in Peer-Reviewed Journals

  • Doebler, P., Holling H., & Böhning D. (in press). A Mixed Model Approach to
    Meta-Analysis of Diagnostic Studies with Binary Test Outcome. Psychological Methods.
  • Graßhoff, U., Holling, H., & Schwabe, R. (in press). Optimal design for the Rasch model. Psychometrika.
  • Schwabe, R., & Holling, H. (in press). Optimum design based on pure error.  Journal of the Royal Statistical Society, Series C (Applied Statistics).
  • Graßhoff, U., Doebler, A., Holling, H., & Schwabe, R. (2012). Optimal design for linear regression models in the presence of heteroscedasticity caused by rendom 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.
  • 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.
  • Graßhoff, U., Holling, H., & Schwabe, R. (2011). Optimal design for discrete choice experiments.  Journal of Statistical Planning and Inference.
  • 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.
  • Holling, H., Deppner, C., Musekamp, G., Stachow, R., & Jannsen, H. (2010). Effects of inpatient rehabilitation for children with atopic dermatitis - a prospective evaluation study. Journal of Evaluation in Clinical Practice. 16, 9364-1367
  • Holling, H., Bertling, J.P., & Zeuch, N. (2009). Automatic item generation of probability word problems. Studies in Educational Evaluation, 35, 71-76.
  • Kuhn, J.-T., & Holling, H. (2009). Gender, reasoning ability, and scholastic achievement: A multilevel mediation analysis. Learning and Individual Differences, 19, 229-233.
  • Kuhn, J.-T., & Holling, H. (2009). Measurement invariance of divergent thinking across gender, age and school forms. European Journal of Psychological Assessment, 25, 1-7. 
  • Kuhn, J.-T., & Holling, H. (2009). Exploring the nature of divergent thinking: A multilevel analysis. Thinking Skills and Creativity, 4, 116-123.
  • Holling, H., Blank, H., Kuchenbäcker, K., & Kuhn, J.-T. (2008). Rule-based item design of statistical word problems: A review and first implementation. Psychology Science Quarterly, 50, 363-378.
  • Böhning, D., Böhning, W., & Holling, H. (2008). Revisiting Youden's index as a useful measure of the misclassification error in meta-analysis of diagnostic studies. Statistical Methods in Medical Research, 17, 543-554.
  • Vock, M., & Holling, H. (2008). The measurement of visuo-spatial and verbal-numerical working memory: Development of IRT based scales. Intelligence, 36, 161-182.
  • Freund, P. A., Hofer, S., & Holling, H. (2008). Explaining and controlling for the psychometric properties of computer-generated figural matrix items. Applied Psychological Measurement, 32, 195-210.
  • Freund, P. A., & Holling, H. (2008). Creativity in the classroom: A multilevel analysis investigating the impact of creativity and reasoning ability on scholastic achievement. Creativity Research Journal, 20,  309-318.
  • Holling, H., & Kuhn, J.-T. (2008). Does intellectual giftedness affect the factor structure of divergent thinking? Evidence from a MG-MACS analysis. Psychology Science Quarterly, 50, 283-294.
  • Walter, O. B., & Holling, H.(2008). Transitioning from fixed-length questionnaires to computer-adaptive versions. Zeitschrift für Psychologie - Journal of Psychology216,  22-28.
  • Beckmann, B., Holling, H., & Kuhn, J.-T. (2007). Reliability of verbal-numerical working memory tasks. Personality and Individual Differences, 43, 703-714. 
  • Freund, P. A., Holling, H., & Preckel, F. (2007). A multivariate, multilevel analysis of the relationship between cognitive abilities and scholastic achievement. Journal of Individual Differences, 28, 188-197.
  • Graßhoff, U., Großmann, H., Holling, H., & Schwabe, R (2007).Design optimality in multi-factor generalized linear models in the presence of an unrestricted quantitative factor. Journal of Statistical Planning and Inference, 37, 3882-3893.
  • Holling, H., Böhning, D., & Böhning, W. (2007). Meta-Analysis of binary data based upon dichotomized criteria. Zeitschrift für Psychologie – Journal of Psychology, 3, 122-131.
  • Großmann, H., Holling, H., Graßhoff, U., & Schwabe, R. (2006). Optimal designs for asymmetric linear paired comparisons with a profile strength constraint. Metrika, 64, 109-119. 
  • Preckel, F., Holling, H., & Vock, M. (2006). Scholastic underachievement: Relationship with cognitive motivation, achievement motivation, and conscientiousness. Psychology in the Schools, 43, 401-411. 
  • Preckel, F., Holling, H., & Wiese, M. (2006). Intelligence and creativity in gifted and non-gifted students: An investigation of threshold theory. Personality and Individual Differences, 40, 159-170.
  • Holling, H. & Preckel, F. (2005). Self-estimation of intelligence - methodological approaches and gender differences. Personality and Individual Differences, 38, 503-517.
  • Graßhoff, U., Großmann, H., Holling, H., & Schwabe, R. (2004). Optimal designs for main effects in linear paired comparison models. Journal of Statistical Planning and Inference, 126, 361-376.
  • Graßhoff, U., Großmann, H., Holling, H., & Schwabe, R. (2003). Optimal paired comparison designs for first-order interactions. Statistics, 37, 373-386.
  • Holling, H., Vock, M. & Preckel, F. (2001). Fostering giftedness at school – a stocktaking in the states of the Federal Republic of Germany. Australasian Journal of Gifted Education, 10, 48-63.
  • Malzahn, U., Böhning, D., & Holling, H. (2000). Nonparametric estimation of heterogeneity variance for the standardised difference used in meta-analysis. Biometrika, 87, 619-632.

 

Books

 

  • Holling, H., & Gediga, G.  (2010). Statistics. Göttingen: Hogrefe (published in German).
  • Holling, H., & Schmitz, B. (Eds.) (2010). Handbook of statistics, methodology and evaluation. Göttingen: Hogrefe (published in German).
  • Preckel, F., Schneider, W., & Holling, H. (Eds.) (2010). Diagnosis of giftedness. Göttingen: Hogrefe (published in German).
  • Holling, H. (Ed.) (2009). Fundamentals and statistical methods of evaluation research. Encyclopedia of psychology: Evaluation - Volume 1. Göttingen: Hogrefe (published in German).
  • Vock, M., Preckel, F., & Holling, H. (2008). How effective are inventions for fostering giftedness at school. Göttingen: Hogrefe (published in German). 
  • Jäger, A. O., Holling, H., Preckel, F., Schulze, R., Vock, M., Süß, H.-M., & Beauducel, A. (2006). Berlin test of intelligence structure for adolescents: Diagnosis of giftedness. Göttingen: Hogrefe (published in German).   
  • Holling, H., Preckel, F., & Vock, M. (2006). Diagnosis of intelligence. Göttingen: Hogrefe (published in German).   

 

Book Chapters

 

  • Holling, H. (2010). Generalizability theory. In: Holling, H., & Schmitz, B. (Eds.).  Handbook of statistics, methodology and evaluation (pp. 686-699). Göttingen: Hogrefe (published in German).
  • Holling, H., Bertling, J., Zeuch, N., & Kuhn, J.-T. (2010). Automatic item generation. In Preckel, F., Schneider, W., & Holling, H. (Eds.) (2010). Diagnosis of giftedness (pp. 211 -231). Göttingen: Hogrefe (published in German).
  • Colver, B., & Holling, H. (2009). Generalized linear models. In: Holling, H. (Ed.) (2009). Fundamentals and statistical methods of evaluation research. Encyclopedia of psychology: Evaluation - Volume 1 (pp. 363 -392). Göttingen: Hogrefe (published in German). 
  • Holling, H. (2009). Fundamentals of evaluation research. In: Holling, H. (Ed.) (2009). Fundamentals and statistical methods of evaluation research. Encyclopedia of psychology: Evaluation - Volume 1 (pp. 1 -34). Göttingen: Hogrefe (published in German).
  • Brocke, M. & Holling, H. (2007). Decision theory. In: Schuler, H. &  Sonntag, K. (Eds), Handbook of work and organizational psychology (pp. 59 – 65). Göttingen: Hogrefe (published in German). 
  • Freund, Ph. A. & Holling, H. (2007). Strategies of design. In: Schuler, H. & Sonntag, K. (Eds). Handbook of work and organizational psychology (pp. 77 – 89). Göttingen: Hogrefe (published in German).
  • Großmann, H., Brocke, M. & Holling, H. (2007). A conjoint measurement rationale for inducing preferences. In: M. Abdellaoui, R. D. Luce, M. J. Machina & B. Munier (Eds.), Uncertainty and risk. Theory and decision library, Series C. New York: Springer. 
  • Holling, H., & Kuhn, J.-T. (2007). Methods of data collection. In: Schuler, H. &  Sonntag, K. (Eds), Handbook of work and organizational psychology (pp. 90 - 97). Göttingen: Hogrefe (published in German).
  • Vock, M., & Holling, H. (2006). Diagnosis of intelligence. In: Petermann, F. & Eid, M. (Eds.), Handbook of psychological diagnostics (pp. 494-502). Göttingen: Hogrefe (published in German).

 

 

 



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

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