*Professor in Methods for Data Analysis *

Address:

Department of Psychology

University of Groningen

Grote Kruisstraat 2/1

9712 TS Groningen

The Netherlands

Telephone: +31 (0)50 363 6193

E-mail: h.a.l.kiers@rug.nl

Website: http://www.gmw.rug.nl/~kiers

- Use and usability of statistics (description)
- Multiway component analysis (description)

Some interesting multiway links are by Kroonenberg and Bro

- Optimization procedures for statistical methods (description)
- Simple structure rotation (description)
- Analysis of asymmetric relationships data (description)

- Currently no regular teaching tasks

- International (ad hoc) courses on Optimization of matrix functions and Multiway Data Analysis

- Past President of the International Federation of Classification Societies (IFCS)

- Member of the International Statistical Institute (ISI)

- Associate editor of
*Psychometrika*

- Member of editorial board of
*Journal of Classification*

- Kiers, H.A.L., & van Mechelen, I. (2001).Three-way component analysis: Principles and illustrative application.
*Psychological Methods, 6*, 84-110.

- Kiers, H.A.L. (2002) Setting up Alternating Least Squares and Iterative Majorization Algorithms for Solving Various Matrix Optimization Problems,
*Computational Statistics and Data Analysis,41*,157-170.

- Kiers, H.A.L. (2004) Bootstrap Confidence Intervals for Three-way Methods.
*Journal of Chemometrics,18*,22-36. (view powerpoint slides)

- Sigrist, M., Keller.C., & Kiers, H.A.L. (2005) A new look at the psychometric paradigm of perception of hazards.
*Risk Analysis, 25,*211-222.

- Kiers, H.A.L., Vicari, D., & Vichi, M. (2005) Simultaneous Classification and Multidimensional Scaling with External Information.
*Psychometrika, 70,*433-460.

- Kiers, H.A.L. (2006) Properties of and algorithms for fitting three-way component models with offset terms,
*Psychometrika, 71*, 231-257. (download Addendum to this article)

- Kiers, H.A.L., & Smilde, A.K. (2007) A comparison of various methods for Multivariate Regression with highly collinear variables.
*Statistical Methods and Applications, 16,*193-228.

- Smilde, A.K. Kiers, H.A.L., Bijlsma, S., Rubingh, C.M., & van Erk, M.J. (2009). Matrix correlations for high-dimensional data: the modified RV-coefficient.
*Bioinformatics, 25,*401–405.

- Stuive, I., Kiers, H.A.L., Timmerman, M.E., & Ten Berge, J.M.F. (2009) Comparison of Methods for adjusting incorrect assignments of items to subtests: Oblique Multiple Group method versus Confirmatory Common Factor method.
*Educational and Psychological Measurement, 69,*948-965.

- Ceulemans, E., Timmerman, M.E., & Kiers, H.A.L. (2011) The CHULL procedure for selecting among multilevel component solutions,
*Chemometrics and Intelligent Laboratory Systems, 106,*12-20.

- Timmerman, M.E., Kiers, H.A.L., and Ceulemans, E. (2016) Searching components with simple structure in simultaneous component analysis: Blockwise Simplimax rotation.
*Chemometrics and Intelligent Laboratory Systems, xx<\i>, xxx-xxx.*12-20.

- Cover, contents, Chapter 1

- Part I: Chapters 2 to 4

- Part II: Chapters 5 to 9

- Part III: Chapter 10

- References

- Dutch summary, Author and subject index

Ten Berge, J.M.F. (1993, 2005) Least Squares Optimization in Multivariate Analysis.

Master thesis by Wobbe Zijlstra, University of Groningen.

(Abstract: pdf version of abstract)

A description of the program can be found here: Simplimax.doc.

The program is a PASCAL based executable program (written for MS-DOS)

Main reference: Kiers, H.A.L. (1994). SIMPLIMAX: Oblique rotation to an optimal target with simple structure.

For Minimum Rank Factor Analysis as well as computation of the greatest lower bound, a windows based program, FACTOR, is available at here

If for some reason one still wishes to use the old mrfa program, it is available here: file: MRFA2.exe (use right mouse click, and 'save target as' command).

A description of the method mrfa can be found here: mrfa.doc.

An example data file can be found here: lord.dat.

Use: unzip zipped file; run "tucker3.m"

Main reference: Kiers, H.A.L., & van Mechelen, I. (2001).Three-way component analysis: Principles and illustrative application.

INDCLUS (Individual Differences Cluster Analysis: indclus.zip (use right mouse click, and 'save target as' command)

Use: unzip zipped file; run "indclus.m"; documention in Word file indclus.doc

Main reference: Kiers, H.A.L. (1997). A modification of the SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models.

Multi Trait Multi Method Componenent Analysis : mtmm-ca.zip (use right mouse click, and 'save target as' command)

Use: unzip zipped file; run "mtmm.m"; program is interactive; description of method can be found in article, also in zip-file

Main reference: Kiers, H.A.L., Takane, Y., & Ten Berge, J.M.F. (1996) The analysis of Multitrait-Multimethod matrices via constrained components analysis.

Orthogonal Congruence Rotation: Orthog Congr Rotation.zip (use right mouse click, and 'save target as' command)

Use: unzip zipped file; run "OrthCongRot.m"; program is interactive; description of method can be found in article, also in zip-file

Main reference: Kiers, H.A.L., & Groenen, P. (1996) A monotonically convergent algorithm for orthogonal congruence rotation.

Zero correlated constrained Parafac: Zero Correlated Parafac.zip (use right mouse click, and 'save target as' command)

Use: unzip zipped file; you will get three matlab script files containing parafac routines; cpfunc.m gives the ordinary Parafac algorithm, and has the zero correlations constraint as an option.

To see how to use this function, first type (in Matlab) "help cpfunc". The m-files Parafac "UncorrColumns Alg 1'.m" and "Parafac UncorrColumns Alg 2'.m" use the two fast algorithms described in the article referred to below. In addition you will find some auxiliary files needed to run these script files.

Main reference: Kiers,H.A.L. & Harshman, R.A. (resubmitted). An Efficient Algorithm for Parafac with Uncorrelated Mode-A Components Applied to Large IxJxK Data Sets with I>>JK.