Last Update August 2017
Publications are given in chronological order and they have been numbered . If you want a copy of any of these (except the books), just send me (h.a.l.kiers@rug.nl) an email specifying the numbers of the publications you would like to have.
In chronological order
1: Kiers, H.A.L. & Ten Berge, J.M.F. (1987) [Review of H.G. Law, C.W. Snyder, J.A. Hattie, and R.P. McDonald (Eds.), Research methods for multimode data analysis]. Psychometrika, 52, 479-481.
2: Ten Berge, J.M.F., Knol, D.L. & Kiers, H.A.L. (1988) A treatment of the Orthomax rotation family in terms of diagonalization, and a re-examination of a singular value approach to Varimax rotation. Computational Statistics Quarterly, 4, 207-217.
3: Ten Berge, J.M.F., Kiers, H.A.L. and De Leeuw, J. (1988) Explicit Candecomp/Parafac solutions for a contrived 2x2x2 array of rank three. Psychometrika, 53, 579-583.
4: Kiers, H.A.L. (1988) Principal Components Analysis on a mixture of quantitative and qualitative data based on generalized correlation coefficients. In: M.G.H. Jansen and W.H. van Schuur (Eds.) The many faces of multivariate analysis (Vol.I), Proceedings of the SMABS-88 Conference in Groningen (pp. 67-81). Groningen: RION.
5: Ten Berge, J.M.F & Kiers, H.A.L. (1988) Proper communality estimates minimizing the sum of the smallest eigenvalues for a covariance matrix. In: M.G.H. Jansen and W.H. van Schuur (Eds.) The many faces of multivariate analysis (vol.I), Proceedings of the SMABS-88 Conference in Groningen (pp. 30-37). Groningen: RION.
6: Kiers, H.A.L. (1989) INDSCAL for the analysis of categorical data. In: R. Coppi and S. Bolasco (Eds.), Analysis of multiway data matrices (pp. 155-167). Amsterdam: Elsevier Science Publishers.
7: Ten Berge, J.M.F. & Kiers, H.A.L. (1989) Convergence properties of an iterative procedure of ipsatizing and standardizing a data matrix, with applications to Parafac/Candecomp preprocessing. Psychometrika, 54, 231-235.
8: Ten Berge, J.M.F. & Kiers, H.A.L. (1989) Fitting the off-diagonal DEDICOM model in the least-squares sense by a generalization of the Harman & Jones MINRES procedure of factor analysis. Psychometrika, 54, 333-337.
9: Kiers, H.A.L. (1988) Comparison of 'anglo-saxon' and 'french' three-mode methods. Statistique et Analyse des Données, 13 (3), 14-32.
10: Kiers, H.A.L. (1989) A computational short-cut for INDSCAL with orthonormality constraints on positive semi-definite matrices of low rank. Computational Statistics Quarterly, 5, 119-135.
11: Kroonenberg, P.M., Ten Berge, J.M.F., Brouwer, P., & Kiers, H.A.L. (1989) Gram-Schmidt versus Bauer-Rutishauser in alternating least-squares algorithms for three-mode component analysis. Computational Statistics Quarterly, 5, 81-87.
12: Kiers, H.A.L. (1989) An alternating least squares algorithm for fitting the two- and three-way DEDICOM model and the IDIOSCAL model. Psychometrika, 54, 515-521.
13: Kiers, H.A.L. & Ten Berge, J.M.F. (1989) Alternating least squares algorithms for Simultaneous Components Analysis with equal component weight matrices in two or more populations. Psychometrika, 54, 467-473.
14: Kiers, H.A.L. (1990) PROCRUSTES-PC v2.0: Een programma voor gegeneraliseerde Procrustes-analyse. Kwantitatieve methoden, 33, 177-188.
15: Kiers, H.A.L. & Ten Berge, J.M.F. (1989) Optimality conditions for the trace of certain matrix products. Linear Algebra and its Applications, 126, 125-134.
16: Ten Berge, J.M.F., & Kiers, H.A.L. (1990) Simultane componenten-analyse voor twee of meer groepen personen. Nederlands tijdschrift voor de Psychologie, 45, 221-226.
17: Kiers, H.A.L. & Ten Berge, J.M.F. (1990) An orthogonal Procrustes rotation procedure for multiple correspondence analysis. COMPSTAT 1990 (pp. 163-168). Heidelberg: Physica-Verlag.
18: Kiers, H.A.L. (1990) [Boekbespreking van J.P. van de Geer, Analyse van kategorische gegevens] Mens en Maatschappij, 65, 201-202.
19: Kiers, H.A.L., Ten Berge, J.M.F., Takane, Y. & De Leeuw, J. (1990) A generalization of Takane's algorithm for DEDICOM. Psychometrika, 55, 151-158.
20: Kiers, H.A.L. (1990) Majorization as a tool for optimizing a class of matrix functions. Psychometrika, 55, 417-428.
21: Van Lange, P.A.M., Liebrand, W.B.G., Kiers, H.A.L., & Zwaal, W. (1989) Redenen voor en attributies van keuzegedrag in een N-personen prisoner's dilemma. Nederlands tijdschrift voor de Psychologie, 44, 225-234.
22: Kiers, H.A.L., & Krijnen, W.P. (1991) An efficient algorithm for PARAFAC of three-way data with large numbers of observation units. Psychometrika, 56, 147-152.
23: Kiers, H.A.L. (1991) Simple structure in component analysis techniques for mixtures of qualitative and quantitative variables. Psychometrika, 56, 197-212.
24: Ten Berge, J.M.F. & Kiers, H.A.L. (1991) Some clarifications of the CANDECOMP algorithm applied to INDSCAL. Psychometrika, 56, 317-326.
25: Ten Berge, J.M.F. & Kiers, H.A.L. (1991) A numerical approach to the approximate and the exact minimum rank of a covariance matrix. Psychometrika, 56, 309-315.
26: Kiers, H.A.L. (1991) Hierarchical relations among three-way methods. Psychometrika, 56, 449-470.
27: Zuckerman, M., Kuhlman, D.M., Thornquist, M., & Kiers, H.A.L. (1991) Five (or three) robust questionnaire scale factors of personality without culture. Personality and Individual Differences, 12, 929-941.
28: D'Ambra, L., & Kiers, H.A.L. (1991) Analysis of log-trilinear models for a three-way contingency table using PARAFAC/CANDECOMP. In: Societa Italiana di Statistica, Atti delle giornate di studio di Pescara, 11-12 ottobre 1990 (pp.101-114). Chieti: Marino Solfanelli Editore.
29: Van Dam-Baggen, R., Kraaimaat, F., & Kiers, H.A.L. (1991) De inventarisatielijst Omgaan met Anderen (IOA): een vervolgonderzoek naar de validiteit van de subschalen. Gedragstherapie, 24 (2), 89-98.
30: Van Dam-Baggen, C.M.J., Kraaimaat, F.W., & Kiers, H.A.L. (1992) Een exploratief onderzoek naar de struktuur van sociale angst bij sociaal angstige psychiatrische patiënten en niet-sociaal angstige normale personen. Nederlands Tijdschrift voor de Psychologie, 47, 41-45.
31: De Jong, S., & Kiers, H.A.L. (1992). Principal covariates regression. Part I: Theory. Chemometrics and Intelligent Laboratory Systems, 14, 155-164.
32: Lazraq, A., Kiers, H.A.L., Cléroux, R. (1992) Mesures de liaison vectorielle et généralisation de l'analyse canonique. Revue de Statistique Appliquée, 39, 23-35.
33: Kiers, H.A.L. (1992) [Review of J.J.F. Commandeur: Matching Configurations. Leiden: DSWO Press]. Psychometrika, 57, 323-326.
34: Kiers, H.A.L., & Ten Berge, J.M.F. (1992) Minimization of a class of matrix trace functions by means of refined majorization. Psychometrika, 57, 371-382.
35: Kiers, H.A.L., Kroonenberg, P.M., & Ten Berge, J.M.F. (1992) An efficient algorithm for TUCKALS3 with large numbers of observation units. Psychometrika, 57, 415-422.
36: Ten Berge, J.M.F. & Kiers, H.A.L. (1993) Exact and approximate solutions for the minimum rank of a covariance matrix. In R. Steyer, K.F. Wender, & K.F. Widaman (Eds.), Psychometric methodology. Proceedings of the 7th European meeting of the Psychometric Society in Trier (pp.22-26). Stutgart and New York: Gustav Fischer Verlag.
37: Kiers, H.A.L. (1993) An alternating least squares algorithm for PARAFAC2 and DEDICOM3. Computational Statistics and Data Analysis, 16, 103-118.
38: Kiers, H.A.L. (1992) TUCKALS core rotations and constrained TUCKALS modelling. Statistica Applicata, 4, 659-667.
39: Ten Berge, J.M.F., Kiers, H.A.L., & Van der Stel, V. (1992) Simultaneous Components Analysis. Statistica Applicata, 4, 377-392.
40: Kiers, H.A.L. (1993) Handling ordinal variables in three-way analysis of quantification matrices for variables of mixed measurement levels. British Journal of Mathematical and Statistical Psychology, 46, 135-152.
41: Ten Berge, J.M.F., Kiers, H.A.L., & Krijnen, W.P. (1993) Computational solutions for the problem of negative saliences and nonsymmetry in INDSCAL. Journal of Classification, 10, 115-124.
42: Ten Berge, J.M.F., Kiers, H.A.L., & Commandeur, J.J.F. (1993) Orthogonal Procrustes rotation for matrices with missing values. British Journal of Mathematical and Statistical Psychology, 46, 119-134.
43: Kiers, H.A.L., & Takane, Y. (1993) Constrained DEDICOM. Psychometrika, 58, 339-355.
44: Ten Berge, J.M.F., & Kiers, H.A.L. (1993) An alternating least squares method for the weighted approximation of a symmetric matrix. Psychometrika, 58, 115-118.
45: Kiers, H.A.L. (1993) A comparison of techniques for finding components with simple structure. In C.M. Cuadras & C.R. Rao (Eds.) Multivariate Analysis: Future Directions 2. Amsterdam: Elsevier Science Publishers (pp. 67-86).
46: Krijnen, W.P. & Kiers, H.A.L. (1993) Clustered variables in PARAFAC. In: J.H.L. Oud & R.A.W. van Blokland-Vogelesang (Eds.) Advances in longitudinal and multivariate analysis in the behavioral sciences: Proceedings of the SMABS 1992 conference (pp.165-177). Nijmegen; ITS.
47: Kiers, H.A.L. (1993) The exploratory analysis of qualitative variables by means of three-way analysis of two types of quantification matrices. Applied Stochastic Models and Data Analysis, 9, 301-317.
48: Kiers, H.A.L., Takane, Y., Mooijaart, A. (1993) A monotonically convergent algorithm for FACTALS. Psychometrika, 58, 567-574.
49: Kiers, H.A.L., & Marchetti, G.M. (1994) Handling large numbers of observation units in three-way methods for the analysis of qualitative and quantitative two-way data. Computational Statistics, 9, 41-64.
50: Kiers, H.A.L., & Ten Berge, J.M.F. (1994) The Harris-Kaiser independent cluster rotation as a method for rotation to simple component weights. Psychometrika, 59, 81-90.
51: Kiers, H.A.L., & Takane, Y. (1994) A generalization of Gipscal for the analysis of nonsymmetric data. Journal of Classification, 11, 79-99.
52: Kiers, H.A.L., & Ten Berge, J.M.F. (1994) Hierarchical relations between methods for simultaneous component analysis and a technique for rotation to a simple simultaneous structure. British Journal of Mathematical and Statistical Psychology, 47, 109-126.
53: Ten Berge, J.M.F., Bekker, P.A., & Kiers, H.A.L. (1994) Some clarifications of the TUCKALS2 algorithm applied to the IDIOSCAL problem. Psychometrika, 59, 193-201.
54: Kiers, H.A.L., Cléroux, R., & Ten Berge, J.M.F. (1994) Generalized canonical analysis based on optimizing matrix correlations and a relation with IDIOSCAL. Computational Statistics and Data Analysis, 18, 331-340.
55: Kiers, H.A.L. (1994) SIMPLIMAX: Oblique rotation to an optimal target with simple structure. Psychometrika, 59, 567-579.
56: Van Schuur, W.H., & Kiers, H.A.L. (1994) Why factor analysis often is the incorrect model for analyzing bipolar concepts, and what model to use instead. Applied Psychological Measurement, 18, 97-110.
57: Van der Molen, H.T., Korbee, Ch., & Kiers, H.A.L. (1995). Selectie en management-ontwikkeling van schoolleiders: Het assessment center onderwijsmanagement. In: F.J.R.C. Dochy & T.R. de Rijke (Eds.) Assessment Centers: Nieuwe toepassingen in opleiding, onderwijs en HRM (pp. 239-254). Utrecht: Lemma.
58: Kiers, H.A.L. (1995) Maximization of sums of quotients of quadratic forms and some generalizations. Psychometrika, 60, 221-245.
59: Takane, Y., Kiers, H.A.L., & De Leeuw, J. (1995) Component analysis with different sets of constraints on different dimensions. Psychometrika, 60, 259-280.
60: Kiers, H.A.L., & Smilde, A.K. (1995) Some theoretical results on second order calibration methods for data with and without rank overlap. Journal of Chemometrics, 9, 179-195.
61: Krijnen, W.P. & Kiers, H.A.L. (1995) An efficient algorithm for weighted PCA. Computational Statistics, 10, 299-306.
62: Rikken, F., Kiers, H.A.L., & Vos, R. (1995) Mapping the dynamics of adverse drug reactions in subsequent time periods using Indscal. Scientometrics, 33, 367-380.
63: Ten Berge, J.M.F. & Kiers, H.A.L. (1996) Some uniqueness results for PARAFAC2. Psychometrika, 61, 123-132.
64: Kiers, H.A.L. (1996) Review of J.P. van de Geer. Multivariate analysis of categorical data: Vol. I. Theory; Vol. II: Applications. Newbury Park , CA: Sage Publications, 1993, 99+124 pp. Journal of Classification, 13, 175-178.
65: Kiers, H.A.L., & Groenen, P. (1996) A monotonically convergent algorithm for orthogonal congruence rotation. Psychometrika, 61, 375-389.
66: Ten Berge, J.M.F. & Kiers, H.A.L. (1996) Optimality criteria for principal component analysis and generalizations. British Journal of Mathematical and Statistical Psychology, 49, 335-345.
67: Kiers, H.A.L., Takane, Y., & Ten Berge, J.M.F. (1996) The analysis of Multitrait-Multimethod matrices via constrained components analysis. Psychometrika, 61, 601-628.
68: Kiers, H.A.L., & Harshman, R.A. (1997) Relating two proposed methods for speedup of algorithms for fitting two- and three-way principal component and related multilinear models. Chemometrics and Intelligent Laboratory Systems, 36, 31-40.
69: Hofstee, W.K.B., Kiers, H.A.L., De Raad, B., Goldberg, L.R., & Ostendorf, F. (1997) A comparison of Big-Five structures of personality traits in Dutch, English and German. European Journal of Personality, 11, 15-31.
70: Hofstee, W.K.B., & Kiers, H.A.L. (1997) Een algemeen model voor loting en selectie bij numerus clausus. Tijdschrift voor Onderwijs Research, 22, 1, 81-85.
71: Kiers, H.A.L. (1997) Weighted least squares fitting using iterative ordinary least squares algorithms. Psychometrika, 62, 251-266.
72: Kiers, H.A.L., Ten Berge, J.M.F., & Rocci, R. (1997) Uniqueness of three-mode factor models with sparse cores: The 3x3x3 case. Psychometrika, 62, 349-374.
73: Takane, Y., & Kiers, H.A.L. (1997) Latent Class DEDICOM. Journal of Classification, 14, 225-247.
74: Kiers, H.A.L. (1997) Discrimination by means of components that are orthogonal in the data space. Journal of Chemometrics, 11, 533-545.
75: Ten Berge, J.M.F., Kiers, H.A.L. (1997) Are all varieties of PCA the same? A reply to Cadima & Jolliffe. British Journal of Mathematical and Statistical Psychology, 50, 367-368.
76: Kiers, H.A.L. (1997) A modification of the SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models. Journal of Classification, 14, 297-310.
77: Bro, R., & Kiers. H.A.L. (1997) Meeting Report: TRICAP: Three-way methods in Chemistry and Psychology, Lake Chelan WA, USA, 4-9 May, 1997. Journal of Chemometrics, 11, 463-466.
78: Kiers, H.A.L. (1997) Techniques for rotating two or more loading matrices to optimal agreement and simple structure: A comparison and some technical details. Psychometrika, 62, 545-568.
79: Kiers, H.A.L. (1997) Three-mode Orthomax rotation. Psychometrika, 62, 579-598.
80: Kiers, H.A.L. (1997) DESICOM: Decomposition of asymmetric relationships data into simple components. Behaviormetrika, 24, 203-217.
81: Kiers, H.A.L. (1998) Recent developments in three-mode factor analysis: Constrained three-mode factor analysis and core rotations. C. Hayashi et al. (Eds.) Data Science, Classification and Related Methods (pp. 563-574). Tokyo: Springer-Verlag.
82: Kiers, H.A.L., & Hofstee, W.K.B. (1997) Gewogen loting in combinatie met rechtstreekse toelating vanaf examencijfer 8. Tijdschrift voor Onderwijs Research, 22, 298-301.
83: Kiers, H.A.L., & Smilde, A.K. (1998) Constrained three-mode factor analysis as a tool for parameter estimation with second-order instrumental data. Journal of Chemometrics, 12, 125-147.
84: Kiers, H.A.L. (1998) A three-step algorithm for Candecomp/Parafac analysis of large data sets with multicollinearity, Journal of Chemometrics, 12, 155-171.
85: Kiers, H.A.L. (1998) An overview of three-way analysis and some recent developments. In: A. Rizzi, M. Vichi,and H.-H. Bock (Eds.) Advances in data science and classification (pp. 593-602). Berlin: Springer.
86: Timmerman, M.E., & Kiers, H.A.L. (1998). Constrained three-way data analysis of multivariate longitudinal data. In: Data Science, Classification and Related methods, short papers (pp. 307-310), Istituto Nazionale di Statistica, Roma.
87: Kiers, H.A.L. (1998) Three-way SIMPLIMAX for oblique rotation of the three-mode factor analysis core to simple structure, Computational Statistics and Data Analysis, 28, 307-324.
88: Kiers, H.A.L. (1998) Joint orthomax rotation of the core and component matrices resulting from three-mode principal components analysis. Journal of Classification, 15, 245-263.
89: Kiers, H.A.L. (1998) Review of W.J. Krzanowski and F.H.C. Marriot. Multivariate Analysis Part 2: Classification, Covariance structure and repeated measurements. London: Arnold, 1995, pp. 280+viii. Journal of Classification, 15, 294-297.
90: Murakami, T., Ten Berge, J.M.F., & Kiers, H.A.L. (1998) A case of extreme simplicity of the core matrix in three-mode principal components analysis. Psychometrika, 63, 255-261.
91: Smilde, A.K. & Kiers, H.A.L. (1999) Multiway covariates regression models. Journal of Chemometrics, 13, 31-48.
92: Kiers, H.A.L. (1999) Review of I. Borg and P. Groenen. Modern multidimensional scaling: Theory and applications. New York: Springer, 1997, pp. 471+xvii. Psychometrika, 64, 95-97.
93: Kiers, H.A.L., Ten Berge, J.M.F., & Bro, R. (1999) PARAFAC2 – Part I. A direct fitting algorithm for the PARAFAC2 model. Journal of Chemometrics, 13, 275-294.
94: Ten Berge, J.M.F., & Kiers, H.A.L. (1999). Simplicity of core arrays in three-way principal components analysis and the typical rank of PxQx2 arrays. Linear Algebra and Its Applications, 294, 169-179.
95: Bro, R., Andersson, C., & Kiers, H.A.L. (1999) PARAFAC2 – Part II. Modeling chromatographic data with retention time shifts. Journal of Chemometrics, 13, 295-309.
96: Ten Berge, J.M.F., & Kiers, H.A.L. (1999) Retrieving the correlation matrix from a truncated PCA solution: The inverse principal component problem, Psychometrika, 64, 317-324.
97: van Mechelen, I., & Kiers, H.A.L. (1999) Individual differences in anxiety responses to stressful situations: A three-mode component analysis model. European Journal of Personality, 13, 409-428.
98: Louwerse, D.J., Smilde, A.K. & Kiers, H.A.L. (1999) Cross-validation of multiway component models, 13, 491-510.
99: Timmerman, M.E., & Kiers, H.A.L. (2000) Three-mode principal components analysis: Choosing the numbers of components and sensitivity to local optima. British Journal of Mathematical and Statistical Psychology, 53, 1-16.
100: Kiers, H.A.L. (2000). Towards a Standardized Notation and Terminology in Multiway Analysis, Journal of Chemometrics, 14, 105-122.
101: Kiers, H.A.L. (2000) Some procedures for displaying results from three-way methods. Journal of Chemometrics, 14, 151-170.
102: Ten Berge, J.M.F., Kiers, H.A.L., Murakami, T., & van der Heijden, R.M.J. (2000) Transforming three-way arrays to multiple orthonormality. Journal of Chemometrics, 14, 275-284.
103: Kiers, H.A.L., & Krzanowski, W. (2000) Projections distinguishing isolated groups in multivariate data spaces. In: W. Gaul, O. Opitz, & M. Schader (eds.) Data analysis: Scientific modeling and practical application (pp. 207-218), Heidelberg: Springer.
104: Kiers, H.A.L. (2001) Leven in onzekerheid en eenvoud. De Psycholoog, 36, 226-233.
105: Kiers, H.A.L. (2001) Leven in onzekerheid en eenvoud. Oratie, uitgegeven in eigen beheer.
106: Kiers, H.A.L. (2000) Discussion of Lange, Hunter & Yang, Optimization transfer algorithms in statistics. Journal of Computational and Graphical Statistics, 9,1,21-25.
107: Kiers, H.A.L., & van Mechelen, I. (2001) Three-way component analysis: Principles and illustrative application. Psychological Methods, 6, 84-110.
108: Smilde, A.K., Hoefsloot, H.C.J., Kiers, H.A.L., Bijlsma, S., & Boelens, H.F.M. (2001) Sufficient conditions for unique solutions within a certain class of curve resolution models. Journal of Chemometrics, 15, 405-411.
109: Vichi, M., & Kiers, H.A.L. (2001) Factorial k-means analysis for two-way data. Computational Statistics and Data Analysis, 37, 49-64.
110: Smilde, A.K., Kiers, H.A.L. (2001) Meerweganalyse als cement tussen de psychologie en de chemie. STATOR, augustus 2001/2, 5-9.
111: Spikman, J., Deelman, B, & Kiers, H.A.L. (2001) Construct validity of concepts of attention in healthy controls and patients with CHI. Brain and Cognition, 47, 446-460.
112: Kiers, H.A.L. (2002) Categorization is not the only way. A comment on Rodrigo, M.F., & Ato, M. European Journal of Social Psychology, 32, 19-26.
113: Timmerman, M.E. & Kiers (2002) Three-way component analysis with smoothness constraints. Computational Statistics and Data Analysis, 40, 447-470.
114: Lorenzo-Seva, U., Kiers, H.A.L. & Ten Berge, J.M.F. (2002) Techniques for oblique factor rotation of two or more loading matrices to a mixture of simple structure and optimal agreement. British Journal of Mathematical and Statistical Psychology, 55, 337-360.
115: Zijlstra, B.J.H. & Kiers, H.A.L. (2002) Degenerate solutions obtained from several variants of factor analysis. Journal of Chemometrics, 16, 596-605.
116: 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.
117: van der Velden, M., & Kiers, H.A.L. (2003) An application of rotation in correspondence analysis. In: H. Yanai, A.Okada, K. Shigemasu, Y. Kano & J.J. Meulman (Eds.) New developments in Psychometrics: Proceedings of the international meeting of the Psychometric Society IMPS2001, pp. 471-478.
118: Kiers, H.A.L. (2003) Uniqueness properties of three-way component models with offset terms. In: H. Yanai, A.Okada, K. Shigemasu, Y. Kano & J.J. Meulman (Eds.) New developments in Psychometrics: Proceedings of the international meeting of the Psychometric Society IMPS2001, pp. 355-362.
119: Kiers, H.A.L. & der Kinderen, A. (2003) A fast method for choosing the numbers of components in Tucker3 analysis. British Journal of Mathematical and Statistical Psychology, 56, 119-125.
120: Kiers, H.A.L. (2003) Some alternatives to PLS. In: Società Italiana di Statistica, Analisi Statistica Multivariata per le Scienze Economico-Sociali, le Scienze Naturali e la Tecnologia, pp.171-182. Napoli: RCE Edizioni.
121: Bro, R. Kiers, H.A.L. (2003) A new efficient method for determining the number of components in PARAFAC models, Journal of Chemometrics, 17, 274-286.
122: Timmerman, M.E. & Kiers, H.A.L. (2003) Four simultaneous component models of multivariate time series from more than one subject to model intraindividual and interindividual differences. by Psychometrika, 68, 105-121.
123: Giordani , P. & Kiers, H.A.L. (2004) Principal Component Analysis of symmetric fuzzy data. Computational Statistics and Data Analysis, 45, 519-548.
124: Van Beilen, M., Kiers, H.A.L., Bouma, A., van Zomeren, E.H., Withaar, F.K., Arends, J., & van den Bosch, R.J. (2003). Cognitive deficits and social functioning in schizophrenia: A clinical perspective. The Clinical Neuropsychologist, 17, 507-514.
125: Kiers, H.A.L. (2004) Bootstrap confidence intervals for three-way methods. Journal of Chemometrics, 18, 22-36.
126: Kiers, H.A.L. (2004) Clustering all three modes of three-mode data: Computational possibilities and problems. In: Antoch, J. (Ed.) COMPSTAT, Proceedings in Computational Statistics. Heidelberg: Springer, pp. 303-313.
127: Giordani, P. and Kiers, H.A.L. (2004) Three-way component analysis of interval valued data. Journal of Chemometrics, 18, 253-264.
128: Groenen, P.J.F., Giaquinto, P. & Kiers, H.A.L. (2005) An improved majorization algorithm for robust Procrustes analysis. In M. Vichi, P. Monari, S. Mignani & A. Montenari (Eds.) New Developments in Classification and Data Analysis. Heidelberg: Springer (pp. 151-158)
129: Siegrist, M., Keller., C., & Kiers, H.A.L. (2005) A new look at the psychometric paradigm of perception of hazards. Risk Analysis, 25, 211-222.
130: Kiers, H.A.L. (2005). Bootstrap Confidence Intervals for Three-way Component Methods. In: C. Weihs & W. Gaul (Eds.) Classification – The Ubiquitous Challenge, Heidelberg: Springer (pp. 73-84).
131: Kiers, H.A.L., Vicari, D., & Vichi, M. (2005) Simultaneous Classification and Multidimensional Scaling with External Information. Psychometrika, 70, 433-460.
132: Ten Berge, J.M.F., & Kiers, H.A.L. (2005) A comparison of two methods for fitting the INDCLUS model. Journal of Classification, 22, 273-285.
133: Van de Velden, M. & Kiers, H.A.L. (2005) Rotation in Correspondence Analysis. Journal of Classification, 22, 251-271.
134: Ceulemans, E. & Kiers, H.A.L. (2006) Selecting among three-way principal component models of different types and complexities: A numerical convex hull based method. British Journal of Mathematical and Statistical Psychology, 59, 133-150.
135: Kiers, H.A.L. (2006) Properties of and algorithms for fitting three-way component models with offset terms. Psychometrika, 71, 231-256.
136: Siegrist, M., Keller,
C., & Kiers, H.A.L. (2006) Lay people’s perception of food hazards:
Comparing aggregated data and individual data. Appetite, 47, 324-332.
137: Kiers, H.A.L. & Groenen, P.J.F. (2006) Visualizing Dependence of Bootstrap Confidence Intervals for Methods Yielding Spatial Configurations. In S. Zani, A. Cerioli, M. Riani, & M. Vichi (Eds.) Data Analysis, Classification and the Forward Search. Berlin: Springer, 119-126.
138: Coppi, R, Gil, M.A., Kiers, H.A.L. (2006) The fuzzy approach to statistical analysis. Statistics and Data Analysis, 51, 1-14.
139: Giordani, P. & Kiers, H.A.L. (2006) A Comparison of Three Methods for Principal Component Analysis of Fuzzy Interval Data, Computational Statistics and Data Analysis, 51, 379-397.
140: Coppi, R, Gil, M.A., Kiers, H.A.L. (2006) The fuzzy approach to Statistical Analysis [special issue] Statistics and Data Analysis, 51, 1.
141: Hanafi, M., & Kiers, H.A.L. (2006) Analysis of K sets of data, with differential emphasis on agreement between and within sets. Computational Statistics and Data Analysis, 51, 1491-1508.
142: Hoekstra, R., Finch, S., Kiers, H.A.L., & Johnson, A. (2006) Probability as certainty: Dichotomous thinking and the misuse of p values. Psychonomic Bulletin & Review, 13, 1033-1037.
143. Coppi, R, Gil, M.A., Kiers, H.A.L. (2007) Review on the special issue "The Fuzzy Approach to Statistical Analysis" (Computational Statistics and Data Analysis, Volume, 51, Issue 1, pp. 1-452 (2006). Renato Coppi, Maria A. Gil and Henk A.L. Kiers, Eds.) Fuzzy Sets and Systems, 158 (19), 2203-2208.
144. Timmerman, M.E., Kiers, H.A.L., & Smilde, A.K. (2007) Estimating confidence intervals for principal component loadings: A comparison between the bootstrap and asymptotic results. British Journal of Mathematical and Statistical Psychology, 60, 295-314.
145. Giordani, P. & Kiers, H.A.L. (2007) Principal Component Analysis with Boundary Constraints. Journal of Chemometrics, 21, 547–556.
146. 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.
147. Vichi, M., Rocci, R., & Kiers, H.A.L. (2007) Simultaneous Component and Clustering models for three-way data: Within and Between Approaches. Journal of Classification, 24, 71-98.
148. Bro, R., Qannari, E.M. Kiers, H.A.L., Naes, T., & Bom, M. (2008) Multi-way Models for Sensory Profiling Data. Journal of Chemometrics, 22, 36-45.
149. Bro, R., Kjeldahl, K., Smilde, A.K., & Kiers, H.A.L. (2008) Cross-validation of component models: A critical look at current methods. Analytical and Bioanalytical Chemistry, 390, 1241-1251.
150. van Beilen, M., Portman, A.T., Kiers, H.A.L., Maguire, R.P., Kaasinen, V. Koning, M., Pruim, J., Leenders, K.L. (2008) Striatal FDOPA uptake and cognition in advanced non-demented Parkinson’s Disease: a clinical and FDOPA-PET study. Parkinsonism and related disorders, 14, 224-228.
151. Tendeiro, J.N., ten Berge, J.M.F., & Kiers, H.A.L. (2009) Simplicity transformations for three-way arrays with symmetric slices, and applications to Tucker-3 models with sparse core arrays. Linear Algebra and its Applications, 430, 924-940.
152. 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.
153. Stuive, I., Kiers, H.A.L., Timmerman, M.E., & Ten Berge, J.M.F. (2008) The empirical verification of an assignment of items to subtests: The Oblique Multiple Group Method versus the Confirmatory Common Factor Method, Educational and Psychological Measurement, 68, 923-939.
154. Ter Braak, C.J.F., Kourmpetisa, Y., Kiers, H.A.L., & Bink, M.C.A.M. (2009) Approximating a similarity matrix by a latent class model: a reappraisal of additive fuzzy clustering. Computational Statistics and Data Analysis, 53, 3183-3193.
155. Timmerman, M.E., Kiers, H.A.L., Smilde, A.K., Ceulemans, E., & Stouten, J. (2009) Bootstrap confidence intervals in multi-level simultaneous component analysis, British Journal of Mathematical and Statistical Psychology, 62, 299–318.
156. Kiers, H.A.L., & Harshman, R.A. (2009) An Efficient Algorithm for PARAFAC with Uncorrelated Mode-A Components Applied to Large IxJxK Data Sets with I>>JK , Journal of Chemometrics, 23,442-447.
157. Lorenzo-Seva, U., van de Velden, M. & Kiers, H.A.L. (2009) Oblique rotation in correspondence analysis: a step forward in the search of the simplest interpretation, British Journal of Mathematical and Statistical Psychology, 62, 583-600.
158. Ceulemans, E. & Kiers, H.A.L. (2009) Discriminating between strong and weak structures in three-mode principal component analysis. British Journal of Mathematical and Statistical Psychology, 62, 601-620.
159. Van Deun, K., Smilde, A.K., van der Werf, M.J., Kiers, H.A.L., & Van Mechelen, I. (2009) A structured overview of simultaneous component based data integration, BMC Bioinformatics, 10:246. (Open Access)
160. Van den Berg, R.A., van Mechelen, I., Wilderjans, T., Van Deun, K., Kiers, H.A.L., & Smilde, A.K. (2009) Integrating functional genomics data using maximum likelihood based simultaneous component analysis, BMC Bioinformatics, 10:340.
161. Lorenzo-Seva, U., van de Velden, M. & Kiers, H.A.L. (2009) CAR: A MATLAB Package to Compute Correspondence Analysis with Rotations, Journal of Statistical Software, 31 (8), 1-14.
162. 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.
163. Wilderjans, T., Ceulemans, E., Kiers, H.A.L., & Meers, K. (2009) The LMPCA program: A graphical user interface for fitting the Linked-Mode PARAFAC-PCA model to coupled real-valued data, Behavior Research Methods, 41, 1073-1082.
164. Oosterhof, A., Van der Vegt, G.S., Van de Vliert, E., Sanders, K., & Kiers, H.A.L. (2009). What’s the Difference? Insider Perspectives on the Importance, Content, and Meaning of Interpersonal Differences. Journal of Occupational and Organizational Psychology, 82(3), 617-637.
165. Timmerman, M.E., Ceulemans, E., Kiers, H.A.L., & Vichi, M. (2010) Factorial and reduced K-means reconsidered. Computational Statistics and Data Analysis, 54, 1858-1871.
166. 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.
167. Lorenzo-Seva, U., Timmerman, M.E., & Kiers, H.A.L. (2011) The Hull method for selecting the number of common factors. Multivariate Behavioral Research, 46, 340–364.
168. Bennani-Dosse, M., Kiers, H.A.L., Ten Berge, J.M.F., & (2011) Anisotropic generalized Procrustes analysis, Computational Statistics and Data Analysis, 55, 1961–1968.
169. Van Ginkel, J. R., & Kiers, H. A. L. (2011). Constructing bootstrap confidence intervals for principal component loadings in the presence of missing data: a multiple-imputation approach. British Journal of Mathematical and Statistical Psychology, 64, 498-515.
170: Van Deun K, Van Mechelen I, Thorrez L, Schouteden M, De Moor B, De Moor, B. , van der Werf, M.J., De Lathauwer, L., Smilde, A.K., & Kiers, H.A.L. (2012) DISCO-SCA and Properly Applied GSVD as Swinging Methods to Find Common and Distinctive Processes. PLoS ONE 7(5): e37840. doi:10.1371/journal.pone.0037840
171: Hoekstra, R., Kiers, H.A.L., Johnson, A. (2012), Are Assumptions of Well-Known Statistical Techniques Checked, and Why (Not)? Frontiers in Quantitative Psychology and Measurement, Frontiers in Quantitative Psychology and Measurement, Front. Psychology doi: 10.3389/fpsyg.2012.00137
172: Hoekstra, R., Johnson, A., Kiers, H.A.L. (2012) Confidence Intervals Make a Difference: Effects of Presentation Mode on Inferential Reasoning Educational and Psychological Measurement, 72, 1039–1052
173: Giordani, P., Kiers, H.A.L. (2012) FINDCLUS: Fuzzy INdividual Differences CLUStering, Journal of Classification 29, 170-198.
174: Josse J., Timmerman, M.E., Kiers, H.A.L. (2013) Missing values in multi-level Simultaneous component analysis. Chemometrics and Intelligent Laboratory Systems, 129, 21–32.
175: Van Ginkel, J.R., Kroonenberg, P.M., Kiers, H.A.L. (2014) Missing data in principal component analysis of questionnaire data: a comparison of methods, Journal of Statistical Computation and Simulation, 84:11, 2298-2315, DOI: 10.1080/00949655.2013.788654
176: Van Deun, K., Smilde, A.K., Thorrez, L., Kiers, H.A.L. & Van Mechelen, I (2013) Identifying common and distinctive processes underlying multiset data. Chemometrics and Intelligent Laboratory Systems, 129, 40-51.
177: Giordani, P, Kiers, H.A.L., Del Ferraro, M.A. (2014) Three-Way Component Analysis Using the R Package ThreeWay. Journal of Statistical Software, 57(7), 1-23. URL http://www.jstatsoft.org/v57/i07/.
178: Vervloet, M., Kiers, H.A.L., Van den Noortgate, W. and Ceulemans, E. (2015) PCovR: An R Package for Principal Covariates Regression, Journal of Statistical Software, 65, 8, 1-14. http://www.jstatsoft.org/v65/i08
179: 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, 156, 260-276.
180: Ceulemans, E. Wilderjans, T.F., Kiers, H.A.L., and Timmerman, M.E. (2016) MultiLevel simultaneous component analysis: A computational shortcut and software package. Behavior Research Methods, 48, 1008-1020.
181: Hofstee, W.K.B., Hendriks, J., & Kies, H.A.L. (2016) Persoonlijkheidsbeoordeling in de praktijk. De Psycholoog, 10, 54-58.
182: Kiers, H.A.L. (2016). Commentary on “KAISER, H. F. (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23, 187–200.” Psychometrika, 81,1177-1180.
183: Wilderjans, T. F., Vande Gaer, E. V., Kiers, H. A.L., Van Mechelen, I., & Ceulemans, E. (2017). Principal Covariates Clusterwise Regression (PCCR): Accounting for Multicollinearity and Population Heterogeneity in Hierarchically Organized Data. psychometrika, 82(1), 86-111.
184: de Jongh, A. Bicanic, I.A.E., Huntjens, R.J.C., Kiers, H.A.L., van der Gaag, M. & van Wijk, A.J. (2017) Response to ‘The factor structure of complex posttraumatic stress disorder in traumatized refugees ’, European Journal of Psychotraumatology, 8:1, 1307078, DOI: 10.1080/20008198.2017.1307078
In press
Kiers, H. A.L., Timmerman, M. E., & Ceulemans, E. (2017). Blockwise simple component analysis via rotation, constraints or penalties, with an application to product× attribute× panelist data. Food Quality and Preference, xx, xxx-xxx
Reports:
Van der Molen, H.T. & Kiers, H.A.L. (1991) Assessment center onderwijsmanagement (ACO) Hogeschool Interstudie. Rijksuniversiteit Groningen.
Zijlstra, W.P., Kiers, H.A.L., Mulder, L.J.M. (2007) Comparing the Student’s t and the ANOVA contrast procedure with five alternative procedures. (own website)
Smilde, A. K., Mage, I., Naes, T., Hankemeier, T., Lips, M. A., Kiers, H. A.L., Acar, E. & Bro, R. (2016). Common and distinct components in data fusion. Journal of Chemometrics. (also arXiv preprint arXiv:1607.02328).
Books:
Kiers, H.A.L. (1989) Three-way methods for the analysis of qualitative and quantitative two-way data. Leiden: DSWO Press.
Kiers, H.A.L., J.-P. Rasson, P.J.F. Groenen, & M. Schader (Eds) (2000) Data Analysis, Classification, and Related Methods. Heidelberg: Springer.
Siero, F.W., Huisman, M., & Kiers, H.A.L. (2009). Voortgezette regressie- en variantieanalyse. Houten: Bohn, Stafleu Van Loghum.