Onderzoek

 

Main research topics

1. Multilinear algebra applied to the analysis of three-way data arrays.

2. Component and factor analysis, rotations, and multiway generalizations.

3. Reliability of composite tests.

 

Journal papers (English)

Ten Berge, J.M.F. (1972). Difficulty factors, distribution effects, and the least-squares simplex data matrix solution. Educational and Psychological Measurement, 32, 911-920.

Ten Berge, J.M.F. (1973). Note on the coefficient of invariance in comparing factor structures. Educational and Psychological Measurement, 33, 811-813.

Ten Berge, J.M.F. (1977). Orthogonal Procrustes rotation for two or more matrices. Psychometrika, 42, 267-276.

Ten Berge, J.M.F. (1977), & Nevels, K. (1977). A general solution for Mosier's oblique Procrustes problem. Psychometrika, 42, 593-600.

Ten Berge, J.M.F., & Zegers, F.E. (1978). A series of lower bounds to the reliability of a test. Psychometrika, 43, 575-579.

Ten Berge, J.M.F. (1979). A comparison of factor matching techniques. Methoden en Data Nieuwsbrief, 4, 83.

Ten Berge, J.M.F. (1979). On the equivalence of two congruence rotation methods and orthogonal approximations. Psychometrika , 44, 359-363.

Ten Berge, J.M.F., Snijders, T.A.B., & F.E. Zegers (1981). Computational aspects of the greatest lower bound to reliability and minimum trace factor analysis. Psychometrika, 46, 201-213.

Zegers, F.E., & Ten Berge, J.M.F. (1982). Necessary and sufficient conditions for parallelism of tests in classical test theory. Tijdschrift voor Onderwijsreseach, 7, 76-79.

Ten Berge, J.M.F. (1983). On Green's best linear composites with a specified structure, and oblique estimates of factor scores. Psychometrika, 48, 371-375.

Ten Berge, J.M.F. (1983). A generalization of Kristof's theorem on the trace of certain matrix products. Psychometrika, 48, 519-523

Ten Berge, J.M.F. (1983). A generalization of Verhelst's solution for a constrained regression problem in ALSCAL and related MDS-algorithms. Psychometrika, 48, 631-638.

Zegers, F.E. & Ten Berge, J.M.F. (1983). Association measures for metric scales. Kwantitatieve Methoden, 2 , 52-65.

Zegers, F.E., & Ten Berge, J.M.F. (1983). A fast and simple computational method of Minimum Residual Factor Analysis. Multivariate Behavioral Research, 18, 331-340.

Ten Berge, J.M.F. (1984). A joint treatment of Varimax rotation and the problem of diagonalizing symmetric matrices simultaneously in the least squares sense. Psychometrika, 49, 347-358.

Ramsay, J.O., Ten Berge, J.M.F., & Styan, G.P.H. (1984). Matrix correlation. Psychometrika, 49, 403-423.

Ten Berge, J.M.F., & D.L.Knol (1984). Orthogonal rotations to maximal agreement for two or more matrices of different column orders. Psychometrika, 49, 49-55.

Ten Berge, J.M.F. (1985). On the relationship between Fortiers's simultaneous linear prediction and Van den Wollenberg's redundancy analysis. Psychometrika, 50, 121-122.

Zegers, F.E., & Ten Berge, J.M.F. (1985). A family of association coefficients for metric scales. Psychometrika, 50, 17-24.

Ten Berge, J.M.F., & Knol, D.L. (1985). Scale construction on the basis of components analysis: A comparison of three strategies. Multivariate Behavioral Research, 20, 45-55.

Ten Berge, J.M.F. (1986). Some relationships between descriptive comparisons of components from different studies. Multivariate Behavioral Research, 21, 29-40.

Ten Berge, J.M.F. (1986). Rotation to perfect congruence and the cross-validation of component weights across populations. Multivariate Behavioral Research, 21, 41-64 & 262-266.

Zegers, F.E., & Ten Berge , J.M.F.(1986). Correlation coefficients for more than one scale type: An alternative to the Janson & Vegelius approach. Psychometrika , 51, 549-557.

Ten Berge, J.M.F., De Leeuw, J., & Kroonenberg, P.M. (1987). Some additional results on principal components analysis of three-mode data by means of alternating least squares algorithms. Psychometrika, 52, 183-191.

Kroonenberg, P.M., & Ten Berge, J.M.F.(1987). Cross-validation of the WISC-R factorial structure using three-mode principal components analysis and perfect congruence analysis. Applied Psychological Measurement, 11, 195-210.

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, 3, 207-217.

Ten Berge, J.M.F. (1988). Generalized approaches to the Maxbet problem and the Maxdiff problem, with applications to canonical corrrelations. Psychometrika , 53, 487-494.

Ten Berge, J.M.F., Kiers, H.A.L., & De Leeuw, J. (1988). Explicit Candecomp/Parafac solutions for a contrived 2x2x2 array of rank three. Psychometrika, 53, 579-584.

Kroonenberg, P.M., & Ten Berge, J.M.F. (1989). Three-mode principal component analysis and perfect congruence analysis for sets of covariance matrices. British Journal of Mathematical and Statistical Psychology, 42, 63-80.

Knol, D.L., & Ten Berge, J.M.F. (1989). Least-squares approximation of an improper correlation matrix by a proper one. Psychometrika, 54, 53-61.

Ten Berge, J.M.F. (1989). Correction of an Orthogonal Procrustes Rotation Procedure described by Guilford and Hoepfner. Applied Psychological Measurement, 13, 105-106.

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 principal component analysis. Computational Statistics Quarterly, 2, 81-87.

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 and Jones Minres procedure of factor analysis. Psychometrika , 54, 333-337.

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.

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.

Kroonenberg, P.M., & Ten Berge, J.M.F. (1989). Three-model principal component analysis and perfect congruence analysis for sets of covariance matrices. British Journal of Mathematical and Statistical Psychology, 42, 63-80.

Kiers, H.A.L., & Ten Berge, J.M.F. (1989). Optimality conditions for the trace of certain matrix products. Linear Algebra & Applications, 126, 125-134.

Ten Berge, J.M.F., & Zegers, F.E. (1990). Convergence properties of certain Minres algorithms. Multivariate Behavioral Research, 25 , 421-425.

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.

Ten Berge, J.M.F. (1991). A general solution for a class of weakly constrained linear regression problems. Psychometrika, 56, 601-609.

Ten Berge, J.M.F. (1991). Kruskal's polynomial for 2x2x2 arrays and a generalization to 2xnxn arrays. Psychometrika , 56, 631-636.

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.

Ten Berge, J.M.F., & Kiers, H.A.L. (1991). Some clarifications of the Candecomp algorithm applied to Indscal. Psychometrika , 56, 317-326.

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.

Kiers, H.A.L., Kroonenberg, P.M., & Ten Berge, J.M.F. (1992). An efficient algorithm for TUCKALS3 on data with large numbers of observation units. Psychometrika, 57, 415-422.

Krijnen, W.P., & Ten Berge, J.M.F. (1992). A constrained PARAFAC method for positive manifold data. Applied Psychological Measurement 16 , 295-305.

Ten Berge, J.M.F, Kiers, H.A.L., & Van der Stel, V. (1992). Simultaneous components analysis. Statistica Applicata, 4, 377-392.

Ten Berge, J.M.F., & Bekker, P.A. (1993). The isotropic scaling problem in Generalized Procrustes Analysis. Computational Statistics & Data Analysis 16, 201-204.

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.

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.

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.

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.

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.

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.

Kiers, H.A.L., Cleroux 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.

Rocci, R., & Ten Berge, J.M.F. (1994). A simplification of a result by Zellini on the maximal rank of symmetric three-way arrays. Psychometrika, 59, 377-380.

Steenkamp, J-B.E.M., Van Trijp, H.C.M., & Ten Berge, J.M.F. (1994). Perceptual mapping based on Idiosyncratic sets of attributes. Journal of Marketing Research, 31, 15-27.

Ten Berge, J.M.F. (1995). Suppressing permutations or rigid planar rotations: A remedy against nonoptimal Varimax rotations. Psychometrika, 60, 437-446.

Ten Berge, J.M.F. (1996). The Kaiser, Hunka & Bianchini factor similarity coefficients: A cautionary note. Multivariate Behavioral Research, 31, 1-6.

Ten Berge, J.M.F., & Kiers, H.A.L. (1996). Some uniqueness results for PARAFAC2. Psychometrika , 61, 123-132.

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.

Ten Berge, J.M.F., & Kiers, H.A.L. (1996). Optimality criteria for principal components and generalizations. British Journal of Mathematical and Statistical Psychology, 49, 335-345.

Ten Berge, J.M.F. (1996). Improved bounds for optimal intervals in weakly constrained regression problems. Psychometrika, 61, 695-696.

Krijnen, W.P., Wansbeek, T.J., & Ten Berge, J.M.F. (1996) Best linear predictors for factor scores. Communications in Statistics: Theory & Methods, 25, 3013-3025.

Ten Berge, J.M.F. (1997). The reduction of asymmetry by rank one matrices. Computational Statistics and Data Analysis, 24, 357-366.

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.

Bekker, P.A., & Ten Berge, J.M.F. (1997). Generic global identification in factor analysis. Linear Algebra & Applications, 264, 255-263.

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.

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, 255-262.

Hofstee, W.K.B, Ten Berge, J.M.F., & Hendriks, A.A.J. (1998). How to score questionnaires. Personality and Individual Differences, 25, 897-909.

Ten Berge, J.M.F. (1999). A legitimate case of component analysis of ipsative measures, and partialling the mean as an alternative to ipsatization. Multivariate Behavioral Research, 34, 89-102

Ten Berge, J.M.F., Krijnen, W.P., Wansbeek, T.J., & Shapiro, A. (1999). Some new results on correlation-preserving factor scores prediction methods. Linear Algebra & Applications, 289, 311-318.

Ten Berge, J.M.F., & Hofstee, W.K.B. (1999). Coefficients alpha and the reliability of unrotated and rotated components. Psychometrika , 64, 83-90.

Ten Berge, J.M.F., & Kiers, H.A.L. (1999). Simplicity of core arrays in three-way Principal Component Analysis and the typical rank of pxqx2 arrays. Linear Algebra & Applications, 294, 169-179.

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.

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.

Ten Berge, J.M.F., Kiers, H.A.L., Murakami, T., & Van der Heijden, M.J.R. (2000). Transforming three-way arrays to multiple orthonormality. Journal of Chemometrics, 14, 275-284.

Ten Berge, J.M.F. (2000). Clarification of Cliff and Caruso. Psychological Methods , 5, 228-229.

Shapiro, A., & Ten Berge, J.M.F. (2000). The asymptotic bias of Minimum Trace Factor Analysis, with applications to the greatest lower bound to reliability. Psychometrika, 65, 413-425.

Ten Berge, J.M.F. (2000). The typical rank of tall three-way arrays. Psychometrika, 65, 525-532.

Ten Berge, J.M.F., & Siero, F.W. (2000). The basic ideas of factor analysis. Metodologia de las Ciencias del Comportamiento, 2, 217-232.

Jiang, T., Sidiropoulos, N.D., & Ten Berge, J.M.F. (2001). Almost sure identifiability of multidimensional harmonic retrieval. IEEE Transactions of Signal Processing, 49, 1849-1859.

Bemelmans, K.J., Wolters, G., Zwinderman, K., Ten Berge, J.M.F., & Goekoop, J.G. (2002). Evidence for two processes underlying the serial position curve of single- and multi-trial free recall in a heterogeneous group of psychiatric patiensts: A confirmatory factor analysis study. Memory, 10, 151-160.

Rocci, R., & Ten Berge, J.M.F. (2002). Transforming three-way arrays to maximal simplicity. Psychometrika, 67, 351-365.

Wansbeek, T.J., & Ten Berge, J.M.F. (2002). A determinantal inequality- Solution to problem 01.2.1. Econometric Theory, 15, 904-905.

Ten Berge, J.M.F., & Sidiropoulos, N.D. (2002). On uniqueness in Candecomp/Parafac. Psychometrika, 67, 399-409.

Shapiro, A., & Ten Berge, J.M.F. (2002). Statistical inference of Minimum Rank Factor Analysis. Psychometrika, 67, 79-94.

Ten Berge, J.M.F., & Smilde, A. (2002). Non-triviality and identification of a constrained Tucker3 analysis. Journal of Chemometrics, 16, 609-612.

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.

Hanafi, M., & Ten Berge, J.M.F. (2003). Global optimality of the successive Maxbet algorithm. Psychometrika, 68, 97-104.

Ten Berge, J.M.F., Sidiropoulos, N.D., & Rocci, R. (2004). Typical rank and Indscal dimensionality for symmetric three-way arrays of order I x2x2 or Ix3x3 . Linear Algebra & Applications , 388, 363-377.

Ten Berge, J.M.F. (2004). Partial uniqueness in Candecomp/Parafac. Journal of Chemometrics, 18, 12-16.

Ten Berge, J.M.F. (2004). Simplicity and typical rank of three-way arrays, with applications to TUCKER-3 analysis with simple cores. Journal of Chemometrics , 18, 17-21

Hofstee, W.K.B., & Ten Berge, J.M.F. (2004). Personality in proportion: A bipolar proportional scale for personality assessments and its consequences for trait structure. Journal of Personality Assessment, 83, 120-127.

Hofstee, W.K.B., & Ten Berge, J.M.F. (2004). Representing assessments: Reply to McGrath and Ozer. Journal of Personality Assessment, 83, 136-140.

Ten Berge, J.M.F., & Soĉan, G. (2004). The greatest lower bound to the reliability of a test and the hypothesis of unidimensionality. Psychometrika, 69, 613-625.

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.

Hofstee, W.K.B., Barelds, D.P.H., & Ten Berge, J.M.F. (2006). Structuring assessments of psychopathology. Journal of Individual Differences, 27, 87-92.

Lafosse, R., & Ten Berge, J.M.F. (2006). A simultaneous Concor algorithm for the analysis of two partitioned matrices. Computational Statistics & Data Analysis, 50, 2529-2535.

Lorenzo-Seva, U., & Ten Berge, J.M.F. (2006). Tucker's congruence coefficient as a meaningful index of factor similarity. Methodology, 2 , 57-64.

Stegeman, A.W., & Ten Berge, J.M.F. (2006). Kruskal’s condition for uniqueness in Candecomp/Parafac when ranks and k-ranks coincide. Computational Statistics & Data Analysis, 50, 210-220.

Stegeman, A., Ten Berge, J.M.F., & De Lathauwer, L. (2006). Sufficient conditions for uniqueness in Candecomp/Parafac and Indscal with random component matrices. Psychometrika, 71, 219-229.

Ten Berge, J.M.F. (2006). The rigid orthogonal Procrustes rotation problem. Psychometrika, 71, 201-205.

Ten Berge, J.M.F., & Stegeman, A.W. (2006). Symmetry transformations for square sliced three-way arrays, with applications to their typical rank. Linear Algebra & Applications, 418, 215-224.

Polek, E., Van Oudenhoven, J.P., & Ten Berge, J.M.F. (2008). Attachment styles and demographic factors as predictors of sociocultural and psychological adjustment of Eastern European emigrants in the Netherlands. International Journal of Psychology, 43, 919-928.

Bennani-Dosse, M., & Ten Berge, J.M.F. (2008). The assumption of proportional components when Candecomp is applied to symmetric matrices in the context of Indscal. Psychometrika, 73, 303-307.

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 vs. the confirmatory factor method. Educational & Psychological Measurement, 68, 923-939.

Ten Berge, J.M.F., Stegeman, A., & Bennani-Dosse, M. (2009). The Carroll-Chang conjecture of equal Indscal components when Candecomp/Pararac gives perfect fit. Linear Algebra & Applications, 430, 818-829.

Tendeiro, J.N., Ten Berge, J.M.F., & Kiers (2009). Simplicity transformations for three-way arrays with symmetric slices, and applications to Tucker-3 models with sparse core arrays. Linear Algebra & Applications, 430, 924-940.

 

Papers in press

Comon, P. , Ten Berge, J.M.F., De Lathauwer, L., & Castaing, J. (2009). Generic and typical ranks of multiway arrays. Linear Algebra & Applications, in press.

Ten Berge, J.M.F., & Tendeiro, J.N. (2009). The link between sufficient conditions by Harshman and by Kruskal for uniqueness in Candecomp/Parafac. Journal of Chemometrics, in press.

 

Monographs

Ten Berge, J.M.F. (1977). Optimizing factorial invariance. University of Groningen (PhD thesis).

Ten Berge, J.M.F. (1993, 2005). Least squares optimization in multivariate analysis. Leiden , Neth.: DSWO Press. Retrieved from http://www.rug.nl/psy/onderzoek/onderzoeksprogrammas/ps

 

Chapters (English)

Ten Berge, J.M.F. (1986). A general solution to the Maxbet problem. In J. De Leeuw, W.J. Heiser, J. Meulman, and F. Critchley (Eds.), Multidimensional data analysis [pp. 81-87]. Leiden, Neth. :DSWO Press.

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 (I) [pp. 30-37]. Groningen, Neth.: RION.

Ten Berge, J.M.F. (1989). Convergence of Parafac preprocessing procedures and the Deming-Stephan method of iterative proportional fitting. In R. Coppi and S. Bolasco (Eds.), Multiway Data Analysis [pp. 53-63]. Amsterdam, Neth.: North-Holland.

Kiers, H.A.L., & Ten Berge, J.M.F. (1990). An orthogonal Procrustes rotation procedure for multiple correspondence analysis. In K. Momirovic and V. Mildner (Eds.), Compstat [pp. 163-168]. Heidelberg, Germany: Physica-Verlag.

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, and K.F. Widaman, (Eds.). Psychometric Methodology [pp. 22-26] .Stuttgart, Germany: Gustav Fischer Verlag.

Ten Berge, J.M.F., & Siero, F.W. (1994). Factoranalyse. In A. van Knippenberg and F.W. Siero (Red.): Multivariate analyse [pp. 53-82]. Houten, Neth.: Bohn Stafleu Van Loghum.

Ten Berge, J.M.F. (1998). Some recent developments in factor analysis and the search for proper communalities. In A. Rizzi, M. Vichi and H.H.Bock (Eds), Advances in data science and classification [pp. 325-334]. Heidelberg, Germany: Springer

Ten Berge, J.M.F. (1999). Factor similarity measures. In S. Kotz and C. Read (Eds.): The Encyclopedia of Statistical Sciences (Vol. 3) [pp. 239-240]. New York, NY: Wiley.

Ten Berge, J.M.F. (2000). Linking reliability and factor analysis. Recent developments in some classical psychometric problems. In S.E. Hampson (Ed.), Advances in personality theory, (Vol. 1) [pp. 138-156] .Hove, UK: Psychology Press.

Ten Berge, J.M.F. (2002). Simplicity transformations and typical rank of three-way arrays, with applications to TUCKER-3 analysis, Candecomp/Parafac, and Indscal. In R. Lafosse and A. Mondot (Eds.), Actes du IXeme Congres de la SFC [pp. 115-122]. Toulouse, France.

Soĉan, G., & Ten Berge, J.M.F. (2003). The determinants of the bias in Minimum Rank Factor Analysis (MRFA). In H. Yanai, A. Okada, K. Shigemasu, Y. Kano, and J.J. Meulman (Eds.), New Developments in Psychometrics [pp. 95-102]. Tokyo, Japan: Springer.

Ten Berge, J.M.F. (2004). Factor analysis, reliability, and unidimensionality. In Y. Kano and K. Adachi (Eds.), Proceedings of the Factor Analysis Centennial Symposium [pp. 55-67]. Osaka, Japan: University of Osaka.

Ten Berge, J.M.F. (2005). Tau-equivalent and congeneric measurements. In R.K. Hambleton (Ed.), Encyclopedia of Statistics in Behavioral Science IV [pp. 1991-1994]. New York, NY: Wiley.

Ten Berge, J.M.F., & Sočan, G. (2007). The set of feasible solutions for reliability and factor analysis. In S-Y. Lee (Ed.), Handbook of latent variable and related models [pp. 303-320]. Amsterdam, Neth.: Elsevier.

 

Book reviews (English)

Kiers, H.A.L., & Ten Berge, J.M.F. (1987). Review of H.G. Law, C.W. Snyder jr., J.A. Hattie, & R.P. McDonald: Research methods for multimode data analysis. Psychometrika, 52, 479-481.

Ten Berge, J.M.F. (1988). Review of B.F.J. Manly: Multivariate statistical methods. A primer. Journal of Classification, 5, 299-301.

Ten Berge, J.M.F. (1995). Review of J.C. Nunnally & I.H. Bernstein: Psychometric theory. Psychometrika, 60, 313-315.

Ten Berge, J.M.F. (1999). Review of J.D. Carroll, & P.E. Green: Mathematical tools for applied multivariate analysis. Psychometrika, 64, 99-100.

Ten Berge, J.M.F. (2005). Review of J.C. Gower, & G. B. Dijksterhuis: Procrustes problems. Psychometrika , 70, 799-801.