Psychometrika

1936 - 2024

Current editor(s): Irini Moustaki

From:
Springer
The Psychometric Society
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Retrospective anticipation pp. 407-420: Harry Harman
Evaluation of factor analytic research procedures by means of simulated correlation matrices pp. 421-459: Ledyard Tucker, Raymond Koopman and Robert Linn
An analysis of some conditions for representingN state Markov processes as general all or none models pp. 461-487: Theodore Steiner and James Greeno
Estimation of true score and error variance for tests under various equivalence assumptions pp. 489-507: Walter Kristof
Control charts for sequential testing pp. 509-518: H. Levitt and M. Treisman
Review pp. 519-520: John Noak
Minutes of the 1969 annual business meeting of the Psychometric Society pp. 521-523: W. Schrader

Estimating true-score distributions in psychological testing (an empirical bayes estimation problem) pp. 259-299: Frederic Lord
Best linear composites with a specified structure pp. 301-318: Bert Green
A monte carlo investigation of the statistical significance of Kruskal's nonmetric scaling procedure pp. 319-330: David Klahr
Testing significance of differences between two chi-squares pp. 331-333: Dennis Knepp and Doris Entwisle
More on least squares estimation of the transition matrix in a stationary first-order markov process from sample proportions data pp. 335-345: Timothy McGuire
Univariate selection: The effects of size of correlation, degree of skew, and degree of restriction pp. 347-361: James Brewer and John Hills
A test of the hypothesis that cronbach's alpha or kuder-richardson coefficent twenty is the same for two tests pp. 363-373: Leonard Feldt
Fitting the factor analysis model pp. 375-394: Michael Browne
Reviews pp. 395-405: Esther Diamond, William Crano, Louis Guttman and Ronald Ragsdale

Multidimensional scaling: Combining observations when individuals have different perceptual structures pp. 139-165: C. Horan
Some statistical considerations in multidimensional scaling pp. 167-182: J. Ramsay
A general approach to confirmatory maximum likelihood factor analysis pp. 183-202: K. Jöreskog
The asymptotic values of response probabilities in the Audley-Jonckheere learning model pp. 203-214: David Wolter and Robert Earl
Derivations of learning statistics from absorbing Markov chains pp. 215-232: Richard Millward
Average exponent from magnitude production pp. 233-235: Stanley Rule
On the oblique rotation of a factor matrix to a specified pattern pp. 237-248: Michael Browne and Walter Kristof
Reviews pp. 249-256: Susan Gross and John French

Phillip Justin Rulon (1900–1968) pp. 1-3: John Carroll
Negative relationships between abilities pp. 5-20: Donald Broverman and Edward Klaiber
Optimal choice of rater terms I: Theory pp. 21-32: Janet Elashoff
Optimal choice of rater teams II: Applications pp. 33-44: Janet Elashoff and Donald Spiegel
Some further inequalities and an identity in factor analysis pp. 45-49: John Darroch
Efficient estimation in image factor analysis pp. 51-75: K. Jöreskog
Some extensions of image analysis pp. 77-83: P. Bentler
Restricted ranking pp. 85-110: James Norman and H. David
A Newton-Raphson algorithm for maximum likelihood factor analysis pp. 111-123: Robert Jennrich and Stephen Robinson
Note on the relation between Kendall's tau and the Cronholm-Revusky test pp. 125-126: B. Bennett
Reviews pp. 127-138: Frank Baker, Bert Green, James Wardrop and John Horn

The error pp. 391-403: B. Winer
An asymptotic likelihood ratio test for a markov chain with bernoullian or contingent input pp. 405-422: Richard Bogartz
The influence of communality andN on the sampling distributions of factor loadings pp. 423-439: Roger Pennell
A central limit theorem for families of stochastic processes indexed by a small average step size parameter, and some applications to learning models pp. 441-449: M. Norman and Norma Graham
A semi-orthogonal dependent factor solution pp. 451-468: Olgierd Porebski
A general nonmetric technique for finding the smallest coordinate space for a configuration of points pp. 469-506: Louis Guttman
Reviews pp. 507-512: Donald Meyer, David Sears, Jason Millman and Roy Williams
Minutes of the special meeting of the Psychometric Society pp. 513-513: W. Schrader
Minutes of the 1968 annual business meeting of the Psychometric Society pp. 515-517: W. Schrader

An extension of item analysis procedures to the case of polychotomous response pp. 259-266: Frank Baker and John Gurland
A comparison of factor analytic techniques pp. 267-334: Michael Browne
Alpha-maximized factor analysis (alphamax): Its relation to alpha and canonical factor analysis pp. 335-345: P. Bentler
A note on invariance in three-mode factor analysis pp. 347-350: Bruce Bloxom
A unified treatment of the weighting problem pp. 351-381: Roderick McDonald
Symmetric limiting distributions of response probabilities pp. 383-385: G. Marliss and J. McGregor
Book Reviews pp. 387-389: Donald Campbell and George Graen

The theory of abstract partials: An introduction pp. 133-167: William Rozeboom
Comments on “markovian processes with identifiable states: General considerations and applications to all-or-none learning” pp. 169-172: James Greeno and Theodore Steiner
Identifiability and statistical properties of two-stage learning with no successes in the initial stage pp. 173-215: James Greeno
A remark on Bower's estimate for the one-element Markov learning model pp. 217-223: Paul Holland
The “idealized individual” interpretation of individual differences in multidimensional scaling pp. 225-232: Norman Cliff
A note on lower bounds for the number of common factors pp. 233-236: Michael Browne
Factorial rotation to simple structure and maximum similarity pp. 237-247: Bruce Bloxom
A note on a cognitive probability model incorporating the serial position effect pp. 249-252: James Brewer and F. King
Book reviews pp. 253-257: Stanley Rickard and Maurice Tatsuoka

Probabilistic foundations for coefficients of generalizability pp. 1-18: John Hunter
On two-sided orthogonal procrustes problems pp. 19-33: Peter Schönemann
A counterexample to two-dimensional varimax-rotation pp. 35-36: Friedrich Gebhardt
A monte carlo approach to the number of factors problem pp. 37-71: Robert Linn
A statistical model which combines features of factor analytic and analysis of variance techniques pp. 73-115: Harry Gollob
Maximum likelihood estimation of parameters of signal detection theory—A direct solution pp. 117-124: Donald Dorfman and Edward Alf
Book reviews pp. 125-132: William Moonan, Frank Kobler and Richard Doiron