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Measurement: Interdisciplinary Research & Perspective, Volume 7 Issue 1 2009

ISSN: 1536-6359 (electronic) 1536-6367 (paper)
Publication Frequency: 4 issues per year
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Editor's Introduction
On Looking Back
Mark Wilson;  Paul De Boeck; Pamela Moss
Pages 1 – 2
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Commentaries on Issue 5(4): “Idiographic Filters of Psychological Constructs,” Nesselroade, Gerstorf, Hardy & Ram
Universals and Individuals—Is This the End of the Discussion?
Alexander von Eye
Pages 3 – 7
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Invariance or Noninvariance, That is the Question
Keith F. Widaman; Kevin J. Grimm
Pages 8 – 12
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Commentary on “Idiographic Filters for Psychological Constructs”
Peter C. M. Molenaar
Pages 13 – 16
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Rejoinder
Rejoinder to Commentaries on Nesselroade, Gerstorf, Hardy, and Ram
John R. Nesselroade;  Nilam Ram;  Denis Gerstorf; Sam A. Hardy
Pages 17 – 26
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Commentary on Issue 6(1-2)
On Prototypes and Paradigm Shifts
Robert E. McGrath
Pages 27 – 29
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Commentaries on Issue 6(4): “Unique Characteristics of Diagnostic Classification Models: A Comprehensive Review of the Current State-of-the-Art,” Rupp & Templin
Diagnostic Classification Models: Are they Necessary? Commentary on Rupp and Templin (2008)
Joanna S. Gorin
Pages 30 – 33
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Diagnostic Classification Models: Thoughts and Future Directions
Robert A. Henson
Pages 34 – 36
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Evidentiary Reasoning in Diagnostic Classification Models
Roy Levy
Pages 36 – 41
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Equivalent Diagnostic Classification Models
Gunter Maris; Timo Bechger
Pages 41 – 46
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How Much can we Reliably Know About what Examinees Know?
Sandip Sinharay; Shelby J. Haberman
Pages 46 – 49
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Diagnostic Models as Partially Ordered Sets
Curtis Tatsuoka
Pages 49 – 53
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Have Cognitive Diagnostic Models Delivered Their Goods? Some Substantial and Methodological Concerns
Oliver Wilhelm; Alexander Robitzsch
Pages 53 – 57
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Diagnostic Classification Models and Multidimensional Adaptive Testing: A Commentary on Rupp and Templin
Andreas Frey; Claus H. Carstensen
Pages 58 – 61
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Diagnostic Classification Modeling: Opportunity for Identity
Gregory R. Hancock
Pages 62 – 64
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Diagnostic Classification Models: Which One Should I Use?
Hong Jiao
Pages 65 – 67
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Some Notes on the Reinvention of Latent Structure Models as Diagnostic Classification Models
Matthias von Davier
Pages 67 – 74
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