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Statistical Theories of Mental Test Scores (Paperback)
Loot Price: R1,817
Discovery Miles 18 170
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Statistical Theories of Mental Test Scores (Paperback)
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This is a reprint of the orginal book released in 1968. Our primary
goal in this book is to sharpen the skill, sophistication, and in-
tuition of the reader in the interpretation of mental test data,
and in the construction and use of mental tests both as instruments
of psychological theory and as tools in the practical problems of
selection, evaluation, and guidance. We seek to do this by exposing
the reader to some psychologically meaningful statistical theories
of mental test scores. Although this book is organized in terms of
test-score theories and models, the practical applications and
limitations of each model studied receive substantial emphasis, and
these discussions are presented in as nontechnical a manner as we
have found possible. Since this book catalogues a host of test
theory models and formulas, it may serve as a reference handbook.
Also, for a limited group of specialists, this book aims to provide
a more rigorous foundation for further theoretical research than
has heretofore been available.One aim of this book is to present
statements of the assumptions, together with derivations of the
implications, of a selected group of statistical models that the
authors believe to be useful as guides in the practices of test
construction and utilization. With few exceptions we have given a
complete proof for each major result presented in the book. In many
cases these proofs are simpler, more complete, and more
illuminating than those originally offered. When we have omitted
proofs or parts of proofs, we have generally provided a reference
containing the omitted argument. We have left some proofs as
exercises for the reader, but only when the general method of proof
has already been demonstrated. At times we have proved only special
cases of more generally stated theorems, when the general proof
affords no additional insight into the problem and yet is
substantially more complex mathematically.
General
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