## Psychometric theory, Issue 972The classic text is Psychometric Theory. Like the previous edition, this text is designed as a comprehensive text in measurement for researchers and for use in graduate courses in psychology, education and areas of business such as management and marketing. It is intended to consider the broad measurement problems that arise in these areas and is written for a reader who needs only a basic background in statistics to comprehend the material. It also combines classical procedures that explain variance with modern inferential procedures. |

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The most fundamental book you will ever find in psychometrics. This is the gold standard, the bible of the area, a true classic. Although a bit old, you may miss some of the latest development, nevertheless, this is one of the most cited books ever.

### Contents

INTRODUCTION | 3 |

STATISTICAL FOUNDATIONS | 31 |

DETERMINISTIC MODELS FOR SCALING PEOPLE | 71 |

Copyright | |

17 other sections not shown

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### Common terms and phrases

ability alternative applied approach assume attribute average correlation bias centroid Chapter clusters coefficient common factor considered construct validity content validity correct correlation matrix covariance covariance matrix criterion cross products defined denote describe diagonal dichotomous dimensions discriminant discussed distribution domain effects eigenvalues equal Equation estimates example factor analysis factor scores function guessing Guttman scale highly important interval scale item response theory judges linear combination magnitude mathematical mean measurement error methods multiple normally distributed number of items observed obtained scores orthogonal parameters percent predictive predictors probability problem produce psychometric random ratio regression reliability residual response rotation sampling error similar simply solution square standard deviation standard error standard scores statistical stimuli structure elements subjects theory Thurstone scaling tion total score trace lines true scores usually values vari variance vectors versus weights zero