## 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. |

### Contents

INTRODUCTION | 1 |

Measurement and Statistics | 9 |

Elements of Statistical Description and Estimation | 114 |

Copyright | |

23 other sections not shown

### Common terms and phrases

ability ANOVA applied approach assume attribute average correlation bias categorical centroid Chapter common factor considered construct validity content validity correct correlation matrix covariance covariance matrix criterion cross products defined denote describes deviation scores diagonal dichotomous dimensions discriminant discussed domain domain-sampling model effects equal Equation estimate example factor analysis function generalizability generalizability theory important interval item response theory judges linear combination magnitude mathematical mean measurement error methods multiple multivariate normally distributed noted number of items observed obtained scores orthogonal parameters pattern percent possible prediction predictors probability problem produce Psychological psychometric random ratio regression reliability coefficient residual rotation sampling error scale similar simply solution ẞ weights standard deviation standard error standard scores statistical stimuli subjects test scores theory tion total score trace lines true scores usually values vari variance vectors versus X₁ z scores zero