## Introduction to Measurement TheoryThis book is intended to serve as a text and reference book for people who are using or constructing psychological tests and interpreting test scores and scales. It is designed for people who understand collage algebra and who have some famuliarity with elementary statistics, for those lacking this familiarity or desiring a review. |

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#### LibraryThing Review

User Review - foreyer - LibraryThingThis was one of the books I had to read to ramp up on Psycometrics (educational exam/test analysis and statistics). I read about 6/7 chapters and read at least 2 of them 3 times. This is actually well written and easy to follow (compared to other math books). Read full review

#### Review: Introduction to Measurement Theory

User Review - Trae Brookins - GoodreadsWhat can I say? I think that I'll be reading this book yet again...but not necessarily in a good way. Seriously though, good explanations of materials that's very challenging for me. Read full review

### Contents

Introduction | 1 |

Classical TrueScore Theory | 56 |

Reliability | 72 |

Copyright | |

9 other sections not shown

### Common terms and phrases

assumptions base rate binomial-error model biserial calculate ceiling effect Chapter classical true-score theory confidence intervals correlation coefficient criterion scores criterion-referenced tests cutting score dichotomous discrimination equal intervals error of measurement error scores error variance exam examinee's examinees example factor analysis Figure formula scores frequency distribution generalizability theory grade scores homoscedasticity information function interpretation item difficulty item-characteristic curve large number latent latent-trait models latent-trait values level of measurement linear logistic model mean measurement theory method normal distribution normal-ogive number of items observed scores observed test scores observed-score variance obtained parallel tests percentile rank phi coefficient point-biserial correlation population prediction probability procedures produce Rasch's ratio raw scores raw-score regression line relationship sample scale values Section selection Spearman-Brown formula standard deviation standard error standardized scores statistical test developer test reliability test user test's total test scores trait value transformation true scores true-score variance validity coefficient variable