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. 
What people are saying  Write a review
User ratings
5 stars 
 
4 stars 
 
3 stars 
 
2 stars 
 
1 star 

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 binomialerror model biserial calculate ceiling effect Chapter classical truescore theory confidence intervals correlation coefficient criterion scores criterionreferenced 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 itemcharacteristic curve large number latent latenttrait models latenttrait values level of measurement linear logistic model mean measurement theory method normal distribution normalogive number of items observed scores observed test scores observedscore variance obtained parallel tests percentile rank phi coefficient pointbiserial correlation population prediction probability procedures produce Rasch's ratio raw scores rawscore regression line relationship sample scale values Section selection SpearmanBrown formula standard deviation standard error standardized scores statistical test developer test reliability test user test's total test scores trait value transformation true scores truescore variance validity coefficient variable