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
PART | 1 |
Generalization | 8 |
DECISIONS ABOUT MEASUREMENT SCALES | 20 |
Copyright | |
20 other sections not shown
Common terms and phrases
ability applied approach assume attribute average correlation bias Chapter common factor considered construct validity content validity correct covariance criterion defined denote deviation scores diagonal dichotomous discrimination discussed domain domain-sampling model effects equal Equation estimate example factor analysis focal group generalizability generalizability theory guessing Guttman scale important interval item response theory item-total judges limit linear combination magnitude mastery learning mean measurement error methods MMPI multicategory multiple multiple-choice normally distributed number of items observed obtained scores orthogonal parameters percent prediction predictors probability problem psychometric random ratio reference group regression reliability coefficient residual response rotation sampling error scale selection simply solution speed tests square ẞ weights standard deviation standard error standard scores statistical stimuli subjects test scores theory tion total score trace lines trait true scores usually values vari variables variance x₁ z scores zero