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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Page 3
... exams were eliminated in 1905 and were replaced by formal educational requirements . Paradoxically , as the Chinese were phasing out their exams , civil - service exams were being developed in Britain and the United States as a fair way ...
... exams were eliminated in 1905 and were replaced by formal educational requirements . Paradoxically , as the Chinese were phasing out their exams , civil - service exams were being developed in Britain and the United States as a fair way ...
Page 32
... exam ( X ) , in order to decide which applicants should be admitted . The first step is to obtain a random sample from the current population of students , who have taken the entrance exam and whose later grade - point averages are ...
... exam ( X ) , in order to decide which applicants should be admitted . The first step is to obtain a random sample from the current population of students , who have taken the entrance exam and whose later grade - point averages are ...
Page 100
... examination . Exam scores , X , and grade - point averages , Y , are obtained for everyone in the sample . As described in Section 2.9 , the best linear least - squares prediction of Y for the ith person is Ŷ1 = rxY ( SY ) ( X , -X ) + ...
... examination . Exam scores , X , and grade - point averages , Y , are obtained for everyone in the sample . As described in Section 2.9 , the best linear least - squares prediction of Y for the ith person is Ŷ1 = rxY ( SY ) ( X , -X ) + ...
Contents
Introduction | 1 |
Classical TrueScore Theory | 56 |
Reliability | 72 |
Copyright | |
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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 error of measurement error scores error variance exam examinee's examinees example expected factor analysis Figure formula scores frequency distribution 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 p₁ parallel tests phi coefficient point-biserial correlation population prediction probability procedures produce Rasch's ratio raw scores regression line relationship sample scale values Section selection Spearman-Brown formula standard deviation standard error standardized scores statistical Table test developer test reliability test user test's total test scores trait value transformation true scores true-score variance validity coefficient variable X₁ Y₁ στ