By Isaac I. Bejar
A e-book which summarizes a number of the fresh advances within the concept and perform of accomplishment trying out, within the mild of technological advancements, and advancements in psychometric and mental concept. It offers an advent to the 2 significant psychometric types, merchandise reaction thought and generalizability conception, and assesses their strengths for various purposes. The publication closes with a few speculations concerning the way forward for success checks for the evaluation of people, in addition to tracking of academic growth. `...the publication comprises beneficial info for either newcomers and for complicated staff who wish an outline of contemporary paintings in fulfillment testing.' -- The magazine of the yank Statistical A
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Extra info for Achievement Testing: Recent Advances (Quantitative Applications in the Social Sciences)
It should be stated that the proportion-correct and regressed estimates of individuals within a single group have a rank correlation of 1, and so it may be argued that they are interchangeable. However, if the scores are being used to select individuals above a certain score, different individuals would "pass" under the two methods of estimation. Furthermore, if individuals from different groups are being considered, then two individuals with the same observed score may not necessarily pass under the regressed-estimate approach.
This should be inadmissible to advocates of a criterion-referenced point of view. In criterion-referenced measurement, the estimate of what the individual can do should depend only on his or her performance on the test and not on the performance of the population to which an individual belongs. When several groups are under consideration, the use of regressed and Bayesian estimates can be especially troublesome in a criterion-referenced context. For instance, it is common in many instructional settings to group students by abilities without necessarily segregating them into different classrooms.
Conceptualizing and Creating the Universe of Items 9 The Traditional Approach 9 Guttman's Facet Approach 10 Linguistic-Based Approach 11 Item Forms 12 Scandura's Structural Approach 14 Summary and Evaluation 15 3. Psychometric Foundations 17 Brief Historical Background 18 Random Sampling Model 19 Estimating Universe Scores 20 Assessing the Generalizability of Scores 23 Item Analysis 27 Application to the Assessment of Groups 27 Latent Trait Model 29 Survey of Latent Trait Models 31 ICCs and Their Estimation 33 Assessment of Model Fit 37 Estimation of q and Precision of Measurement 39 Comparison of the Two Measurement Models 45 4.