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BukuHandbook of Statistics, Vol. 26
Bibliografi
Author: [s.n]
Topik: Psychometrics; Psychological scaling; Psychological measurement (test theory); Nonlinear classical test theory; Reliability Coefficients; Generalizability theory; Differential Item Functioning (DIF); dichotomous items; polytomous items; Multivariate hypergeometric distribution; Equating Test Scores; Electronic Essay Grading; Multidimensional Scaling (MDS); Euclidean model; Latent Class Analysis (LCA); Item Response Theory (IRT); Rasch Models (RM); Multidimensional Item Response Theory (MIRT); mixture IRT; Scoring Open Ended Questions; Nonparametric Item Response Theory (NIRT); Cognitive Psychology; Evidence-centered design; Value-Added Modeling; Bayesian psychometric; Simpson’s Paradox; Kelley’s Paradox; Lord’s Paradox; National Assessment of Educational Progress (NAEP)
Bahasa: (EN )    
Penerbit: Elsevier     Tempat Terbit: Oxford    Tahun Terbit: 2006    
Jenis: Books - E-Book
Fulltext: Handbook of Statistics Vol 26.pdf (11.12MB; 117 download)
Abstract
The volume begins with a chapter by David Thissen and Lyle Jones, which provides a general overview of Psychometrics. There are several chapters on classical test theory, a primary area in Psychometrics, as well as several chapters on item response theory, another popular area. There are chapters on factor analysis, structural equation modeling, matrix methods, multidimensional scaling, multilevel modeling, latent class analysis, electronic essay grading, and scaling models for preference data, which have found several important applications in the field. The volume includes several chapters intended to provide an in-depth look at operational testing, like those on the National Assessment of Educational Progress, and statistical procedures used in college admission testing. There are also chapters on several topics of special interest, like automatic item generation, causality, computer-adaptive testing, evidence-centered design, value-added modeling, research synthesis, scoring open-ended items, and statistical paradoxes. The last chapter “Future Challenges in Psychometrics” includes short descriptions of potential research problems by several renowned researchers and the Vice-Presidents of the Research and Development divisions of several leading testing companies; this chapter will surely provide guidance to researchers looking for challenging Psychometric problems.
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