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Linear Models for Optimal Test Design

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  • 436 stron
  • 16 godzin czytania

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The book explores significant advancements in psychometric methods over nearly four decades, focusing on criterion-referenced assessment and item response theory (IRT). It details how these developments, initiated by pioneers like Robert Glaser and Frederic Lord, shifted the focus from norm-referenced to criterion-referenced assessments, enhancing measurement practices. The author discusses the evolution of IRT to address limitations of classical test theory, emphasizing improvements in test development, equating, and adaptive testing to better evaluate candidate performance at the item level.

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Linear Models for Optimal Test Design, Wim J. van der Linden

Język
Rok wydania
2010
Oprawa
(miękka)
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Tytuł
Linear Models for Optimal Test Design
Język
angielski
Rok wydania
2010
Oprawa
miękka
Liczba stron
436
ISBN13
9781441919038
Ocena
4,5 z 5
Opis
The book explores significant advancements in psychometric methods over nearly four decades, focusing on criterion-referenced assessment and item response theory (IRT). It details how these developments, initiated by pioneers like Robert Glaser and Frederic Lord, shifted the focus from norm-referenced to criterion-referenced assessments, enhancing measurement practices. The author discusses the evolution of IRT to address limitations of classical test theory, emphasizing improvements in test development, equating, and adaptive testing to better evaluate candidate performance at the item level.