Fundamentals Of Item Response Theory

Prijzen vanaf
41,46

Uitgelicht

VERGELIJK ALLE AANBIEDERS (3)

Beschrijving

Bol By using familiar concepts from classical measurement methods and basic statistics, this book introduces the basics of item response theory (IRT) and explains the applications of IRT methods to problems in test construction, identification of potentially biased test items and test equating. Using familiar concepts from classical measurement methods and basic statistics, Hambleton and colleagues introduce the basics of item response theory (IRT) and explain the application of IRT methods to problems in test construction, identification of potentially biased test items, test equating, and computerized-adaptive testing. The book also includes a thorough discussion of alternative procedures for estimating IRT parameters, such as maximum likelihood estimation, marginal maximum likelihood estimation, and Bayesian estimation in such a way that the reader does not need any knowledge of calculus to follow these explanations. Including step-by-step numerical examples throughout, the book concludes with an exploration of new directions in IRT research and development.

Vergelijk aanbieders (3)

Shop
Prijs
Verzendkosten
Totale prijs
41,46
Gratis
41,46
Naar shop
Gratis Shipping Costs
41,46
Gratis
41,46
Naar shop
Gratis Shipping Costs
107,88
Gratis
107,88
Naar shop
Gratis Shipping Costs
Beschrijving (2)
Bol

By using familiar concepts from classical measurement methods and basic statistics, this book introduces the basics of item response theory (IRT) and explains the applications of IRT methods to problems in test construction, identification of potentially biased test items and test equating. Using familiar concepts from classical measurement methods and basic statistics, Hambleton and colleagues introduce the basics of item response theory (IRT) and explain the application of IRT methods to problems in test construction, identification of potentially biased test items, test equating, and computerized-adaptive testing. The book also includes a thorough discussion of alternative procedures for estimating IRT parameters, such as maximum likelihood estimation, marginal maximum likelihood estimation, and Bayesian estimation in such a way that the reader does not need any knowledge of calculus to follow these explanations. Including step-by-step numerical examples throughout, the book concludes with an exploration of new directions in IRT research and development.

Amazon

Pagina's: 188, Editie: Illustrated, Paperback, Sage Publications


Productspecificaties

Merk SAGE Publications
EAN
  • 9780803936478
Maat


Prijshistorie

* Prijshistorie bevat geen data van Amazon, Amazon Marketplace.

Prijzen voor het laatst bijgewerkt op:

Uitgelichte Keuze
41,46
Naar shop