By using familiar concepts from classical measurement methods and basic statistics, this book introduces the basics of item response theory (IRT) and explains 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 and concludes with an exploration of new directions in IRT research and development.
具體描述
讀後感
这本书延续了Hambleton 在Item response theory: principles and applications中深入浅出、娓娓道来的风格，对如项目不变性、能力不变性等IRT难点问题的讲述清晰易懂。作者还为每一章增加了习题和答案，几乎每章都有一个或两个生动的举例，堪称一本引人入胜的专业书。全书共11...
評分这本书延续了Hambleton 在Item response theory: principles and applications中深入浅出、娓娓道来的风格，对如项目不变性、能力不变性等IRT难点问题的讲述清晰易懂。作者还为每一章增加了习题和答案，几乎每章都有一个或两个生动的举例，堪称一本引人入胜的专业书。全书共11...
評分When the IRT model fits the data, the same ICC is obtained for the test item regardless of the distribution of ability in the group of examinees used to estimate the item parameters.
評分When the IRT model fits the data, the same ICC is obtained for the test item regardless of the distribution of ability in the group of examinees used to estimate the item parameters.
評分When the IRT model fits the data, the same ICC is obtained for the test item regardless of the distribution of ability in the group of examinees used to estimate the item parameters.
用戶評價
Survey knowledge of IRT
评分挺好的。平易近人，循循善誘
评分IRT入門書裏最喜歡的一本，簡潔明瞭
评分挺好的。平易近人，循循善誘
评分Survey knowledge of IRT
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