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
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.
評分這本書延續瞭Hambleton 在Item response theory: principles and applications中深入淺齣、娓娓道來的風格，對如項目不變性、能力不變性等IRT難點問題的講述清晰易懂。作者還為每一章增加瞭習題和答案，幾乎每章都有一個或兩個生動的舉例，堪稱一本引人入勝的專業書。全書共11...
評分這本書延續瞭Hambleton 在Item response theory: principles and applications中深入淺齣、娓娓道來的風格，對如項目不變性、能力不變性等IRT難點問題的講述清晰易懂。作者還為每一章增加瞭習題和答案，幾乎每章都有一個或兩個生動的舉例，堪稱一本引人入勝的專業書。全書共11...
用戶評價
Survey knowledge of IRT
评分挺好的。平易近人，循循善誘
评分Survey knowledge of IRT
评分挺好的。平易近人，循循善誘
评分當新手讀物特彆閤適！
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