Titlebook: Bayesian Networks in Educational Assessment; Russell G. Almond,Robert J. Mislevy,David M. Willi Textbook 2015 Springer Science+Business Me

exterminate

書(shū)目名稱(chēng)Bayesian Networks in Educational Assessment影響因子(影響力)




書(shū)目名稱(chēng)Bayesian Networks in Educational Assessment影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Bayesian Networks in Educational Assessment網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Bayesian Networks in Educational Assessment網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Bayesian Networks in Educational Assessment被引頻次




書(shū)目名稱(chēng)Bayesian Networks in Educational Assessment被引頻次學(xué)科排名




書(shū)目名稱(chēng)Bayesian Networks in Educational Assessment年度引用




書(shū)目名稱(chēng)Bayesian Networks in Educational Assessment年度引用學(xué)科排名




書(shū)目名稱(chēng)Bayesian Networks in Educational Assessment讀者反饋




書(shū)目名稱(chēng)Bayesian Networks in Educational Assessment讀者反饋學(xué)科排名

馬具

IntroductionThis book explores the implications of applying Bayesian networks to educational assessment. This approach supports complex models as needed in for diagnostic testing and constructed response or interactive tasks, but it is also compatible with the models and techniques that have developed in psychometrics over the past century.

Accord

Textbook 2015l sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments..Part I develops Bayes nets’ foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm.

Antagonist

Bayesian Probability and Statistics: a Reviewal independence, which will form the basic building blocks of our models. Graphical representation of probability models. Random variables. Bayes‘ theorem as a paradigm for learning about unknown quantities.

慢慢流出

Basic Graph Theory and Graphical Modelsce of an assessment area will rarely be comfortable with mathematical notation for expressing their ideas. To work with them, the psychometrician needs a representation which is rigorous, but intuitive enough for the substantive experts to be comfortable.

鴿子

Parameters for Bayesian Network Modelss that add a layer of probabilistic noise to logical functions such as AND and OR gates, producing the kinds of link functions seen in cognitive diagnosis. Second are models that use functions from normal regression theory and item response theory (such as Samejima‘s graded response model) to model probability tables more parsimoniously.

轉(zhuǎn)換

共和國(guó)

夾死提手勢(shì)

坦白

Luca Bartocci,Damiana Lucentinie mathematical models can be refined with data. Although throughout the book there are references to cognitive processes that the probability distributions model, the full discussion of assessment design follows the discussion of the more mathematical issues.