Download Bayesian Networks in Educational Assessment by Russell G. Almond, Robert J. Mislevy, Linda S. Steinberg, PDF

By Russell G. Almond, Robert J. Mislevy, Linda S. Steinberg, Duanli Yan, David M. Williamson

Bayesian inference networks, a synthesis of data and professional platforms, have complex reasoning lower than uncertainty in medication, company, and social sciences. This leading edge quantity is the 1st accomplished remedy exploring how they are often utilized to layout and research leading edge academic assessments.
Part I develops Bayes nets’ foundations in evaluation, information, and graph thought, and works throughout the real-time updating set of rules. half II addresses parametric kinds to be used with evaluate, model-checking recommendations, and estimation with the EM set of rules and Markov chain Monte Carlo (MCMC). a different characteristic is the volume’s grounding in Evidence-Centered layout (ECD) framework for evaluation layout. This “design ahead” procedure permits designers to take complete benefit of Bayes nets’ modularity and talent to version advanced evidentiary relationships that come up from functionality in interactive, technology-rich tests resembling simulations. half III describes ECD, situates Bayes nets as an fundamental section of a principled layout approach, and illustrates the tips with an in-depth examine the BioMass venture: An interactive, standards-based, web-delivered demonstration evaluation of technology inquiry in genetics.
This booklet is either a source for pros drawn to review and complex scholars. Its transparent exposition, worked-through numerical examples, and demonstrations from actual and didactic purposes offer valuable illustrations of the way to exploit Bayes nets in academic evaluation. workouts persist with every one bankruptcy, and the web better half website presents a thesaurus, information units and challenge setups, and hyperlinks to computational assets.

Show description

Read or Download Bayesian Networks in Educational Assessment PDF

Similar mathematicsematical statistics books

Robust Statistics: Theory and Methods

Classical statistical recommendations fail to manage good with deviations from a typical distribution. strong statistical equipment take into consideration those deviations whereas estimating the parameters of parametric types, therefore expanding the accuracy of the inference. study into powerful equipment is thriving, with new tools being constructed and various functions thought of.

A step-by-step approach to using SAS for univariate & multivariate statistics

One in a chain of books co-published with SAS, this publication presents a easy creation to either the SAS procedure and uncomplicated statistical systems for researchers and scholars within the Social Sciences. This moment version, up to date to hide model nine of the SAS software program, publications readers step-by-step throughout the easy recommendations of analysis and information research, to facts enter, and directly to ANOVA (analysis of variance) and MANOVA (multivariate research of variance).

Time-series-based econometrics

Within the final decade, there were fast and massive advancements within the box of unit roots and cointegration, yet this growth has taken divergent instructions and has been subjected to feedback from outdoors the sphere. This ebook responds to these criticisms, essentially concerning cointegration to monetary theories and describing cointegrated regression as a revolution in econometric tools for macroeconomics.

Modeling Financial Time Series with S-PLUS

This booklet represents an integration of thought, equipment, and examples utilizing the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the perform of monetary econometrics. this can be the 1st ebook to teach the ability of S-PLUS for the research of time sequence info. it really is written for researchers and practitioners within the finance undefined, educational researchers in economics and finance, and complicated MBA and graduate scholars in economics and finance.

Additional resources for Bayesian Networks in Educational Assessment

Sample text

Furthermore, Bayes net can assess higher-level skills (such as science inquiry skills in Biomass) in ways that obtain evidence about lower-level skills, and partialling it out to understand what can be learned about the higher-level skills. Bayes nets provide real-time diagnosis. Because Bayes nets provide profile information quickly, they can be queried at any time in an assessment situation. In particular, an intelligent tutoring system can use Bayes nets to make decisions about when to continue assessment, when to switch to instruction and what instruction would be expected to provide the most value.

8 Item-fit indices for the mixed-number subtraction test . . . . . 9 Person-fit p-values for selected students . . . . . . . . . . . 12 Summary of the four processes . . . . . . . . . . . . . . . 469 Confusion matrix for binary proficiency and observable . . . . 1 . 1 . . . . . . . . . . . 1 . . . . . . . . . . . 483 Three-way table of two observables given proficiency variable . 484 Three-way table of two observables given marginal proficiency . 485 Calculation of expected weight of evidence .

559 Initial conditional distribution for observable 1 of Task 4 . . . 560 Summary statistics of parameter prior distributions . . . . . . 562 Observed responses . . . . . . . . . . . . . . . . . . . . 564 Summary statistics of prior and posterior population parameter distributions . . . . . . . . . . . . . . . . . . 567 Summary statistics of item parameter distributions . . . . . . 568 Prior and posterior expected proficiency levels .

Download PDF sample

Rated 4.66 of 5 – based on 21 votes