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OverviewThe goal of this Element is to provide a detailed introduction to adaptive inventories, an approach to making surveys adjust to respondents' answers dynamically. This method can help survey researchers measure important latent traits or attitudes accurately while minimizing the number of questions respondents must answer. The Element provides both a theoretical overview of the method and a suite of tools and tricks for integrating it into the normal survey process. It also provides practical advice and direction on how to calibrate, evaluate, and field adaptive batteries using example batteries that measure variety of latent traits of interest to survey researchers across the social sciences. Full Product DetailsAuthor: Jacob M. Montgomery (Washington University, St Louis) , Erin L. Rossiter (University of Notre Dame, Indiana)Publisher: Cambridge University Press Imprint: Cambridge University Press Edition: New edition Dimensions: Width: 15.20cm , Height: 0.60cm , Length: 22.80cm Weight: 0.160kg ISBN: 9781108797269ISBN 10: 1108797261 Pages: 75 Publication Date: 28 July 2022 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of Contents1. Introducing Adaptive Inventories; 2. Introduction to CAT for Binary Outcomes; 3. Exploring Your Options: Alternative CAT Algorithms; 4. CAT for Polytomous Outcomes; 5. Evaluating Adaptive Inventories; 6. Tools and Tricks for Applied Researchers; 7. Implications and Future DirectionsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |