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Adaptive Inventories: A Practical Guide for Applied Researchers: Elements in Quantitative and Computational Methods for the Social Sciences

Autor Jacob M. Montgomery, Erin L. Rossiter
en Limba Engleză Paperback – 27 iul 2022
The 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.
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Specificații

ISBN-13: 9781108797269
ISBN-10: 1108797261
Pagini: 75
Dimensiuni: 152 x 228 x 6 mm
Greutate: 0.15 kg
Ediția:Nouă
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria Elements in Quantitative and Computational Methods for the Social Sciences

Locul publicării:Cambridge, United Kingdom

Cuprins

1. 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 Directions

Descriere

This Element explains the statistical foundations of computerized adaptive inventories and how to use the tools provided to implement them.