Adaptive Inventories: A Practical Guide for Applied Researchers

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Jacob M. Montgomery (Washington University, St Louis) Erin L. Rossiter (University of Notre Dame, Indiana)

Adaptive Inventories

A Practical Guide for Applied Researchers

Jacob M. Montgomery (Washington University, St Louis), Erin L. Rossiter (University of Notre Dame, Indiana)

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English

Cambridge University Press
28 July 2022

Coding theory & cryptology; Research methods: general; Social research & statistics; Probability & statistics; Data mining

Series: Elements in Quantitative and Computational Methods for the Social Sciences

Summary
Details

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.

By: Jacob M. Montgomery (Washington University St Louis), Erin L. Rossiter (University of Notre Dame, Indiana)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Edition: New edition
Dimensions: Height: 228mm, Width: 152mm, Spine: 6mm
Weight: 160g
ISBN: 9781108797269
ISBN 10: 1108797261
Series: Elements in Quantitative and Computational Methods for the Social Sciences
Pages: 75
Publication Date: 28 July 2022
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active