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Adaptive Inventories - A Practical Guide for Applied Researchers (Paperback) Loot Price: R617

Discovery Miles 6 170

Repayment Terms: R58 pm x 12*

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Adaptive Inventories - A Practical Guide for Applied Researchers (Paperback): Jacob M. Montgomery, Erin L. Rossiter

Adaptive Inventories - A Practical Guide for Applied Researchers (Paperback)

Jacob M. Montgomery, Erin L. Rossiter

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

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Loot Price R617 Discovery Miles 6 170 | Repayment Terms: R58 pm x 12*

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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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Series:	Elements in Quantitative and Computational Methods for the Social Sciences
Release date:	July 2022
Authors:	Jacob M. Montgomery • Erin L. Rossiter
Dimensions:	229 x 152 x 5mm (L x W x T)
Format:	Paperback - Trade
Pages:	75
ISBN-13:	978-1-108-79726-9
Categories:	Books > Reference & Interdisciplinary > Communication studies > Coding theory & cryptology Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	1-108-79726-1
Barcode:	9781108797269