| Description |
1 online resource (89 pages) : (chiefly color) illustrations |
| Series |
Cambridge elements. Elements in quantitative and computational methods for the social sciences |
|
Elements in quantitative and computational methods for social science.
|
| Contents |
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 |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from digital title page (viewed on July 19, 2022) |
| Subject |
Social surveys.
|
|
Social surveys -- Data processing
|
|
Social surveys.
|
|
Social surveys -- Data processing.
|
| Form |
Electronic book
|
| Author |
Rossiter, Erin L., author
|
| ISBN |
9781108862516 |
|
1108862519 |
|
