Measurement error in longitudinal data /
Longitudinal data is essential for understanding how the world around us changes. Most theories in the social sciences and elsewhere have a focus on change, be it of individuals, of countries, of organisations, or of systems, and this is reflected in the myriad of longitudinal data that are being co...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Oxford :
Oxford University Press,
2021.
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| Edition: | First edition. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Longitudinal data is essential for understanding how the world around us changes. Most theories in the social sciences and elsewhere have a focus on change, be it of individuals, of countries, of organisations, or of systems, and this is reflected in the myriad of longitudinal data that are being collected using large panel surveys. This type of data collection has been made easier in the age of Big Data and with the rise of social media. Yet our measurements of the world are often imperfect, and longitudinal data is vulnerable to measurement errors which can lead to flawed and misleading conclusions. This book tackles the important issue of how to investigate change in the context of imperfect data. |
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| Item Description: | This edition also issued in print: 2021. |
| Physical Description: | 1 online resource (ix, 448 pages) : illustrations (some color) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780192603982 0192603981 9780191892448 0191892440 |