Fr. 166.00

Understanding Longitudinal Data

Inglese · Copertina rigida

Spedizione di solito entro 1 a 3 settimane (non disponibile a breve termine)

Descrizione

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As one of the few teaching textbooks in the market about longitudinal research and data, this book provides a strong foundation in the fundamentals of longitudinal research, discussing core issues such as study design, sampling, attrition and missing data.

Sommario










Chapter 1: What is longitudinal research?
Chapter 2: Types of longitudinal study designs
Chapter 3: Understanding the sample
Chapter 4: Attrition and missing data
Chapter 5: Panel conditioning
Chapter 6: Respondent recall and reporting
Chapter 7: Question types, features and comparability
Chapter 8: Mode of data collection - verbal modes
Chapter 9: Mode of data collection - visual modes
Chapter 10: The implications of design choices for longitudinal studies
Chapter 11: Analysing longitudinal data
Chapter 12: Talking about longitudinal data


Info autore

Emily is a Principal Research Officer at the London Mayor’s Office for Policing And Crime. She designs and manages surveys of residents and victims of crime, focused on attitudes towards, and experiences of, policing in London. She obtained an MA in Longitudinal Social Research, followed by a PhD in Survey Methodology from the Institute for Social and Economic Research at the University of Essex, writing her thesis on the sources of measurement error in panel surveys. She has previously worked as a Survey Manager at the Centre for Longitudinal Studies, University College London, on the design and implementation of the British birth cohort studies housed there. Her research interests centre on issues around attitude measurement, data quality, longitudinal data collection, and the use of new technology and innovative methods for data collection.

Riassunto

As one of the few teaching textbooks in the market about longitudinal research and data, this book provides a strong foundation in the fundamentals of longitudinal research, discussing core issues such as study design, sampling, attrition and missing data.

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