Paul Lambert Books

Occupational inequalities are examined through the lens of social connections, revealing how friendship patterns vary significantly between different professions. The authors highlight the impact of these social networks on structures of social inequality, illustrating that the relationships individuals maintain can shape their professional opportunities and experiences. This exploration sheds light on the intricate relationship between social ties and economic disparities.

First published Open Access under a Creative Commons license as What is Quantitative Longitudinal Data Analysis? , this title is now also available as part of the Bloomsbury Research Methods series.Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses.This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their requirements, statistical properties and their substantive contribution.

The book delves into the critical role of the Data Protection Officer (DPO) established by the EU's General Data Protection Regulation. It outlines the responsibilities of the DPO in ensuring organizational compliance with data protection laws and emphasizes the importance of effectively communicating these requirements within the organization. Additionally, it discusses the potential financial and legal repercussions of failing to adhere to data protection standards, making it essential reading for organizations navigating the complexities of data privacy.