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This book, published jointly by the Institute of Historical Research and The National Archives, updates the earlier work, 'A Clearer Sense of the Census' (1996). It now includes material relating to the recently released 1901 census returns and to the pre-1841 censuses. It includes details of the structure and geography of the census, and has comprehensive information on the houses, households, individuals and occupations that appear in the returns. There are also chapters on using the censuses, the skills required (and how you acquire them), and the various reference tools and finding aids available, online and in print. This is an invaluable guide to an important source for the history of the 19th century. 'This is an invaluable and very welcome book. It will be widely used for reference and in teaching. No-one should use the printed or manuscript records with any seriousness without having a copy' R J Morris (Edinburgh University) The author, Edward Higgs, is Reader in History at the University of Essex.

Social science research often yields conflicting results: Does juvenile delinquent rehabilitation work? Is teenage pregnancy prevention effective? In an effort to improve the value of research for shaping social policy, social scientists are increasingly employing a powerful technique called meta-analysis. By systematically pulling together findings of a particular research problem, meta-analysis allows researchers to synthesize the results of multiple studies and detect statistically significant patterns among them. Meta-Analysis for Explanation brings exemplary illustrations of research synthesis together with expert discussion of the use of meta-analytic techniques. The emphasis throughout is on the explanatory applications of meta-analysis, a quality that makes this casebook distinct from other treatments of this methodology. The book features four detailed case studies by Betsy Jane Becker, Elizabeth C. Devine, Mark W. Lipsey, and William R. Shadish, Jr. These are offered as meta-analyses that seek both to answer the descriptive questions to which research synthesis is traditionally directed in the health and social sciences, and also to explore how a more systematic method of explanation might enhance the policy yield of research reviews. To accompany these cases, a group of the field's leading scholars has written several more general chapters that discuss the history of research synthesis, the use of meta-analysis and its value for scientific explanation, and the practical issues and challenges facing researchers who want to try this new technique. As a practical resource, Meta-Analysis for Explanation guides social scientists to greater levels of sophistication in their efforts to synthesize the results of social research. "This is an important book...[it is] another step in the continuing exploration of the wider implications and powers of meta-analytic methods." —Contemporary Psychology

An edited volume that examines the data and statistics that are key to the music industry.

The music industries are fueled by statistics: sales targets, breakeven points, success ratios, royalty splits, website hits, ticket revenues, listener figures, piracy abuses, and big data. Statistics are of consequence. They influence the music that consumers get to hear, they determine the revenues of music makers, and they shape the policies of governments and legislators. Yet many of these statistics are generated by the music industries themselves, and their accuracy can be questioned. Music by Numbers sets out to explore this shadowy terrain.

This edited collection provides the first in-depth examination of the use and abuse of statistics in the music industry. Written by noted music business scholars and practitioners in the field, the book addresses five key areas in which numbers are employed: sales and awards; music industry policy; live music; music piracy; and digital solutions. The authors address these subjects from a range of perspectives: some of them test the veracity of this data and explore its tactical use by music businesses; others help to generate these numbers by developing surveys and online projects and offering candid observations.

The aim of this collection is to expose the culture and politics of data. Music industry statistics are pervasive, but despite this ubiquity they are underexplored. This book offers a corrective by providing new ways by which to learn music by numbers.