Statistics and Data Analysis for Social Science
Statistics and Data Analysis for Social Science

Author: Eric J. Krieg

Publisher: SAGE Publications

Published: 2019-07-11

Total Pages: 685

ISBN-13: 1544352689

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Statistics and Data Analysis for Social Science helps students to build a strong foundational understanding of statistics by providing clarity around when and why statistics useful. Rather than focusing on the “how to” of statistics, author Eric J. Krieg simplifies the complexity of statistical calculations by introducing only what is necessary to understanding each concept. Every chapter is written around and applied to a different social problem or issues—enabling students to broaden their imagination about the statistical “tools” that can be used to make sense of our world and, maybe, to make the world a better place.

A Biostatistics Toolbox for Data Analysis
A Biostatistics Toolbox for Data Analysis

Author: Steve Selvin

Publisher: Cambridge University Press

Published: 2015-10-20

Total Pages: 579

ISBN-13: 1316473058

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This sophisticated package of statistical methods is for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. It makes the link from statistical theory to data analysis, focusing on the methods and data types most common in public health and related fields. Like most toolboxes, the statistical tools in this book are organized into sections with similar objectives. Unlike most toolboxes, however, these tools are accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls - conveying skills, intuition, and experience. The only prerequisite is a first-year statistics course and familiarity with a computing package such as R, Stata, SPSS, or SAS. Though the book is not tied to a particular computing language, its figures and analyses were all created using R. Relevant R code, data sets, and links to public data sets are available from www.cambridge.org/9781107113084.

The Socioeconomic Effects of Public Sector Information on Digital Networks
The Socioeconomic Effects of Public Sector Information on Digital Networks

Author: National Research Council

Publisher: National Academies Press

Published: 2009-07-26

Total Pages: 104

ISBN-13: 0309139686

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While governments throughout the world have different approaches to how they make their public sector information (PSI) available and the terms under which the information may be reused, there appears to be a broad recognition of the importance of digital networks and PSI to the economy and to society. However, despite the huge investments in PSI and the even larger estimated effects, surprisingly little is known about the costs and benefits of different information policies on the information society and the knowledge economy. By understanding the strengths and weaknesses of the current assessment methods and their underlying criteria, it should be possible to improve and apply such tools to help rationalize the policies and to clarify the role of the internet in disseminating PSI. This in turn can help promote the efficiency and effectiveness of PSI investments and management, and to improve their downstream economic and social results. The workshop that is summarized in this volume was intended to review the state of the art in assessment methods and to improve the understanding of what is known and what needs to be known about the effects of PSI activities.

A Casebook for Spatial Statistical Data Analysis
A Casebook for Spatial Statistical Data Analysis

Author:

Publisher: Oxford University Press

Published: 1999

Total Pages: 525

ISBN-13: 0195109589

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This volume compiles geostatistical and spatial autoregressive data analyses involving georeferenced socioeconomic, natural resources, agricultural, pollution, and epidemiological variables. Benchmark analyses are followed by analyses of readily available data sets, emphasizing parallels between geostatistical and spatial autoregressive findings. Both SAS and SPSS code are presented for implementation purposes. This informative casebook will serve geographers, regional scientists, applied spatial statisticians, and spatial scientists from across disciplines.