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Secondary Analysis of Survey Data

Secondary Analysis of Survey Data
Author: K. Jill Kiecolt
Publisher: SAGE
Total Pages: 92
Release: 1985
Genre: Social Science
ISBN: 9780803923027

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This volume presents strategies for locating survey data and provides a comprehensive guide to US social science data archives, describing several major data files. Although the data sets are American, the techniques are widely applicable.


SAGE Secondary Data Analysis

SAGE Secondary Data Analysis
Author: John Goodwin
Publisher: SAGE
Total Pages: 1409
Release: 2012-07-23
Genre: Reference
ISBN: 1446275949

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One central and enduring image of the social science researcher is of an individual who commits a great deal of time to collecting original, primary data from a field of enquiry. This approach is often underpinned by a sincerely held belief that key research questions can only be explored by the collection of ever new, and ever greater amounts of data, or that already existing data are insufficient for researchers to test their ideas. Yet such an approach to social science research can be problematic not least because the collection of primary data can be an expensive, time-consuming, and even wasteful approach to social enquiry. Secondary analysis can serve many purposes, as well as being a valid approach in its own right. However, despite its widespread application, secondary analysis is often undervalued or perceived to be the preserve of only those interested in the re-use of large-scale survey data. Highlighting both the theory and practice of secondary analysis and the use of secondary sources, this collection considers the nature of secondary analysis as a research tool; reflects on the definitional debates surrounding terms such as secondary analysis, data re-use and restudies; illustrates how secondary analysis is used in social science research; and finally reviews the practical, methodological and ethical aspects of secondary analysis. Volume One: Using Secondary Sources and Secondary Analysis Volume Two: Quantitative Approaches to Secondary Analysis Volume Three: Qualitative Data and Research in Secondary Analysis Volume Four: Ethical, Methodological and Practical Issues in Secondary Analysis


Secondary Data Analysis

Secondary Data Analysis
Author: Kali H. Trzesniewski
Publisher: American Psychological Association (APA)
Total Pages: 264
Release: 2011
Genre: Psychology
ISBN:

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This wide-ranging yet practical book shows how the analysis of secondary data can provide unique opportunities for advancing psychological science. --Book Jacket.


Qualitative Secondary Analysis

Qualitative Secondary Analysis
Author: Kahryn Hughes
Publisher: SAGE
Total Pages: 244
Release: 2019-12-02
Genre: Social Science
ISBN: 1526482843

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A comprehensive guide to carrying out Qualitative Secondary Analysis (QSA) that brings together expert advice and professional insight from leading researchers who have developed innovative theories and methods of QSA. Exploring crucial components of research and analysis—such as where to find resources, how to search within a resource, and working with both paper archives and non-textual data—each chapter offers insightful case studies, links to further reading and applied helpful hints and tips to help effectively apply these innovations to further the reader’s own research. A must read for Social Science students, early career researchers and researchers new to the field of QSA, this text will help readers through every aspect of a research process using QSA, from application to implications.


Secondary Data Analysis

Secondary Data Analysis
Author: Thomas P. Vartanian
Publisher: Oxford University Press
Total Pages: 225
Release: 2011
Genre: Language Arts & Disciplines
ISBN: 019538881X

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This slim volume is one of a number of excellent guides published as part of Oxford's "Pocket Guide to Social Work Research Methods" series. Compact but comprehensive, it provides a thorough introduction to one of the fastest-growing genres of research in the social work field today: secondary data analysis. After an all-too-brief summary of what constitutes this genre and a balanced analysis of its advantages and disadvantages, Vartanian (Bryn Mawr) provides guidelines for those considering the feasibility and appropriateness of using secondary data in their work. He then offers extensive summaries of 29 of the most commonly used secondary data sets. For all of the data sets, he provides a full and complete description, including key characteristics and where and how to access them. He also provides, most valuably, citations to examples of how researchers have recently used them in their empirical work. Rather redundantly, a similar package of information appears in appendixes at the end of the book. This is an admirable contribution whose only detractions are the rather random and poorly identified screenshots and other "pictures" interspersed throughout the text. Those seriously considering using secondary data analysis in their research should find this book immensely beneficial. Summing Up: Highly recommended. Graduate students and faculty/researchers. Graduate Students; Researchers/Faculty. Reviewed by J. C. Altman.


Public Health Research Methods

Public Health Research Methods
Author: Greg Guest
Publisher: SAGE
Total Pages: 833
Release: 2015
Genre: Medical
ISBN: 1452241333

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Providing a comprehensive foundation for planning, executing, and monitoring public health research of all types, this book goes beyond traditional epidemiologic research designs to cover technology-based approaches emerging in the new public health landscape.


Using Secondary Data in Educational and Social Research

Using Secondary Data in Educational and Social Research
Author: Emma Smith
Publisher: McGraw-Hill Education (UK)
Total Pages: 210
Release: 2008-09-16
Genre: Education
ISBN: 0335236936

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Secondary data is a powerful tool for providing context to an otherwise small-scale study, as well as being an efficient way of bringing together a large amount of data, particularly where access to the field may be difficult. This comprehensive guide introduces students to the use of secondary data in educational and social research, and provides a practical resource for researchers who are new to the field of secondary data analysis. The author encourages researchers to consider the potential for using secondary data both as their primary research method, but also as a useful strategy in mixed methods designs. The first part of the book explores the role of secondary data analysis in contemporary social research. It considers the arguments for and against its use and addresses its particular benefits in mixed method research designs, especially those in the political arithmetic tradition. The second part introduces worked examples which show the potential for using secondary sources to answer a varied range of research questions. It provides step-by-step guidance on how to manipulate and analyse secondary data. The inclusion of recent national and international datasets as exemplars allows students to place their research in a 'real life' context and to consider current and topical research issues.


Reworking Qualitative Data

Reworking Qualitative Data
Author: Janet Heaton
Publisher: SAGE
Total Pages: 174
Release: 2004-03-02
Genre: Social Science
ISBN: 1446229521

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What is qualitative secondary analysis? How can it be most effectively applied in social research? This timely and accomplished book offers readers a well informed, reliable guide to all aspects of qualitative secondary analysis. The book: · Defines secondary analysis · Distinguishes between quantitative and qualitative secondary analysis · Maps the main types of qualitative secondary analysis · Covers the key ethical and legal issues · Offers a practical guide to effective research · Sets the agenda for future developments in the subject Written by an experienced researcher and teacher with a background in sociology, the book is a comprehensive and invaluable introduction to this growing field of social research.


Secondary Analysis of Electronic Health Records

Secondary Analysis of Electronic Health Records
Author: MIT Critical Data
Publisher: Springer
Total Pages: 435
Release: 2016-09-09
Genre: Medical
ISBN: 3319437429

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This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.