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Author: K. Jill Kiecolt
Publisher: SAGE
ISBN: 9780803923027
Category : Social Science
Languages : en
Pages : 92
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Book Description
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.
Author: K. Jill Kiecolt
Publisher: SAGE
ISBN: 9780803923027
Category : Social Science
Languages : en
Pages : 92
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Book Description
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.
Author: John Goodwin
Publisher: SAGE
ISBN: 1446275949
Category : Reference
Languages : en
Pages : 1409
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Book Description
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
Author: Kali H. Trzesniewski
Publisher: American Psychological Association (APA)
ISBN:
Category : Psychology
Languages : en
Pages : 264
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Book Description
This wide-ranging yet practical book shows how the analysis of secondary data can provide unique opportunities for advancing psychological science. --Book Jacket.
Author: Thomas P. Vartanian
Publisher: Oxford University Press
ISBN: 019538881X
Category : Language Arts & Disciplines
Languages : en
Pages : 225
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Book Description
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.
Author: Dawn Burton
Publisher: SAGE
ISBN: 0857022180
Category : Social Science
Languages : en
Pages : 521
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Book Description
With indispensable advice for students from all social science backgrounds, this handbook provides the core conceptual and practical skills to embark on succesful research. The organization of the book reflects the knowledge that is required in order to become a competent and effective researcher. It follows the life-cycle of the research project: it begins with a discussion of ethical and philosphical issues; presents guides to both quantitative and qualitative data collection and analysis; provides help on using computers in research; and includes advice on how to write up and present a research project. Based on the UK Economic and Social Research Council advice on the training which students should undertake in preparation for postgraduate research, this book will be invaluable for all beginning researchers.
Author: John MacInnes
Publisher: SAGE
ISBN: 1473987717
Category : Social Science
Languages : en
Pages : 434
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Book Description
Many professional, high-quality surveys collect data on people′s behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and ′clean′ secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you′ll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book′s companion website give you an opportunity to practice, check your understanding and work hands on with real data as you′re learning.
Author: Kahryn Hughes
Publisher: SAGE
ISBN: 1526482843
Category : Social Science
Languages : en
Pages : 253
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Book Description
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.
Author: Greg Guest
Publisher: SAGE
ISBN: 1452241333
Category : Medical
Languages : en
Pages : 833
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Book Description
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.
Author: Angela Dale
Publisher: Unwin Hyman
ISBN: 9780043120422
Category : Social Science
Languages : en
Pages : 241
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Book Description
Author: David F. Robitaille
Publisher: Springer Science & Business Media
ISBN: 0306476428
Category : Education
Languages : en
Pages : 419
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Book Description
Researchers who participate in IEA studies have a unique opportunity to work collaboratively with their counterparts from many different countries and disciplinary backgrounds over a period of several years on questions of shared academic interest. Once the data for a given study have been collected and the first round of international reports published, however, opportunities for that kind of collaboration tend to be much less frequent. A major strength of IEA studies compared to other large-scale, international studies is that they are classroom based, thereby making it possible for researchers and policy makers to investigate linkages between students’ achievement and a wide range of variables. Those variables could be related to instructional practices, to students’ and teachers’ background and attitudes, to school organizational patterns, or to opportunity to learn, to name a few. The research questions that TIMSS was designed to address make it clear that these kinds of relational, multi-variate analyses were among the major goals of the project. The international reports of the TIMSS–95 results that were published by the International Study Center at Boston College between 1996 and 1999 were intended to provide comprehensive coverage of the basic findings of the study. They were not intended to provide in-depth analyses of research and policy issues; instead, their main purpose was to make the basic findings of the study widely available in a timely manner. This they certainly did.
