1# Library to Find Best eBook for Read
Author : Kali H. Trzesniewski
Release : 2011
Genre : Psychology
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Secondary Data Analysis by : Kali H. Trzesniewski
Download or read book Secondary Data Analysis written by Kali H. Trzesniewski. This book was released on 2011. Available in PDF, EPUB and Kindle. Book excerpt: This wide-ranging yet practical book shows how the analysis of secondary data can provide unique opportunities for advancing psychological science. --Book Jacket.
Author : John Goodwin
Release : 2012-07-23
Genre : Reference
Kind : eBook
Book Rating : 949/5 ( reviews)
Book Synopsis SAGE Secondary Data Analysis by : John Goodwin
Download or read book SAGE Secondary Data Analysis written by John Goodwin. This book was released on 2012-07-23. Available in PDF, EPUB and Kindle. Book excerpt: 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 : John MacInnes
Release : 2016-12-05
Genre : Social Science
Kind : eBook
Book Rating : 717/5 ( reviews)
Book Synopsis An Introduction to Secondary Data Analysis with IBM SPSS Statistics by : John MacInnes
Download or read book An Introduction to Secondary Data Analysis with IBM SPSS Statistics written by John MacInnes. This book was released on 2016-12-05. Available in PDF, EPUB and Kindle. Book excerpt: 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
Release : 2019-12-02
Genre : Social Science
Kind : eBook
Book Rating : 843/5 ( reviews)
Book Synopsis Qualitative Secondary Analysis by : Kahryn Hughes
Download or read book Qualitative Secondary Analysis written by Kahryn Hughes. This book was released on 2019-12-02. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Thomas P. Vartanian
Release : 2011
Genre : Language Arts & Disciplines
Kind : eBook
Book Rating : 81X/5 ( reviews)
Book Synopsis Secondary Data Analysis by : Thomas P. Vartanian
Download or read book Secondary Data Analysis written by Thomas P. Vartanian. This book was released on 2011. Available in PDF, EPUB and Kindle. Book excerpt: 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.
