Designing Social Science Research
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Designing Social Science Research
This book presents different research designs, their respective purposes and merits as well as their underlying assumptions. Research designs are characterised by a certain combination of knowledge aims and strategies for data production. An adequate design is the key to carrying out a successful research project. Nevertheless, the literature on design is scarce, compared to the literature on methods. This book clarifies the basic distinction between variable-oriented designs and case designs, and proceeds to integrated, comparative and intervention-oriented designs. A step-by-step guide to the design process and the choices to make is also included. The book's clear style makes it an excellent guide for master students and PhD students doing their first research exercises, while it is also useful for more experienced researchers who want to broaden their design repertoire and keep up to recent innovations in the field of research design.
Designing Research in the Social Sciences
This innovative research design text will help you make informed choices when carrying out your research project. Covering both qualitative and quantitative approaches, and with examples drawn from a wide range of social science disciplines, the authors explain what is at stake when choosing a research design, and discuss the trade-offs that researchers have to make when considering issues such as: - causality - categories and classification - heterogeneity - interdependence - time This book will appeal to students and researchers looking for an in-depth understanding of research design issues to help them design their projects in a thoughtful and responsible way.
Social Science Research Design and Statistics
This book integrates social science research methods and the descriptions of 46 univariate, bivariate, and multivariate tests to include a description of the purpose, assumptions, example research question and hypothesis, SPSS procedure, and interpretation of SPSS output for each test. Included throughout the book are various sidebars highlighting key points, images and SPSS screenshots to assist understanding the material presented, self-test reviews at the end of each chapter, a decision tree to facilitate identification of the proper statistical test, examples of SPSS output with accompanying analysis and interpretations, links to relevant web sites, and a comprehensive glossary. Underpinning all these features is a concise, easy to understand explanation of the material.