Quantitative Social Research Methods by
Quantitative Social Research Methods explores the entire spectrum of quantitative social research methods and their application, with special reference to the development sector. It provides detailed coverage of all statistical research and analysis method with an emphasis on multivariate analysis techniques, such as regression discriminant analysis, logistic regression, factor, factor, cluster, correspondence and conjoint analysis. The book is thematically arranged in two sections: the first section introduces development research techniques, explores the genesis and scope of social research, research processes and then goes on to explain univariate, bivariate and multivariate data analysis with the help of software packages such as SPSS and STATA. The second focuses on the application of social and development research methods in the development sector. It explores research method application and the issues relevant to aspects of development such as population, health and nutrition, poverty and rural development, education, water and sanitation, and environment and natural resource management.
Quantitative and Statistical Research Methods by
Quantitative and Statistical Research Methods This user-friendly textbook teaches students to understand and apply procedural steps in completing quantitative studies. It explains statistics while progressing through the steps of the hypothesis-testing process from hypothesis to results. The research problems used in the book reflect statistical applications related to interesting and important topics. In addition, the book provides a Research Analysis and Interpretation Guide to help students analyze research articles. Designed as a hands-on resource, each chapter covers a single research problem and offers directions for implementing the research method from start to finish. Readers will learn how to: Pinpoint research questions and hypotheses Identify, classify, and operationally define the study variables Choose appropriate research designs Conduct power analysis Select an appropriate statistic for the problem Use a data set Conduct data screening and analyses using SPSS Interpret the statistics Write the results related to the problem Quantitative and Statistical Research Methods allows students to immediately, independently, and successfully apply quantitative methods to their own research projects.
Basic Research Methods: An Entry to Social Science Research by
This book offers a comprehensive and well-rounded view of research as a tool for problem-solving in the wide range of the social sciences. It is built on the foundation of philosophical pragmatism, postulating that the value of knowledge and research methodologies lie in their usefulness in engaging with the real world. The book synthesizes both positivist and non-positivist methodologies. It is meant for students who are undertaking their first research course or project. The techniques, while basic in nature, are used in many masters and doctoral research studies. The book uses engaging language, real-life examples from various subject areas and follows an inductive approach. With the help of this book, from an experiential base, students should be able to build a more advanced conceptual and theoretical understanding of research through further reading and practice. This book discusses a policy-applied-pure-action model of research covering both quantitative and qualitative methods for case study, survey and experimental designs. It pays considerable attention to measurement principles and to data analysis techniques that make practical use of Microsoft Excel for analysis of both words and numbers. It includes a building block approach to writing, as well as the author's thoughts on application of research in the real world.
Quantitative methods are used to examine the relationship between variables with the primary goal being to analyze and represent that relationship mathematically through statistical analysis. This is the type of research approach most commonly used in scientific research problems. Following is a list of characteristics and advantages of using quantitative methods: