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 Methods in Educational Research by
This is a comprehensive guide to quantitative research, rooted in the author's own teaching and research. In particular, it challenges both the student who "does not do numbers" and the student who does nothing but numbers (and who therefore fails to interpret or challenge his/her results). The book shows how all educational researchers need to "do" quantitative research, even if only in the sense of reading other people's research findings. In fact, the book argues that the conventional distinction between primary and secondary research data is inadequate, since there is enormous need/opportunity for conducting research through using and reinterpreting secondary data. This leads to one of the main selling points of the book - Gorard's idea of the "idle researcher", who makes valuable contributions to the research literature by using data gathered by other researchers.
Doing Quantitative Research in Education by
This book provides an introduction to using quantitative methods in educational research. The author writes for non-mathematical students, avoiding the use of mathematical formulae wherever possible. No prior knowledge of quantitative methods is needed to use this book. The author's approach features #65533; a realistic approach, using actual databases #65533; an emphasis on the use of effect sizes #65533; a user-friendly approach, based on the latest version of SPSS throughout. The use of two real educational datasets keeps the content relevant, and shows students the imperfections and problems which they will meet in real-life research. The datasets use common international measures and access to the datasets, allowing students to practice and answer the questions that follow each chapter, is available though the book website. This book is for researchers and students studying research methods in education. It is suitable as a main textbook for quantitative methods courses, as well as a resource for researchers in this field.
Survey Research: the Basics by
Survey Research can be used as an independent guide or as a workbook to accompany Keith F Punch's bestselling Introduction to Social Research (SAGE, 1998). It represents a short, practical how-to' book on a central methodology technique aimed at the beginning researcher. The focus of this book is on small-scale quantitative surveys studying the relationships between variables. After showing the central place of the quantitative survey in social science research methodology, it then takes a simple model of the survey, describes its elements and gives a set of steps and guidelines for implementing each element. The book then shows how the simple model of the quantitative survey generalizes easily to more complex models. It includes a detailed example of both simple and complex models, which readers should find very helpful. It is directed primarily at beginning researchers - upper-level undergraduate and graduate students in any area of social science, who often have to do small scale surveys in projects and dissertations. Beyond this, it will be of interest to anybody interested in learning about survey research. It is written in non-technical language, aiming to be as accessible as possible to a wide audience.
Quantitative Research - "involves the gathering of numerical data which are often subjected to statistical analysis. Quantitative research aims to be objective in its methods, application, and analysis, and also more reliable (in that it is easier to repeat these studies and obtain similar results) than using qualitative research methods" (Crawford, 2009).