Abstract:
Social science studies have remained prominent and contributors to economic development. However, the invention of data science in the field of social science requires various methods of quantitative data analysis. This work gives a review of the book titled; Quantitative methods for the social sciences: a practical introduction with examples in SPSS and Stata by Daniel Stockemer. The determination of reviewing this book is to get insight of learning quantitative methods by practical for various statistical methods, understanding of survey research process, analysis of data and interpretation of the results. This book has nine chapters with varying deliberations in social science research, theories, and practices. Nevertheless, the book had limited discussion on introduction to qualitative methods as well as nonlinear functional forms. Noncontinuous dependent variables were also left out. This book forms a prospect for readers to gain primary knowledge on statistical analysis, political science theories. As far as social science discipline is concerned it is recommended a book to have a discussion on qualitative and quantitative research; powerful social science theories; variable meaning and variable types; probabilistic sampling techniques; non-linear functional forms and non-contionuous dependent variables. For academicians, students, and other users are recommended to continue using this book following a demand for knowledge on application for data science in social science discipline.
