Data Analysis for Social Science - Fundamental Methods

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ISBN : 9791193058237 / K552938358

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Data Analysis for Social Science - Fundamental Methods



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Statistics or data analysis has been a challenging subject for many students since it is based on mathematics, and there are difficult concepts related to probability. I experienced similar frustration when I was in college and graduate school. Ironically, despite such difficulties, my interest in data analysis grew and led me to my current research and teaching. Since I was a graduate student, I have taught data analysis courses for more than 15 years, and I have been trying to find a better way to teach this subject. From my teaching, I have learned a new path to teaching data analysis. This textbook is the outcome of my experience as a student and a teacher in the data analysis courses.



This book is an introductory data analysis textbook for college and graduate students who have not studied this subject before. Different from other textbooks in data analysis, it focuses on the methods that are commonly used in quantitative reports and research papers in social science. Particularly, it covers how the sample mean and the regression model can be widely applicable to the cross-sectional data for various purposes. On the other hand, this book does not cover some of the conventional empirical methods that could be well replaced by the OLS regression analysis, such as the Chi-square test, ANOVA, and ANCOVA. Also, to help students understand, this book includes practical examples and exercises.



This textbook is designed for a one-semester course. Most of the instructors would cover all chapters over 15 weeks by teaching one chapter within one to two weeks. After the course with this book, students would be able to empirically analyze various topics in social science using the sample mean and regression model.



February, 2024

Haeil Jung

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