This textbook introduces international education scholars, professionals and graduate students to quantitative research methods. It provides them with the most foundational and useful concepts in quantitative analysis, using international education themes for all examples and practice problems. Readers will have a foundation to pursue more advanced methods and analyses, whether through formal training or future individual study. The book assumes no prior knowledge of quantitative analysis and is written for individuals who are new to statistics. Practice problems are found at the end of all substantive chapters, and datasets are provided so that readers can practice the analyses that are presented. Moreover, in each chapter, different statistical approaches are illustrated with real examples from international education research. These examples provide context for each statistical method and represent a wide variety of contexts in international education research, coveringa variety of international education topics and a variety of regions of the world. From the instructor perspective, these example studies could be used as additional course reading. Moreover, supplemental material provides slides that instructors can modify and use in conjunction with the text.

Autorentext

Melissa Whatley, Ph.D., is an Assistant Professor of International and Global Education at the School for International Training's Graduate Institute. She earned her Ph.D. in Higher Education from the University of Georgia's Institute of Higher Education. Her research examines issues of access and equity in international education, especially for community colleges and study abroad. She is a recent recipient of the Josephson Award for Professional Promise in International Education from the Association of International Education Administrators. Her work has appeared in journals such as Research in Higher Education, the Journal of Higher Education, and the Journal of Studies in International Education.

Inhalt

Chapter 1: Introduction.- Chapter 2: Measures of Central Tendency.- Chapter 3: Measures of Variability.- Chapter 4: Hypothesis Testing.- Chapter 5: One-way ANOVA and the Chi-Square Test of Independence.- Chapter 6: Correlation.- Chapter 7: Factor Analysis.- Chapter 8: Ordinary Least.- Squares Regression.- Chapter 9: Other Regression Concepts.- Chapter 10: Introduction to Experimental and Quasi-Experimental Design.- Chapter 11: Conclusion: Writing About Quantitative Research.