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Cutting-edge computational tools like artificial intelligence, data scraping, and online experiments are leading to new discoveries about the human mind. However, these new methods can be intimidating. This textbook demonstrates how Big Data is transforming the field of psychology, in an approachable and engaging way that is geared toward undergraduate students without any computational training. Each chapter covers a hot topic, such as social networks, smart devices, mobile apps, and computational linguistics. Students are introduced to the types of Big Data one can collect, the methods for analyzing such data, and the psychological theories we can address. Each chapter also includes discussion of real-world applications and ethical issues. Supplementary resources include an instructor manual with assignment questions and sample answers, figures and tables, and varied resources for students such as interactive class exercises, experiment demos, articles, and tools.
Cutting-edge computational tools like artificial intelligence, data scraping, and online experiments are leading to new discoveries about the human mind. However, these new methods can be intimidating. This textbook demonstrates how Big Data is transforming the field of psychology, in an approachable and engaging way that is geared toward undergraduate students without any computational training. Each chapter covers a hot topic, such as social networks, smart devices, mobile apps, and computational linguistics. Students are introduced to the types of Big Data one can collect, the methods for analyzing such data, and the psychological theories we can address. Each chapter also includes discussion of real-world applications and ethical issues. Supplementary resources include an instructor manual with assignment questions and sample answers, figures and tables, and varied resources for students such as interactive class exercises, experiment demos, articles, and tools.
Designed for graduate students, instructors, and seasoned researchers, this is an essential guide for robust research design and methodology in applied linguistics, covering qualitative, quantitative, and mixed methods research. It adopts a structured approach, starting with the foundational principles of research design, methodology, and data collection and analysis, to writing and interpreting, explaining, and reporting research results, bringing together all the steps and processes of research from start to finish in one single volume in a way that is practical, easy to follow, and easy to understand. Throughout, the emphasis is on the process of research and the application of various research techniques and principles across different areas. These characteristics, coupled with numerous pedagogical features such as key term reviews, visuals, research scenarios, and many discussion and activity questions, make the book an indispensable reference and a valuable textbook for courses in second language and applied linguistics research.
Designed for graduate students, instructors, and seasoned researchers, this is an essential guide for robust research design and methodology in applied linguistics, covering qualitative, quantitative, and mixed methods research. It adopts a structured approach, starting with the foundational principles of research design, methodology, and data collection and analysis, to writing and interpreting, explaining, and reporting research results, bringing together all the steps and processes of research from start to finish in one single volume in a way that is practical, easy to follow, and easy to understand. Throughout, the emphasis is on the process of research and the application of various research techniques and principles across different areas. These characteristics, coupled with numerous pedagogical features such as key term reviews, visuals, research scenarios, and many discussion and activity questions, make the book an indispensable reference and a valuable textbook for courses in second language and applied linguistics research.