使用R进行统计：综合方法 心理学方法论 Statistics Using R

基本信息

Format:Paperback / softback 725 pages, Worked examples or Exercises

Publisher:Cambridge University Press

Imprint:Cambridge University Press

Edition:2 Revised edition

ISBN:9781009400121

Published:7 Dec 2023

Weight:1514g

Dimensions:205 x 255 x 40 (mm)

页面参数仅供参考，具体以实物为准

书籍简介

《使用 R 进行统计》介绍了新的 R 编程方法，以及使用行为、社会和健康科学中的真实数据的应用统计。它特别关注数据管理作为数据分析的基本和关键原则的重要性。它包括一个在线 R 教程，用于学习 R 的基础知识，以及每个章节的两个 R 文件，一个是基本 R 代码，另一个是 tidyverse R 代码，用于生成该章节的所有图形、表格和分析。

这些文件旨在作为模型，供读者在进行自己的研究时进行调整和使用。额外的教学和学习辅助工具包括所有章末练习的解决方案和 PowerPoint 幻灯片，以突出每章的重要内容。这本教科书适合社会科学、应用统计学和研究方法专业的本科生和研究生。

Statistics Using R introduces the most up-to-date approaches to R programming alongside an introduction to applied statistics using real data in the behavioral, social, and health sciences. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes an online R tutorial for learning the basics of R, as well as two R files for each chapter, one in Base R code and the other in tidyverse R code, that were used to generate all figures, tables, and analyses for that chapter.

These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter. This textbook is appropriate for both undergraduate and graduate students in social sciences, applied statistics, and research methods.

作者简介

Sharon L. Weinberg 是纽约大学应用统计学和心理学教授，曾任美国纽约大学教务副教务长。多年来，她在高等教育领域教授过从入门到高级的各种本科和研究生统计学课程。她曾获得纽约大学斯坦哈特教学奖、纽约大学斯坦哈特丹尼尔格里菲斯杰出研究奖，并四次因在美国教育研究协会 (AERA) 旗舰期刊《教育研究员》编辑委员会担任提交出版手稿的审稿人而获得杰出审稿人奖。她的研究得到了联邦和私人机构的资助，包括 IES、NSF 和斯隆基金会，她还发表了多篇关于她研究的论文。她与纽约大学同事 Lisa Stulberg 共同编辑了《美国高等教育的多样性》（劳特利奇出版社，2011 年）。她还发表了许多关于方法论的说明性论文，作为书籍章节和期刊文章。

Daphna Harel 是美国纽约大学应用统计学副教授。她以创新的统计学教学方法而闻名，从入门级本科生到高级研究生。她在加拿大麦吉尔大学数学与统计学系获得学士和博士学位。她的研究得到了联邦机构和基金会的支持，例如美国国立卫生研究院、加拿大卫生研究院和斯宾塞基金会。作为一名高产的研究人员，她发表了许多同行评议的统计学文章，以及多个领域的文章。

Sarah Knapp Abramowitz 是美国德鲁大学的 John H. Evans 教授兼数学与计算机科学系主任。她拥有康奈尔大学数学学士学位和纽约大学数学教育博士学位。她是《统计与数据科学的教育杂志》的副主编，曾发表过与统计学教学相关的论文并在全国会议上发表演讲。她目前正在教授一门本科统计学课程，该课程结合了本书和翻转教学法，学生可以在课外观看教师制作的视频，并在课堂上参与以学生为中心的活动式学习。

Sharon L. Weinberg is Professor of Applied Statistics and Psychology at New York University and formerly Vice Provost for Faculty Affairs at New York University, USA. She has taught, over many years in higher education, a broad range of statistics courses at both the undergraduate and graduate level, from introductory to advanced. She is a recipient of the NYU Steinhardt Teaching Excellence Award, the NYU Steinhardt Daniel Griffiths Award for Distinguished Research, and a four-time recipient of the Outstanding Reviewer Award for her work on the Editorial Board of the Educational Researcher, American Educational Research Association's (AERA's) flagship journal, as a reviewer of manuscripts submitted for publication. Her research has been supported by grants from both federal and private agencies, including the IES, NSF, and the Sloan Foundation, and she has published numerous papers on her research. She is the co-editor with NYU colleague, Lisa Stulberg, of Diversity in American Higher Education: Toward a More Comprehensive Approach (Routledge, 2011). She has also published numerous expository papers on methodology as book chapters and journal articles.

Daphna Harel is Associate Professor of Applied Statistics at New York University, USA. She is known for her innovative pedagogical approach to the teaching of statistics, from the introductory undergraduate to the advanced graduate level. She earned her BSc and PhD from the McGill University Department of Mathematics and Statistics, Canada. Her research has been supported by federal agencies and foundations, such as the National Institutes for Health, the Canadian Institutes for Health Research, and the Spencer Foundation. As a highly productive researcher, she has published numerous peer-reviewed articles across statistics, as well as several domain areas.

Sarah Knapp Abramowitz is the John H. Evans Professor and Chair of the Department of Mathematics and Computer Science at Drew University, USA. She earned an A.B. in Mathematics from Cornell University and a Ph.D. in Mathematics Education from New York University, USA. She is an Associate Editor of the Journal of Statistics and Data Science Education and has published expository papers and presented at national conferences on topics related to the teaching of statistics. She is currently teaching an undergraduate course in statistics that uses this text along with a flipped approach, in which students watch instructor-created videos outside of class and spend class time participating in student-centered, activity-based learning.