The R Student Companion

R is the amazing, free, open-access software package for scientific graphs and calculations used by scientists worldwide. The R Student Companion is a student-oriented manual describing how to use R in high school and college science and mathematics courses. Written for beginners in scientific computation, the book assumes the reader has just some

This compact, accessibly written text prepares students for their experience of community-based learning. It is designed for students to read and reflect on independently or to foster discussion in class on their motivations and dispositions toward community engagement and service learning. It prepares students to work with diverse individuals, groups, and organizations that may be outside their prior experience. Faculty can use the book as a tool to deepen the educational experience of the course and enrich community engagement. This text is a guide to what’s involved in community-engaged learning, from understanding the pervasiveness of social, economic and environmental problems, to learning about how individuals and organizations in communities work to overcome them. Students will discover through a process of reflection how service connects to personal development and the content of their courses, builds their ability to engage with people different from themselves, and develops new life skills, all in the context of working with communities to overcome systemic injustice.Critical questions woven into each chapter prompt students to reflect on ideas and perspectives about social justice, community development, and their role in fostering them.The book concludes with case studies of students who have experienced the transformative power of community-engaged learning. The stories illustrate common themes inherent in the student experience, including listening to understand, challenging stereotypes, learning the nature of their role, and seeing the world through a new lens.A special feature of this book is the embedded QR codes that provide access, as students read the text, to online resources, and original and public videos that explore particular themes or perspectives more deeply. The authors also include text directed to faculty to provide ideas about framing their community-engaged course and integrating the book.

This book expertly guides the reader through all stages involved in undertaking quantitative psychological research, from accessing the relevant literature, through designing and conducting a study, analysing and interpreting data, and finally reporting the research. This third edition includes two new chapters - on preliminary checking of data and allowing for additional variables when comparing the means of different conditions - and expands on original topics such as choosing sample sizes and how to test for mediation effects. It also contains increased coverage of tests and further detail of techniques and terms which psychologists will meet when working with those in the medical professions. As the chapters focus on choosing appropriate statistical tests and how to interpret and report them (rather than the detailed calculations, which appear in appendices), the reader is able to gain an understanding of a test without being interrupted by the need to understand the complex mathematics behind it. In addition, for the first time, the book is accompanied by an online bank of multiple choice questions. The book helps readers to: Locate reports of relevant existing research Design research while adhering to ethical principles Identify various methods which can be used to ask questions or observe behaviour Choose appropriate samples Display and analyse findings numerically and graphically to test hypotheses Report psychological research in a variety of ways. As such, the book is suitable for psychology students and professionals at all levels, and is particularly useful to those working in Health and Clinical Psychology.

This is the second revised edition of A Student's Companion to Old Irish Grammar, which originally appeared in 2013. This book, written in an intentionally informal style, aims to make Old Irish grammar more accessible to students of all backgrounds. It can serve as a stand-alone introduction or can be used in conjunction with other grammatical works, in hopes of elucidating some of the tricky concepts that makes Old Irish such a fascinating and rewarding subject for study.

An R Companion for Applied Statistics I: Basic Bivariate Techniques breaks the language of the R software down into manageable chunks in order to help students learn how to use it. R is a powerful, flexible, and free tool. However, the flexibility—which eventually becomes a great asset—can make the initial learning curve appear steep. This book introduces a few key aspects of the R tool. As readers become comfortable with these aspects, they develop a foundation from which to more thoroughly explore R and the packages available for it. This introduction does not explain every possible way to analyze data or perform a specific type of analysis. Rather, it focuses on the analyses that are traditionally included in an undergraduate statistics course and provides one or two ways to run these analyses in R. Datasets and scripts to run the examples are provided on an accompanying website. The book has been designed to be an R companion to Warner′s Applied Statistics I, Third Edition, and includes end-of-chapter instructions for replicating the examples from that book in R. However, this text can also be used as a stand-alone R guide, without reference to the Warner text.

Project-Based R Companion to Introductory Statistics is envisioned as a companion to a traditional statistics or biostatistics textbook, with each chapter covering traditional topics such as descriptive statistics, regression, and hypothesis testing. However, unlike a traditional textbook, each chapter will present its material using a complete step-by-step analysis of a real publicly available dataset, with an emphasis on the practical skills of testing assumptions, data exploration, and forming conclusions. The chapters in the main body of the book include a worked example showing the R code used at each step followed by a multi-part project for students to complete. These projects, which could serve as alternatives to traditional discrete homework problems, will illustrate how to "put the pieces together" and conduct a complete start-to-finish data analysis using the R statistical software package. At the end of the book, there are several projects that require the use of multiple statistical techniques that could be used as a take-home final exam or final project for a class. Key features of the text: Organized in chapters focusing on the same topics found in typical introductory statistics textbooks (descriptive statistics, regression, two-way tables, hypothesis testing for means and proportions, etc.) so instructors can easily pair this supplementary material with course plans Includes student projects for each chapter which can be assigned as laboratory exercises or homework assignments to supplement traditional homework Features real-world datasets from scientific publications in the fields of history, pop culture, business, medicine, and forensics for students to analyze Allows students to gain experience working through a variety of statistical analyses from start to finish The book is written at the undergraduate level to be used in an introductory statistical methods course or subject-specific research methods course such as biostatistics or research methods for psychology or business analytics. Author After a 10-year career as a research biostatistician in the Department of Ophthalmology and Visual Sciences at the University of Wisconsin-Madison, Chelsea Myers teaches statistics and biostatistics at Rollins College and Valencia College in Central Florida. She has authored or co-authored more than 30 scientific papers and presentations and is the creator of the MCAT preparation website MCATMath.com.

This volume is a guide to using the library for the purpose of conducting research, using both traditional and online resources. Students will learn to select a topic, effectively find and evaluate the best information in both print and electronic formats, and produce accurate and complete citations based on current versions of important styles guides and web resources. Each chapter includes exercises that reinforce the instruction and guidance.