Finally, a textbook that makes it simple to teach and learn introductory statistics using the R software! Herschel Knapps Introductory Statistics Using R: An Easy Approach is a jargon-free guide to real-world statistics designed to concisely answer three important questions: Which statistic should I use? How do I run the analysis? How do I document the results? Practical examples presented throughout the text with exercises at the end of each chapter build proficiency through hands-on learning. The student website includes datasets, prepared R code for each statistic in the R Syntax Guide, and tutorial videos. As well as learning statistics, with this text students learn how to convert numeric results into clear, publishable documentation.
Arvustused
Finally! A truly straightforward introduction to statistics and R. Writing is approachable, clear, and concise. Students and those interested in getting started with R will find this textbook extremely useful and approachable. -- Kate Pok-Carabalona This is an essential guide for new R instructors and students aiming to proficiently grasp statistical analysis. With its clear, step-by-step approach and practical emphasis on real-world applications, this textbook empowers learners with the necessary skills to navigate statistical analysis in R with confidence. I highly recommend it! -- Selye Lee This book offers a step-by-step guide appropriate for college students new to both statistics and the statistical software R. The author magically guides us through the journey using approachable language, complemented by the activities and exercises that build on each other throughout the textbook. I know this book is the best available introductory research textbook appropriate for my students in Family and Consumer Sciences. -- Yoko Mimura I highly appreciate this amazing book. It provides a crucial understanding for students of the importance and application of statistical tools in practice. Part 1: Statistical Foundation sets the book apart, as it uniquely emphasizes the foundational reasons behind using statistical methods, something not commonly found in other texts. -- Qiwei Li An essential guide for learning statistics with R, this book offers clear explanations, practical exercises, and valuable multimedia resources, making complex concepts accessible and engaging for students of all levels. -- Nicole Farris This text serves not only as a process guide for utilizing R for statistical analyses, but it also contains a very clear presentation of research methods, and the foundational knowledge needed to understand the analyses. -- Coleen Cicale This text is a helpful tool for teaching and learning statistics with R. -- Michael Welker This is an effective, easy to use textbook that guides students not only through the fundamentals of statistics, but also how to run the analysis and interpret the outputs. -- Karen L. Robinson It is rare that a textbook presents both parametric and non-parametric approaches to basic statistics. The information presented in this textbook is accessible and adds the skill of using R to students resumes. -- Brandt A. Smith
Preface
Acknowledgements
About the Author
Part I: Statistical Foundation
Chapter 1: Research Principles
Overview Research Principles
Rationale for Statistics
Levels of Measure and Types of Variables
Control and Treatment Groups
Random Assignment
Research Question and Hypothesis Formulation
Asking and Answering Research Questions
Good Common Sense
Key Concepts
Practice Exercises
Chapter 2: Sampling
Overview Sampling
Sampling Rationale
Sampling Terminology
Representative Sample
Probability Sampling
Nonprobability Sampling
Sampling Bias
Optimal Sample Size
Good Common Sense
Key Concepts
Practice Exercises
Chapter 3: Getting Started In R
Overview R And Rstudio
Setting Up Your RStudio Cloud Account
R Syntax Guide
Loading Packages
Dataset Structure
Codebook
Uploading a Dataset to R
Data File Types
First Statistical Run
Variable References
Exporting Results
Copying Graphs
Shortcuts
Clear the Console Window
Doing Math in R
Data Order Doesnt Matter
Processing Your Own Data
Logging Off
Good Common Sense
Key Concepts
Practice Exercises
Part II: Statistical Tests
Chapter 4: Descriptive Statistics
Overview Descriptive Statistics
Descriptive Statistics in Context
Descriptive Statistics for Continuous and Categorical Variables
Descriptive Statistics: Continuous Variables (Score)
Descriptive Statistics: Categorical Variables (Hand)
Managing Data
Managing Plots
Moving Forward
Good Common Sense
Key Concepts
Practice Exercises
Chapter 5: t Test and Welch Two Sample t Test
Overview t Test
t Tests and Welch Two Sample t Tests in Context
Example
Type I and Type II Errors
Good Common Sense
Key Concepts
Practice Exercises
Chapter 6: ANOVA Tukey Test and Wilcoxon Multiple Pairwise Comparisons
Test
Overview ANOVA Test
ANOVA Tests in Context
Layered Learning
Example
Good Common Sense
Key Concepts
Practice Exercises
Chapter 7: Paired t Test and Paired Wilcoxon Test
Overview Paired t Test
Paired t Tests and Paired Wilcoxon Tests in Context
Layered Learning
Example
Good Common Sense
Key Concepts
Practice Exercises
Chapter 8: Correlation Pearson Test and Spearman Test
Overview Pearson Test
Correlation in Context
More About Correlation
Example
Correlation Versus Causation
Good Common Sense
Key Concepts
Practice Exercises
Chapter 9: Chi-Square
Overview Chi-Square Test
Chi-Square Tests in Context
Example
Good Common Sense
Key Concepts
Practice Exercises
Glossary
Index
Herschel Knapp, PhD, MSSW, has more than 30 years of experience as a health care professional in a variety of domains. In addition to his clinical work as a psychotherapist, primarily in hospital settings, he has provided project management for innovative interventions designed to improve the quality of patient care via multisite, health science implementations. He teaches masters and doctoral courses at Yeshiva University; he has also taught at the University of California, Los Angeles, University of Southern California, California State University, Los Angeles, and California State, San Bernardino. Dr. Knapp has served as the lead statistician on a longitudinal cancer research project and managed the program evaluation metrics for a multisite, nonprofit childrens center. His clinical work includes emergency/trauma therapy in hospital settings. Dr. Knapp has developed and implemented innovative telehealth systems, using videoconferencing technology to facilitate optimal health care service delivery to remote patients and to coordinate specialty consultations among health care providers, including interventions to diagnose and treat people with HIV and hepatitis, with special outreach to the homeless.
He created and implemented a nurse research mentorship program, providing research and analytic education, enabling nurses to design, implement, analyze, and publish the results of their quality improvement projects.
Dr. Knapp has published numerous articles in peer-reviewed health science journals and serves as a peer-reviewer for more than 20 science journals. He is also the author of other textbooks, including Intermediate Statistics Using SPSS (2018), Introductory Statistics Using SPSS (2nd ed., 2017), Practical Statistics for Nursing Using SPSS (2017), Therapeutic Communication: Developing Professional Skills (2nd ed., 2014), and Introduction to Social Work Practice: A Practical Workbook (2010).
Lisainfo e-raamatute kohta