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Fundamentals of Statistical Reasoning in Education 4th Edition, like the first three editions, is written largely with students of education in mind. Accordingly, Theodore Coladarci and Casey D. Cobb have drawn primarily on examples and issues found in school settings, such as those having to do with instruction, learning, motivation, and assessment. The emphasis on educational applications notwithstanding, the authors are confident that readers will find Fundamentals of Statistical Reasoning in Education 4th Edition of general relevance to other disciplines in the behavioral sciences as well. The 4th Edition of Fundamentals is still designed as a “one semester” book. The authors intentionally sidestep topics that few introductory courses cover (e.g., factorial analysis of variance, repeated measures analysis of variance, multiple regression). At the same time, effect size and confidence intervals are incorporated throughout, which today are regarded as essential to good statistical practice.
Cited by more than 300 scholars, Statistical Reasoning in the Behavioral Sciences continues to provide streamlined resources and easy-to-understand information on statistics in the behavioral sciences and related fields, including psychology, education, human resources management, and sociology. Students and professionals in the behavioral sciences will develop an understanding of statistical logic and procedures, the properties of statistical devices, and the importance of the assumptions underlying statistical tools. This revised and updated edition continues to follow the recommendations of the APA Task Force on Statistical Inference and greatly expands the information on testing hypotheses about single means. The Seventh Edition moves from a focus on the use of computers in statistics to a more precise look at statistical software. The “Point of Controversy” feature embedded throughout the text provides current discussions of exciting and hotly debated topics in the field. Readers will appreciate how the comprehensive graphs, tables, cartoons and photographs lend vibrancy to all of the material covered in the text.
This fully updated fourth edition explores the foundations of statistical reasoning, focusing on how to interpret psychological data and statistical results. This edition includes three important new features. First, the book is closely integrated with the free statistical analysis program JASP. Thus, students learn how to use JASP to help with tasks such as constructing grouped frequency distributions, making violin plots, conducting inferential statistical tests, and creating confidence intervals. Second, reflecting the growing use of Bayesian analyses in the professional literature, this edition includes a chapter with an introduction to Bayesian statistics (also using JASP). Third, the revised text incorporates adjunct questions, that is, questions that challenge the student’s understanding, after each major section. Cognitive psychology has demonstrated how adjunct questions and related techniques such as self-explanation can greatly improve comprehension. Additional key features of the book include: • A user-friendly approach, with focused attention to explaining the more difficult concepts and the logic behind them. End of chapter tables summarize the hypothesis testing procedures introduced, and exercises support information recall and application. • The consistent use of a six-step procedure for all hypothesis tests that captures the logic of statistical inference. • Multiple examples of each of the major inferential statistical tests. • Boxed media reports illustrate key concepts and their relevance to real-world issues. • A focus on power, with a separate chapter, and power analysis procedures in each chapter. With comprehensive digital resources, including large data sets integrated throughout the textbook, and files for conducting analysis in JASP, this is an essential text for undergraduate or beginning graduate statistics courses in psychology, education, and other applied social and health sciences.
The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Research in Communication Sciences and Disorders: Methods for Systematic Inquiry, Fifth Edition is a comprehensive yet accessible text meant for instructors and students of research methods in the field of communication sciences and disorders. This innovative book reflects the current emphasis on evidence-based practice in speech-language pathology and audiology. The concepts associated with evidence-based practice are integrated throughout the chapters. Rather than treating empirical research and the search for clinical evidence as separate topics, this text presents both as different applications of a process of scientific inquiry. The format of the chapters reflects the steps a researcher or clinician might complete when conducting an investigation. Included are features that guide students and assist with active learning. Each chapter has a set of updated review questions or case scenarios that can be used as homework, probe questions in class, or as a basis for group activities. In addition, the authors provide lists of supplemental readings from the research literature in the field. New to the Fifth Edition New chapter titled Research on Assessments and Diagnostic Approaches Additional visual representations for key topics Additional case examples in the chapter review questions Main objectives at the beginning of each chapter Diverse and inclusive language in relation to research Disclaimer: Please note that ancillary content such as eFlashcards and printable forms and documents may not be included as in the print version of this book.
The Oxford Handbook of Undergraduate Psychology Education is dedicated to providing comprehensive coverage of teaching, pedagogy, and professional issues in psychology. The Handbook is designed to help psychology educators at each stage of their careers, from teaching their first courses and developing their careers to serving as department or program administrators. The goal of the Handbook is to provide teachers, educators, researchers, scholars, and administrators in psychology with current, practical advice on course creation, best practices in psychology pedagogy, course content recommendations, teaching methods and classroom management strategies, advice on student advising, and administrative and professional issues, such as managing one's career, chairing the department, organizing the curriculum, and conducting assessment, among other topics. The primary audience for this Handbook is college and university-level psychology teachers (at both two and four-year institutions) at the assistant, associate, and full professor levels, as well as department chairs and other psychology program administrators, who want to improve teaching and learning within their departments. Faculty members in other social science disciplines (e.g., sociology, education, political science) will find material in the Handbook to be applicable or adaptable to their own programs and courses.
STATISTICAL METHODS FOR PSYCHOLOGY, 8E, International Edition surveys the statistical techniques commonly used in the behavioral and social sciences, particularly psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasizes conceptual understanding. This Eighth Edition continues to focus students on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment. New and expanded topics—reflecting the evolving realm of statistical methods—include effect size, meta-analysis, and treatment of missing data.