Book picks similar to
Statistics for the Behavioral Sciences by Frederick J. Gravetter
psychology
textbooks
non-fiction
science
Abnormal Psychology
Gerald C. Davison - 1920
The authors invite students to search for clues, follow-up on hunches, evaluate evidence, and participate in a process of discovery as they sift through the evidence on the origins of psychopathology and the effectiveness of specific interventions. In the new edition, Davison and Neale welcome new coauthor Ann Kring (University of California, Berkeley), who brings her interest and expertise in emotion and psychopathology, as well as an emphasis on gender, ethnicity, and culture. In addition, new pedagogy and a more open layout make the book more accessible to all students.
Microbiology: An Introduction
Gerard J. Tortora - 1986
With this Ninth Edition, the Number One best-selling non-majors microbiology text extends its trusted and reliable approach with improved disease chapters that feature efficient new Disease in Focus boxes, a thoroughly revised immunity chapter (17), new options for the Microbiology Place website/CD-Rom, and a new Media Manager instructor presentation package with 30 multi-step animations.
Understanding Social Problems
Linda A. Mooney - 1996
The text progresses from a micro- to macro-level of analysis, focusing first on such problems as illness and health care, drugs and alcohol, and family problems and then broadening to the larger issues of poverty and inequality, population growth, environmental problems, and conflict around the world. The social problem in each chapter is framed in a global as well as U.S. context. In every chapter, the three major theoretical perspectives are applied to the social problem under discussion, and the consequences of the problem, as well as alternative solutions, are explored. Pedagogical features such as The Human Side and Self and Society enable students to grasp how social problems affect the lives of individuals and apply their understanding of social problems to their own lives.
Classical Mechanics
John R. Taylor - 2003
John Taylor has brought to his new book, Classical Mechanics, all of the clarity and insight that made his introduction to Error Analysis a best-selling text.
Organic Chemistry II as a Second Language
David R. Klein - 2005
It explores the critical concepts while also examining why they are relevant. The core content is presented within the framework of predicting products, proposing mechanisms, and solving synthesis problems. Readers will fine-tune the key skills involved in solving those types of problems with the help of interactive, step-by-step instructions and problems.
Microbiology: A Systems Approach
Marjorie Kelly Cowan - 2000
It has become known for its engaging writing style, instructional art program and focus on active learning. We are so excited to offer a robust learning program with student-focused learning activities, allowing the student to manage their learning while you easily manage their assessment. Detailed reports show how your assignments measure various learning objectives from the book (or input your own!), levels of Bloom's Taxonomy or other categories, and how your students are doing. The Cowan Learning program will save you time and improve your student's success in this course.
How College Affects Students: Volume 2 - A Third Decade of Research
Ernest T. Pascarella - 2005
The authors review their earlier findings and then synthesize what has been learned since 1990 about college's influences on students' learning. The book also discusses the implications of the findings for research, practice, and public policy. This authoritative and comprehensive analysis of the literature on college-impact is required reading for anyone interested in higher education practice, policy, and promise3/4faculty, administrators, researchers, policy analysts, and decision-makers at every level.
Brainstorm: The Teenage Brain from the Inside Out
Daniel J. Siegel - 2011
Between the ages of 12 and 24, the brain changes in important and often maddening ways. It's no wonder that many parents approach their child's adolescence with fear and trepidation. According to renowned neuropsychiatrist Daniel Siegel, however, if parents and teens can work together to form a deeper understanding of the brain science behind all the tumult, they will be able to turn conflict into connection and form a deeper understanding of one another. In *Brainstorm*, Siegel illuminates how brain development affects teenagers' behaviour and relationships. Drawing on important new research in the field of interpersonal neurobiology, he explores exciting ways in which understanding how the teenage brain functions can help parents make what is in fact an incredibly positive period of growth, change, and experimentation in their children's lives less lonely and distressing on both sides of the generational divide.
Human Development
Diane E. Papalia - 1978
The Eighth edition introduces a new pedagogical learning system,making the text even more valuable and easy-to-use for students. Applauded by adopters for its combination of research coverage with applications and real-life examples,the text continues to include superior coverage of cross-cultural topics and issues facing the disabled,in addition to exceptionally good coverage of health issues and applications.
They Say / I Say: The Moves That Matter in Academic Writing
Gerald Graff - 2006
In addition to explaining the basic moves, this book provides writing templates that show students explicitly how to make these moves in their own writing.
Chemistry: An Introduction to General, Organic, and Biological Chemistry
Karen C. Timberlake - 1976
Now in it's tenth edition, this text makes chemistry exciting to students by showing them why important concepts are relevant to their lives and future careers.
The Professor Is In: The Essential Guide To Turning Your Ph.D. Into a Job
Karen Kelsky - 2015
into their ideal job Each year tens of thousands of students will, after years of hard work and enormous amounts of money, earn their Ph.D. And each year only a small percentage of them will land a job that justifies and rewards their investment. For every comfortably tenured professor or well-paid former academic, there are countless underpaid and overworked adjuncts, and many more who simply give up in frustration. Those who do make it share an important asset that separates them from the pack: they have a plan. They understand exactly what they need to do to set themselves up for success. They know what really moves the needle in academic job searches, how to avoid the all-too-common mistakes that sink so many of their peers, and how to decide when to point their Ph.D. toward other, non-academic options. Karen Kelsky has made it her mission to help readers join the select few who get the most out of their Ph.D. As a former tenured professor and department head who oversaw numerous academic job searches, she knows from experience exactly what gets an academic applicant a job. And as the creator of the popular and widely respected advice site The Professor is In, she has helped countless Ph.D.’s turn themselves into stronger applicants and land their dream careers. Now, for the first time ever, Karen has poured all her best advice into a single handy guide that addresses the most important issues facing any Ph.D., including: -When, where, and what to publish -Writing a foolproof grant application -Cultivating references and crafting the perfect CV -Acing the job talk and campus interview -Avoiding the adjunct trap -Making the leap to nonacademic work, when the time is right The Professor Is In addresses all of these issues, and many more.
How to Write a Lot: A Practical Guide to Productive Academic Writing
Paul J. Silvia - 2007
Writing is hard work and can be difficult to wedge into a frenetic academic schedule.This revised and updated edition of Paul Silvia's popular guide provides practical, light-hearted advice to help academics overcome common barriers and become productive writers. Silvia's expert tips have been updated to apply to a wide variety of disciplines, and this edition has a new chapter devoted to grant and fellowship writing.
The C Programming Language
Brian W. Kernighan - 1978
It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a worldwide best-seller. This second edition brings the classic original up to date to include the ANSI standard. From the Preface: We have tried to retain the brevity of the first edition. C is not a big language, and it is not well served by a big book. We have improved the exposition of critical features, such as pointers, that are central to C programming. We have refined the original examples, and have added new examples in several chapters. For instance, the treatment of complicated declarations is augmented by programs that convert declarations into words and vice versa. As before, all examples have been tested directly from the text, which is in machine-readable form. As we said in the first preface to the first edition, C "wears well as one's experience with it grows." With a decade more experience, we still feel that way. We hope that this book will help you to learn C and use it well.
Machine Learning: A Probabilistic Perspective
Kevin P. Murphy - 2012
Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.