Social Sciences - Psychology
Welcome to Child Growth and Development. This text is a presentation of how and why children grow, develop, and learn. We will look at how we change physically over time from conception through adolescence. We examine cognitive change, or how our ability to think and remember changes over the first 20 years or so of life. And we will look at how our emotions, psychological state, and social relationships change throughout childhood and adolescence.
Russell A. Poldrack, Stanford University
Statistical thinking is a way of understanding a complex world by describing it in relatively simple terms that nonetheless capture essential aspects of its structure, and that also provide us some idea of how uncertain we are about our knowledge. The foundations of statistical thinking come primarily from mathematics and statistics, but also from computer science, psychology, and other fields of study.
This textbook will show you how to comprehensively analyze, investigate, and address escalating problems of economic inequality, violence, substance abuse, homelessness, poverty, and racism. It will provide you with perspectives and tools to partner with community members and organizations to promote a fair and equitable allocation of resources and opportunities.
Garett C. Foster, University of Missouri-St. Louis
David Lane, Rice University
David Scott, Rice University
Mikki Hebl, Rice University
Rudy Guerra, Rice University
Dan Osherson, Rice University
Heidi Zimmer, University of Houston
We are constantly bombarded by information, and finding a way to filter that information in an objective way is crucial to surviving this onslaught with your sanity intact. This is what statistics, and logic we use in it, enables us to do. Through the lens of statistics, we learn to find the signal hidden in the noise when it is there and to know when an apparent trend or pattern is really just randomness. The study of statistics involves math and relies upon calculations of numbers. But it also relies heavily on how the numbers are chosen and how the statistics are interpreted.
Paul C. Price, California State University
Rajiv S. Jhangiani, Kwantlen Polytechnic University
This textbook is an adaptation of the Research Methods in Psychology that is available on this site in US and Canadian editions. This New Zealand edition is an adaptation to the New Zealand context. The main changes are in Chapters 1 and 3 and the spelling, grammar, and terminology are changed throughout. This textbook is adopted at the University of Waikato in our 200-level research methods in psychology class.
The NOBA Project is a growing collection of expert-authored, open-licensed modules in psychology, funded by the Diener Education Fund. From these open modules, Tori Kearns and Deborah Lee created an arranged open textbook for her introductory psychology class. This textbook was created under a Round One ALG Textbook Transformation Grant.
When you first think of personality, what comes to mind? When we refer to certain people as being “personalities,” we usually mean they are famous, people like movie stars or your favorite band. When we describe a person as having “lots of personality,” we usually mean they are outgoing and fun-loving, the kind of person we like to spend time with. But does this tell us anything about personality itself? Although we may think we have an understanding of what personality is, professional psychologists always seek to move beyond what people think they know in order to determine what is actually real or at least as close to real as we can come. In the pursuit of truly understanding personality, however, many personality theorists seem to have been focused on a particularly Western cultural approach that owes much of its history to the pioneering work of Sigmund Freud.
Danielle Navarro, University of New South Wales
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. The book discusses how to get started in R as well as giving 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.
Martha Lally, College of Lake County
Suzanne Valentine-French, College of Lake County
This textbook introduces the idea of lifespan development from a psychological perspective.