This student-oriented text presents the basics for professors who need to get through the text quickly and who therefore give priority to the essentials of applied statistics. The text aims to captures the insight and classroom lecture tactics of statistics teachers. Statistics for the Behavioral Sciences is an introduction to statistics text that will engage students in an ongoing spirit of discovery by illustrating how statistics apply to modern-day research problems.
Nolan and Heinzen offer an introduction to the basics of statistics that is uniquely suited for behavioral science students, with coverage anchor to real-world stories, a highly visual approach, helpful mathematical support, and step-by-step examples. The new edition focuses on emerging trends that are redefining contemporary behavioral statistics, while adding.
Fundamental Statistics for the Social and Behavioral Sciences, Second Edition, places statistics within the research process, illustrating how they are used to answer questions and test ideas. Students learn not only how to calculate statistics, but also how to interpret and communicate the results of statistical analyses in light of. This book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using the R software environment.
Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing efficient and elegant computer code. Unfortunately, many researchers lack this programming background, leaving them to.
Statistics for the Behavioral Sciences. Statistics for the Behavioral Sciences by Frederick J. It is motivated by the needs of a behavioral science student, or someone in clinical practice, rather than by formal, mathematical properties. The book begins with hypothesis testing and then considers how hypothesis testing is used in conjunction with statistical designs and tests to answer research questions. In addition, this book treats analysis of variance as another application of multiple regression.
With this integrated, unified approach, students simultaneously learn about multiple regression and how to analyze data associated with basic analysis of variance and covariance designs. Students confront fewer topics but those they do encounter possess considerable more power, generality, and practical importance.
This integrated approach helps to simplify topics that often cause confusion. These exercises also provide an opportunity to explore definitional formulas by altering raw data or terms within a formula and immediately see the consequences thus providin. Written by one of the most recognizable names in the discipline, Basic Statistic for the Behavioral Sciences discusses statistics in the context of educational and psychological research, making a typically abstract subject more meaningful to readers.
The text helps readers develop a conceptual understanding of statistics, above and beyond computation, by providing numerous real-life examples and ample opportunities for students to check, review, and apply their learning..
The authors take time to fully explain statistical procedures so that you can go beyond memorizing formulas and begin gaining a conceptual understanding of statistics. They also take care to show you how having an understanding of statistical procedures will help you comprehend published findings--ultimately leading you to become a savvy consumer of information. This practical approach provides students with an understanding of the logic behind the statistics, so they understand why and how certain methods are used -- rather than simply carry out techniques by rote.
Students move beyond number crunching to discover the meaning of statistical results and appreciate how the statistical test to be employed relates to the research questions posed by an experiment.
Written in an informal style, the text provides an abundance of real data and research studies that provide a real-life perspective and help students learn and understand concepts. In alignment with current trends in statistics in the behavioral sciences, the text emphasizes effect sizes and meta-analysis, and integrates frequent demonstrations of computer analyses through SPSS and R. Nolan Publisher : Worth Publishers Release Date : Genre: Psychology Pages : ISBN 10 : GET BOOK Essentials of Statistics for the Behavioral Sciences Book Description : With captivating storytelling, real-world examples, image-and graphic-rich design, accessible mathematics, and step-by-step worked examples, Nolan and Heinzen introduce students to the why and how of statistical practice in the behavioral sciences, while helping them break through common barriers to success in the course.
The authors take time to explain statistical procedures so that students can go beyond memorizing formulas and gain a conceptual understanding of statistics. To ensure that even students with a weak background in mathematics can understand statistics, the authors skillfully by integrate applications that reinforce concepts.
The authors take care to show students how having an understanding of statistical procedures will help them comprehend published findings and will lead them to become savvy consumers of information. Known for its exceptional accuracy and examples, this text also has a complete supplements package to support instructors with class preparation and testing.
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