Kategoria BISAC: Education >> Statistics

This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author's emphasis is on providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality, and other vector space ideas. Every chapter comes with numerous exercises and examples that make it ideal for a graduate-level course. All of the standard topics are covered in depth: ANOVA, estimation including Bayesian estimation, hypothesis testing, multiple comparisons, regression analysis, and experimental...

This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are increasingly used in the social and behavioral sciences. Both basic" and" advanced designs are covered. Readers are shown how to apply power analysis to techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling. Each chapter opens with a review of the statistical procedure and then proceeds to derive the power functions. This is followed by examples that demonstrate how to produce power tables and charts. The book clearly...

An accessible guide designed as an introduction to educational research and statistics. Dr Picciano places especial emphasis on understanding and interpreting statistical procedures rather than on working with mathematical formulae. The primer covers the main areas of concern to any student embarking on a research project, such as how to locate material for research purposes, how to plan a research project, how to conduct various types of research as well as how to use research in educational practice. The primer is brought to life with numerous examples from Dr Picciano's workshops...

An accessible guide designed as an introduction to educational research and statistics. Dr Picciano places especial emphasis on understanding and interpreting statistical procedures rather than on working with mathematical formulae. The primer covers the main areas of concern to any student embarking on a research project, such as how to locate material for research purposes, how to plan a research project, how to conduct various types of research as well as how to use research in educational practice. The primer is brought to life with numerous examples from Dr Picciano's workshops...

Understanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life that often takes first year psychology students by surprise. Filled with jargon-free explanations and real-life examples, Psychology Statistics For Dummies makes the often-confusing world of statistics a lot less baffling, and provides you with the step-by-step instructions necessary for carrying out data analysis.

Psychology Statistics For Dummies:

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Solutions Manual to accompany Classical Geometry: Euclidean, Transformational, Inversive, and Projective

Written by well-known mathematical problem solvers, Classical Geometry: Euclidean, Transformational, Inversive, and Projective features up-to-date and applicable coverage of the wide spectrum of geometry and aids readers in learning the art of logical reasoning, modeling, and proof. With its reader-friendly approach, this undergraduate text features self-contained topical coverage and provides a large selection of solved exercises to aid in reader comprehension....

This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected and provides examples that demonstrate how to analyze data for a variety of LVMs.　 Featuring examples applicable to psychology, education, business, and other social and health sciences, minimal text is devoted to theoretical underpinnings. The material is presented...