This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its... verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 .  Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.

Statisticians and nonstatisticians alike will appreciate this modern and comprehensive new book on multivariate statistical methods that utilizes... statistical computing packages throughout. Author Dallas Johnson uses real-life examples and explains the "when to," "why to," and "how to" of numerous multivariate methods, stressing the importance and practical application of each. Technical details are kept to a minimum, making the book accessible to readers.

Applied Multivariate Research: Design and Interpretation provides full coverage of the wide range of multivariate topics in a conceptual rather than... mathematical approach. The authors gear the text toward the needs, level of sophistication, and interest in multivariate methodology of students in applied programs who need to focus on design and interpretation rather than the intricacies of specific computations.  

This book provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter,... using a conceptual, non-mathematical, approach. Addressing correlation, multiple regression, exploratory factor analysis, MANOVA, path analysis, and structural equation modeling, it is geared toward the needs, level of sophistication, and interest in multivariate methodology that serves students in applied programs in the social and behavioral sciences. Readers are encouraged to focus on design and interpretation rather than the intricacies of specific computations.

  This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to... make proper interpretations and select appropriate techniques for analyzing multivariate data. Starts with a formulation of the population models, delineates the corresponding sample results, and liberally illustrates everything with examples.  Offers an abundance of examples and exercises based on real data.  Appropriate for experimental scientists in a variety of disciplines.

Explores the statistical methods for describing and analyzing multivariate data. It's goal is to provide readers with the knowledge necessary to make... proper interpretations, and select appropriate techniques for analyzing multivariate dataCoverage includes: Detecting Outliers and Data Cleaning; Multivariate Quality Control; Monitoring Quality with Principal Components; and Correspondence Analysis, Biplots, and Procrustes Analysis.

This best-selling text is written for those who use, rather than develop statistical methods. Dr. Stevens focuses on a conceptual understanding of the... material rather than on proving results. Helpful narrative and numerous examples enhance understanding and a chapter on matrix algebra serves as a review. Annotated printouts from SPSS and SAS indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use these packages, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size by providing guidelines so that the results can be generalized. The book is noted for its extensive applied coverage of MANOVA, its emphasis on statistical power, and numerous exercises including answers to half. The new edition features: New chapters on Hierarchical Linear Modeling (Ch. 15) and Structural Equation Modeling (Ch. 16) New exercises that feature recent journal articles to demonstrate the actual use of multiple regression (Ch. 3), MANOVA (Ch. 5), and repeated measures (Ch. 13) A new appendix on the analysis of correlated observations (Ch. 6) Expanded discussions on obtaining non-orthogonal contrasts in repeated measures designs with SPSS and how to make the identification of cell ID easier in log linear analysis in 4 or 5 way designs Updated versions of SPSS (15.0) and SAS (8.0) are used throughout the text and introduced in chapter 1 A book website with data sets and more. Ideal for courses on multivariate statistics found in psychology, education, sociology, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial ANOVA and covariance. Working knowledge of matrix algebra is not assumed.

This book focuses on when to use the various analytic techniques and how to interpret the resulting output from the most widely used statistical... packages (e.g., SAS, SPSS).

A music workbook for anyone who works, or is preparing to work, in the music industry. Not just a textbook, but a resource you will keep to refer to... again and again.
Created to facilitate communication with trained and seasoned musicians, making sessions more efficient, and collaborations easier. Immediately applicable for Engineers, Producers, Managers and Artist.

Describes, in technical detail, what a naval architect does and how he, or she, does it. Can be used as an introduction to naval architecture for... technical personnel employed in shipyards, or as a reference for licensed personnel upgrading their license.

Gain hands-on experience working with networking tools. Applied Networking Labs guides readers through the installation and basic operation of software... used in the field of networking. This book also provides hands-on experience using various networking tools. 

Covers in a progressive fashion a number of analysis tools and design techniques directly applicable to nonlinear control problems in high performance... systems (in aerospace, robotics and automotive areas).

While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest... developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. Reorganized and with additional material, this edition begins with a brief summary of some relevant general statistical concepts and an introduction to basic ideas of nonparametric or distribution-free methods. Designed experiments, including those with factorial treatment structures, are now the focus of an entire chapter. The text also expands coverage on the analysis of survival data and the bootstrap method. The new final chapter focuses on important modern developments, such as large sample methods and computer-intensive applications.Keeping mathematics to a minimum, this text introduces nonparametric methods to undergraduate students who are taking either mainstream statistics courses or statistics courses within other disciplines. By giving the proper attention to data collection and the interpretation of analyses, it provides a full introduction to nonparametric methods.

This book covers the most commonly used nonparametric statistical techniques by emphasizing applications rather than theory. Exercises and examples are... drawn from various disciplines including agriculture, biology, sociology, education, psychology, medicine, business, geology, and anthropology. The applications of techniques are presented in a step-by-step format that is repeated for all illustrative examples. Concepts are reinforced with many references to statistical literature to show the relevance to real-world problems. Chapters contain references of available computer programs and software packages that apply to methods presented in the book.