Overview

What should you see when you're analyzing real data using one of the major statistical packages, such as SPSS, SAS or Microsoft Excel? This book will show you, and will walk you through the output from a variety of statistical outcomes, such as data reflecting a single common factor. Through the use of actual demonstrations, the authors supply readers with the computer programs necessary to simulate data sets with the statistical properties that are often assumed of real data. Throughout the book, the authors provide the reader with helpful guides, such as: *hint boxes to give readers tips for executing particular techniques using the statistical software packages *steps that show each stage of a procedure, such as importing an Excel file into SAS *problems end each chapter so the reader can practice the techniques described *web-site with the SAS and SPSS programs and sample data

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9780761917816

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Reviews

A good resource for learning statistical concepts through using SPSS or SAS, and an excellent resource for an instructor teaching a statistical analysis course. The sequence of chapters builds logically from univariate to multivariate analysis. Each chapter provides a good explanation of the concepts to be illustrated. The book will be particularly useful for students and faculty in such programs as quantitative psychology, sociology, or public health. -- Joseph Roy Gillis In short, this book gives us an unparallel source of practical, tested and easy to use information and materials to help both instructors and students to use their fullest potential. -- Journal of Psychology in Africa

In short, this book gives us an unparallel source of practical, tested and easy to use information and materials to help both instructors and students to use their fullest potential. -- Journal of Psychology in Africa A good resource for learning statistical concepts through using SPSS or SAS, and an excellent resource for an instructor teaching a statistical analysis course. The sequence of chapters builds logically from univariate to multivariate analysis. Each chapter provides a good explanation of the concepts to be illustrated. The book will be particularly useful for students and faculty in such programs as quantitative psychology, sociology, or public health. -- Joseph Roy Gillis

A good resource for learning statistical concepts through using SPSS or SAS, and an excellent resource for an instructor teaching a statistical analysis course. The sequence of chapters builds logically from univariate to multivariate analysis. Each chapter provides a good explanation of the concepts to be illustrated. The book will be particularly useful for students and faculty in such programs as quantitative psychology, sociology, or public health. -- Joseph Roy Gillis A good resource for learning statistical concepts through using SPSS or SAS, and an excellent resource for an instructor teaching a statistical analysis course. The sequence of chapters builds logically from univariate to multivariate analysis. Each chapter provides a good explanation of the concepts to be illustrated. The book will be particularly useful for students and faculty in such programs as quantitative psychology, sociology, or public health. -- Joseph Roy Gillis In short, this book gives us an unparallel source of practical, tested and easy to use information and materials to help both instructors and students to use their fullest potential. -- Journal of Psychology in Africa

Author Information

Prof. Bernstein has a long background in both experimental psychology and the study of individual differences. Much of his work involves medical applications including opthalmology, pain management, and psychiatry. After spending many years at the University of Texas at Arlington, he joined the faculty at UT Southwestern because of his work on a collaborative project with Dr. A. John Rush, former associate chair of the Department of Clinical Sciences and professor of Psychiatry. He also holds an adjoint appointment in the School of Health Professions. Nancy has been on the staff of the Office of Information Technology (OIT) since 1987 - ten of those years as the Manager of User Services. Her work has centered around applying the tools of mathematics, statistics, computers, and computer software to assist faculty, staff, and students in their research efforts. She now is Manager of Statistical Services.

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