# Search Results for "applied-statistics-from-bivariate-through-multivariate-techniques"

## Applied Statistics: From Bivariate Through Multivariate Techniques

From Bivariate Through Multivariate Techniques

• Author: Rebecca M. Warner
• Publisher: SAGE
• ISBN: 141299134X
• Category: Mathematics
• Page: 1172
• View: 7680
Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.

## Applied Statistics

From Bivariate Through Multivariate Techniques

• Author: Rebecca M. Warner
• Publisher: SAGE
• ISBN: 0761927727
• Category: Mathematics
• Page: 1101
• View: 4710
With an approach that does not require formal mathematics (equations are accompanied by verbal explanations), this textbook provides a clear introduction to widely used topics in multivariate statistics, including Multiple Regression, Discriminant Analysis, MANOVA, Factor Analysis, and Binary Logistic Regression. Each chapter presents a complete empirical research example to illustrate the application of a specific method, such as Multiple Regression. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.

## Studyguide for Applied Statistics

From Bivariate Through Multivariate Techniques by Warner, Rebecca M., ISBN 9781412991346

• Author: Cram101 Textbook Reviews
• Publisher: Cram101
• ISBN: 9781497000551
• Category:
• Page: 204
• View: 7375
Never HIGHLIGHT a Book Again! Includes all testable terms, concepts, persons, places, and events. Cram101 Just the FACTS101 studyguides gives all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanies: 9781412991346. This item is printed on demand.

## Applied Univariate, Bivariate, and Multivariate Statistics

• Author: Daniel J. Denis
• Publisher: John Wiley & Sons
• ISBN: 1118632311
• Category: Mathematics
• Page: 760
• View: 3529
A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate Statistics provides an overview of statistical modeling techniques used in fields in the social and behavioral sciences. Blending statistical theory and methodology, the book surveys both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques such as t-tests and correlation as well as more advanced procedures such as MANOVA, factor analysis, and structural equation modeling. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations. Applied Univariate, Bivariate, and Multivariate Statistics also features Demonstrations of statistical techniques using software packages such as R and SPSS® Examples of hypothetical and real data with subsequent statistical analyses Historical and philosophical insights into many of the techniques used in modern social science A companion website that includes further instructional details, additional data sets, solutions to selected exercises, and multiple programming options An ideal textbook for courses in statistics and methodology at the upper- undergraduate and graduate-levels in psychology, political science, biology, sociology, education, economics, communications, law, and survey research, Applied Univariate, Bivariate, and Multivariate Statistics is also a useful reference for practitioners and researchers in their field of application. DANIEL J. DENIS, PhD, is Associate Professor of Quantitative Psychology at the University of Montana where he teaches courses in univariate and multivariate statistics. He has published a number of articles in peer-reviewed journals and has served as consultant to researchers and practitioners in a variety of fields.

## SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics

• Author: Daniel J. Denis
• Publisher: John Wiley & Sons
• ISBN: 111946580X
• Category: Mathematics
• Page: 224
• View: 3714
Enables readers to start doing actual data analysis fast for a truly hands-on learning experience This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences. The book places great emphasis on both data analysis and drawing conclusions from empirical observations. It also provides formulas where needed in many places, while always remaining focused on concepts rather than mathematical abstraction. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics offers a variety of popular statistical analyses and data management tasks using SPSS that readers can immediately apply as needed for their own research, and emphasizes many helpful computational tools used in the discovery of empirical patterns. The book begins with a review of essential statistical principles before introducing readers to SPSS. The book then goes on to offer chapters on: Exploratory Data Analysis, Basic Statistics, and Visual Displays; Data Management in SPSS; Inferential Tests on Correlations, Counts, and Means; Power Analysis and Estimating Sample Size; Analysis of Variance – Fixed and Random Effects; Repeated Measures ANOVA; Simple and Multiple Linear Regression; Logistic Regression; Multivariate Analysis of Variance (MANOVA) and Discriminant Analysis; Principal Components Analysis; Exploratory Factor Analysis; and Non-Parametric Tests. This helpful resource allows readers to: Understand data analysis in practice rather than delving too deeply into abstract mathematical concepts Make use of computational tools used by data analysis professionals. Focus on real-world application to apply concepts from the book to actual research Assuming only minimal, prior knowledge of statistics, SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics is an excellent “how-to” book for undergraduate and graduate students alike. This book is also a welcome resource for researchers and professionals who require a quick, go-to source for performing essential statistical analyses and data management tasks.

## Environment & Planning

A.

• Author: N.A
• Publisher: N.A
• ISBN: N.A
• Category: City planning
• Page: N.A
• View: 6237

## Statistics for the Behavioral and Social Sciences

A Brief Course

• Author: Arthur Aron
• Publisher: N.A
• ISBN: N.A
• Category: Social Science
• Page: 329
• View: 4742
A brief guide to statistics, especially concerning the social and behavioural sciences. This text explains in simple terms the statistical methods used in research in a wide range of social science fields, such as education, sociology, communication, psychology, business and political science.

## Statistics

For the Behavioral and Social Sciences

• Author: Arthur Aron,Elaine N. Aron,PH.D., Arthur Aron,Ph.D., Elaine N Aron
• Publisher: Prentice Hall
• ISBN: 9780138940805
• Category:
• Page: N.A
• View: 6481

## Statistics for the Behavioral and Social Sciences

A Brief Course

• Author: Arthur Aron,Elaine Aron,Elliot J. Coups
• Publisher: Prentice Hall
• ISBN: N.A
• Category: Social Science
• Page: 477
• View: 1891