文件名称：SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics
文件大小：9MB
文件格式：PDF
更新时间：2022-02-27 18:29:30
Analytics
SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics By 作者: Daniel J. Denis ISBN-10 书号: 1119465818 ISBN-13 书号: 9781119465812 Edition 版本: 1 出版日期: 2018-09-25 pages 页数: (288 ) $125 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. Contents Preface Review of Essential Statistical Principles Introduction to SPSS 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 Nonparametric Tests Closing Remarks and Next Steps Refs Index