Discovering Statistics Using IBM SPSS Statistics (5版)

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書名：Discovering Statistics Using IBM SPSS Statistics 5/E 作者：Field 出版社：SAGE 出版日期：2018/00/00 ISBN：9781526419521 目錄 Chapter 1: Why is my evil lecturer forcing me to learn statistics? Chapter 2: The SPINE of statistics Chapter 3: The phoenix of statistics Chapter 4: The IBM SPSS Statistics environment Chapter 5: Exploring data with graphs Chapter 6: The beast of bias Chapter 7: Non-parametric models Chapter 8: Correlation Chapter 9: The Linear Model (Regression) Chapter 10: Comparing two means Chapter 11: Moderation, mediation and multicategory predictors Chapter 12: GLM 1: Comparing several independent means Chapter 13: GLM 2: Comparing means adjusted for other predictors (analysis of covariance) Chapter 14: GLM 3: Factorial designs Chapter 15: GLM 4: Repeated-measures designs Chapter 16: GLM 5: Mixed designs Chapter 17: Multivariate analysis of variance (MANOVA) Chapter 18: Exploratory factor analysis Chapter 19: Categorical outcomes: chi-square and loglinear analysis Chapter 20: Categorical outcomes: logistic regression Chapter 21: Multilevel linear models

IBM SPSS Statistics 25 Step by Step (15版)

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IBM SPSS Statistics 25 Step by Step: A Simple Guide and Reference, fifteenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers both the basics of descriptive statistical analysis using SPSS through to more advanced topics such as multiple regression, multidimensional scaling and MANOVA, including instructions for Windows and Mac. This makes it ideal for both undergraduate statistics courses and for postgraduates looking to further develop their statistics and SPSS knowledge. New to this edition: Updated throughout to SPSS 25 Updated / restructured material on: Chart Builder; Univariate ANOVA; moderation on two- and three-way ANOVA; and Factor Analytic Techniques (formerly Factor Analysis structure) New material on computing z and T scores, and on computing z scores within descriptive statistics Clearer in-chapter links between the type of data and type of research question that the procedure can answer Updated / additional datasets, exercises, and expanded Companion Website material, including Powerpoint slides for instructors