Statistics Using SPSS: An Integrative Approach (2版)

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This is an introductory applied statistics text that can be used for a one- or two-semester course at either the undergraduate or graduate level. Central features are its hands-on approach; the use of real data; the wealth of exercises and illustrated examples using these data; the complete set of detailed answers to exercises in an appendix; the presentation of statistical methods with a clear, conceptual emphasis that includes an historical account of each method; and the integration of SPSS in a way that reflects statistical practice. Step-by-step instructions for using SPSS are provided as each new analytic procedure is introduced. A data CD is included with the text so that students may conduct their own statistical analyses and learn firsthand how statistics is used in practice.

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