Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data; how to determine whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic analysis; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling; multivariate analysis of variance (MANOVA); assessing reliability of data; multiple imputation; mediation, moderation, and canonical correlation; and factor analysis are provided. SPSS syntax with output is included for those who prefer this format.
The new edition features:
IBM SPSS for Intermediate Statistics, Fifth Edition
provides helpful teaching tools:
An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social, behavioral, and health sciences. This book is also appreciated by researchers in these areas looking for a handy reference for SPSS
Chapter 1 Introduction
Chapter 2 Data Coding And Exploratory Analysis (Eda)
Chapter 3 Several Measures Of Reliability
Chapter 4 Exploratory Factor Analysis And Principal Components Analysis
Chapter 5 Selecting And Interpreting Inferential Statistics
Chapter 6 Multiple Regression
Chapter 7 Mediation, Moderation, And Canonical Correlation
Chapter 8 Logistic Regression And Discriminant Analysis
Chapter 9 Factorial Anova And Ancova
Chapter 10 Repeated-Measures And Mixed Anovas
Chapter 11 Multivariate Analysis Of Variance (Manova)
Chapter 12 Multilevel Linear Modeling/Hierarchical Linear Modeling
Chapter 13 Missing Data And Multiple Imputation