Review of Essential Statistical Principles: Big Picture on Statistical Modeling and Inference -- 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.
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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. --
Proquest Ebook Central
5485200
SPSS data analysis for univariate, bivariate, and multivariate statistics.