![]() ![]() Student learning is supported by a rich suite of online resources, including answers to end-of-chapter exercises, real data sets, PowerPoint slides, and a test bank. The third edition has been updated throughout and includes a new chapter on research design, new topics (including weighted mean, resampling with the bootstrap, the role of the syntax file in workflow management, and regression to the mean) and new examples and exercises. Numerous end-of-chapter exercises allow students to apply and test their understanding of chapter topics, with detailed answers available online. With 100 worked examples, the textbook guides students through statistical practice using real data and avoids complicated mathematics. Paul formerly worked as a computer specialist, both programming and teaching computer usage.Written in a clear and lively tone, Statistics Using IBM SPSS provides a data-centric approach to statistics with integrated SPSS (version 22) commands, ensuring that students gain both a deep conceptual understanding of statistics and practical facility with the leading statistical software package. in Social Psychology from UCLA (1994) with emphases in statistics and political psychology. Paul Mallery is currently a professor at La Sierra University where he teaches social psychology and experimental methodology (including the application of SPSS). at UCLA with emphases in personality psychology, social psychology, and measurement & psychometrics. in Experimental Psychology at California State University, Fullerton (1982) taught high school mathematics for nine years (1980-1989) at Mark Keppel High School (Alhambra, CA) and Mountain View High School (El Monte, CA) then completed a Psychology Ph.D. RESIDUALS: Analyzing left-over varianceĭarren George is currently a professor at Canadian University College where he teaches personality psychology, social psychology, and research methods. General Linear Models: Repeated-Measures MANOVA: Multivariate Analysis of Variance with repeated measures and within-subjects factorsĢ8. ![]() General Linear Models: MANOVA and MANCOVA Multivariate Analysis of Variance and CovarianceĢ4. IBM SPSS REGRESSION AND ADVANCED STATISTICS MODULESĢ3. RELIABILITY ANALYSIS: Coefficient alpha and split-half reliability General Linear Models: Three-Way Analysis of Variance and the influence of covariatesġ8. General Linear Models: Two-Way Analysis of Varianceġ4. The One-Way ANOVA Procedure: One-Way Analysis of Varianceġ3. The T TEST Procedure: Independent-samples, paired-samples, and one-sample testsġ2. Bivariate CORRELATION: Bivariate correlations, partial correlations, and the correlation matrixġ1. CROSSTABULATION and Chi-Square Analysesġ0. ![]() DESCRIPTIVE Statistics: Measures of central tendency, variability, deviation from normality, size, and stabilityĨ. FREQUENCIES: Frequencies, bar charts, histograms, percentilesħ. GRAPHS: Creating anad editing graphs and chartsĦ. Managing Data: Listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging filesĥ. IBM SPSS Statistics Processes for PC and Mac: Mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options OptionĤ. Exercises at the end of each chapter give students an opportunity to practice using SPSS. An overview of IBM SPSS Statistics 19 Step by StepĢ. Chapter 8 procedures have been expanded to include include Weighted cases and Chi-Square analyses with a single variable. Chapter 2 features both Windows and Mac OS SPSS programs. All of the datasets used in the book are available for download on the instructor resource center at New to this Edition Exercises at the end of each chapter give students an opportunity to practice using SPSS. Hundreds of screen shots and “Step by Step” boxes guide the student through the program. Presents straightforward “step by step” instructions in each analysis chapter to clarify procedures. All of the datasets used in the book are available for download online at Exercises at the end of each chapter give students an opportunity to practice using SPSS. Hundreds of screen shots and step-by-step boxes guide the student through the program. Presents straightforward step-by-step instructions in each analysis chapter to clarify procedures. IBM SPSS Statistics Step by Step 12e makes data analysis and SPSS procedures clear and accessible.
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