SPSS for Windows Step by Step

Darren George, Darren’s academic background includes a B.A. from Pacific Union College (triple major of math, history, religion), an M.A. from California State University, Fullerton (Experimental Psychology) and a Ph.D. from UCLA (Personality and Social Psychology with a minor of Measurement and Psychometrics).  He is a tenured professor of Psychology at Canadian University College in Lacombe, Alberta, Canada. His specialties include data analysis using SPSS software and marital compatibility.  In the latter category Darren has co-authored a bestselling book with his wife Elizabeth on marital compatibility called The Compatibility Code.  He is father of three adult children, Marcus an aerospace engineer; Melody, a film producer; and Robin, an animator with Rhythm and Hues.  He was a nationally ranked runner in the ’70s (2:20:10 marathon) and is an avid trombonist and pianist.   Paul Mallery, Associate Professor at LaSierra University Dr. Mallery joined the LSU faculty in 1993, and completed his Ph.D. from UCLA in 1994 in Social Psychology, with a minor in Political Psychology. His research focuses on intergroup relations, primarily social comparisons in intergroup settings, and prejudice. In addition to numerous conference presentations, he has co-authored two textbooks (published by Wadsworth and Allyn & Bacon) on the SPSS statistical package. Dr. Mallery is extremely engrossed with work and research. He has published an article in the Journal of Social Psychology entitled, "Controllability, Anger, Judgements and Valence of Attributions for Civil Unrest."

1.  An Overview of SPSS for Windows Step-by-Step

2.   SPSS Windows Processes:  Mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options Option

3.   Creating and Editing a Data File

4.   Managing Data:  Listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files

5.   GRAPHS:  Creating and editing graphs and charts

 

BASE SYSTEM MODULE

6.   FREQUENCIES:  Frequencies, bar charts, histograms, percentiles

7.   DESCRIPTIVE Statistics:  Measures of central tendency, variability, deviation from normality, size, and stability

8.   CROSSTABULATION and Chi-Square (2) Analyses

9.   The MEANS Procedure

10.  Bivariate CORRELATION: Bivariate correlations, partial correlations, and the correlation matrix

11.  The T TEST Procedure:  Independent-samples, paired-samples, and one-sample tests

12.  The One-Way ANOVA Procedure:  One-way Analysis of Variance

13.  General Linear Models: Two-Way Analysis of Variance

14.  General Linear Models: Three-Way Analysis of Variance and the influence of covariates

15.  Simple Linear REGRESSION

16.  MULTIPLE REGRESSION ANALYSIS

17.  NONPARAMETRIC Procedures

18.  RELIABILITY ANALYSIS:  Coefficient alpha () and split-half reliability

19.  MULTIDIMENSIONAL SCALING

20.  FACTOR analysis

21.  CLUSTER ANALYSIS

22.  DISCRIMINANT ANALYSIS

 

ADVANCED and REGRESSION MODULES

23.  General Linear Models: MANOVA and MANCOVA: Multivariate Analysis of Variance and Covariance

24.  General Linear Models: Repeated-Measures MANOVA: Multivariate Analysis of Variance with repeated measures and within-subjects factors

25.  LOGISTIC REGRESSION

26.  Hierarchical LOGLINEAR MODELS

27.  General LOGLINEAR MODELS

28.  RESIDUALS:  Analyzing left-over variance

 

Data Files

Glossary

References

Index