TY  - BOOK
AU  - George,Darren
AU  - Mallery,Paul
TI  - SPSS for Windows step by step: a simple guide and reference, 17.0 update 
SN  - 9780205755615
U1  - 005.5/5 22
PY  - 2010///
CY  - Boston
PB  - Allyn & Bacon
KW  - SPSS for Windows
KW  - Social sciences
KW  - Statistical methods
KW  - Computer programs
N1  - Includes bibliographical references and index; An overview of SPSS for Windows step by step -- SPSS Windows processes: mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options option -- Creating and editing a data file -- Managing data: listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files -- Graphs: creating and editing graphs and charts -- PASW statistics base module.  Frequencies: frequencies, bar charts, histograms, percentiles ; Descriptive statistics: measures of central tendency, variability, deviation from normality, size, and stability ; Crosstabulation and chi-square (x²) analyses ; The Means procedure ; Bivariate correlation: bivariate correlations, partial correlations, and the correlation matrix ; The T test procedure: independent-samples, paired-samples, and one-sample tests ; The one-way ANOVA procedure: one-way analysis of variance ; General linear models: two-way analysis of variance ; General linear models: three-way analysis of variance and the influence of covariates ; Simple linear regression ; Multiple regression analysis ; Nonparametric procedures ; Reliability analysis: coefficient alpha and split-half reliability ; Multidimensional scaling ; Factor analysis ; Cluster analysis ; Discriminant analysis -- PASW regression and advanced statistics modules.  General linear models: MANOVA and MANCOVA multivariate analysis of variance and covariance ; General linear models: repeated-measures MANOVA: multivariate analysis of variance with repeated measures and within-subjects factors ; Logistic regression ; Hierarchical loglinear models ; General loglinear models ; Residuals: analyzing left-over variance -- Data files -- Glossary; 000-099; 000
ER  -