SPSS for Windows step by step : a simple guide and reference, 17.0 update / Darren George, Paul Mallery.

By: George, Darren
Contributor(s): Mallery, Paul, 1966-
Boston : Allyn & Bacon, c2010Edition: 10th edDescription: x, 386 p. : ill. ; 28 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780205755615; 9780205755615Subject(s): SPSS for Windows | Social sciences -- Statistical methods -- Computer programsDDC classification: 005.5/5
Contents:
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.
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SUBJECT REFERENCE 		005.55 G293 2010 (Browse shelf) c.1 Available CITU-CL-41662
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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

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