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

By: Contributor(s): Material type: TextTextPublication details: India : Pearson Education, 2011.Edition: 10th edDescription: x, 386 p. : illISBN:
  • 9780205755615
  • 0205755615
Subject(s): DDC 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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Item type Current library Call number Copy number Status Barcode
CIU Library CIU Library General Stacks 005.5/5 (Browse shelf(Opens below)) 2 Available 007735
CIU Library CIU Library General Stacks 005.5/5 (Browse shelf(Opens below)) 1 Available 007613

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.

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