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IBM statistics 21 step by step : a simple guide and reference / Darren George, Canadian University College, Paul Mallery, La Sierra University.

By: Contributor(s): Material type: TextTextPublisher: Boston : Pearson, [2014]Copyright date: ©2014Edition: Thirteenth editionDescription: x, 406 pages : illustrations ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780205985517
  • 0205985513
Other title:
  • IBM statistics twenty one step by step
  • IBM SPSS statistics 21 step by step [Cover title]
Uniform titles:
  • SPSS for Windows step by step
Subject(s): DDC classification:
  • 005.55 23
  • 300.285536 23
LOC classification:
  • HA32 .G458 2014
Contents:
1. An overview of IBM SPSS Statistics 21 step by step -- 2. IBM SPSS Statistics Processes for Mac and PC: 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 -- IBM SPSS statistics base module -- 6. Frequencies: frequencies, bar charts, histograms, percentiles -- 7. Descriptive statistics: measures of central tendency, variability, deviation from normality, size and stability -- 8. Cross tabulation and chi-square 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 -- IBM SPSS regression and advanced statistics modules -- 23. General linear models: MANOVA and MANCOVA multivariate analysis of variance and covariance -- 24. General linear modules: 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: analysing left-over variance.
Summary: "IBM SPSS Statistics 21 Step by Step: A Simple Guide and Reference, 13/e, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners. This book also serves as an effective reference for anyone conducting data analysis. Exercises at the end of each chapter give students an opportunity to practice using SPSS. Updated to reflect SPSS Version 21.0."--Publisher's website.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book North Campus North Campus Main Collection 300.285536 SPS GEO (Browse shelf(Opens below)) 1 Available A557886B

Earlier editions published by Allyn & Bacon as: SPSS for Windows step by step : a simple guide and reference.

Includes bibliographical references (pages [399]-400) and index.

1. An overview of IBM SPSS Statistics 21 step by step -- 2. IBM SPSS Statistics Processes for Mac and PC: 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 -- IBM SPSS statistics base module -- 6. Frequencies: frequencies, bar charts, histograms, percentiles -- 7. Descriptive statistics: measures of central tendency, variability, deviation from normality, size and stability -- 8. Cross tabulation and chi-square 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 -- IBM SPSS regression and advanced statistics modules -- 23. General linear models: MANOVA and MANCOVA multivariate analysis of variance and covariance -- 24. General linear modules: 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: analysing left-over variance.

"IBM SPSS Statistics 21 Step by Step: A Simple Guide and Reference, 13/e, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners. This book also serves as an effective reference for anyone conducting data analysis. Exercises at the end of each chapter give students an opportunity to practice using SPSS. Updated to reflect SPSS Version 21.0."--Publisher's website.

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