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SPSS version 13.0 for windows: analyis without anguish by Sheridan J Coakes, Lyndall Steed and Peta Dzidic

By: Contributor(s): Material type: TextTextLanguage: English Publication details: New Delhi Wiley India 2010Description: ix, 270pISBN:
  • 9788126508709
  • 8126508701
Subject(s): DDC classification:
  • 519.50285536 COA
Contents:
How to use SPSS -- Introduction to SPSS -- Preparation of data files -- Data screening and transformation -- Descriptive statistics -- Correlation -- T-test -- One-way between-groups ANOVA with post-hoc comparisons -- One-way between-groups ANOVA with planned comparisons -- Two-way between-groups ANOVA -- One-way repeated measures ANOVA -- Two-way repeated measures ANOVA -- Trend analysis -- Mixed/ split plot design (SPANOVA) -- One-way analysis of covariance (ANCOVA) -- Reliability analysis -- Factor analysis -- Multiple regression -- Multiple analysis of variance (MANOVA) -- Nonparametric techniques -- Multiple response and multiple dichotomy analysis -- Multidimensional scaling -- Analysis data with SPSS -- Introduction and research questions -- Further practice -- Working with output -- Extra practice -- Appendix
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Learning Resource Centre 519.50285536 COA (Browse shelf(Opens below)) Available 577
Books Books Learning Resource Centre 519.50285536 COA (Browse shelf(Opens below)) Available 2243
Total holds: 0

How to use SPSS -- Introduction to SPSS -- Preparation of data files -- Data screening and transformation -- Descriptive statistics -- Correlation -- T-test -- One-way between-groups ANOVA with post-hoc comparisons -- One-way between-groups ANOVA with planned comparisons -- Two-way between-groups ANOVA -- One-way repeated measures ANOVA -- Two-way repeated measures ANOVA -- Trend analysis -- Mixed/ split plot design (SPANOVA) -- One-way analysis of covariance (ANCOVA) -- Reliability analysis -- Factor analysis -- Multiple regression -- Multiple analysis of variance (MANOVA) -- Nonparametric techniques -- Multiple response and multiple dichotomy analysis -- Multidimensional scaling -- Analysis data with SPSS -- Introduction and research questions -- Further practice -- Working with output -- Extra practice -- Appendix

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