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SPSS survival manual : a step by step guide to data analysis using IBM SPSS / Julie Pallant.

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Material type: TextPublication details: Berkshire : McGraw-Hill Education. 2013.Edition: 5th edDescription: xiv, 354 p. : ill. ; 26 cmISBN:
  • 9780335262588
LOC classification:
  • HA32.P35(5e)
Contents:
Contents: Part One: Getting started: Designing a study -- Preparing a codebook -- Getting to know IBM SPSS -- Part Two: Preparing the data file and entering data -- Screening and cleaning the data -- Part Three: Preliminary analyses: Descriptive statistics -- Using graphs to describe and explore the data -- Manipulating the data -- Checking the reliability of a scale -- Choosing the right statistic -- Part Four: Statistical techniques to explore relationships among variables: Correlation -- Partial correlation -- Multiple regression -- Logistic regression -- Factor analysis -- Part Five: Statistical techniques to compare groups: Non-parametric statistics -- T-tests -- One-way analysis of variance -- Two-way between-groups ANOVA -- Mixed between-within subjects analysis of variance -- Multivariate analysis of variance -- Analysis of covariance.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY General Stacks WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY HA32.P35(5e) (Browse shelf(Opens below)) 1 Available 9675/376/23
Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY General Stacks WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY HA32.P351(5e) (Browse shelf(Opens below)) 2 Available 9676/377/23
Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY General Stacks WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY HA32.P352(5e) (Browse shelf(Opens below)) 3 Available 9677/378/23

Includes appendix, references and index.

Contents: Part One: Getting started: Designing a study -- Preparing a codebook -- Getting to know IBM SPSS -- Part Two: Preparing the data file and entering data -- Screening and cleaning the data -- Part Three: Preliminary analyses: Descriptive statistics -- Using graphs to describe and explore the data -- Manipulating the data -- Checking the reliability of a scale -- Choosing the right statistic -- Part Four: Statistical techniques to explore relationships among variables: Correlation -- Partial correlation -- Multiple regression -- Logistic regression -- Factor analysis -- Part Five: Statistical techniques to compare groups: Non-parametric statistics -- T-tests -- One-way analysis of variance -- Two-way between-groups ANOVA -- Mixed between-within subjects analysis of variance -- Multivariate analysis of variance -- Analysis of covariance.

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