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

By: Material type: TextTextPublisher: Berkshire : McGraw-Hill Education. 2013Edition: 5th edDescription: xiv, 354 p. : ill. ; 26 cmISBN: 9780335262588LOC 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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WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY
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Books Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY
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Books Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY
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WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY
HA32.P352(5e) (Browse shelf) 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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