Asia Pacific University Library catalogue


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

By: Pallant, JulieMaterial type: TextTextPublication details: Maidenhead : Open University Press, 2007Edition: 3rd edDescription: xv, 335 p. : ill. ; 26 cmISBN: 9780335223664 (pbk.); 0335223664 (pbk.)Other title: SPSS survival manual : a step-by-step guide to data analysis using SPSS version 15 [Cover title]Subject(s): SPSS for Windows | Statistics -- Data processing | Social sciences -- Research -- Statistical methodsDDC classification: 519.50285536 LOC classification: HA32 | .P35 2007
Contents:
Designing a study -- Preparing a codebook -- Getting to know SPSS -- Creating a data file and entering data -- Screening and cleaning the data -- Descriptive statistics -- Using graphs to describe and explore the data -- Manipulating the data -- Checking the reliability of a scale -- Choosing the right statistic -- Correlation -- Partial correlation -- Multiple regression -- Logistic regression -- Factor analysis -- 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.
Summary: This manual demystifies statistics and data analysis by guiding the reader through the entire research process. It helps in the process of choosing the right statistical technique and includes a detailed guide to interpreting SPSS ouput.
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Open Shelf 		Book HA32 .P35 2007 c.1 (Browse shelf (Opens below)) 1 Available (No use restrictions) 00022814

Includes bibliographical references (p. 327-332) and index.

Designing a study -- Preparing a codebook -- Getting to know SPSS -- Creating a data file and entering data -- Screening and cleaning the data -- Descriptive statistics -- Using graphs to describe and explore the data -- Manipulating the data -- Checking the reliability of a scale -- Choosing the right statistic -- Correlation -- Partial correlation -- Multiple regression -- Logistic regression -- Factor analysis -- 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.

This manual demystifies statistics and data analysis by guiding the reader through the entire research process. It helps in the process of choosing the right statistical technique and includes a detailed guide to interpreting SPSS ouput.

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