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

By: Material type: TextTextPublisher: Sydney : Allen & Unwin, 2016Copyright date: ©2016Edition: 6th editionDescription: xv, 352 pages : illustrations ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1760291951
  • 9781760291952
Subject(s): DDC classification:
  • 519.50285536  23
LOC classification:
  • HA32 .P35 2016
Contents:
Pt. I, Getting started : -- Designing a study -- Preparing a codebook -- Getting to know IBM SPSS --
Pt. II, Preparing a data file : -- Creating a data file and entering data -- Screening and cleaning the data --
Pt. III, 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 --
Pt. IV, Statistical techniques to explore relationships among variables : -- Correlation -- Partial correlation -- Multiple regression -- Logistic regression -- Factor analysis --
Pt. V, 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.
Summary: This is a completely updated edition of the internationally successful, user-friendly guide that takes students and researchers through the often daunting process of analysing research data with the widely used SPSS software package. Fully revised and updated for IBM SPSS Statistics Version 21, this text guides you through the entire research process & helps you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, it discusses basic and advanced statistical techniques. It outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report. -- Publisher description
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 519.50285536 PAL (Browse shelf(Opens below)) 1 Available A546900B
Book North Campus North Campus Main Collection 519.50285536 PAL (Browse shelf(Opens below)) 1 Available A540921B
Book South Campus South Campus Main Collection 519.50285536 PAL (Browse shelf(Opens below)) 1 Available A539336B
Book South Campus South Campus Main Collection 519.50285536 PAL (Browse shelf(Opens below)) 1 Available A539385B

Concealed spiral binding.

Previously published in 2013.

Includes bibliographical references and index.

Pt. I, Getting started : -- Designing a study -- Preparing a codebook -- Getting to know IBM SPSS --

Pt. II, Preparing a data file : -- Creating a data file and entering data -- Screening and cleaning the data --

Pt. III, 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 --

Pt. IV, Statistical techniques to explore relationships among variables : -- Correlation -- Partial correlation -- Multiple regression -- Logistic regression -- Factor analysis --

Pt. V, 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.

This is a completely updated edition of the internationally successful, user-friendly guide that takes students and researchers through the often daunting process of analysing research data with the widely used SPSS software package. Fully revised and updated for IBM SPSS Statistics Version 21, this text guides you through the entire research process & helps you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, it discusses basic and advanced statistical techniques. It outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report. -- Publisher description

Machine converted from AACR2 source record.

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