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SPSS survival manual : a step by step guide to data analysis using SPSS for Windows (versions 10 and 11) / Julie Pallant

Main Author Pallant, Julie Country Estados Unidos. Publication Buckingham : Open University Press, imp. 2002 Description XVI, 286 p. ; 26 cm ISBN 0-335-20890-8 CDU 303.7:681.3.06 681.3.06:303.7
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Holdings
Item type Current location Call number Status Date due Barcode Item holds
Monografia Biblioteca Geral da Universidade do Minho
BGUM 303.7:681.3.06 - P Checked out 2022-10-31 307431
Total holds: 0

Enhanced descriptions from Syndetics:

This manual aims to demystify statistics and data analysis by guiding you through the entire research process and helping you choose the right statistical technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, the author discusses basic and advanced techniques. Each technique is clearly outlined, with step-by-step procedures for performing the analysis, a detailed guide to interpreting SPSS output and an example of how to present the results in a report. Illustrated with screen grabs, examples of output and tips, and supported by a website (www.openup.co.uk/spss) with sample data and guidelines on report writing, this manual can be used by students and researchers at any level alongside any major statistics textbook.

Table of contents provided by Syndetics

  • Introduction and overview
  • Part One Getting started
  • Designing a study
  • Preparing a codebook
  • Getting to know SPSS
  • Part Two Preparing the data file
  • Creating a 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 Factor analysis
  • Part Five Statistical techniques to compare groups 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 Non-parametric statistics
  • Appendix Recommended references
  • Index

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