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Data analysis using SPSS for Windows : a beginner's guide / Jeremy J. Foster

Main Author Foster, Jeremy J. Country Reino Unido. Publication London : Sage, 1998 Description XIII, 224 p. ; 24 cm ISBN 0-7619-6016-3 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 - F Available 256379
Monografia Biblioteca Geral da Universidade do Minho
BGUM 303.7:681.3.06 - F Available 258196
Monografia Biblioteca Geral da Universidade do Minho
BGUM 303.7:681.3.06 - F Available 278315
Monografia Biblioteca Geral da Universidade do Minho
BGUM 303.7:681.3.06 - F Available 278341
Total holds: 0

Enhanced descriptions from Syndetics:

SPSS for Windows is the most widely used computer package for analyzing quantitative data. In a clear, readable, non-technical style, this book teaches beginners how to use the program, input and manipulate data, use descriptive analyses and inferential techniques, including: t -tests, analysis of variance, correlation and regression, nonparametric techniques, and reliability analysis and factor analysis.

The author provides an overview of statistical analysis, and then shows in a simple step-by-step method how to set up an SPSS file in order to run an analysis as well as how to graph and display data. He explains how to use SPSS for all the main statistical approaches you would expect to find in an introductory statistics course.

The book is written for users of Versions 6 and 6.1, but will be equally valuable to users of later versions.

Table of contents provided by Syndetics

  • Aims of this Book
  • The Basics of Statistical Analysis
  • Starting Out
  • Crucial Preliminaries
  • The Data File
  • Merging Data Files
  • Running a Simple Analysis and Obtaining the Output
  • Syntax Files
  • Taking a Preliminary Look at the Data
  • Graphs
  • Ranking and Sorting the Data
  • Changing the Way Data Is Coded and Grouped
  • Selecting Subgroups for Analysis
  • How Many Respondents Gave a Particular Answer?
  • Frequency Data
  • What Is the Average Score?
  • Measures of Central Tendency and Dispersion
  • Parametric Statistical Tests Comparing Means
  • Correlations and Multiple Regression
  • Analysing Nominal and Ordinal Data
  • Assessing Test Reliability
  • Factor Analysis
  • Obtaining Neat Printouts

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