Data Analysis Using SPSS for Windows - Version 6

A Beginner′s Guide
1. Auflage 1999
ISBN: 978-0-7619-6015-7
Verlag: Sage Publications

Buch, Englisch, 224 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 510 g

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.

Autoren/Hrsg.

Foster, Jeremy J

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Mathematik | Informatik EDV | Informatik Betriebssysteme Windows Betriebssysteme
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Demographie, Demoskopie

Inhaltsverzeichnis

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

Über Autor(innen)

Foster, Jeremy J
Dr Jeremy Foster is Principal Lecturer in the Department of Psychology and Speech Therapy at Manchester Metropolitan University.