SPSS Analysis 7.0, 7.5, 8.0 Windows (häftad)
Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
286
Utgivningsdatum
1999-03-01
Upplaga
1
Förlag
John Wiley & Sons Ltd
Medarbetare
Steed, Lyndall G.
Illustrationer
illustrations
Volymtitel
7.0, 7.5, 8.0 for Windows
Dimensioner
295 x 225 x 25 mm
Komponenter
with 3.5 disk
ISBN
9780471340805

SPSS Analysis 7.0, 7.5, 8.0 Windows

Analysis without Anguish

Häftad,  Engelska, 1999-03-01

Slutsåld

The new edition of this text is based on Versions 7.0, 7.5 and 8.0 of SPSS for Windows. SPSS is being continually modified, but the steps of entering and analyzing data are very similar in these three versions. The major difference is in the presentation of the output. Thus, users of any of these versions will be able to work with this text, as will users of any earlier version of SPSS for Windows. Intended both as an introduction to the use of SPSS for Windows and as a guide for users wishing to conduct more complicated analytic procedures, this book guides readers through techniques and procedures using worked examples and practice examples to help them consolidate their skills. Solutions are provided to assist both students and lecturers, and assumption testing for each procedure is discussed at the beginning of every chapter. This text also examines the descriptive and analytical functions available in SPSS, such as the tables function, and techniques such as cluster analysis and multi-dimensional scaling that are used frequently in market research and business environments.

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Innehållsförteckning

Introduction to SPSS; preparation of data files; data screening and transformation; descriptive statistics and the tables function; working with output; correlation; t-tests; one-way between groups ANOVA with post-hoc comparisons; one-way between groups ANOVA with planned comparisons; two-way between groups ANOVA; one-way repeated measures ANOVA; two-way repeated measures ANOVA; trend analysis; mixed plot design (SPANOVA); one-way analysis of covariance (ANCOVA); reliability analysis; factor analysis; multiple regression; multivariate analysis of variance (MANOVA); non-parametric techniques; multiple response and multiple dichotomy analysis; cluster analysis; multiple discriminant analysis.