SPSS Survival Manual

Julie Pallant

336 pages, parution le 01/11/2004

Ajouter à une liste

Indisponible

Résumé

The SPSS Survival Manual throws a lifeline to students and researchers grappling with the SPSS data analysis software.

In this fully revised edition of her bestselling text, Julie Pallant guides you through the entire research process, helping 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, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, 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.

Statistical techniques covered include:

Descriptive statistics
Correlation
Multiple regression
Logistic regression
Factor analysis
T-tests
Analysis of variance
Multivariate analysis of variance
Analysis of covariance
Non-parametric tests

For both beginners and experienced SPSS users in psychology, education, business, sociology, health and related disciplines, the SPSS Survival Manual is an essential guide. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing. This second edition includes new examples, a new section on logistic regression and fully integrated coverage of SPSS version 12.

L'auteur - Julie Pallant

Julie Pallant (Australia) lectures in statistics in the School of Mathematical Sciences at Swinburne University.

Sommaire

Getting Started
- Designing a study
- Preparing a codebook
- Getting to know SPSS
Preparing the Data File
- Creating a data file and entering data
- Screening and cleaning the data
Preliminary Analyses
- Descriptive statistics
- Using graphs to describe and explore data
- Manipulating the data
- Checking the reliability of a scale
- Choosing the right statistic
Statistical Techniques to Explore Relationships
- Correlation
- Partial correlation
- Multiple regression
- Logistic regression
- Factor analysis
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

Voir tout

Replier

Caractéristiques techniques

	PAPIER
Éditeur(s)	Open University Press
Auteur(s)	Julie Pallant
Parution	01/11/2004
Nb. de pages	336
Format	22 x 25
Couverture	Broché
Poids	816g
Intérieur	Noir et Blanc
EAN13	9780335216406
ISBN13	978-0-335-21640-6