
SPSS Explained
Routledge (Publisher)
Published on 21. October 2004
Book
Hardback
400 pages
978-0-415-27409-8 (ISBN)
Article exhausted; check for reprint
Description
SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS, guiding the student from the basic rationale behind the statistics, through detailed explanations of the procedures, and finally to all aspects of the SPSS output.
The SPSS output is explained in a unique way: for each part of the output the explanation is divided into both an essentials section and an advanced section. The essentials section covers the basics that the student will need to write up statistics for a research report. The advanced section provides the more advanced student with an explanation for every part of the output to help with further understanding of the statistics.
SPSS Explained is supported by Perry Hinton's highly successful textbook Statistics Explained which outlines all the major statistical tests used by undergraduates in psychology and the social sciences. Both books will be warmly welcomed by students at all levels, and by the lecturers who teach them.
The authors collectively have many years' experience of teaching statistics to undergraduates in the social sciences. They all have current teaching expertise and deal with student SPSS questions on a daily basis.
The SPSS output is explained in a unique way: for each part of the output the explanation is divided into both an essentials section and an advanced section. The essentials section covers the basics that the student will need to write up statistics for a research report. The advanced section provides the more advanced student with an explanation for every part of the output to help with further understanding of the statistics.
SPSS Explained is supported by Perry Hinton's highly successful textbook Statistics Explained which outlines all the major statistical tests used by undergraduates in psychology and the social sciences. Both books will be warmly welcomed by students at all levels, and by the lecturers who teach them.
The authors collectively have many years' experience of teaching statistics to undergraduates in the social sciences. They all have current teaching expertise and deal with student SPSS questions on a daily basis.
Reviews / Votes
"This is a student-friendly text that breaks down the SPSS content into easy to digest chunks. The use of FAQs helps make the book more flexible, and even experienced SPSS users may find some handy new tips in the book." - Dr Thom Baguley, Loughborough University, UK"This book contains many devices to help the students such as cross-references to the SPSS Essential and SPSS Advanced information boxes, example advice boxes and dialogue box illustrations. There are good explanations of statistical concepts and design before plunging into the analyses." - Professor John Todman, University of Dundee, UK
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
College/higher education
Dimensions
Height: 229 mm
Width: 174 mm
Weight
952 gr
ISBN-13
978-0-415-27409-8 (9780415274098)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Perry R. Hinton | Isabella McMurray | Charlotte Brownlow
SPSS Explained
Book
03/2014
2nd Edition
Routledge
€237.70
Article exhausted; check for reprint
Additional editions

Perry R. Hinton | Isabella McMurray | Charlotte Brownlow
SPSS Explained
Book
10/2004
Routledge
€57.13
Article exhausted; check for reprint
Persons
Perry R. Hinton, Oxford Brookes University, UK
Charlotte Brownlow, Isabella McMurray, Bob Cozens, all University of Luton, UK
Charlotte Brownlow, Isabella McMurray, Bob Cozens, all University of Luton, UK
Author
Warwick University, UK
University of Bedfordshire, UK
University of Southern Queensland, Australia
Content
Introduction to SPSS. Levels of Data. Data Entry. Working with the Data Set. Descriptive Statistics. Illustrative Statistics. T-Tests. Independent ANOVA. Repeated Measures ANOVA. 2-factor ANOVA. Sample Non-Parametric Tests. Non-Parametric One Way ANOVA. Chi-Square. Linear Correlation and Regression. Multiple Regression. Factor Analysis. Questionnaire. Glossary. Index.