SPSS Explained

Pirmais vāks
Psychology Press, 2004 - 377 lappuses
SPSS Explainedprovides 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 Explainedis supported by Perry Hinton's highly successful textbook Statistics Explainedwhich 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.

No grāmatas satura

Saturs

Introduction
1
Descriptive statistics
23
Illustrative statistics
39
Introduction to statistical tests
93
Concerns about significance testing
98
t tests
105
The paired samples t test
114
Nonparametric two sample tests
123
Two factor mixed design analysis of variance
221
Calculation of simple main effects two factor mixed design analysis of variance
234
Introduction to multivariate
241
Repeated measures multivariate analysis of variance
250
Onefactor analysis of variance
261
Friedman test for related samples
267
Crosstabulation and chisquare
273
layered 2 3 crosstabulation and chisquare
286

Wilcoxon signedranks test for related samples
130
Introduction to analysis of variance
137
The general linear model
143
Univariate analysis of variance
150
Contrasts and multiple pairwise comparisons
156
One factor analysis of variance
163
One factor repeated measures analysis of variance
187
Two factor analysis of variance
201
Two factor repeated measures analysis of variance
210
Linear correlation and regression
295
Introduction to the Kendall taub correlation
304
Scatterplot procedure SPSS version 12
310
Introduction to scatterplots through the Interactive command
317
Introduction to multiple regression
321
Introduction to factor analysis
339
Index
375
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Par autoru (2004)

Perry R. Hinton, Oxford Brookes University, UK Charlotte Brownlow, Isabella McMurray, Bob Cozens, all University of Luton, UK

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