A Tool Kit for Quantitative Data Analysis: Using SPSS

by Sotirios Sarantakos

Overview

This straightforward, approachable text provides students with a beginner's guide and continuing reference tool for undertaking statistical data analysis using SPSS. Introduces key skills for every newcomer to the subject, such as choosing the appropriate test, loading data, using graphs and interpreting computer outputs.

Product Details

ISBN-13:	9781350396937
Publisher:	Bloomsbury Publishing
Publication date:	11/06/2007
Sold by:	Barnes & Noble
Format:	eBook
Pages:	128
File size:	5 MB

About the Author

SOTIRIOS SARANTAKOS is an Adjunct Professor in the School of Humanities and Social Sciences at Charles Sturt University in Australia.

Table of Contents

About this book     ix
Introduction     1
Getting to know your SPSS: SPSS - its many faces     6
Exploring SPSS for Windows     7
Data Editor     8
SPSS Viewer     9
Getting assistance     10
Data analysis: entering and managing data     12
Entering raw data     12
Entering tabular data     16
Entering text data files     20
Entering data with multiple responses     21
Managing SPSS files     24
Transforming data     27
Recoding reverse scale items     27
Recoding multiple responses     30
Getting random samples     31
Getting sub-groups     33
Collapsing numeric variables     35
Creating composite variables     37
Tables, central tendency and dispersion     39
Frequency tables     40
Getting crosstabs     41
Mean, mode, median and standard deviation     42
Standard scores (Z scores)     44
Statistics for sub-groups     45
Data analysis: graphic presentations     47
Histograms     48
Simple bar charts     49
Clustered bar charts     51
Stacked bar charts     52
Pie charts     53
Simple scattergrams     56
Simple box plots     58
Stem-and-leaf plots     60
Transform charts     61
Tests of significance: nonparametric tests     63
A note on statistical significance     63
Chi-square test: goodness-of-fit test     65
Chi-square test for independence     69
McNemar test     70
The Wilcoxon signed-ranks test     72
Mann-Whitney U test     74
Tests of significance: parametric tests     76
T-test for one sample     77
T-test for unrelated (independent) samples     78
T-test for related (dependent) samples     81
One way analysis of variance (ANOVA)     83
Post hoc comparisons     85
Correlation tests: for nominal variables     88
Correlation tests     89
Phi ([phi]) and Cramer's V     91
Lambda coefficient ([lambda])     94
Correlation tests: for ordinal variables     97
Gamma ([gamma])     97
Somers' d     100
Spearman's rho      101
Correlation - regression: for interval/ratio variables     104
Pearson's correlation (r)     104
Partial correlation     107
Simple regression     109
Multiple regression     111
Useful concepts     114
Index     117