SPSS for Applied Sciences. Basic Statistical Testing

Contents......Page 3
Pre-Test Considerations......Page 5
What this book does......Page 6
The organisation of content......Page 7
Acknowledgements......Page 8
Descriptive statistics......Page 10
Inferential statistics......Page 13
Different types of data......Page 19
Parametric versus non-parametric data......Page 20
Data entry with SPSS......Page 22
Notes on research design......Page 30
A suggestion for data analysis structure......Page 32
Selecting cases......Page 45
Other data manipulation techniques......Page 47
Using the Statistical Tests......Page 48
Unrelated and related design......Page 49
Research design terminology......Page 50
Different subjects, two conditions......Page 51
Different subjects, more than two conditions......Page 56
Same subjects, two conditions......Page 63
Same subjects, more than two conditions......Page 68
Factorial ANOVA......Page 76
Reading factorial ANOVA charts......Page 82
Multiple comparisons......Page 95
7 Frequency of observations......Page 99
Dichotomies: the binomial test......Page 100
Repeated dichotomies: the McNemar test......Page 103
More than two conditions: Chi-square goodness of fit test......Page 105
Customising expected values: Chi-square goodness of fit......Page 107
Relationships between variables: Chi-square test of association......Page 109
8 The time until events......Page 113
Statistical assumptions......Page 114
The Kaplan–Meier survival function......Page 115
The life table......Page 121
Correlation......Page 124
Regression......Page 132
Partial correlation: ‘partialling out’......Page 140
The multiple correlation matrix......Page 141
Factor analysis: a data reduction methodology......Page 143
Miscellaneous......Page 152
Questions......Page 153
Answers......Page 154
Raw data or central tendency?......Page 156
Written reporting......Page 157
Verbal reporting......Page 159
Cluster analysis......Page 161
Some thoughts on ANCOVA......Page 162
Refs......Page 165
Index......Page 168