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SPSS for applied sciences : basic statistical testing
Author
Title
SPSS for applied sciences : basic statistical testing / Cole Davis.
ISBN
9780643107113
0643107118
9780643107120
0643107126
9781523108541
1523108541
Publication
Collingwood, Vic. : CSIRO Publishing, [2013]
Copyright Notice Date
©2013
Physical Description
1 online resource (vi, 175 pages) : illustrations
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
Explains how to use SPSS statistical software, including tests and worked examples.
Variant and related titles
Knovel OCLC KB.
Other formats
Print version: Davis, Cole. SPSS for applied sciences. Collingwood, Vic. : CSIRO Publishing, [2013]
Format
Books / Online
Language
English
Added to Catalog
January 14, 2019
Bibliography
Includes bibliographical references (pages 169-171) and index.
Contents
Part One: Pre-test considerations
Introduction; What this book does; The organisation of content; Data sets and additional information; How to use this book
Descriptive and inferential statistics introduced; Descriptive statistics; Inferential statistics
Parametric and non-parametric tests; Different types of data; Parametric versus non-parametric data
Using SPSS; Data entry in spreadsheet formats; Data entry with SPSS
Practical research; Data analysis in context; Notes on research design; A suggestion for data analysis structure; Selecting cases; Other data manipulation techniques.
Part Two: Using the Statistical Tests
Experiments and quasi-experiments; The analysis of differences; Unrelated and related design; Two or more conditions; Data type; Research design terminology; Different subjects, two conditions; Different subjects, more than two conditions; Same subjects, two conditions; Same subjects, more than two conditions; Factorial ANOVA; Reading factorial ANOVA charts; Multiple comparisons
Frequency of observations; Dichotomies: the binomial test; Repeated dichotomies: the McNemar test; More than two conditions: Chi-square goodness of fit test; Customising expected values: Chi-square goodness of fit; Relationships between variables: Chi-square test of association
The time until events; Statistical assumptions; The Kaplan-Meier survival function; The life table
Correlations, regression and factor analysis; Correlation; Regression; Partial correlation: 'partialling out'; The multiple correlation matrix; Factor analysis: a data reduction methodology.
Part Three: Miscellaneous
Exercises; Questions; Answers
Reporting in applied settings; Raw data or central tendency?; Charts; Written reporting; Verbal reporting
Advanced statistical techniques: a taster; MANOVA; Cluster analysis; Logistic regression; Cox's regression (aka the Cox model); Some thoughts on ANCOVA.
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