SPSS for applied sciences : basic statistical testing /

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Bibliographic Details
Author / Creator:Davis, Cole, author
Imprint:Collingwood, Vic. : CSIRO Publishing, [2013]
©2013
Description:1 online resource (vi, 175 pages) : illustrations
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11174600
Hidden Bibliographic Details
ISBN:9780643107113
0643107118
9780643107120
0643107126
9781523108541
1523108541
Notes:Includes bibliographical references (pages 169-171) and index.
Summary:Explains how to use SPSS statistical software, including tests and worked examples.
Other form:Print version: Davis, Cole. SPSS for applied sciences. Collingwood, Vic. : CSIRO Publishing, [2013] 9780643107106
Table of 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.