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SPSS for applied sciences : basic statistical testing /
Explains how to use SPSS statistical software, including tests and worked examples.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Collingwood, Vic. :
CSIRO Publishing,
[2013]
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.