Written in straightforward, accessible language for non-statisticians.
Emphasis is on applied statistics rather than equations and statistical theory.
Addresses the ongoing debate in social sciences about treating ordinal data as if they were interval.
Features practical examples and step-by-step instructions.
Includes screenshots of SPSS to assist readers in following the procedures.
Shares examples of how to describe findings in both statistical and everyday language.
Useful companion website contains syntax, data set, and additional resources.
First chapter contextualizes nonparametric techniques, including issues of measurement, assumptions, advantages and disadvantages, and "how small is small."
Description:
Pocket Guide to Social Work Research Methods
Written in straightforward, accessible language for non-statisticians.
Emphasis is on applied statistics rather than equations and statistical theory.
Addresses the ongoing debate in social sciences about treating ordinal data as if they were interval.
Features practical examples and step-by-step instructions.
Includes screenshots of SPSS to assist readers in following the procedures.
Shares examples of how to describe findings in both statistical and everyday language.
Useful companion website contains syntax, data set, and additional resources.
First chapter contextualizes nonparametric techniques, including issues of measurement, assumptions, advantages and disadvantages, and "how small is small."