By
James Grice, Department of Psychology, Oklahoma State University, Stillwater, Oklahoma, USA
Description
This book introduces a new data analysis technique that addresses long standing criticisms of the current standard statistics. Observation
Oriented Modelling presents the mathematics and techniques underlying the new method, discussing causality, modelling, and logical hypothesis
testing. Examples of how to approach and interpret data using OOM are presented throughout the book, including analysis of several classic
studies in psychology. These analyses are conducted using comprehensive software for the Windows operating system that has been written
to accompany the book and will be provided free to book buyers on an accompanying website.
The software has a user-friendly
interface, similar to SPSS and SAS , which are the two most commonly used software analysis packages, and the analysis options are flexible
enough to replace numerous traditional techniques such as t-tests, ANOVA, correlation, multiple regression, mediation analysis, chi-square
tests, factor analysis, and inter-rater reliability. The output and graphs generated by the software are also easy to interpret, and
all effect sizes are presented in a common metric; namely, the number of observations correctly classified by the algorithm. The software
is designed so that undergraduate students in psychology will have no difficulty learning how to use the software and interpreting the
results of the analyses.
