Observation Oriented Modeling: Analysis of Cause in the Behavioral Sciences - Rilegato

Grice, James W., Ph.D.

Rilegato

ISBN 10: 0123851947 ISBN 13: 9780123851949

Casa editrice: Academic Pr, 2011

Riassunto

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.

* Describes the problems that statistics are meant to answer, why popularly used statistics often fail to fully answer the question, and how OOM overcomes these obstacles * Chapters include examples of statistical analysis using OOM * Software for OOM comes free with the book * Accompanying website include svideo instruction on OOM use

Su questo libro

Informazioni sull'autore

James W. Grice (B.S., Wright State University; Ph.D., University of new Mexico) is a professor of psychology at Oklahoma State University. his work appears in such journals as Multivariate Behavioral Research, Psychological Methods, and the Journal of Personality. His computer program, Idiogrid, is in circulation in over 30 different countries worldwide.

Dalla quarta di copertina

Traditional methods of data analysis in psychology have long been criticized by scientists and philosophers, the American Psychological Association, and the National Institute for Mental Health. However up to now, no reasonable alternative had been presented. Observation Oriented Modeling (OOM) changes that. OOM is not just another statistical or data analysis methodology that relies upon effect sizes, p levels, or r-squares, but rather a straightforward evaluation of the precise consequences specified by a theory or hypothesis. OOM develops integrated models to accurately explain patterns of observation.

Observation Oriented Modeling introduces this new methodology, what it is and does to advance psychology as a science. Numerous examples are presented of how to interpret data using OOM, using free software for the Windows operating system provided to book buyers on an accompanying website. The software offers analysis options to replace t-tests, ANOVA, correlations, multiple regression, mediation analysis chi-square tests, and inter-rater reliability. The output and graphs generated by the software are easy to interpret, and all effect sizes are presented in a common metric: namely the number of observations correctly classified by the algorithm. While flexible and powerful, the software s interface and output are accessible to students at the undergraduate level.

Features:

• Provides a new accurate means of data analysis
• Offers integrated modeling
• Contains numerous case examples of models and analysis
• Free OOM data analysis software
• Free user instruction manual

Software available at our companion Web Site: http://booksite.academicpress.com/grice/oom/

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Traditional methods of data analysis in psychology have long been criticized by scientists and philosophers, the American Psychological Association, and the National Institute for Mental Health. However up to now, no reasonable alternative had been presented. Observation Oriented Modeling (OOM) changes that. OOM is not just another statistical or data analysis methodology that relies upon effect sizes, p levels, or r-squares, but rather a straightforward evaluation of the precise consequences specified by a theory or hypothesis. OOM develops integrated models to accurately explain patterns of observation.

Observation Oriented Modeling introduces this new methodology, what it is and does to advance psychology as a science. Numerous examples are presented of how to interpret data using OOM, using free software for the Windows operating system provided to book buyers on an accompanying website. The software offers analysis options to replace t-tests, ANOVA, correlations, multiple regression, mediation analysis chi-square tests, and inter-rater reliability. The output and graphs generated by the software are easy to interpret, and all effect sizes are presented in a common metric: namely the number of observations correctly classified by the algorithm. While flexible and powerful, the software s interface and output are accessible to students at the undergraduate level.

Features:

• Provides a new accurate means of data analysis

• Offers integrated modeling

• Contains numerous case examples of models and analysis

• Free OOM data analysis software

• Free user instruction manual

Software available at our companion Web Site: http://booksite.academicpress.com/grice/oom/

Dettagli dell'edizione

• Editore: Academic Pr
• Data di pubblicazione: 2011
• Lingua: Inglese
• ISBN 10: 0123851947
• ISBN 13: 9780123851949
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 242
• Contatto del produttore: non disponibile
• Persona responsabile: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Germania