Data Analysis Using SAS Enterprise Guide - Brossura

Meyers, Lawrence S.; Gamst, Glenn; Guarino, A. J.

 
9780521130073: Data Analysis Using SAS Enterprise Guide

Sinossi

This book presents the basic procedures for using SAS Enterprise Guide to analyse statistical data.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sugli autori

Lawrence S. Meyers is Professor of Psychology at Sacramento State University. He teaches undergraduate and graduate courses in research design, data analysis, data interpretation, testing and measurement, and history and systems of psychology. He was coauthor of a textbook on research methods in the 1970s, has recently coauthored books on multivariate research design and analysis of variance, and has more than three dozen publications; some of his relatively recent work has been in areas such as measurement and testing and positive psychology. He received his doctorate from Adelphi University and worked on a National Science Foundation Postdoctoral Fellowship at the University of Texas, Austin, and Purdue University.

Glenn Gamst is Professor and Chair of the Psychology Department at the University of La Verne, where he teaches the doctoral advanced statistics sequence. He received his PhD from the University of Arkansas in experimental psychology. His research interests include the effects of multicultural variables such as client-therapist ethnic match, client acculturation status and ethnic identity, and therapist cultural competence on clinical outcomes. Additional research interests focus on conversation memory and discourse processing.

A. J. Guarino is on the faculty at Alabama State University where he teaches graduate statistics courses in the Psychology department. He received his bachelor's degree from the University of California, Berkeley, and earned a doctorate in statistics and research methodologies from the University of Southern California through the Department of Educational Psychology.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9780521112680: Data Analysis Using SAS Enterprise Guide

Edizione in evidenza

ISBN 10:  0521112680 ISBN 13:  9780521112680
Casa editrice: Cambridge University Press, 2009
Rilegato