作者: Norm O'Rourke , Edward Stepanski , Larry Hatcher
DOI:
关键词: Multivariate analysis of variance 、 Univariate 、 Cronbach's alpha 、 Data mining 、 Artificial intelligence 、 Natural language processing 、 Data manipulation language 、 Statistic 、 Bivariate analysis 、 Multivariate statistics 、 Computer science 、 Descriptive statistics
摘要: Updated for SAS 9, this second edition is an easy-to-understand introduction to as well univariate and multivariate statistics. Clear explanations simple language guide you through the research terminology, data input, manipulation, types of statistical analysis that are most commonly used in social behavioral sciences. Providing practice inspired by actual studies, book teaches how choose right statistic, understand assumptions underlying procedure, prepare program analysis, interpret output, summarize results according format prescribed Publication Manual American Psychological Association. Step step, will learn perform following analysis: descriptive statistics, measures bivariate association, t tests independent samples paired samples, NOVA MANOVA, multiple regression, principal component assessing scale reliability with coefficient alpha. This text ideally suited students who beginning their study professors researchers want a handy reference on bookshelf.