Using Multivariate StatisticsThis text takes a practical approach to multivariate data analysis, with an introductionto the most commonly encountered statistical and multivariate techniques. Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS, SPSS, and SYSTAT, some not available in software manuals. The book maintains its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Overall, it provides advanced students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge ofhigher-level mathematics. *A new chapter on survival analysis (Ch. 15) allows students to analyze data where the outcome is time until something happens. This is very popular in biomedical research. *A new chapter on time series analysis (Ch. 16) encourages students to learn to model patterns in data gathered over many trials and to test for the effectiveness on an intervention ( |
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Page 4
... programs are available in a number of computer packages . Three packages are demonstrated in this book . Examples are based on programs in SPSS ( Sta- tistical Package for the Social Sciences ) ( SPSS Inc. , 1999a through 1999e ) , SAS ...
... programs are available in a number of computer packages . Three packages are demonstrated in this book . Examples are based on programs in SPSS ( Sta- tistical Package for the Social Sciences ) ( SPSS Inc. , 1999a through 1999e ) , SAS ...
Page 319
... programs . SAS has a single general linear model program designed for use with both discrete and con- tinuous variables . This program deals well with ANCOVA . Features of eight programs are described in Table 8.27 . 8.7.1 SPSS Package ...
... programs . SAS has a single general linear model program designed for use with both discrete and con- tinuous variables . This program deals well with ANCOVA . Features of eight programs are described in Table 8.27 . 8.7.1 SPSS Package ...
Page 389
... programs , MANOVA ( available only through syntax ) and GLM . Features of the two programs are quite different , so that you may want to use both programs for an analysis . Both pro- grams offer several methods of adjustment for unequal ...
... programs , MANOVA ( available only through syntax ) and GLM . Features of the two programs are quite different , so that you may want to use both programs for an analysis . Both pro- grams offer several methods of adjustment for unequal ...
Contents
Using the Book | 17 |
Review of Univariate and Bivariate Statistics | 31 |
Screening Data | 56 |
Copyright | |
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Common terms and phrases
addition adjusted analysis assessed associated assumption attitude canonical cell Chapter classification coding combination comparisons considered continuous correlation covariates deleted depends deviations differences discriminant function discussed distribution effects equation error estimated evaluated example expected factor Figure frequencies groups hypothesis important included indicates interaction interpretation interval labeled levels linear loadings logistic regression MANOVA matrix means measured methods missing multiple multivariate normality observed outliers output partial pattern performed plots predicted predictors probability problem procedure produce programs provides ratio regression regression coefficients relationship reliable researcher residuals rotation sample scores Selected separate shown shows significant solution Specify SPSS standard statistical step subjects sum of squares Syntax SYSTAT Table techniques tion transformation treatment Type univariate values variables variance variates women Yes Yes Yes