MANCOVA

The results of table 1 show that error variance in all dependent variables in independent variable level is homogeny and we can use the method of multivariate analysis of covariance to assess this question.

Abbreviations: AED = antiepileptic drug, ANCOVA = analysis of covariance, CESD-10 = Center for Epidemiologic Studies Depression Scale 10-item short form, CNS = central nervous system, EDSS = Expanded Disability Status Scale, MANCOVA = multivariate analysis of covariance, MS = multiple sclerosis, OHSU = Oregon Health & Science University, PASAT = Paced Auditory Serial Addition Test, POMS = Profile of Mood States, RT = reaction time, SSRI = selective serotonin reuptake inhibitor, UFOV = useful field of view, WAIS[R]-III = Wechsler Adult Intelligence Scale[R]-Third Edition.

A multivariate analysis of covariance (MANCOVA) was conducted to examine posttest differences between the Web-based and in-person multicultural supervision peer groups on the multicultural case conceptualization variables (i.e., etiology and treatment), after controlling for school counselor trainees' pretest scores on these variables.

A two-factor multivariate analysis of covariance (MANCOVA) was used to evaluate the effects of temperature and growth on metamorphic date and metamorphic mass.

1), a multivariate analysis of covariance (MANCOVA) (Johnson and Wichern 1992) was used to detect differences between mean vectors of the two sampling procedures (from apiaries or food sources), whereas the geographic coordinates (latitude and longitude) were held constant.

The categorization scheme for data analytic strategies considered the following 15 factors: (1) CSA procedures (e.g:, LISREL, EQS); (2) classical path analysis; (3) zero-order correlation; (4) multiple regression/correlation; (5) canonical correlation; (6) discriminant function analysis and multiple discriminant function analysis; (7) factor analysis (common factor and principal components); (8) cluster analysis; (9) analysis of variance (ANOVA); (10) analysis of covariance (ANCOVA); (11) chi-square based tests of association; (12) multivariate analysis of variance (MANOVA); (13) multivariate analysis of covariance (MANCOVA); (14) t tests of mean differences; and (15) other data analytic strategies (e.g., multidimensional scaling, nonparametric analysis of variance).

Table 5 Multivariate Analysis of Covariance Test of High School Students' Perceived Risk of Having the AIDS/HIV Infection Covariate F ratio p AIDS knowledge 89.92 0.0001 Main effects Previous school-based AIDS education 1.24 0.26 IV drug use 65.37 0.0001 Gender 17.25 0.0001 Ethnicity 0.93 0.42 Hispanic background 0.37 0.54 Interactions AIDS education X IV drug use 25.52 0.0001 AIDS education X Ethnicity 3.14 0.025 IV drug use X Ethnicity 3.78 0.01 The first interaction effect was due to a lower (p [is less than or equal to] 0.0001) level of fear of being currently infected with HIV among IV drug users who received school-based AIDS education while IV drug users who had not received AIDS education were more apprehensive about their HIV status.