heteroscedasticity

(redirected from Skewedness)

het·er·o·sced·as·tic·i·ty

(het'ĕr-ō-skĕd'as-tis'ĭ-tē),
Nonconstancy of the variance of a measure over the levels of the factor under study.
[hetero + G. skedastikos, pertaining to scattering, fr. skedannumi, to scatter]

heteroscedasticity

an irregular scattering of values in a series of distributions; accompanied by a comparable scatter of variances.
References in periodicals archive ?
In fact, other geoduck species show similar size/age sex ratio skewedness (Anderson unpubl.
5) Tokenism implies the numeric skewedness of one's work group.
1 8 Others %100 378 Total Table 4: descriptive statistics for the rate of the use of the internet [TEXT NOT Skewedness range Maximum REPRODUCIBLE IN ASCII] -0.
Given the large variation in both AOA and AOB numbers, the GLM approach assumed a negative binomial distribution, using a log link function to address skewedness of the data.
The statistical analyzes were conducted in the following order: descriptive statistics, correlations between the subscales, internal consistencies of each subscale and the indices of skewedness and kurtosis, these being generally close to zero and <2.
Verification was carried out with the SAS package (SAS institute, 1990) and means, medians, variances, and skewedness of each trait, as well as sex ratio, phenotypic and genetic correlations, were validated.
Testing for skewedness using the Standardized Estimate of Skewedness demonstrated that the Modified Interpersonal Jealousy Scale scores were not skewed, z = 1.
In an effort to reduce the potential for skewedness due to differences in total student enrollment numbers and their corresponding differences in district resources, the survey instruments were segregated according to district size classification, from 1A (rural schools) to 5A (urban schools).
As illustrated, all measures meet standard criteria for univariate normality (Kline, 1998) with skewedness for all measures less than 3 and kurtosis for all measures less than 4.
Therefore, skewedness of this variable violated one assumption of the proposed statistical analyses.