Sentence examples for factor validity from inspiring English sources
An ANOVA with repeated measures on the two-level factor VALIDITY (valid or invalid), the two-level factor S1 STIMULUS SIDE (right or left index finger), and the two-level factor S2 stimulus HEIGHT (upper or lower screen half) was performed on both, error rates and reaction times.
To test for EEG session-dependent functional cerebral asymmetry (FCA), we calculated a 2×2 ANOVA with factor validity (valid, invalid) and hemifield (left, right) separately for the first, second and third EEG session.
The Chinese version of the BPI-01 showed good reliability (internal consistency) and good factor validity tested by confirmatory factorial analysis.
Regarding factor validity, the model that best represents the internal structure of the CYVIC has four factors (Impersonation, Visual-Sexual Cybervictimization, Written-Verbal Cybervictimization, and Online Exclusion) and four additional indicators of Visual Cybervictimization-Teasing/Happy slapping.
In experiment II, the factor TASK CONDITION was replaced by a three-level factor VALIDITY CONDITION (50 %, 75 %, 25.
Error rates and RTs were analyzed analogously to experiment I. Instead of the factor TASK CONDITION in experiment I the ANOVA involved a three-level factor VALIDITY CONDITION (50 %, 75 %, 25validity).
To calculate the validity effect and the right hemifield disadvantage, RTs for correct responses for each cycle phase were subjected to a 2×2 ANOVA (Greenhouse-Geisser) with factors validity (valid, invalid) and visual hemifield (left, right).
Discriminant factor-based validity is indicated for all factors by AVE square roots exceeding the factor intercorrelations. Factor scores are moderately intercorrelated.
In the same sense, the meaning of the factor (content validity) stays intact even if some of the indicators are removed [24].
to assess factor structure, validity and reliability of the Birth Satisfaction Scale (BSS) and to develop a short-form version of the tool.
Factor structure validity was assessed by extracting factors using exploratory factor analysis (EFA) with principal components method.
