Importantly, two studies [21]
calculate higher correlations between estimates that use different models than between estimates that use different exams.
[18] Many studies [19] have
calculated high correlations (mostly greater than 0.9) between estimates from models that control only for prior student test scores (such as SAS EVAAS), [20] control for student background (such as DC's IMPACT), and control for average classroom characteristics (such as Pittsburgh's system).
Not exact matches
It is noteworthy that the compounds with the lowest
calculated binding free energies exhibit a
high structural similarity between them [MolPort -016-359-762 (labeled as RIPK2 inhibitor 1 in subsequent figures, 3 - benzamido -4-methyl-N -[3 -(1 - methyl - 1H - imidazol - 2yl) phenyl] benzamide), MolPort -015-752-252, MolPort -015-604-588, and MolPort -016-412-727) and a
high correlation with pharmacophoric points of ponatinib.
[9] The
highest correlation coefficients were for math and reading teachers in Houston — .59 for math and.50 for reading — where value - added was
calculated by pooling up to eight years of data for a teacher.
Based on the very limited information I've been able to find (namely, comparing the
correlation figures in the Vanguard paper I linked to above to
correlation figures I
calculated for
high - yield bonds), it looks like:
To start our exploration, we
calculated correlation between each feature and
higher monthly rent.
[Response: If I
calculate the sample auto -
correlation in a «trend + noise» it's
higher than if I
calculate it just from «noise».
Soon had also
calculated the impact of the AO on the Frobisher Bay data and, unsurprisingly, used the seasonal
correlation that had the
highest correlation.
Interrater reliabilities were
calculated using bivariate
correlations which ranged from r =.58 to r =.78 (M =.70; SD =.07), indicating
high overall interrater reliability.
To evaluate the construct validity of the FEEL - KJ, we first
calculated correlations between the FEEL - KJ
higher - order scales (Adaptive and Maladaptive Emotion Regulation) and the CERQ
higher - order scales (Adaptive and Non-Adaptive Emotion Regulation).
External validity of the FEEL - KJ was assessed by
calculating correlations between the FEEL - KJ
higher - order scales and four different indicators of psychological well - being and distress, namely general psychopathology (CBCL), depressive symptoms (CDI), eating disorder symptoms (EDI - II), and self - perception (SPPA).