Sentence examples for correlation between sections from inspiring English sources

The correlation between Sections 1 and 2 ranged from 0.42 to 0.51 with a median of 0.48; the correlation between Sections 1 and 3 from 0.49 to 0.55 with a median of 0.51; and the correlation between Sections 2 and 3 from 0.23 to 0.27 with a median of 0.25.

For the 2014 data, the reliability index calculated by Cronbach's alpha was 0.84 in Section 1 and 0.88 in Section 3. The Pearson correlation between Sections 1 and 2 was 0.42; between Sections 1 and 3 was 0.51; and between Sections 2 and 3 was 0.24.

However, weathering appears to affect the 40K data by removing 40K, thus reducing correlation potential, although χ does not appear to suffer as badly in more weathered sections and good correlations between sections remain.

Moderate correlations between sections of a scenario suggest a possible halo effect.

Pearson correlations between sections (both within and across scenarios) were calculated.

Correlations between sections across the two scenarios ranged from 0.15 to 0.65.

After the TOEFL revision, Pike (1979) conducted a large study on vocabulary tests in context, wherein he examined the correlation coefficients between sections of TOEFL.

Response rates were 224/431 (52%) for Sections A, B, C, and F, and 368/504 (73%) for Sections D, E, and F. Pearson's correlation coefficient between Sections B and C and the first half NCSRSQ was -0.23 (p = 0.002, N = 175), and between Sections D and E and the second half NCSRSQ was -0.46 (p < 0.001, N = 201).

Pearson correlations between section scores are computed to establish any interdependence of the test components.

Correlation between paired sections was tested with paired samples T-test.

The correlation between frozen section and final pathology was calculated by false negative rate, false positive rate, specificity, positive predictive value and negative predictive value.