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The theory and mathematical basis for correlational analysis were developed by Sir Francis Galton and Karl Pearson in the late 19th century (Hopkins & Glass 1978, p. 111).
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Confident that appropriate assumptions for correlational analysis were met, a Pearson correlation between expert and non-expert ratings was conducted to assess the relationship between two group ratings.
This is important in path analysis, since you implicitly treat the variable as if it were continuous for correlational analysis.
For correlational analysis, there was a strong relationship between the BrdU and Dcx cell-count (I ).
The need to discriminate across the full severity range is particularly important where the scale is used for correlational analysis.
For correlational analysis, only the volume of the lesion core was significantly associated with motor impairment scores (r = -0.35, p = 0.025).
Since items referring to sad reactions to the different sounds did not form one factor and the bipolar items do not allow for correlational analysis, separate analysis was performed after dichotomising the scores on sad reaction items.
For the correlational analysis, affective bias scores from the off-magnet affective priming task were used as covariates in a simple regression (e.g., cocaine vs. neutral contrast).
For instance, using correlational analysis, Grabner et al. (2007) reported a positive correlation between mathematical competence measured outside of the scanner and brain activation in the left angular gyrus during a simple addition task.
MJP conducted the real-time PCRs, the correlational analysis for miRNA vs. mRNAs, the KEGG pathway analysis and drafted the manuscript.
A correlational analysis for the occurrence of metastases in the ARM nodes was conducted in relation to the following variables: age, neoadjuvant chemotherapy use, primary tumor histologic grade, and the axilla's pathologic stage.
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