Why you think a change in one measure

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Azucar, Marengo, and Settanni found that the meta-analytic correlations of "digital footprints" and each of the Big Five personality dimensions were fairly robust at +0.355 plus/minus 0.055. Select one of the Big Five dimensions and one type of digital footprint and describe how and why these two measures are correlated.

  • Describing "how" is putting into words what the statistic of the positive correlation between the two measures you select means. For example, the correlation between height and weight in pre-teen girls is +.70. Describing how these two variables (height and weight) are correlated means explaining what the plus sign and the number's size (.70) mean.
  • Describing "why" means explaining why you think a change in one measure results in a difference in the other measure. In our example of height and weight, "why" would involve explaining why, as height increases, weight also increases.

Reference no: EM133363911

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