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Split-Half Correlation

A split-half correlation is a statistical technique used to assess the internal consistency of a multiple-item measure. This involves dividing the measure's items into two distinct halves, calculating a total score for each half, and then finding the correlation between those two sets of scores. For example, comparing the even- and odd-numbered items of the Rosenberg Self-Esteem Scale might yield a strong positive correlation, such as +0.88+0.88, demonstrating high internal consistency. In general, a correlation coefficient of +0.80+0.80 or higher is considered indicative of good internal consistency. A strong correlation indicates that the measure is consistently assessing the target construct.

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Updated 2026-05-03

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Research Methods in Psychology - 4th American Edition @ KPU