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Test-retest correlation is the statistical coefficient calculated between two sets of scores from a measure administered at different times. A test-retest correlation of $$+.80$$ or greater is generally considered to indicate good reliability for constructs expected to be stable. For example, the Rosenberg Self-Esteem Scale demonstrated a highly reliable test-retest correlation of $$+.95$$ when administered to students twice, a week apart.

Test-Retest Correlation

A researcher administers a newly developed questionnaire measuring a stable personality trait to a group of participants on two separate occasions, a week apart. They then calculate the statistical coefficient between the two sets of scores to evaluate consistency over time. What is this coefficient called, and what value would generally indicate that the questionnaire has good reliability?

If a researcher calculates a test-retest correlation of +.85 for a questionnaire measuring a stable trait, this statistical coefficient indicates that the measurement tool has demonstrated good reliability across different administrations.

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