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Validity

Metric & MeasurementData, Privacy & MeasurementGeneral Sensitivity

The degree to which an assessment measures what it is intended to measure.

What This Really Means

Validity refers to how well a measure captures what it intends to assess.

A valid result is meaningful and relevant, not just precise or consistent.

Examples

Survey questions accurately reflecting communication patterns

results aligning with real-world experiences over time.

Common Misunderstandings

Tap each myth to reveal the reality

Reality: Validity describes the degree to which an assessment measures what it is intended to measure, so it doesn’t mean that valid results are perfectly precise.

Reality: Validity does not mean results never change, and it refers to the degree to which an assessment measures what it is intended to measure.

Reality: More accurately, Validity refers to the degree to which an assessment measures what it is intended to measure, and validity and reliability are the same doesn’t follow from that.

Tags

#measurement#research#data-privacy-measurement#metric-measurement

Inside LoveIQ

We identify patterns related to Validity by analyzing responses in our assessment modules, helping you understand your unique relationship dynamics.

Sample visualization of a gap metric.

“You don't need to label yourself. These terms help describe patterns — not define you.”

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