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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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