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Quantitative Data

Last updated: September 15, 2019

What Does Quantitative Data Mean?

Quantitative data is a type of data that deals with measurable information. This means that its value or state can be numerically expressed. All data that is quantifiable, verifiable, and amenable to statistical manipulation classifies as quantitative data. This type of data defines the properties and/or qualities of objects, substances, and equipment.

Quantitative data is used in data analysis for evaluation purposes, as it provides quantifiable and easy-to-understand results. It can be analyzed in a variety of different ways.

Safeopedia Explains Quantitative Data

Quantitative data represents the measure of values or counts expressed as numbers. It gathers and assesses information about numeric variables. Its purpose is to explain, predict, and/or control outcomes through focused collection of numerical data. Quantitative data is objective, focused, and outcome-oriented.

The level of measurement associated with the quantitative data marks the beginning of the Quantitative Data Analysis. The level of measurement has an impact on the type of analysis, and there are four levels of measurement: nominal, ordinal, interval, and ratio. Once the levels of measurement have been identified, quantitative data analysis procedures can be used.

The types of quantitative methods are limited due to sample-size restrictions. The several procedures that are available include data tabulation, descriptive data, data disaggregation, and moderate and advanced analytical methods.


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