Quantitative data is information about quantities; that is, information that can be measured and written down with numbers. Examples of quantitative data include surveys and questionnaires. Quantitative data can provide firm figures and reliable data, comparisons and detailed results by demographics, functions, locations and so on.
An overview of the differences between Quantitative and Qualitative Research
Credit: Credit: UniversityNow: Quantitative vs. Qualitative Research
The full and original article was published on Simply Psychology
Quantitative research gathers data in numerical form which can be put into categories, or in rank order, or measured in units of measurement. This type of data can be used to construct graphs and tables of raw data. Experiments typically yield quantitative data, as they are concerned with measuring things. However, other research methods, such as observations and questionnaires can produce both quantitative and qualitative information.
For example, a rating scale or closed questions on a questionnaire would generate quantitative data as these produce either numerical data or data that can be put into categories (e.g. “yes”, “no” answers). Whereas open-ended questions would generate qualitative information as they are a descriptive response.
Experimental methods limit the possible ways in which a research participant can react to and express appropriate social behavior. Findings are therefore likely to be context-bound and simply a reflection of the assumptions which the researcher brings to the investigation.
Credit: The full and original article was published on Simply Psychology
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