Quantitative research involves the collection and analysis of numerical data to identify patterns, test hypotheses, and make predictions. It often employs statistical methods to derive conclusions that can be generalized to larger populations. In contrast, qualitative research focuses on understanding human behavior and experiences through non-numerical data, such as interviews, observations, and open-ended questions, aiming to gain deeper insights into motivations and meanings. Both approaches are valuable in research but serve different purposes and provide different types of information.
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Qualitative and quanitative are two types of variables.
What is an example of a qualitative research?
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quanitative qualitative
Qualitative and quanitative are two types of variables.
Qualitative comes from quality so you would for example observe features or the quality of the object. Quantitative comes from quantity so you describe the object using the metric system. ex. 5 inch. wide
A quantitative observation is one that is measurable and gives you a numeric, well defined measurement, e.g. the water bath increases in temperature by 3K every second. A qualitative observation is one in which there is no numeric measurement, e.g. the water bath gets hotter with time.
An observation is quantitative if it has something to do with the amount of the substance or measurements.
In an experiment, variables are determined by the factors that can be manipulated (independent variables), measured (dependent variables), or controlled (controlled variables) to assess their effects on the outcome. Quantitative observations involve numerical data that can be measured, such as temperature or weight, while qualitative observations focus on descriptive characteristics, like color or texture. Together, these observations help researchers analyze relationships and draw conclusions from the experimental results.
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