File Name: strength and weakness of qualitative and quantitative research .zip
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Quantitative research is the process of gathering observable data to answer a research question using statistical , computational, or mathematical techniques. It is often seen as more accurate or valuable than qualitative research, which focuses on gathering non-numerical data. Qualitative research looks at opinions, concepts, characteristics, and descriptions. Quantitative research looks at measurable, numerical relationships. Both kinds of research have their advantages and disadvantages.
Qualitative and quantitative are widely used research methods that act as powerful sources of insight for marketers. Generally speaking, qualitative research explores what people think, feel and do while quantitative gives a measure of how many people think, feel or behave in a certain way. One is typically based on the opinions and thoughts of a small sample; the other is normally based on the reported behaviours of a much larger and representative sample. There are a number of pros and cons for using both methods. Qualitative research generally draws from sources such as one-on-one interviews, focus groups and discussion forums. Quantitative research can call on surveys or analytics to quantify consumer behaviors, perceptions, attitudes and interests, giving you the hard numbers needed to back your ideas or theories.
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Qualitative research has the potential to complement quantitative data by providing depth and perspective to statistics. At its core, qualitative research data stems from the human experience. Qualitative research can change on the fly, based on reactions and responses by the participants as they come in.
Quantitative method Quantitive data are pieces of information that can be counted and which are usually gathered by surveys from large numbers of respondents randomly selected for inclusion. Secondary data such as census data, government statistics, health system metrics, etc. Quantitative data is analysed using statistical methods.
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