what is the difference quantitative and qualitative data?
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Quantitative data are measures of values or counts and are expressed as numbers. Quantitative data are data about numeric variables (e.g. how many; how much; or how often). Qualitative data are measures of 'types' and may be represented by a name, symbol, or a number code.
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Quantitative Data. Qualitative data is descriptive data like color, taste, texture, smell, etc. Quantitative data, on the other hand, is data that is measurable.
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Quantitative decisions are mostly based on statistical analysis of collected data whereas qualitative decisions are based on many algorithms like type and quality of data, factors that influence collected data, risk assessments etc.
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This quantitative data tends to be more concrete and precise (e.g. traffic, number of clicks, behaviour). It therefore involves numerical results. Alternatively, the qualitative data is more descriptive and explanatory (e.g. open comments, suggestions, complaints).
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Qualitative data is a type of data that describes information. ... are however regarded as qualitative data because they are categorical and unique to one individual. Examples of qualitative data include sex (male or female), name, state of origin, citizenship, etc.
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Qualitative data is defined as the data that approximates and characterizes. ... This data type is non-numerical in nature. This type of data is collected through methods of observations, one-to-one interviews, conducting focus groups, and similar methods.
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As we can say that quantitative research is the process of collecting, analyzing, interpreting, and writing the results of a study, while qualitative research is the approach to data collection, analysis, and report writing differing from the traditional, quantitative approaches.
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Qualitative data consist of words and narratives. The analysis of qualitative data can come in many forms including highlighting key words, extracting themes, and elaborating on concepts. Quantitative data are made of numerical information, the analysis of which involves statistical techniques.
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Quantitative data is numerical data, whereas qualitative data has no numbers attached to it. The gender of respondents in a study, dividing light bulbs into categories like "very bright," "somewhat bright" and "dim," or the type of pizza a customer prefers are all examples of qualitative data.
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Qualitative Research is primarily exploratory research. It is used to gain an understanding of underlying reasons, opinions, and motivations. ... Quantitative Research is used to quantify the problem by way of generating numerical data or data that can be transformed into useable statistics.
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Qualitative data analysis is based on classification of objects (participants) according to properties and attributes whereas quantitative analysis is based on classification of data based on computable values. Qualitative analysis is subjective whereas quantitative is objective.
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Let's differentiate between the two. Qualitative analysis fundamentally means to measure something by its quality rather than quantity. When we do qualitative analysis, we are exploring how we describe something. ... When we do quantitative work, we work with numbers, statistics, formulae and data.
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Further, both methods require data collection and analysis; however, these also differ; wherein, qualitative data collection involves interviews, observation, focus groups, and artifacts for open-ended data, while quantitative primarily involves surveys and secondary closed-ended data.
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Quantitative data is defined as the value of data in the form of counts or numbers where each data-set has an unique numerical value associated with it. ... Quantitative data is usually collected for statistical analysis using surveys, polls or questionnaires sent across to a specific section of a population.
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quantitative research. When collecting and analyzing data, quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings. Both are important for gaining different kinds of knowledge. Quantitative research Quantitative research is expressed in numbers and graphs.
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Let's differentiate between the two. Qualitative analysis fundamentally means to measure something by its quality rather than quantity. ... When we do quantitative analysis, we are exploring facts, measures, numbers and percentages. When we do quantitative work, we work with numbers, statistics, formulae and data.
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By Saul McLeod, updated 2019. Download Article as PDF. There exists a fundamental distinction between two types of data: Quantitative data is information about quantities, and therefore numbers, and qualitative data is descriptive, and regards phenomenon which can be observed but not measured, such as language.