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Explain the difference between qualitative and quantitative information?
Wiki User
∙ 13y ago
Qualitative and quantitative researches are the two main schools of research, and although they are often used in tandem, the benefits and disadvantages of each are hotly debated. Particularly in the Social Sciences, the merits of both qualitative and quantitative research are fought over, with intense views held on both sides of the argument. It is generally agreed upon, however, that there are some phases of research where one or the other is clearly more useful than the other and so few people completely dismiss either.
Wiki User
∙ 13y ago
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What is diffirence between quatilative?
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What are examples of data a qualitative observations b theories c quantitative observations d measurements?
Data is the raw material used for collating information to represent the qualitative or quantitative attributes of a variable or variables. Valid data can be gathered using carefully controlled observations or measurements. Qualitative observations are observations which can not be recorded numerically, they are qualities rather than quantities. Examples of qualitative observations are colour, type of material or taste. These observations may form the basis of information representing the attributes of a variable and as such they are data. Some may argue that qualitative observations are not always data as they may be observations of opinion rather than fact, I disagree with this argument. The true definition of a theory is a well-substantiated explanation or a well organized system of accepted knowledge that applies in a variety of circumstances to explain a specific set of phenomena. A theory may also be defined as an unproven conjecture. The use of the the word theory to mean a statement of opinion which cannot be substantiated is technically a colloquialism and should be disregarded. Data are often viewed as the lowest level of abstraction from which information and knowledge are derived. As a theory is a system of accepted knowledge and knowledge is derived from data this suggests that a theory can not be data. Quantitative observations are observations which can be recorded numerically, they are quantities rather than qualities, such as shoe size, time, length or number of people. As with quantitative data, these observations may form the basis of information representing the attributes of a variable and as such they are data. Measurement of any quantity such as length, speed or pressure is the name given the process of estimating or determining the magnitude of a quantity or variable. Measurements by definition are representations of the attributes of a variable and as such they are data. Therefore a, c and d are data and b is not. Theories are not an example of data.
What are the differences between qualitative and quantitative research methods?
Qualitative research focuses on exploring attitudes, behaviors, and experiences through methods like interviews and observations to gain insights into complex phenomena. Quantitative research, on the other hand, uses numerical data and statistical analysis to measure variables and relationships in a more structured and objective manner. Qualitative research is often used to generate hypotheses and explore new areas, while quantitative research tests hypotheses and establishes patterns through numerical data analysis.
What is the quantitative data?
Quantitative research is defined as an organized analysis of occurrences by collecting measurable data and applying statistical, mathematical, and computational methodologies. It is the process of gathering information from existing and potential customers by sampling methods and the distribution of online surveys, questionnaires, online polls, and so on. The results of these polls or surveys are represented numerically. Quantitative research is dependent on the creation of a Hypothesis followed by an accurate analysis of the statistics in order to understand and explain the research findings. It focuses more on the quantity of things and their statistical patterns. Using the number comes to analysis so as to come to a conclusion. After gaining a thorough understanding of these figures, it is possible to forecast the future of a product or service and make modifications as needed.
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Political scientists use a variety of social science methods. Broadly, there are three categories: qualitative, quantitative, and philosophical methods. The first two are primarily analytical and they focus on observing, describing, or predicting a political process. Some examples of qualitative and quantitative methods include surveys, factor analysis, statistical inference, and mathematical modelling. In philosophical methods, the political scientists tries to construct an explanation of a political process from theory instead of primarily data.
