It can be used for either, but it is most commonly used for quantitive.
Bar graphs are used when graphing a qualitative independent variable, but a line graph is used when the independent variable is quantitative. Also when you are comparing quantity of objects(bar graph)
qualitative because they are non-numeric.
In social sciences the methods available for collecting data can be classified into two categories: qualitative and quantitative. - Qualitative research - generally used for exploratory purposes - examples include focus groups, in-depth interviews, and projective techniques - Quantitative research - generally used to draw conclusions - examples include surveys and questionnaires You can also use experiments and observation but the real answer is. 1. Use surveys, observation, and focus groups
Any kind of graph can be used for discrete data.
There are a number of ways to describe a research design. For example, a study may be either quantitative or qualitative, depending on the type of data that is collected and the degree of mathematical rigor to which it is subjected. A qualitative study generally consists of literature surveys and experience surveys. A literature survey is simply a search through available journals, newspapers, magazines, documents and other publications. This is usually a good place to begin your research. After all, if someone has already researched your question then it doesn't make sense to reinvent the wheel. The experience survey is comprised of interviews of people who are experienced in the area that you are researching. These types of interviews are generally informal and unstructured, but researchers often develop a set of questions to use as a guide. It is to your advantage to keep the interviews unstructured in order to allow the expert to elaborate their ideas and opinions. It's likely that this type of interview will generate more questions than answers. Quantitative studies provide numerical data that is used to describe your research topic. If you are conducting marketing research, you might be asked to describe characteristics of typical users of a product. Some quantitative data that you might consider collecting include age, sex and level of education. Other examples of quantitative data include the percentage of people who can recognize your logo. For other examples of quantitative research data that is used in marketing, please visit http://www.themarketinganalysts.com/en/pages/analytical-predictive-marketing-research.
Any kind of graph can be used for quantitative data.
Quantitative data may be used to make a graph or table. Qualitative is easier to explain with numbers or a written description.
Bar graphs are used when graphing a qualitative independent variable, but a line graph is used when the independent variable is quantitative. Also when you are comparing quantity of objects(bar graph)
Bar graphs are used when graphing a qualitative independent variable, but a line graph is used when the independent variable is quantitative. Also when you are comparing quantity of objects(bar graph)
Any data consisting of two sets of quantitative measures on a set of objects. Although the horizontal axis is often used for categories, the graph is then not a Cartesian graph.Any data consisting of two sets of quantitative measures on a set of objects. Although the horizontal axis is often used for categories, the graph is then not a Cartesian graph.Any data consisting of two sets of quantitative measures on a set of objects. Although the horizontal axis is often used for categories, the graph is then not a Cartesian graph.Any data consisting of two sets of quantitative measures on a set of objects. Although the horizontal axis is often used for categories, the graph is then not a Cartesian graph.
A qualitative observation has to do with things you can't count, "The fish has black scales" is a qualitative observation. A quantitative observation has to do with things you can count, "The fish has 125 scales" is a quantitative observation. You can combine these two, an example would be "The fish has 125 black scales."
quantitative research and qualitative research
qualitative because they are non-numeric.
Quantitative research focuses on numerical data and statistical analysis to generalize findings to a larger population, while qualitative research concentrates on understanding human behavior and experiences through non-numerical data such as interviews, observations, and case studies. Quantitative research aims to measure the relationship between variables, while qualitative research seeks to explore phenomena in-depth to gain a deeper understanding.
When you are studying qualitative data for example, colour of hair, gender, or any other variable for which there is no sensible hierarchy or ordering.
No, sensory information is used in qualitative investigations. Quantitative investigations involve numbers.
Quantitative research entails collecting and generating numerical data while qualitative research entails the generation of non-numerical data. Survey, questionnaires and measurements using various tools are common in quantitative research. Qualitative research often relies on verbal and theoretical data rather than measurements. Both research designs are used in the analysis and interpretation of a research topic.