Yes.
descriptive statistics
Qualitative research involves analysis of data such as words (e.g., from interviews), pictures (e.g., video), or objects (e.g., an artifact). Quantitative research involves analysis of numerical data.
Quantitative research is empirical research that uses statistics, numerical data, and mathematics. It is used to answer problems that are not case specific and have a broader reach.
Quantitative research are methodologies and reporting of numerical values, statistics and relationships to describe and model phenomena. Quantitative and qualitative procedures serve as the aid and foundation to understanding and executing the scientific method.
Quantitative research is often reported in charts and tables, because it involves many numbers and statistics.
This questions references the two primary approaches to academic methodology. Qualitative research is highly descriptive, whereas quantitative methods rely on statistics, measurements, and mathematical calculations.
Qualitative research is exploratory research used to understand things. Quantitative research is essentially an investigation using statistical or mathematical methods to understand things.
Yes.
When the research objective is quite clear, the research being performed is of quantitative type and the sample being used is quite big then conclusive descriptive research design is used.
The opposite of ethnography could be considered as "quantitative research" or "experimentation." Ethnography involves qualitative methods focused on describing and interpreting cultures, while quantitative research uses numerical data and statistical analysis to draw conclusions. Experimentation involves controlled studies to test hypotheses and establish causation, which differs from the observational and descriptive nature of ethnography.
Descriptive research is also called Statistical Research. The main goal of this type of research is to describe the data and characteristics about what is being studied. The idea behind this type of research is to study frequencies, averages, and other statistical calculations. Although this research is highly accurate, it does not gather the causes behind a situation. Descriptive research is mainly done when a researcher wants to gain a better understanding of a topic for example, a frozen ready meals company learns that there is a growing demand for fresh ready meals but doesnt know much about the area of fresh food and so has to carry out research in order to gain a better understanding. It is quantitative and uses surveys and panels and also the use of probability sampling. Descriptive research is the exploration of the existing certain phenomena. The details of the facts wont be known. The existing phenomenas facts are not known to the persons.
descriptive statistics
The advantage of quantitative research is that you will get more accurate results when comparing results using qualitative research. This type of research uses statistics and mathematical data to learn new things about something.
Qualitative research involves analysis of data such as words (e.g., from interviews), pictures (e.g., video), or objects (e.g., an artifact). Quantitative research involves analysis of numerical data.
There are two main methods of research. These are quantitative and qualitative methodologies. Quantitative methods are based on numbers. that is statistics, measurements, values and calculations. Qualitative observes behaviors, visual characteristics and behaviors of what is/are being investigated. For example the Doppler Shift has qualitative characteristics of color (blue versus red shift). Quantitative aspects of the Doppler Shift of space objects would be their velocity, age, and compositions by percent.
Quantitative research is based on numerical measurements, such as statistics, percentages, and other numerical data. This approach involves collecting and analyzing data to draw conclusions and make predictions about a particular phenomenon. Quantitative research often utilizes statistical tools and methods to examine relationships between variables and test hypotheses.