Quantitative research data analysis methods

Many mistakenly think the two terms can be used interchangeably. So what is the difference between Qualitative Research and Quantitative Research? Qualitative Research Qualitative Research is primarily exploratory research. It is used to gain an understanding of underlying reasons, opinions, and motivations.

Quantitative research data analysis methods

An Overview of Quantitative Research This modules provides a basic overview of quantitative research, including its key characteristics and advantages.

Describe the uses of quantitative research design. Provide examples of when quantitative research methodology should be used.

Quantitative Data Analysis Quantitative research can be purely descriptive techniques or causal impact analysis and can be historical or prospective. Most quantitative research is descriptive and historical, such as describing the earnings of male and female workers over the past 20 years, or the proportion of children of different races who. In quantitative data analysis you are expected to turn raw numbers into meaningful data through the application of rational and critical thinking. Quantitative data analysis may include the calculation of frequencies of variables and differences between variables. A quantitative approach is usually. 6 Methods of data collection and analysis 2 Introduction The quality and utility of monitoring, evaluation and research in our projects and programmes fundamentally relies on .

Discuss the strengths and weaknesses of quantitative research. Once a researcher has written the research question, the next step is to determine the appropriate research methodology necessary to study the question.

The three main types of research design methods are qualitative, quantitative and mixed methods. The focus of this set of modules is qualitative research. However, the following introductory video, A Brief Introduction to Research Design, offers a brief explanation of each method and a comparison.

Quantitative methods are used to examine the relationship between variables with the primary goal being to analyze and represent that relationship mathematically through statistical analysis. This is the type of research approach most commonly used in scientific research problems. Following is a list of characteristics and advantages of using quantitative methods: The data collected is numeric, allowing for collection of data from a large sample size.

Statistical analysis allows for greater objectivity when reviewing results and therefore, results are independent of the researcher. Numerical results can be displayed in graphs, charts, tables and other formats that allow for better interpretation. Data analysis is less time-consuming and can often be done using statistical software.

Results can be generalized if the data are based on random samples and the sample size was sufficient. Data collection methods can be relatively quick, depending on the type of data being collected.

Numerical quantitative data may be viewed as more credible and reliable, especially to policy makers, decision makers, and administrators. There are a variety of quantitative methods and sampling techniques that will be discussed in detail in the other modules in this unit. However, following are examples of research questions where quantitative methods may be appropriately applied: How often do college students between the ages of access Facebook?

What is the difference in the number of calories consumed between male and female high school students? What percentage of married couples seek couples counseling?

How many organized sports activities has the average 10 year old child competed in? The collection of numerical data through quantitative research methods lends itself well to large variety of research questions. The following modules in this series will explore when to choose quantitative methods, how to write a good research question, types of quantitative methods, data analysis, ethics and many other topics that will lead to better understanding of quantitative research.Quantitative research using statistical methods starts with the collection of data, based on the hypothesis or theory.

Usually a big sample of data is collected – this would require verification, validation and recording before the analysis can take place. Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational alphabetnyc.comtative research focuses on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon.

The following modules in this series will explore when to choose quantitative methods, how to write a good research question, types of quantitative methods, data analysis, ethics and many other topics that will lead to better understanding of quantitative research.

Quantitative Data Analysis Quantitative research can be purely descriptive techniques or causal impact analysis and can be historical or prospective.

Quantitative research data analysis methods

Most quantitative research is descriptive and historical, such as describing the earnings of male and female workers over the past 20 years, or the proportion of children of different races who. Quantitative Data Analysis Techniques for Data-Driven Marketing Posted by Jiafeng Li on April 12, in Market Research 10 Comments Hard data means nothing to marketers without the proper tools to interpret and analyze that data.

From here, the quantitative research method can begin by using various methods to determine why faults occurred and ways to fix them. Qualitative research shows what is wrong, where quantitative methods reveal ways to improve products based on end-user input; or numerical data .

Analyze Quantitative Data « Pell Institute