These 10 facts about space will blow your mind Qualitative and quantitative research 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 sciencesthe 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.
In this module, the four approaches to quantitative research are described and examples are provided.
List and explain the four approaches to quantitative research. Provide an example of each method. Describe how to identify the appropriate approach for a particular research problem. There are four main types of quantitative research designs: The differences between the four types primarily relates to the degree the researcher designs for control of the variables in the experiment.
Following is a brief description of each type of quantitative research design, as well as chart comparing and contrasting the approaches. A Descriptive Design seeks to describe the current status of a variable or phenomenon. The researcher does not begin with a hypothesis, but typically develops one after the data is collected.
Data collection is mostly observational in nature. A Correlational Design explores the relationship between variables using statistical analyses.
However, it does not look for cause and effect and therefore, is also mostly observational in terms of data collection. A Quasi-Experimental Design often referred to as Causal-Comparative seeks to establish a cause-effect relationship between two or more variables.
The researcher does not assign groups and does not manipulate the independent variable. Control groups are identified and exposed to the variable. Results are compared with results from groups not exposed to the variable.
Experimental Designs, often called true experimentation, use the scientific method to establish cause-effect relationship among a group of variables in a research study. Researchers make an effort to control for all variables except the one being manipulated the independent variable.
The effects of the independent variable on the dependent variable are collected and analyzed for a relationship. When deciding on the appropriate approach, the Decision Tree from Ebling Library may be helpful. The following video, Quantitative Research Designs, further describes the differences between quantitative research approaches and offers tips on how to decide on methodology.
Qualitative and quantitative approaches. Qualitative, quantitative, and mixed methods approaches. Research methods in education and psychology: Introduction to social research: Quantitative and qualitative approaches.Difference between Qualitative and Quantitative Research in data collection, online surveys, paper surveys, quantifiable research, and quantifiable data.
Become familiar with the answer regardbouddhiste.comtative Comparison questions always have the same answer choices, so get to know them, especially the last choice, "The relationship cannot be determined from the information given.".
Wesley College offers 30 majors in the liberal arts tradition including those in Nursing, Education, Business Administration, and Environmental Science. AQMEN is an established provider of training, capacity building and knowledge exchange activities in the area of statistical methods and data analysis.
Initially funded between by the Economic and Social Research Council, AQMEN is now based within the University of Edinburgh.
What is already known about the topic? • Mixed methods research, where quantitative and qualitative methods are combined, is increasingly recognized as valuable, because it can potentially capitalize on the respective strengths of quantitative and qualitative approaches. Prof. Xiangmin Jiao won $K research subcontract from Los Alamos National Laboratory for a project entitled “Coupling Approaches for Next Generation Architectures”.