MANAGEMENT

Detailed explanation-1: -Quantitative research seeks to quantify a phenomenon. It’s more structured, objective, and helps reduce researcher biases. It gets at the what of a person’s behavior by answering questions like how many, how often, and to what extent? Quantitative data is numerical.

Detailed explanation-2: -There are three types of quantitative data, and each carries valuable information: discrete, continuous, and interval (as compared to ratio) data.

Detailed explanation-3: -Quantitative research can help you answer questions such as “how many” and “how often” and is invaluable when putting together a business case before launching a new product or service, or proposing changes to existing ones.

Detailed explanation-4: -Data may be grouped into four main types based on methods for collection: observational, experimental, simulation, and derived. The type of research data you collect may affect the way you manage that data.

Detailed explanation-5: -There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research. attempts to establish cause-effect relationships among the variables. These types of design are very similar to true experiments, but with some key differences.