107k views
0 votes
1) Exploratory - provides ideas about a relatively vague problem.

2) Descriptive - generally involves trying to find the frequency that something occurs or the extent of a relationship between two factors.
3) Causal - tries to determine the extent to which the change in one factor changes another one.

1 Answer

0 votes

Final answer:

The question discusses exploratory, descriptive, and causal research methods in the context of scientific studies. Exploratory research helps outline vague problems, descriptive research seeks to quantify relationships between variables, and causal research aims to establish cause-and-effect. Each method is chosen based on the specific research question.

Step-by-step explanation:

The question pertains to different research methods used in scientific study: exploratory, descriptive, and causal research. Each type of research serves a unique purpose in gathering and analyzing data. Exploratory research is employed to provide ideas about a relatively vague problem. It is often used when one does not have enough information to formulate a research hypothesis. Descriptive research is used to discover the frequency of an occurrence or the extent of a relationship between two variables. It is typically used in cases where researchers are looking to provide a statistical analysis of data from a sample that can be generalized to a population. Finally, causal research is conducted to understand if one variable causes a change in another variable. This is usually tested through methods that can control variables to establish cause-and-effect relationships, such as during controlled experiments.

Each research method has its strengths and weaknesses and is chosen based on the nature of the research question being addressed. Descriptive and inferential statistics play important roles in both descriptive and hypothesis-based science. For example, regression analysis helps establish the strength and direction of causality between variables. However, it's crucial to note that correlation does not imply causation, and researchers must carefully consider confounding variables in their analyses.

User Bialecki
by
7.9k points