correlation
Chat with our AI personalities
Experimental research method yields the most definite evidence of cause-effect conclusions because it involves manipulating variables, controlling extraneous factors, and randomly assigning participants to conditions, allowing researchers to establish a causal relationship between variables.
It is important for researchers to know about the Hawthorne effect because it highlights the potential influence of subjects' awareness of being observed on study results. By being mindful of this effect, researchers can design studies to minimize its impact and draw more accurate conclusions from their research.
Cause and effect conclusions can be drawn from experimental studies, where researchers manipulate an independent variable to observe its effect on a dependent variable. Correlational studies, on the other hand, can only show associations between variables but not causation.
Experimental research methods, such as randomized controlled trials, are designed to establish cause and effect relationships by manipulating one or more variables and observing the effect on another variable. These methods involve random assignment of participants to different conditions to ensure that any observed effects can be attributed to the manipulation of the independent variable. Longitudinal studies that track changes over time can also provide evidence of cause and effect relationships, although they may be subject to confounding variables.
This type of research is characteristic of experimental research. In experimental research, the investigator will manipulate an independent variable to observe its effect on a dependent variable, allowing for causal relationships to be established.
establish causality between variables by manipulating one variable and measuring its effect on another variable. Observational research can observe and describe associations between variables but cannot determine cause-and-effect relationships.