To make "the most correctable solution"
In an experiment investigators apply treatments to experimental units (people, animals, plots of land, etc.) and then proceed to observe the effect of the treatments on the experimental units. n an observational study investigators observe subjects and measure variables of interest without assigning treatments to the subjects. The treatment that each subject receives is determined beyond the control of the investigator. For example, suppose we want to study the effect of smoking on lung capacity in women. Summary: 1.The main difference between observational study and experiments is in the way the observation is done. 2.In an experiment, the researcher will undertake some experiment and not just make observations. In observational study, the researcher simply makes an observation and arrives at a conclusion. 3.In observational study, no experiment is conducted. In this type of study the researcher relies more on data collected. 4.In an experiment, the researcher observes things through various studies. 5.There is human intervention in experiments whereas there is no human intervention in observational study. 6.Hawthorne studies are a good example for experiments. 7.The study to determine the relation between smoking and lung cancer is a typical example for observational study.
in vivo
In an observational study, a scientist will never draw attention to himself or herself. They will also not attempt to randomize a study.
Observational and experimental data are almost always recorded and analyzed in numerical form.
In Vivo
in an experiment, the researcher manipulates a variable
In an experiment, the researcher manipulates a variable.
An experiment allows for the researcher to manipulate variables and establish cause-and-effect relationships more effectively than an observational study. This control helps to minimize confounding variables and biases, making the results more reliable. Additionally, experiments often involve random assignment, which enhances the ability to draw conclusions about the relationships being studied.
cause and effect
An experiment can establish causation by manipulating variables and controlling for potential confounding factors, while an observational study can only show correlation. Experiments allow researchers to directly test hypotheses and determine the effects of specific interventions, providing stronger evidence for causal relationships. Additionally, experiments can help establish a cause-and-effect relationship with higher confidence due to their randomized controlled design.
designed experiment
change one or more factors and observe the effects
To make "the most correctable solution"
is it: observational learning ? imprinting ? landmarks ?
Observational classification is based on what you see and observe about the thing (maybe during an experiment) While theoretical classification is based on what you are being taught or what you have been taught or what you read about the thing.
The main possible advantage is that in an experiment, it is possible to control some of the variables so that it is easier to measure the effect of key variables. In observational studies, no such control is possible.