What is external validity?

External validity is one of the many types of validity that scientists seek to maximize accuracy and minimize the shortcomings of their study or experiment. External validity is the term scientists use scientists to describe how it is likely that the results that have obtained from the sample group would apply to the entire population in different situations and times. Scientists seek to achieve a large amount of external validity for each experiment, because if the results of the experiment do not apply to the population outside the group group, the experiment actually found no useful results that could be used to predict future results.

6Students students. It may seem to be a good idea to use all data from students in the class of psychology or even all students involved in the psychological department, to get a quick and easy sample for testing. But this would damage the outsideThe study validity, because it assumes a few things that may not apply to the normal population. Do students of psychology have the same work and study habits as students in other societies? Do students in this particular school have the same study habits as students from schools across the country or around the world?

Unfortunately, because a large number of experiments take place in the laboratory environment instead of in the daily life of subjects, the external validity may be somewhat difficult. Scientists conducting a study or experiment usually summarize what they consider to be "threats for external validity" in their written report on the experiment in an effort to explain the communal spoil and what can be improved in the future to gain a higher level of precision prediction. For example, if the subjects of the study are said to perform the task under the supervision of scientists, they could behave and work much differently than if they were at home with the family and other influences that surround them. If the study does not take into account, the external validity of defects isThe results and results are unlikely to predict future results because they were found under special circumstances. Scientists should notify this and try to improve future studies to minimize this difference.