"A threat to external validity is an explanation of how you might be wrong in making a generalization."[4] Generally, generalizability is limited when the cause (i.e. the independent variable) depends on other factors; therefore, all threats to external validity interact with the independent variable.
The ability to apply findings to other populations
How else would you determine the validity of the hypothesis.
Internal validity has to do with the accuracy of the results. Results could be inaccurate if samples are not selected randomly. External validity has to do with the generalizability of the findings to the population. If the sample selected is only Hispanics under the age of 25, then it would be hard to generalize the results to the entire US population.
The scientific method uses a hypothesis or hypothetical explanation, which is tested to determine its validity.
If you gain internal validity do you lose external validity
examples of internal and external validity
No it is not easier because of the external flow.
The difference between internal and external validity is in their nature. Internal validity indicates if a study depicts relation between two variables. External validity on the other hand generalizes the study of the variables.
Yes. Internal validity is whether or not the experiment is studying what it intends to. External validity is whether or not the study can be generalised outside of the study. For example, if you had a perfect experiment set up, that measures something perfectly, then it will have internal validity. You haven't, however, shown that you would get the same results in different cultures, or in different time periods. Thus the experiment may not have external validity.
Temporal validity is a type of external validity that refers to whether findings from a study hold true over time.
"A threat to external validity is an explanation of how you might be wrong in making a generalization."[4] Generally, generalizability is limited when the cause (i.e. the independent variable) depends on other factors; therefore, all threats to external validity interact with the independent variable.
The main threats to validity are bias, confounding and chance. But keep in mind the internal and the external validity. Internal validity is the extent to which systematic error is minimised during the stages of data collection. where as the external validity encompasses the extent to which the results of the trials provide a correct basis for generalisation.
External validity is the extent that results from a study generalize to other people, places, and situations--how well the findings stand outside the study and the extent to which they can be replicated. The internal validity is that extent to which the study's design enables it to measure and study what it intends to study.
Internal validity is the degree to which the results are attributable to the independent variable and not some other explanations.External validity is the extent to which the results of a study can be generalized.
is the extent to which the results of study apply to people not in it
Applying findings from an experiment to the real world involves understanding the implications and limitations of the study, and assessing how the results can be adapted and implemented in practical settings. This process requires critical thinking, problem-solving skills, and the ability to draw connections between theory and real-world applications. Communication of findings and their potential impact is also crucial for successful application.