Want this question answered?
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 results
Validity is the extent to which a test measures what it claims to measure. It is vital for a test to be valid in order for the results to be accurately applied and interpreted.
Limitations in any experiment depends on the topic of research. If the experiment is related to weather, some uncertainties in the data related to weather condition can be considered as limitation. Human error in any experiment also cannot be neglected.
My guess: "consistency" or "repeatability"
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 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.
Validity in a research project refers to the extent to which the study accurately measures what it is intended to measure. It is about the accuracy and truthfulness of the results obtained from the research. There are different types of validity, such as internal validity (concerned with the study's design and methodology) and external validity (related to the generalizability of the findings to other populations or settings).
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.
Causal validity is also referred to as internal validity. It refers to how well experiments are done and what we can infer from those results.
validity is whether the results are valid so the data has no mistakes of as such in it whereas reliability is the dependability; when the results you have are accurate and are of enough quality.
the results
Validity of a test refers to the ability of test to test what it is supposed to test
the results
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.
To generalize results from the sample population to the target population.
is the extent to which the results of study apply to people not in it