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Internal And External Validity.

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1-Compare and Contrast Internal and External Validity
The internal validity depends over the accuracy of the results. Hence, if the sample does not select by random
collection method, then it could affect the internal validity because internal validity depends over the data
collection method. In the same manner, the external validity includes the concepts of generalization to know the
impacts of the results for the larger population (Herek, 2012). Hence, it also depends over the data collection
method as like internal validity.
There are some differences between the external validity and internal validity. The internal validity generally
makes some dealing with the research study without the help of other research elements. On the other side,
external validity looks over that situation, when one could take the outcomes of the research study and simplify it
in a broader perspective. The generalization also works with the help of external validity (Kimmel, 2007). It could
be better understood with an example. When researchers conduct a research study for the testing of drug, the
drug organization could not consist in the test population as the target population.
Suppose a research question that is “To identify the impact of changes in ecology on the living style of Hispanic”.
Then, for this research question, the external validity could be a primary concern because this question focuses
over the whole group of Hispanic instead of someone or a particular group.
But, if the research question states that “To identify the impact of changes in ecology on the living style of
teenagers Hispanic” then it would be very difficult to generalize and simplify the outcomes of this question for the
whole people of the Hispanic community. In this situation internal validity is a primary concern because without
it, the result of the study could not be effective (Herek, 2012).
For making strong claims in the context of applicability of findings towards a target population the researchers
use the random sampling method, systematic samples, and cluster sampling for gathering the information and
data from the selected population (Kimmel, 2007). This strategy plays an effective role in the generalization of
study outcomes because the sampling process based on probability always includes the high response rate that
helps the researchers to apply the result of study in the broader manner.

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2-Compare and Contrast Random Selection and Random Assignment
The random selection and random assignment, both are slightly relative terms. The random selection describes
how the research could draw the sample from the whole population related to the research study, while the
random assignment describes about the process of researchers that they use to assign and draw the sample from
different groups of the population (Trochim, 2006). Due to this similarity, both random assignment and selection
could be applied to conduct a study. It could be better understood with an example. If a researcher draws 50
people from a group of 500 people with the help of random sample, then it would call random sampling. But, the
researcher selects 50 people for new treatment instead of remaining 450 people from whole population then it
would be called random assignment.
In some situation, when the researcher does not use the random sample to select the population but selected the
some people for providing the different treatment, then the random selection could not be applied but random
assignment could be used (McNabb, 2010).
But, there are some difference between random selection and random assignment. Random selection depends
over sampling process and it is directly related to the external validity of the study results (Trochim, 2006). On
the other hand, the random assignment is related to the study design and also related to the internal validity of
the study’s result.

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1-Compare and Contrast Internal and External Validity The internal validity depends over the accuracy of the results. Hence, if the sample does not select by random collection method, then it could affect the internal validity because internal validity depends over the data collection method. In the same manner, the external validity includes the concepts of generalization to know the impacts of the results for the larger population (Herek, 2012). Hence, it also depends over the data collection method as like internal validity. There are some differences between the external validity and internal validity. The internal validity generally makes some dealing with the research study without the help of other research elements. On the other side, external validity looks over that situation, when one could take the outcomes of the research study and simplify it in a broader perspective. The generalization also works with the help of external validity (Kimmel, 2007). It could be better understood with an example. When researchers conduct a research study for the testing of drug, the drug organization could not consist in the test population as the target population. Suppose a research question that is “To identify the impact of changes in ecology on the living style of Hispanic”. Then, for this research question, the external validity could be a primary concern because this question focuses over the whole group of Hispanic instead of someone or a particular group. But, if the ...
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