What is the relationship between the internal validity and external validity of a research study?

Posted on: 29th Apr 2020

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Both internal validity and external validity are very much important in research.  Without internal and external validity research has no meaning.

What is the relationship between the internal validity and external validity of a research study?

Internal Validity: Meaning

Internal validity helps in measuring the effectiveness of research. The main purpose of internal validity is to analyze the effectiveness of research.  It is a degree up to which a piece of evidence which supports a claim about the relationship between cause and effect. The researcher utilizes internal validity as a technique for measuring accuracy.  It helps in determining whether it is an independent variable which influences the dependent variable

Internal validity helps the researcher in giving an alternative explanation for research results.  You can increase the internal validity of research by including fewer confounding variables.

External Validity: Meaning

 External validity refers to as extend up to which you can apply conclusions of the scientific research in other fields of study. In simple words external validity is a level up to which research results can be generalized across different situations and times.  It helps the researcher in determining whether research Finding is accurate or not. You can measure the accuracy of research findings by performing an examination of its applicability in different circumstances. In case a particular set of research conditions does not practically consider the interaction of other variables of the real world.  The two common types of external validity which help in measuring the strengths of research are:

  • Population validity
  • Ecological validity

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Comparison  between Internal Validity Vs External Validity

The little difference between internal and external validity is that internal validity mainly emphasizes the relationship between different variables of the study. On the other hand, external validity mainly emphasizes on Universal applicability of research results.

Other differences between internal and external validity are:

Basis of Comparison Internal Validity External validity
Meaning Internal validity can be referred to as a level up to which an experiment is free from mistakes. Differences in measurement might arise because of the independent variable. External validity is the degree up to which research results could apply to a real-world situation.
Concerned with Controlling Naturalness
Measure Internal validity helps in measuring the accuracy of the experiment. External validity helps in determining causal relationship which is observed in the experiment can be generalized.
Identification It helps in determining the powerfulness of research methods.   The main aim of external validity is to identify whether research results can apply in the real world.
Description Extend up to which the conclusion is warranted.  Level up to which the investigation is warranted for generalization of result to other contexts.
Used to Internal validity is helpful in the elimination of alternative explanations for research results. A generalization of results.
Techniques to improve  The best technique to increase internal validity is to include fewer confounding variables in research. An appropriate technique for improving external validity is to include participants in research planning and inform them about objectives.
Threats Threats to internal validity are :

a) Confounding factors: Unexpected factors that can affect the relationship between variables which is already been tested.

b) Maturation: It is the changes in the situation with the passage of time that can influence the dependent variables of the study.

c) Testing: Pre-testing affect the outcomes of post-test,

d) Participant Selection:  It means the difference in the experimental and control groups can have a great influence on the internal validity of the research.

e) Mortality:  Participants may leave the research.  The main reason for dropout of participants from the study is experimental research design then such factors can have a great influence on the internal validity of the research.

f) Instrumentation:  It includes the way change in the dependent variable is measured during the study.

The two basic threats to  external validity are:

1. Testing: The participation of people in the pre-test affects the reaction of people towards the treatment.

2. Selection of participants: People who have been selected as participants in the study differ from the population.

Conclusion

From the above study it has been concluded that experimental research design generally has both internal and external validity. Another thing which has been concluded from the above is that Ensuring the internal validity of experimental research is very much important before applying any of the treatments. It has also been concluded that external validity is the core stone of an effective experimental design.

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How are internal validity and external validity similar?

One of the similarities between internal validity and external validity is that both factors should be considered when designing a study. This is because both have implications in terms of whether the results of a study have meaning. Both internal validity and external validity are not "either/or" concepts.

What is the relationship between control and internal validity?

Control outcomes and exposures can improve internal validity of nonrandomized studies by assessing residual bias in effect estimates. Control outcomes are those expected to have no treatment effect or the opposite effect of the primary outcome.

What is the difference between internal validity and external validity quizlet?

Internal validity is the amount of certainty that the independent variable influenced the dependent variable. External validity is the ability to generalize the research.

Why is it important to balance internal and external validity?

Conclusion: A balance between internal and external validity is essential to promote enrolment in the study and confidence in attributing its outcomes to an intervention, as well as to provide answers to clinically relevant questions such as who benefits most from which intervention.