Psychology, asked by ryanmartinlife, 28 days ago

Describe any four techniques to control the unwanted effect of relevant variables in the experimental studies.

Answers

Answered by taydep73
2

Answer:

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Answered by mail2monika2008
3

Answer:

Extraneous variables should be controlled if possible. One way to control extraneous variables is with random sampling. Random sampling does not eliminate any extraneous variable, it only ensures it is equal between all groups.

Explanation:

Randomization: In this approach, treatments are randomly assigned to the experimental groups. It is assumed that the extraneous factors are present equally in all the groups. This technique is only workable when the sample size is very large.

2)Matching: Another important technique is to match the different groups of confounding variables. Different confounding variables like gender, age, income etc. could be distributed equally amongst the group. It sometimes does become difficult to extend matching within all the groups and another drawback of the same is that, sometime the matched characteristics may be irrelevant to the dependant variable.

3)The use experimental designs: In certain studies, the experimental designs may play a crucial role in reducing or completely removing the role and impact of the extraneous variables.

4)Statistical Control: There may be situations, when all the above mentioned methods to control the extraneous variables do not show any significant outcome. It brings the entire research into question as then causal inferences are difficult to make. Another method that may work to bring down the effect of extraneous variables is the method of statistical control. Among the various statistical tools and techniques, Analysis of Covariance ( ANOVA) helps in reducing the impact of the extraneous factors on the study.

These four methods, in their own way, can be used in the research, collectively or exclusively to eliminate the relationship impact discussed above. It is dependent upon the expertise of the researcher to understand and administer these methods in a way that the best possible results can be obtained.

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