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Exploring Experimental Design, Validity, and Confounding Variables in Research Studies

Explores key aspects of experimental research design.

Claire Mitchell
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Exploring Experimental Design, Validity, and Confounding Variables in ResearchStudies1.Jackson (2012) even-numbered Chapter Exercises (p. 244).You read in a health magazineabout a study in which a new therapy technique for depression wasexamined. A group ofdepressed individuals volunteered to participate in the study, which lasted 9 months. Therewere 50 participants at the beginning of the study and 29 at the end of the 9 months. Theresearchers claimed that of those who completed the program, 85% improved. What possibleconfounds can you identify in this study?What are internal validity and external validity, and why are they so important to researcher?Research has a bias since they are not taking into account the total number ofparticipants. They are not considering the complete sample. It is important to have a completevalidity of data for better analysis. Complete analysis of sample needs to be taken intoaccount. Integrity in the field of academics is crucial not only inside the university but alsofor maintaining the level of trust in the minds of the people. It is upto the researchers tomaintain the integrity and the brand image of the university.2.What is the purpose of conducting an experiment? How does an experimental designaccomplish its purpose?Kantin1793proposessomethingthatwentonrampageandisnowknownworldwide. The saying was“Some things are fine in theory, but do not work in practice”This rule is applicable even after centuries. Now people understand that theory andthen application of the same in real like is not very easy. Identifying something in theory is

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Statistics

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