SMART PILLS

Use of Smart Pills

Use of Smart Pills

Introduction

Choosing a research approach focuses on disparate elements. Apart from those on the issue, the nature of the issue or research objectives others contribute more or less implicit in this choice. The professional interests of the researcher are associated with this context. Indeed, the professional context in which a researcher and the respondent fits, influence the choice of research. By example, one must be able to answer the following questions: was the research effective? Has it produced the desired effect? Are the objectives achieved? What is the relationship between results and resources used? These questions generally fall in the heart of the culture of an institution-oriented research. The professor at the phoenix community college conducted a study to test the effectiveness of a smart pill. He believes that the smart pill improves the IQ and performance; however, it is important to analyze the experiment to reach the connection about the validity of the study.

Random Assignment Problem

The professor believes that the smart pill improves the IQ and performance of student. There was the issue with the assignment of sample with the study, the professor selected the sample, randomly without prior examination of the student current GPAs an, IQ, and class performance. It affected the results in a way that the already smarter student took the pills, where as the second test group comprised of the average students (Levy, 2003). Consequently, the professor cannot declare that the smart pill worked as the random was not tested and it could not represent the scientific criteria for student selection which is based on equal caliber and IQ students.

Problem with the Sample

As mentioned above, the sample was randomly selected, however, on the observational studies; the sample selection is a crucial step. Therefore, it can be said that the experiment had sample bias. Sample bias occurs when the sample is collected in a way that few members of the intended population are less likely to be involved than other. Another issue that the experiment faced was the sample selection error. It is an administrative error caused by improper selection of a sample during a survey that results in accidental bias in the result. The professor cannot analyze the results and declare the success of experiment by giving unequal treatment to the sample, group. It is obvious that the student with an already high IQ scored better than the second group ...