Princeton Review Essay Example | Topics and Well Written Essays - 500 words

Princeton Review - Essay Example In addition, only one survey for each student per academic year per institution submitted through the prescribed medium like online or properly filled forms, qualifies to be included in the sample data. Q2 The main reason why the results are regarded as being far from scientific, since in a scientific survey, a hypothesis is formed and data is collected to validate or invalidate it. Secondly, a scientific survey driven by data, which is used to show similarities and patterns, and involve observations such as field studies rather than interview question surveys used by Princeton review. Thirdly, scientific survey is conducted on continuous basis and use mathematical calculations supported by physical laws and principles in their fields, but this cannot be applied in Princeton review. Finally, Princeton review does not use non-random samples of the populations in collection of results. For example, if well-known individuals used to conduct such surveys, and this affects the findings as it hinders conducting of objective surveys in the university and does not reflect the views of the whole population thereby not being scientific. Q3 Selection bias occurs when the interviewer selects specific individuals to participate in a survey to represent the whole population. It affects the objectivity of the sample because it makes respondent approve claims that they know are false just to satisfy the interviewer in a survey. This causes twisting of a survey research in the wrong way because of the method used to identify the sample population. For example, in IU, in an attempt to find out whether students get good financial aid from the administration, the interviewer can choose some students who have benefited from the same and this can cause subjectivity in their answers hence creating a wrong view of the university. Q4 Response bias occurs when a survey respondent gives answers that they perceive the interviewer wants to hear not necessarily the truth. This can