Most of the tests and scores carried out in laboratories are imperfect and prone to errors. This may make the results of an experiment or an analysis drawn from the study to lose its accuracy. Thus, there is a need to have some preventive measures, not exactly to eliminate the errors, but to ensure that the conclusions are as near perfect as possible. This paper discusses the importance of recognizing the imperfectness of tests and scores and proposes some actions to be taken to achieve the most accurate results as possible.
Tests and analysis are carried out under some constraints that help in regulating the results of the experiment. When these conditions do not conform to the standards desired as this often happens, the results become imperfect and erroneous (Kubiszyn & Borich, 2010). This paper discusses the importance of taking into account the imperfectness of tests and scores.
According to Kubiszyn & Borich (2010), all tests and scores are imperfect and subject to error. This may be caused by the changing control factors without the realization of the person carrying out the tests. All tests are carried out under the control conditions being manipulated within the experiment to provide result that is assumed perfect. However, it is difficult to have a full control of the conditions within which the experiment is being done. Furthermore, establishing the reliable control conditions depends on the standards that have been set by others under different conditions. Those conditions might be completely different from the one by which the standards had been set.
Recognizing that there are no perfect tests help the researchers to make a hypothesis and to readjust the finding to suit the hypothesis made prior to the test. It also helps in ensuring that the results of assessment are being evaluated according to the known facts from other sources to make the conclusions that are as close to the perfectness as possible. It, in other words, helps in comparing the results with other findings in the same area and makes the inferences of the tests based on the findings in other experiments.
In conclusion, there are the measures that a researcher can use to ensure the most accurate assessment results. These include: carrying out several tests and the calculation of the average point, as well as comparing the results with other related tests done somewhere else in different conditions as well as doing the research of the tests before they have been done to form the hypothesis about the results of the test. That is, one should have in mind the expected results of the test before carrying out that test.