In this research, the main measures used are reliability and validity. The difference between the two is that reliability determines whether or not other research can reproduce the results if given similar conditions. Validity, however, depends on whether or not the measure used is doing what it says it will do. If the test is focused on one construct it is called convergence, which means that the test is valid. If the test is focused on multiple constructs, the results may not be significant, and this is called divergence, which means the test is invalid. For example, a spelling test containing five math questions is administered to three samples of students. The test should be reliable if all three groups produce consistent results, but the test will not be valid because it uses mathematical questions to attempt to determine spelling ability. An important reason to focus on validity and reliability is to see whether the results provide the ability to draw meaningful conclusions and then discuss correlations. If the test is not valid or reliable, it is likely that the results should not be reported due to flaws in the survey. Methods 100 students participated in this survey. Among these university students, 17 were boys and 83 were girls. The minimum age for these 100 people was 18 and the maximum was 27. Three people were missing from the age question and the reason for this is not known. With this in mind, the results showed a younger audience (M = 19.76) and these participants generally had low variability (SD = 1.07). The scale used is called the Rosenberg Self-Esteem Scale. The scale had ten items, the average of the responses to the ten items provided a representative scale or... half of paper... One way to measure the reliability of Rosenberg's self-esteem scale would be to gather a group of people from survey who had relatively low responses to the construct, inform them of the construct and what it is, and ask them to repeat the survey to see the correlation between the original test and the new test, this is called In the data set, there is little or no correlation between height and self-esteem. This supports the construct validity of the survey, as height would be a separate construct that should not be related to the data set at all. If height were a separate construct, then there would be a nonsignificant difference between height and self-esteem, rather than positive self-esteem exhibited by the entire sample. If there was a correlation, this would indicate that the data set is not measuring what it is supposed to measure.