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 replicate the results if provided under similar conditions. However, validity depends on whether or not the measure used does what it claims to do. If the test focuses on a construct, it is called convergence, which means that the test is valid. If the test is carried out on several constructs, the results cannot be significant, this is called divergence, which means that the test is not valid. For example, a spelling test with five math-related questions is given 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 math questions to try to determine spelling ability. An important reason to focus on validity and reliability is to see whether the results allow meaningful conclusions to be drawn and therefore to 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 investigation. MethodsFor this survey, 100 students participated. Among these middle school students, 17 were boys and 83 were girls. The minimum age of these 100 people was 18 years and the maximum was 27 years. There were three people missing from the age question, and the reason is unknown. 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 consisted of ten items, the average of the responses to the ten items gave a representative scale o...... middle of paper ......A way of measuring the reliability of the self-esteem scale of Rosenberg would bring together a group of people from the survey who had relatively low responses to the concept, inform them of the concept and what it is, and ask them to take the survey again to see the correlation between the original test and the new test, which 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 size would be a separate concept that should not be related to the dataset at all. If height were a separate construct, then there would be a non-significant difference between height and self-esteem, rather than positive self-esteem exhibited by the entire sample. If there was a correlation, it would indicate that the dataset is not measuring what it is supposed to measure..