![]() ![]() The same can be applied to a research study. In other words, a tool is reliable if you use it over and over and consistently get the same results. Reliability often refers to repeatability. An intelligence test says it measures IQ, and in fact it has been proven to actually measure IQ. ![]() An example of validity would be an intelligence test. Additionally, the validity of a study refers to the extent to which the study is actually studying what it says it is studying. Validity refers to the extent to which a tool measures what it is supposed to measure. It is important to understand that there is a difference between reliability and validity. You may also determine if a measurement tool is both valid and reliable. These terms are generally used within the field of statistics and refer to forms or types of measurement. Distinguish Between Validity and Reliability Researchers often question whether or not the outcomes or findings of a study are valid. Essentially, one would determine if the results of a study or outcomes are factually sound, or valid. In research, validity often refers to results or an outcome. For example, you may ask if a position is valid, based on facts or logical. You may use the term validity to refer to someone’s position or opinion on a certain subject. ![]() On the other hand, the word validity refers to the quality of being logically or factually sound. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |