WHAT ARE SOME REASONS YOU MIGHT CONSIDER DATA OR INFORMATION TO LACK Essay

WHAT ARE SOME REASONS YOU MIGHT CONSIDER DATA OR INFORMATION TO LACK VALIDITY, CREDIBILITY, OR RELIABILITY EXPLAIN YOUR ANSWER BY USING EXAMPLES - Essay Example Validity of data focuses on the whole tentative concept and establishes whether the outcome obtained congregate all the necessities of the scientific research method. If the data fails to meet these requirements, then it is said to unreliable (Hurtado et al 21). The following are the reasons why data may be lack credibility, reliability and validity. The principle of credibility tests the believability of data. Credibility of data may be affected by vagueness. Lack of transparency in research may create doubt this may make it difficult to evaluate data. Failure to consider quality control may also affect the credibility of data. Misspelled words may also with the meaning of the information. Carelessness and ignorance by the researcher may give rise to such errors. When accuracy tests are carried out, the data may be termed as vague and be disqualified. Failure to give the author’s credentials such as biographic information, contact information, executive authorship, author’s repute and the site may affect the credibility of data. Timeliness is a key since information is fluid in nature. Information changes as time change especially in the fields of technology, business and medicine. Narrowness of data may also contribute to its lack of credibility. If the source fails to reveal the need of wholeness and exactness, it is termed as unbelievable. Another reason is lack suitability of the anticipated audience and purpose ((Hurtado et al 22). The intension and the rationale of research should be apposite to the requirement so that you can put them into an account. The requirement of testability is that there is duplication of statistically momentous domino effect. Testability may fail if the experimental conditions are changed. If the tools of research are changed, the outcomes will automatically change. Failure to keep accurate time may produce unreliable data. If the researcher fails to obtain measurements several times, the chances of