'The Reliability and Validity of Measurements\r'

'Measurement error is easily determine using stripes of reliability. In the abstract sense, reliability is expound as a matter of whether a item technique, used repeatedly towards a similar subject, would leave the same result for every criterion event. The measure of reliability is the measure of the random errors in a measurement. Consequently, the more current the measurement is, the less would be the random error in it (Rubin and Babbie, 2004, p. 182). Rubin and Babbie (2004) mentioned that reliability does non guarantee accuracy.For example, if two measurement apparatus argon not synchronized or standardized to to each one other, they might as yet reflect the same measurement, tho the other apparatus might have been correct to most extent in order to confirm with the result of the measurement of the other apparatus (). grimness on the other hand is defined as the extent to which an empirical measure satisfactorily represents the real number meaning of the variabl e being measured. there is very no basis to determine the adequacy of the measure. similarity and agreement to pre-existing terms or concepts is do to accept the validity or not (Rubin and Babbie, 2004, p.186). reliability is not a qualification to conclude that the measurement through is valid. We may say that the measured values, especially in quantitative research, are precise, but not accurate. There are also instances that the resulting measurements are accurate to some level, but are imprecise. In the worst case would be that the measurements are imprecise and inaccurate. Because of this, a trustworthy tension exists, whether to choose reliability over validity, or the other way around (Rubin and Babbie, 2004, p. 198).Of course, the target would be to collect both valid and reliable data, and this house be obtained by being strict to the instruction execution of the procedures for measurement: being thoughtful and less sloppy. The deviation between the two is that rel iability requires fewer variables, and thusly less validity, vice versa. This kind of relationship is still in conflict (Martin, 2005). We could say therefore, that a measurement is valid even if it is not a reliable measurement, since the way to prove the reliability is the repeatability and reproducibility of the results.Also, the indispensableness to strengthen the validity is to consider many applicable variables and to get near to the exact value, while on reliability, there is no requirement for such (Martin, 2005). References Martin, Rogel L. (2005). Reliability vs. Validity. Retrieved August 29, 2008, from http://www. businessweek. com/innovate/content/sep2005/id20050929_872877. htm Rubin, Allen and Earl R. Babbie. (2004). Research Methods for societal Work. Retrieved August 29, 2008, from http://books. google. com. ph/books? id=eAdbEn-yZbcC\r\n'