Validity and reliability in quantitative studies

Reliability of treatment implementation (how much subjects learned, degree of program. Validity is the best approximation to the truth or falsity of propositions (Cook & Campbell, 1979). Research design helps us to eliminate some threats to validity in. Such explanations are called theories (Kerlinger, 1986, p. Achieving a 95% Confidence Level and 5% Sampling Error for every segregation of the data will ensure that the research study is a valid reflection of respondent perceptions. Validity 1 VALIDITY OF QUANTITATIVE RESEARCH Recall the basic aim of science is to explain natural phenomena. Moskal & Leydens (2002) defined the validity as the degree to which the evidence supports that the interpretations of the data are correct and the manner in which interpretations used are appropriate. In all scientific research, the possibility for some error exists, which cannot be totally removed. Validity and reliability are two important aspects in order to approve and validate the quantitative research. Through uncompromising adherence to scientific research principles, you eliminate all known sources of error, including but not limited to, the biases and artificial skewing of the data typically found in the areas of: validity (or tool) measures the intended construct Homogeneity (internal consistency) is assessed using Criterion The extent to which a research instrument item-to-total correlation, split-half reliability, Kuder- validity is related to other instruments that Richardson coefcient and CronbachвЂ™s. While reliability is concerned with the accuracy of the actual measuring instrument or procedure, validity is concerned with the studys success at measuring. You should employ the highest standards of scientific research to ensure that your survey results are valid. The validity of a survey is considered to be the degree to which it measures what it claims to measure. Validity is important because it determines what survey questions to use, and helps ensure that researchers are using questions that truly measure the issues of importance. View validityreliabilityQUANTITATIVEparte1.pdf from GESTO 111 at University of Minho - Portugal.

There are many different types of Survey Validity, such as construct validity, convergent validity, and content validity.

Validity and reliability in quantitative studies