According to Yin (1994), as in all research, consideration must be given to construct validity, internal validity, external validity, and reliability. This may add to unauthenticated the results, as adding too many measures will overcomplicate the research. For example, a survey designed to explore depression but which actually measures anxiety would not be considered valid. A study is considered to be externally valid if the researcher’s conclusions can in fact be accurately generalized to the population at large. Validity and reliability of research findings has been met through triangulation procedure in the study. If they do not add value to research, they result in insecurity regarding the accuracy of the results. To be able to establish reliability and validity, researchers should not include excessive measures to support their research claims. External validity involves the extent to which the conclusions can be generalized to the broader population. Validity. The three types or reliability that are important for survey research include: Test-Retest Reliability – Test-retest reliability refers to whether or not the sample you used the first time you ran your survey provides you with the same answers the next time you run an identical survey. Reliability. Validity is defined as the extent to which a concept is accurately measured in a quantitative study. In short, it is the repeatability of your measurement. Wording is an important aspect of the survey design process in order to increase the reliability of survey answers In order to provide a consistent data collection experience for all survey respondents, a good question has to have the following two … Continue reading → Reliability and validity are the issues combine in very complicated ways.

The sample group must be representative of the target population to ensure external validity. Definition: Reliability is the consistency of your measurement, or the degree to which an instrument measures the same way each time it is used under the same condition with the same subjects. Reliability and validity should not be taken as an extra element to the research. Quantitative Research: Reliability and Validity . To ensure that both issues are satisfied, the pilot test was administered to a school where the respondents were not involved in the actual research. There are factors that may affect their answers, but presumably if a survey is taken twice and nothing has changed to affect responses, … Reliability can be more easily understood by identifying the testing methods for stability and consistency.



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