Reliability and Validity Analysis.docx - Abstract...

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AbstractReliability and validity are the two most important and fundamental features in theevaluation of any measurement instrument or tool for a good research. The purpose ofthis research is to discuss the validity and reliability of measurement instruments thatare used in research. Validity concerns what an instrument measures, and how well itdoes so. Reliability concerns the faith that one can have in the data obtained from theuse of an instrument, that is, the degree to which any measuring tool controls forrandom error. An attempt has been taken here to review the reliability and validity, andthreat to them in some details.Reliability and Validity AnalysisIn research, the concern of an analyst is how to minimize possible errors by maximizingthe reliability and validity of data. This requires that the tool for the collection of data isvalid and reliable. This section demonstrates the technical meaning of these twoconcepts. The reliability of the findings and conclusions arrived at in any researchmainly depends on the validity and reliability of the methods and tools used in datacollection.The measurement involves distributing scores to individuals so that they representsome characteristic of the individuals. Researchers conduct analysis using the measureto confirm that the scores make sense based on their understanding of the constructbeing measured. It is a significant point. Psychologists do not merely assume that theirmeasures work. Instead, they collect data to demonstrate that they work. If theirresearch does not explain that a measure works, they stop using it.Reliability and validity are important aspects of selecting a survey instrument.Reliabilityrefers to the extent that the instrument yields the same results over multiple trials.Validity refers to the extent that the instrument measures what it was designed tomeasure.In research, there are three ways to approach validity and they includecontent validity, construct validity, and criterion-related validity.
Reliability:Reliability refers to the consistency, stability, or dependability of the data.It is a way ofevaluating the quality of the measurement method used to collect data in a dissertation.In order for results from a study to be considered accurate, the measurement proceduremust first be reliable.Whenever an investigator measures a variable, he wants to be sure that themeasurement provides reliable and consistent results. A reliable measurement is onethat if it repeated a second time will give the same results as it did the first time. If theresults are different, then the measurement is unreliable. It is easier to determinereliability when dealing with information that can be quantified.

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Term
Fall
Professor
VALI
Tags
researcher, Validity Analysis

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