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2018-11-09
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Improve data collection. Improve data organization. Cleanse data regularly. Normalize your data. Integrate data across departments. Segment data for analysis.
Validity should be considered in the very earliest stages of your research, when you decide how you will collect your data. Ensure that your method and measurement technique are high quality and targeted to measure exactly what you want to know. They should be thoroughly researched and based on existing knowledge.
When the study permits, deep saturation into the research will also promote validity. If responses become more consistent across larger numbers of samples, the data becomes more reliable. Another technique to establish validity is to actively seek alternative explanations to what appear to be research results.
Reliability implies consistency: if you take the ACT five times, you should get roughly the same results every time. A test is valid if it measures what it's supposed to. Tests that are valid are also reliable. The ACT is valid (and reliable) because it measures what a student learned in high school.
Reliability is consistency across time (test-retest reliability), across items (internal consistency), and across researchers (interrater reliability). Validity is the extent to which the scores actually represent the variable they are intended to. Validity is a judgment based on various types of evidence.
When the study permits, deep saturation into the research will also promote validity. If responses become more consistent across larger numbers of samples, the data becomes more reliable. Another technique to establish validity is to actively seek alternative explanations to what appear to be research results.
Reliability and validity are concepts used to evaluate the quality of research. They indicate how well a method, technique or test measures something. Reliability is about the consistency of a measure, and validity is about the accuracy of a measure.
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.
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