Discuss potential challenges to validity and reliability of your research question, data, and analysis.
Validity and reliability are the backbone of what is accepted as scientific proof by researchers. Potential challenges to reliability of a research question, data, and analyses are any significant results must be repeatable. Anyone who wanted to perform the same experiment applying the same conditions should arrive at the same result. If this is successful this reinforces the results and makes a larger population accept hypothesis. Potential challenges to validity of a research question, data, and analysis is making sure whether research actually measures what it claims to measure. If someone else who looked at the research and questions if the research really measures what it supposed to, the research results are in danger of being null and void and research findings wouldn't carry weight. Potential challenges to validity and reliability of data and analysis is making sure data is reliable in the first place before any test is applied. Any misconstrue data or oversight from beginning will leave false data entered in the statistical hypothesis test that would not produce accurate results. Challenges to validity of data, and analyses are meeting requirements of the scientific research method. Following all requirements and proper procedures when gather information, chosen right population and sample sizes, and any other requirements when using method. Accurate interpretation of data is a potential challenge to reliability of data. If the research results are not interpreted correctly this leads to a cloudy analysis because data is not appropriately examined according to research experiment.
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