![]() ![]() Rigorous and transparent data analysis methods and techniques should be used to interpret and report the data, such as descriptive statistics, inferential statistics, or thematic analysis. Appropriate sampling and sampling techniques should be used to select participants, such as random sampling, stratified sampling, or purposive sampling. Standardized and tested instruments and tools should be used for data collection, such as validated surveys, questionnaires, or tests. To guarantee validity and reliability, you should consider using multiple sources and methods of data collection to triangulate and validate your findings. Validity means your data measures what it is supposed to measure, while reliability means it is consistent and accurate. ![]() When collecting and analyzing data, you need to ensure that your data is valid and reliable. ![]()
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