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A Longitudinal Study of P2P Traffic Classification Alok Modular Carey Williamson Department of Computer Science University of Calgary Email: modular, Carey CPC.Calgary.ca Abstract This paper focuses
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A longitudinal study is a research method that involves observing and collecting data from the same group of participants over an extended period of time to study changes or trends over time.
The requirement to file a longitudinal study may vary depending on the specific context or purpose of the study. Generally, researchers or institutions conducting longitudinal studies are responsible for filing and reporting the collected data.
The process of filling out a longitudinal study typically involves designing a data collection plan, determining the variables of interest, selecting an appropriate sample, collecting data at multiple timepoints, and ensuring the accuracy and completeness of the data. Specific procedures may vary depending on the nature of the study and the research methodology used.
The purpose of a longitudinal study is to examine changes, development, or patterns over time. It allows researchers to study long-term trends, identify factors that contribute to certain outcomes, and make inferences about causality or relationships between variables.
The specific information to be reported on a longitudinal study depends on the research question, study design, and any relevant regulations or requirements. Generally, it may include demographic information of participants, measurements or assessments of variables of interest, and any other relevant data or observations.
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