DEFINITION of 'Longitudinal Data'

The process of collecting sample observations from a larger population over a given time period. Longitudinal data is used in statistical and financial studies.

BREAKING DOWN 'Longitudinal Data'

The process of analyzing past return data for a given security is an example of using longitudinal data. By collecting daily, weekly or monthly return data, a financial analyst can determine past return trends, and calculate the stock's value at risk (VaR) using the historical method.

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RELATED FAQS
  1. What percentage of the population do you need in a representative sample?

    Learn about representative samples and how they are used in conjunction with other strategies to create useful data with ... Read Answer >>
  2. What's the difference between a representative sample and a convenience sample?

    Learn the difference between convenience sampling and representative sampling and the advantages and disadvantages of each ... Read Answer >>
  3. How can a representative sample lead to sampling bias?

    Learn how using representative samples alone is not enough to make sampling bias negligible and why elements such as randomization ... Read Answer >>
  4. How do researchers ensure that a simple random sample is an accurate representation ...

    Learn which methods researchers employ to ensure that a simple random sample best approximates the larger population being ... Read Answer >>
  5. What's the difference between a representative sample and a random sample?

    Explore the differences between representative samples and random samples, and discover how they are often used in tandem ... Read Answer >>
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