What Is Longitudinal Research?

Longitudinal research takes place over time.
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Longitudinal research is a type of correlational research that involves looking at variables over an extended period of time. This type of study can take place over a period of weeks, months, or even years. In some cases, longitudinal studies can last several decades.

How Does Longitudinal Research Work?

Longitudinal research is used to discover relationships between variables that are not related to various background variables.

This observational research technique involves studying the same group of individuals over an extended period.

Data is first collected at the outset of the study, and may then be repeatedly gathered throughout the length of the study.

For example, imagine that a group of researchers is interested in studying how exercise during middle age might impact cognitive health as people age. The researchers hypothesize that people who are more physically fit in their 40s and 50s will be less likely to experience cognitive declines in their 70s and 80s.

The researchers obtain a group of participants who are in their mid-40s to early 50s. They collect data related to how physically fit the participants are, how often they work out and how well they do on cognitive performance tests. Periodically over the course of the study, the researchers collect the same date from the participants to track activity levels and mental performance.

A few key things to remember about longitudinal studies:

  • They are observational in nature
  • They are a type of correlational research
  • Longitudinal research is often contrasted with cross-sectional research
  • Longitudinal research involves collecting data over an extended period, often years or even decades

The Benefits of Longitudinal Research

So why might a scientist choose to conduct longitudinal research? For many types of research, longitudinal studies provide unique insight that might not be possible with other forms of research.

The benefit of this type of research is that it allows researchers to look at changes over time. Because of this, longitudinal methods are particularly useful when studying development and lifespan issues. 

An example of how this research can be used include longitudinal studies that look how identical twins reared together versus those reared apart differ on a variety of variables. Researchers track these participants from childhood into adulthood to look at how growing up in a different environment influences things such as personality and achievement.

Since the participants share these same genetics, it is assumed that any differences are due to environmental factors. Researchers can then look at what the participants have in common versus where they differ to see which characteristics are more strongly influenced by either genetics or experience.

Because longitudinal studies take place over a period of years (or even decades), they can be very useful when looking at changes in development over time. Researchers can utilize this kind of research to establish a sequence of events when looking at the aging process.

The Drawbacks of Longitudinal Research

There are some important advantages to conducting longitudinal research, but there are also a number of drawbacks that need to be considered.

Longitudinal Studies Can Be Expensive

However, longitudinal studies require enormous amounts of time and are often quite expensive. Because of this, these studies often have only a small group of subjects, which makes it difficult to apply the results to a larger population. Another problem is that participants sometimes drop out of the study, shrinking the sample size and decreasing the amount of data collected.

Participants Tend to Drop Out Over Time

This tendency for some participants to be more likely to drop out of a study is known as selective attrition. In our example above, participants might drop out for a number of reasons. Some might move away from the area while others simply lose the motivation to participate. Others might become housebound due to illness or age-related difficulties, and some participants will pass away before the study is concluded.

In some cases, this can lead to an attrition bias and influence the results of the longitudinal study. If the final group no longer reflects the original representative sample, this attrition can also threaten the validity of the experiment. Validity refers to whether or not a test or experiment accurately measures what it claims to measure. If the final group of participants is not a representative sample, it is difficult to generalize the results to the rest of the population.

Types of Longitudinal Research

There are three major types of longitudinal studies:

  • Panel Study: Involves sampling a cross-section of individuals.
  • Cohort Study: Involves selecting a group based on a specific event such as birth, geographic location or historical experience.
  • Retrospective Study: Involves looking to the past by looking at historical information such as medical records.

The World’s Longest-Running Longitudinal Study

The world's longest running longitudinal study is the Genetic Studies of Genius, which is today referred to as the Terman Study of the Gifted. The study was originally started in 1921 by psychologist Lewis Terman to investigate how highly intelligent children developed into adulthood.

The study is still going on today, although the original sample has understandably grown much smaller. The study originally had over 1,000 participants, but that number had dwindled to just 200 by 2003. Some of the participants included scientist Ancel Keys and educational psychologist Lee Chronback. Researchers plan to continue the study until the last participant either drops out or dies.


Christmann, E. P., & Badgett, J. L. (2008). Interpreting Assessment Data. NTSA Press; 2008.

Gratton, C., & Jones, I. (2004). Research methods for sports studies. London: Routledge; 2004.

Leslie, M. (2000). The vexing legacy of Lewis Terman. Stanford Magazine. 

Also Known As: Longitudinal Study, Longitudinal Research

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