{"id":138607,"date":"2020-05-08T09:34:17","date_gmt":"2020-05-08T07:34:17","guid":{"rendered":"https:\/\/www.scribbr.nl\/?p=138607"},"modified":"2023-06-22T10:26:01","modified_gmt":"2023-06-22T08:26:01","slug":"longitudinal-study","status":"publish","type":"post","link":"https:\/\/www.scribbr.com\/methodology\/longitudinal-study\/","title":{"rendered":"Longitudinal Study | Definition, Approaches & Examples"},"content":{"rendered":"

In a longitudinal study, researchers repeatedly examine the same individuals to detect any changes that might occur over a period of time.<\/p>\n

Longitudinal studies are a type of correlational research<\/a> in which researchers observe and collect data on a number of variables<\/a> without trying to influence those variables.<\/p>\n

While they are most commonly used in medicine, economics, and epidemiology, longitudinal studies can also be found in the other social or medical sciences.<\/p>\n

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How long is a longitudinal study?<\/h2>\n

No set amount of time is required for a longitudinal study, so long as the participants are repeatedly observed. They can range from as short as a few weeks to as long as several decades. However, they usually last at least a year, oftentimes several.<\/p>\n

One of the longest longitudinal studies, the Harvard Study of Adult Development<\/a>, has been collecting data on the physical and mental health of a group of Boston men for over 80 years!<\/p>\n

Longitudinal vs cross-sectional studies<\/h2>\n

The opposite of a longitudinal study is a cross-sectional study.\u00a0While longitudinal studies repeatedly observe the same participants over a period of time, cross-sectional studies examine different samples (or a \u201ccross-section\u201d) of the population at one point in time. They can be used to provide a snapshot of a group or society at a specific moment.<\/p>\n

\"Cross-sectional<\/p>\n

Both types of study can prove useful in research. Because cross-sectional studies are shorter and therefore cheaper to carry out, they can be used to discover correlations that can then be investigated in a longitudinal study.<\/p>\n

Cross-sectional vs longitudinal example<\/figcaption>You want to study the relationship between smoking and stomach cancer. You first conduct a cross-sectional study to see if there is a link between smoking and stomach cancer, and you discover that a link exists in men but not in women.<\/p>\n

You then decide to design a longitudinal study to further examine this relationship in men. Without the cross-sectional study first, you would not have known to focus on men in particular.<\/figure>\n

How to perform a longitudinal study<\/h2>\n

If you want to implement a longitudinal study, you have two choices: collecting your own data or using data already gathered by somebody else.<\/p>\n

Using data from other sources<\/h3>\n

Many governments or research centers carry out longitudinal studies and make the data freely available to the general public. For example, anyone can access data from the 1970 British Cohort Study, which has followed the lives of 17,000 Brits since their births in a single week in 1970, through the UK Data Service website<\/a>.<\/p>\n

These statistics are generally very trustworthy and allow you to investigate changes over a long period of time. However, they are more restrictive than data you collect yourself. To preserve the anonymity of the participants, the data collected is often aggregated so that it can only be analyzed on a regional level. You will also be restricted to whichever variables the original researchers decided to investigate.<\/p>\n

If you choose to go this route, you should carefully examine the source of the dataset as well as what data is available to you.<\/p>\n

Collecting your own data<\/h3>\n

If you choose to collect your own data, the way you go about it will be determined by the type of longitudinal study you choose to perform. You can choose to conduct a retrospective or a prospective study.<\/p>\n