In this article, we’ll cover all you need to know about longitudinal research.
Let’s take a closer look at the defining characteristics of longitudinal studies, review the pros and cons of this type of research, and share some useful longitudinal study examples.
A longitudinal study is a research conducted over an extended period of time. It is mostly used in medical research and other areas like psychology or sociology.
When using this method, a longitudinal survey can pay off with actionable insights when you have the time to engage in a long-term research project.
Longitudinal studies often use surveys to collect data that is either qualitative or quantitative. Additionally, in a longitudinal study, a survey creator does not interfere with survey participants. Instead, the survey creator distributes questionnaires over time to observe changes in participants, behaviors, or attitudes.
Many medical studies are longitudinal; researchers note and collect data from the same subjects over what can be many years.
Longitudinal studies are versatile, repeatable, and able to account for quantitative and qualitative data. Consider the three major types of longitudinal studies for future research:
Panel study: A panel survey involves a sample of people from a more significant population and is conducted at specified intervals for a more extended period.
One of the panel study’s essential features is that researchers collect data from the same sample at different points in time. Most panel studies are designed for quantitative analysis, though they may also be used to collect qualitative data and analysis.
Cohort Study: A cohort study samples a cohort (a group of people who typically experience the same event at a given point in time). Medical researchers tend to conduct cohort studies. Some might consider clinical trials similar to cohort studies.
In cohort studies, researchers merely observe participants without intervention, unlike clinical trials in which participants undergo tests.
Retrospective study: A retrospective study uses already existing data, collected during previously conducted research with similar methodology and variables.
While doing a retrospective study, the researcher uses an administrative database, pre-existing medical records, or one-to-one interviews.
As we’ve demonstrated, a longitudinal study is useful in science, medicine, and many other fields. There are many reasons why a researcher might want to conduct a longitudinal study. One of the essential reasons is, longitudinal studies give unique insights that many other types of research fail to provide.
Additional data points can be collected to study unexpected findings, allowing changes to be made to the survey based on the approach that is detected.
The advantages and disadvantages of longitudinal studies show us that there is enormous value in the ability to find long-term patterns and relationships, so it is important to plan and take the necessary steps to avoid potential bias.
Longitudinal studies are often confused with cross-sectional studies. Unlike longitudinal studies, where the research variables can change during a study, a cross-sectional study observes a single instance with all variables remaining the same throughout the study.
A longitudinal study may follow up on a cross-sectional study to investigate the relationship between the variables more thoroughly.
|Longitudinal studies||Cross-sectional studies|
|Longitudinal studies take a longer time, from years
to even a few decades.
|Cross-sectional studies are quick to conduct compared to longitudinal studies.|
|A longitudinal study requires an investigator to
observe the participants at different time intervals.
|A cross-sectional study is conducted over a specified period of time.|
|Longitudinal studies can offer researchers a cause
and effect relationship.
|Cross-sectional studies cannot offer researchers a cause-and-effect relationship.|
|In longitudinal studies, only one variable can be
observed or studied.
|With cross-sectional studies, different variables can be observed at a single moment.|
|Longitudinal studies tend to be more expensive.||Cross-sectional studies are more accessible for companies and researchers.|
The design of the study is highly dependent on the nature of the research questions. Whenever a researcher decides to collect data by surveying their participants, what matters most are the questions that are asked in the survey.
Knowing what information a study should gather is the first step in determining how to conduct the rest of the study.
With a longitudinal study, you can measure and compare various business and branding aspects by deploying surveys. Some of the classic examples of surveys that researchers can use for longitudinal studies are:
Market trends and brand awareness: Use a market research survey and marketing survey to identify market trends and develop brand awareness.
Through these surveys, businesses or organizations can learn what customers want and what they will discard. This study can be carried over time to assess market trends repeatedly, as they are volatile and tend to change constantly.
Product feedback: If a business or brand launches a new product and wants to know how it is faring with consumers, product feedback surveys are a great option.
Collect feedback from customers about the product over an extended time. Once you’ve collected the data, it’s time to put that feedback into practice and improve your offerings.
Customer satisfaction: Customer satisfaction surveys help an organization get to know the level of satisfaction or dissatisfaction among its customers.
A longitudinal survey can gain feedback from new and regular customers for as long as you’d like to collect it, so it’s useful whether you’re starting a business or hoping to make some improvements to an established brand.
Employee engagement: When you check in regularly over time with a longitudinal survey, you’ll get a big-picture perspective of your company culture.
Find out whether employees feel comfortable collaborating with colleagues and gauge their level of motivation at work.
Now that you know the basics of how researchers use longitudinal studies across several disciplines let’s review the following examples:
Example 1: Identical twins
Consider a study conducted to understand the similarities or differences between identical twins who are brought up together versus identical twins who were not. The study observes several variables, but the constant is that all the participants have identical twins.
In this case, researchers would want to observe these participants from childhood to adulthood, to understand how growing up in different environments influences traits, habits, and personality.
Over many years, researchers can see both sets of twins as they experience life without intervention. Because the participants share the same genes, it is assumed that any differences are due to environmental factors, but only an attentive study can conclude those assumptions.
Example 2: Violence and video games
A group of researchers is studying whether there is a link between violence and video game usage. They collect a large sample of participants for the study. To reduce the amount of interference with their natural habits, these individuals come from a population that already plays video games. The age group is focused on teenagers (13-19 years old).
The researchers record how prone to violence participants in the sample are at the onset. It creates a baseline for later comparisons.
Now the researchers will give a log to each participant to keep track of how much and how frequently they play and how much time they spend playing video games. This study can go on for months or years. During this time, the researcher can compare video game-playing behaviors with violent tendencies. Thus, investigating whether there is a link between violence and video games.
Conducting a longitudinal study with surveys is straightforward and applicable to almost any discipline. With our survey software you can easily start your own survey today.