In case your research revolves around observing the same group of participants, you need to know well how to conduct longitudinal study. Today we’ll focus on this type of research data collection and find out which scientific areas require it. Its peculiar features and differences from other research types will also be examined.
This article can help a lot with planning and organizing a research project over a long time period. Below you’ll find some tips on completing such work as well as a few helpful examples from a college paper writing service. Feel free to go on in case you aim to complete such work.
What Is a Longitudinal Study: Definition
Let’s define ‘longitudinal study’ to begin with. This is an approach when data from the same respondents’ group is gathered repeatedly over a period of time. The reason why the same individuals are continuously observed over an extended period is to find changes and trends which can be analyzed.
This approach is essentially observational as you aren’t expected to influence the group’s parameters you are monitoring in any way. It is typically used in scope of correlational research which means collecting data about variables without assuming any dependencies. Let’s find out more about its usage and how much time it could take.
How Long Are Longitudinal Studies?
How long is a longitudinal study? It depends on your topic and research goals. In case characteristics of the subject are changing fast, it might be enough to take just a few measurements one by one. Otherwise, one might have to wait for a long time before measuring again.
So, such projects can take weeks or months but they also can extend over years or even decades. Studies like that are common in medicine, psychology and sociology, where it is important to observe how participants’ characteristics evolve.
How to Perform Longitudinal Research?
Before actively engaging in longitudinal research, it is important to understand well what your next steps should be. Let’s define study subtypes that can be used for such research. They are:
- Collecting and analyzing your own data.
- Finding data already collected by some other researcher and analyzing it.
Each of these subtypes has certain pros and cons. Gathering data yourself usually gives more confidence but it might be hard to contact the right individuals. Let’s discuss each point in detail. Likewise, you can pay someone to write my research paper.
Longitudinal Study: Data From Other Sources
When doing longitudinal studies of a certain group over a long period, you might find available data about them left from other researchers. Make sure to carefully examine sources of each dataset you decide to reuse. Otherwise previous researchers’ mistakes or bias may influence your results after you’ve analyzed that data.
However this approach could be very efficient in case the subject has already been investigated by different researchers. Their results could be compared and gaps or bias could be easier to eliminate. As a result, much time and effort could be saved.
Longitudinal Design: Own Data
When doing longitudinal studies without any significant predecessors’ works available, using your own data is the only reasonable way. This data is collected through surveys, measurement or observations. Thus you have more confidence in these results however this approach requires more time and effort. You need proper research design methods prior to starting the collection process.
If you choose such an approach, keep in mind that it has two major subtypes:
- retrospective research: collecting data about past events.
- prospective research: observing ongoing events, making measurements in more or less real time.
Longitudinal Study Types
A longitudinal study can be applied to a wide range of cases. You need to adjust your approach, depending on a specific situation, subject’s peculiarities and your research goals. There are three major research types you can use for continuous observation:
- Longitudinal Cohort Study
- Retrospective Longitudinal Study
- Longitudinal Panel Study
Let’s take a closer look at each type’s definition with our coursework writing service. Dive deep to learn how data is collected and what impact is made on results.
Longitudinal Cohort Study
A cohort longitudinal study involves selecting a group based on some unique event which unifies them all. It can be their birth date, geographic location, or historical experience. So there are special relationships between that group’s members which play significant roles for the entire research process.
Such a peculiarity is to be carefully selected when doing test design and planning your test steps. Sometimes one unifying event may be more relevant or convenient than another.
Retrospective Longitudinal Study
This approach takes a special place among longitudinal studies as it involves conducting some historical investigations. As we’ve already mentioned above, during a retrospective, researchers have to make observations and measurements of past events. Collecting historical data and analyzing changes might be easier than tracking live data. However the development of such research design must include checking the credibility of datasets that were used for it.
Longitudinal Panel Study
A panel study involves sampling a cross-section of individuals. This approach is often used for collecting medical data. Such a study when performed continuously is considered more reliable compared to a regular cross sectional study and allows using smaller sample sizes, while still being representative. However, there are various problems that may occur during such studies, especially those which go on for decades. Particularly, such samples can be eventually eroded because of deaths, migration, fatigue, or even by development of response bias.
Longitudinal Research Design
Longitudinal study design requires some serious planning to complete it properly. Keep in mind that your purpose is to directly address some individual change and variation cases. The target population should be chosen carefully so that results achieved through this study would be accurate enough.
Another key element is deciding about proper timing. For example you would need bigger intervals to ensure you detect important changes. At the same time, dissertation writers suggest that the intervals shouldn’t be too big. Otherwise, you might lose track of the actual trends within your target population.
Advantages and Disadvantages of Longitudinal Study
Let’s review longitudinal study advantages and disadvantages. Better wrap your head around this information if you are still choosing an optimal approach for your own project. Any study that involves complicated planning and extensive techniques can have some downsides. It is common for them to come together with benefits. So pay close attention to the information below before deciding what method to choose to observe your research subject.
Advantages of Longitudinal Study
These are the benefits of longitudinal study:
- it can provide unique insight that might not be available any other way. Particularly, it is the only way to investigate lifespan issues. It allows researchers to track changes across the entire generation. Let’s suppose the task is to track the percentage of farms which pass from parents to children in a certain location. Obtaining such information requires using historical records.
- such observational approach shows dynamics in respondent’s data and thus allows to model trends and understand their influence. Collecting data once provides only a snapshot of your group’s current state. Doing it continuously allows you to observe this group from some new angles. For example, you would get more information about your respondents’ habits if you observe them at least several times.
Longitudinal Study Disadvantages
This is the disadvantages of longitudinal study:
- it can be quite expensive since numerous repeated measurements require enormous amounts of time and effort. Imagine you need to collect data about a certain group for 10 years. Processing this data alone would require a lot of resources.
- such high costs may induce another problem: researchers might decide to use lesser samples in order to cut the expenditures. Consequently, results of such studies may not be representative enough.
- its participants tend to drop out eventually. The reasons may vary: moving to another location, illness, death or just loss of motivation to participate further. As a result, a sample is shrinking and thus decreasing the amount of data collection in research. This process is called selective attrition. A typical example is observing the life of some neighborhood in a big city: numerous people would move in and out so it would be hard to find a single individual who is available for a long time.
Longitudinal Study Examples
Let’s review some longitudinal study example which would be helpful for illustrating the above information.
Longitudinal research example
A famous longitudinal case is The Terman Study of the Gifted also known previously as Genetic Studies of Genius. Its founder and the main researcher, Lewis Terman, aimed to investigate how highly intelligent children developed into adulthood. He was also going to disprove the then-prevalent belief that gifted children were typically delicate physically and also socially inept. Initial observations began in 1921, at Stanford University. Eventually it led to confirming that gifted children were not significantly different from their peers in terms of physical development and social skills.
The results of this study were still being compiled during the 2000s which makes it the oldest and longest-running longitudinal study in the world. Such a huge period of data collection made it possible to obtain some really unique knowledge, not only about children’s development but about the history of education as well.
Longitudinal: Final Thoughts
In this article we’ve explored the longitudinal research notion and reviewed its main characteristics:
- conducting observations and measurements continuously over a long period of time
- some particular new insights which can be obtained by prolonged studies
- prospective advantages and disadvantages for researchers.
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Frequently Asked Questions About Longitudinal Studies
1. Is a longitudinal study quantitative or qualitative?
According to the definition of a longitudinal study, quantitative methods don’t play any significant role in the process. This approach includes extended case studies, observing individuals over long periods and gaining additional insights thanks to the possibility to analyze changes over time. Since these observations and resulting assumptions mostly consist of descriptions of trends, changes and influences, we can say that it is a purely qualitative approach.
2. Are longitudinal studies more reliable?
Longitudinal studies in general have similar amounts of problems and risks as other studies do. This includes:
- survey aging and period effects.
- delayed results.
- achieving continuity in funding and research direction.
- cumulative attrition.
These factors can decrease reliability of this study type and must be taken into account when selecting such an approach.
3. Is attrition a limitation of longitudinal studies?
Depending on how big is the period they take, longitudinal studies may suffer more or less for the attrition factor. It can deteriorate generalizability of findings if participants who stay in a study are significantly different from those who drop out. In case a particular study takes many years, researchers need to see the attrition factor as a serious problem and to develop some ways to counter its negative effect.
4. What is longitudinal data collection?
Longitudinal data collection occurs sequentially from the same respondents over time. This is the core element of this study type. Repeated collection of data allows researchers to see temporal changes and understand what trends are there in this population. It allows viewing it from some new angles and thus to obtain new insights about it. There are certain limitations to such data collection, particularly when the target group tends to change over time.