- 23 Advantages and Disadvantages of Longitudinal Studies
- 1. Longitudinal studies make it easier to find long-term patterns.
- 2. They offer high validity levels through the collected data.
- 3. It uses observational methods for data collection.
- 4. The format limits the number of mistakes that can be made.
- 5. It offers unique and authentic data.
- 6. There is more flexibility to be found within longitudinal studies.
- 7. Data collection occurs in real-time.
- 8. It provides for multiple forms of data collection.
- 9. Longitudinal studies make an effort not to manipulate the environment.
- 10. It can be used to pursue developmental trends.
- 11. They can be used to establish a specific sequence of events.
- 12. It corrects for the cohort effect.
- 1. The format allows one person to influence the outcome of the study.
- 2. It offers direct costs that are much higher than other research styles.
- 3. Long-term studies often see sample sizes change over time.
- 4. It can be difficult to locate willing participants.
- 5. Longitudinal research relies heavily on the expertise of each researcher.
- 6. It can have questions of data accuracy.
- 7. Time is always an issue with a longitudinal study.
- 8. Study participants may not offer authentic information.
- 9. Funding is a major challenge for longitudinal studies.
- 10. Inaccuracies are common when analyzing data that is collected by this type of study.
- 11. The variable being studied may disappear over time.
- 17 Longitudinal Study Advantages and Disadvantages
- List of the Pros of Longitudinal Studies
- List of the Cons of Longitudinal Studies
- 13 Advantages of Disadvantages of Longitudinal Studies
- What Are the Advantages of Longitudinal Studies?
- What Are the Disadvantages of Longitudinal Studies?
- Readers ask: What is a weakness of a longitudinal study?
- What are some advantages and disadvantages of longitudinal studies?
- What is most ly the biggest problem with longitudinal research?
- What is one of the major drawbacks of the longitudinal method?
- What are the advantages and disadvantages of a cross-sectional versus a longitudinal study design?
- What is problem with longitudinal research?
- Which of the following is a disadvantage associated with longitudinal research?
- Which outcome is a disadvantage of a longitudinal research design?
- What is a longitudinal study example?
- Why are longitudinal studies good?
- Which is a major problem with longitudinal designs?
- What are some of the drawbacks to the case study method?
- What would be the greatest methodological limitation of a longitudinal design?
- What is one advantage of a cross-sectional study over a longitudinal study?
- Why is a cross-sectional study a limitation?
- What are differences between a longitudinal and cross-sectional studies?
23 Advantages and Disadvantages of Longitudinal Studies
Longitudinal studies are a form of observational research that is used to collect data. When this type of study is performed, a set of data is collected from each subject over a defined period. The same subjects are used for the research, which means the study can sometimes last for months, if not years.
It is the type of research that is most commonly performed when seeking out information in medical, sociological, or psychological arenas.
Here are the top advantages and disadvantages of longitudinal studies to consider when designing a research study.
1. Longitudinal studies make it easier to find long-term patterns.
Many research studies focus on short-term data alone. That means long-term data may offer patterns or information that cannot be collected.
A longitudinal study would be able to collect that long-term data and locate patterns within it that can benefit the field being researched.
This occurs because changes can be tracked over time as the same subjects are being used, allowing cause-and-effect relationships to be found.
2. They offer high validity levels through the collected data.
Because longitudinal studies are a long-term research project, there must be extensive policies and procedures in place from the very beginning of the project.
These policies and procedures then dictate the direction of the study, requiring researchers to follow their outline.
Because every data collection effort follows this establish protocol, longitudinal studies have high levels of validity because there is a certainty to the authenticity of the research. People can have confidence in the conclusions which are generated.
3. It uses observational methods for data collection.
Most longitudinal studies utilize observational data collection methods because of the long-term nature and design of the research. That makes the data much easier to collect when compared to other study formats.
It also provides consistent data that can be applied across all developed metrics.
Researches can then use this information to exclude differences or outliers in the data, increasing the overall accuracy of the research while excluding their own personal basis.
4. The format limits the number of mistakes that can be made.
Researchers may wish to draw their own conclusions from the data being collected, but the format of longitudinal studies prevents this from happening.
That means from the data collection process to the conclusions that are published, the information being presented has a limited number of mistakes contained within it.
That allows the data to be used to create needed changes within the researched field immediately, so that the rest of society can benefit from the conclusions.
5. It offers unique and authentic data.
Because longitudinal studies go directly to the source of information for data, what is collected is often authentic and unique.
The principles of data collection allow for long-term relationships to be discovered within the data while short-term benefits can still be collected. It essentially offers the best of both worlds to researchers.
Using the results from short-term data, researchers can pursue long-term data that may not have been considered when the study was first implemented.
6. There is more flexibility to be found within longitudinal studies.
Longitudinal studies can be designed to track a single data point. They can also be designed to track multiple metrics simultaneously. Researchers can pivot within the study if they find interesting or unique patterns in the data being collected.
Data relationships can be pursued to determine if there is something meaningful within that information.
At any time, a shift in focus is permitted if an interesting data point is discovered, which allows for the results and conclusions to be more complete when compared to other study formats and styles.
7. Data collection occurs in real-time.
Longitudinal studies happen in real-time, which means the data being collected is reflective of “now.
” That makes it possible for researchers to expand questions or follow tangents the responses they receive from each individual.
It creates more engagement, which builds a relationship between the subject and the researcher, and that can eventually lead to new insights that might have been held back otherwise.
8. It provides for multiple forms of data collection.
Human memory is a fickle beast. Two people can witness the same event and remember it in very different ways. This occurs because everyone has a unique perspective and their own experiences that affect their memory.
For that reason, longitudinal studies offer multiple methods of data collection to ensure the accuracy of what is being collected.
Video or audio recordings, diaries, journals, blogs – they can all contribute to the database of information that researchers collect, and then mine, to find conclusions that can be reached.
9. Longitudinal studies make an effort not to manipulate the environment.
This is the advantage of the observational approach that is used with this type of study. Instead of manipulating the environment to produce data, researchers simply collect the data that they can detect with their 5 senses.
Asking questions may seem world manipulation to some. What interviews provide is a way to access personalized information.
As long as the researcher is proceeding what they observe, the manipulation effect is not present within the researcher.
10. It can be used to pursue developmental trends.
Longitudinal research is often used to determine if developmental trends have any future benefit.
It is especially important when considering practical application fields family medicine to determine better methodologies that can be applied to the general population.
Researchers can also pursue trends that they observe on their own to see if there is any correlation between the subjects that would explain the information that they are seeing.
11. They can be used to establish a specific sequence of events.
One person who lives to the age of 100 can be an outlier in any community. Their combination of genetics, healthy living, and optimism, unique to them, can help them live long and happy lives. In a small community, having several people reach the age of 100 is no longer an outlier.
There is the potential that there is something present within their environment that is encouraging longer life.
Longitudinal studies make it possible to establish a specific sequence of events that would lead to such an outcome, offering the opportunity for that sequence to be duplicated elsewhere.
12. It corrects for the cohort effect.
Whenever there is a large group of people coming together for research purposes, you’re going to have a wide variety of individualized time components.
These range from their date of birth, to their current age at the time of the study, to their overall net worth.
The long-term nature of this type of study helps to correct any effects that might develop because of these differences, which reduces the individuality of the data that is collected.
1. The format allows one person to influence the outcome of the study.
Longitudinal studies rely on the expertise, creativity, and honesty of individual researchers for authentic conclusions. That reliance on the individual makes it possible for the data to be corrupted or conclusions to be inaccurate.
It does not need to be a purposeful manipulation of the data for the outcomes to be falsified.
Misinterpreting data can be just as damaging as purposely misleading the collection of the data and the results would be difficult, at first, to be proven invalid.
2. It offers direct costs that are much higher than other research styles.
Larger sample sizes are required for longitudinal research than in other styles. This requirement is in place because more data is necessary in long-term studies to determine if there are relationships or patterns within the data.
That means the direct costs of performing a longitudinal study are typically higher when compared to other research methods. More people must be contacted. More data must be examined. More time must be dedicated to the project.
Other research formats do not face these challenges.
3. Long-term studies often see sample sizes change over time.
Larger sample sizes are required for a longitudinal study because of the nature of life. People eventually grow old and die.
There may be accidents or natural disasters that occur during the data collection period for the study as well.
That means some data may need to be excluded from the research to avoid providing false results and it may be difficult to locate the data that must be removed.
4. It can be difficult to locate willing participants.
Would you want to be tracked over the next 20 years of your life about something? There are three groups of people that researchers encounter when creating a longitudinal study. One group are enthusiastic and willing to help in whatever way they can.
One group despises the idea of being contacted by researchers on a regular basis for a long time. The final group doesn’t really care and may not offer accurate data to researchers because of their apathy.
Researchers look for enthusiastic participants for authentic data and those folks aren’t always easy to find.
5. Longitudinal research relies heavily on the expertise of each researcher.
Data collection in longitudinal research occurs in real-time, but that means it relies on the skills of the researcher to collect.
The average researcher didn’t go to school for journalism, so their ability to recognize follow-up questions or focus on specific data points can be limited.
The quality of the data that is collected relies on the quality of the expertise that the researcher brings to the project. That means the quality of the data can also vary if multiple researchers are collecting data.
6. It can have questions of data accuracy.
With a longitudinal study, it only requires one inaccurate data point to throw the entire validity of the study into question. That inaccurate data point can even invalidate years of research and it doesn’t have to be a purposeful collection to cause problems.
Researchers are human, just the rest of us. They have a personal bias toward certain subjects or certain data points that influence how they work, whether they realize it or now.
It is not uncommon for researchers to draw conclusions about the data they are collecting before they’ve even collected the information.
7. Time is always an issue with a longitudinal study.
Researchers that begin a longitudinal study may not see the results that their study is able to generate. Some studies take several years to complete. One study, reported on by the Harvard Gazette, discusses a longitudinal study that will be 80 years old in 2018.
Scientists began tracking the health of 268 Harvard sophomores in 1938 and as of 2017, 19 of them were still alive. The information collected from this study is important, but it has taken nearly a century for the results to be conclusive.
As more data is collected, more time and resources must be utilized to go through the data and look for relationships as well.
8. Study participants may not offer authentic information.
Longitudinal studies involve the same participants over a long period of time. What happens to them can affect the data that is collected. It can also influence how future data is collected.
All of this is a working assumption that the individual involved is being honest and forthright with the researcher. Some people may stop participating altogether.
Unless there are policies and procedures in place that can help to prevent these outcomes, the validity of the study could be questioned before all the data is even collected.
9. Funding is a major challenge for longitudinal studies.
The costs of a longitudinal study don’t need to be prohibitive, but there are factors and influences that can make it difficult to justify the expense.
Outside of the actual research cost, many studies of this type must budget for incentives or rewards to encourage subjects to continue their participation.
Then, since participants are essentially compensated for providing data, researchers must ensure the information is valid because there will always be critics that question its validity. Some see the compensation of participants as a form of bribery.
10. Inaccuracies are common when analyzing data that is collected by this type of study.
Longitudinal studies often seen inaccuracies during the analysis of the data that is collected.
These inaccuracies often arise when hypothesis testing is applied to the collected data, much it would be for other types of research, such as a cross-sectional study.
When this occurs with a longitudinal study, the available data is often under-utilized, which increases the chances of a statistical error occurring.
11. The variable being studied may disappear over time.
Even with the best planning process enacted, policies and procedures cannot stop the fact that a studied variable may disappear from the population group being studied. Should such an event occur, the time and money invested into the research study would be wasted because no valid conclusions could be drawn from the collected data.
The advantages and disadvantages of longitudinal studies direct us toward the unique patterns and relationships of life.
Data that is collected is authentic and predictable, which allows researchers to draw conclusions from their findings.
For this type of study to work properly, however, there must be procedures in place from the very beginning to remove bias, inaccurate data, and other negative influences.
In return, the data collected has the potential to alter our perspectives in a number of fields.
17 Longitudinal Study Advantages and Disadvantages
Longitudinal studies are a research design which requires repeated observations of the same variables over specific time periods. These may be shorter examinations or designed to collect long-term data. Under most situations, it is treated as a type of observational study, although there are times when researchers can structure them as more of a randomized experiment.
Most longitudinal studies are used in either clinical psychology or social-personality observations. They are useful when observing the rapid fluctuations of emotion, thoughts, or behaviors between two specific baseline points. Some researchers use them to study life events, compare generational behaviors, or review developmental trends across individual lifetimes.
When they are observational, then longitudinal studies are able to observe the world without manipulating it in any way. That means they may have less power to detect casual relationships that may form in their observed subjects.
Because there are repeated observations performed at the individual level with this option, there is also more power than other studies to remove time-invariant differences while review the temporal order of events that occur.
The longest-running longitudinal study in the world today was started in 1921 by psychologist Lewis Terman. He wanted to investigate how highly intelligent children would develop as they turned into adults. The original study had over 1,000 participants, but that figure has dropped to under 200. Researchers plan to continue their work until there are no participants left.
These are the crucial longitudinal studies pros and cons to review before setting up this form of a panel study.
List of the Pros of Longitudinal Studies
1. This form of research is designed to be more flexible than other options.
There are times when a longitudinal study will look at one specific data point only when researchers begin observing their subjects.
You will also find that this option provides enough data when implemented to provide information on unanticipated relationships or patterns that may be meaningful in specific environments.
Since most of these studies are not designed to be lengthy, there are more options to pursue tangents here than in other research formats.
Researchers have an opportunity to pursue additional data points which were collected to determine if a shift in focus is necessary to review a complete set of information. If there is something interesting found in the material, then longitudinal studies allow for an option to pursue them.
2. The accuracy rate of the data collected during longitudinal studies is high.
When researchers decide to follow longitudinal studies to collect observational data, then the accurate rate of the information they collect is high because everything occurs in a real-time situation.
Although mistakes do happen because no one is perfect, the structure and foundation of this option limits the problems that can occur. This information is also useful in the implementation of changes that may be necessary to achieve the best possible outcome during an observational period.’
3. This research method can identify unique developmental trends.
When researchers pursue a short-term longitudinal study, then they are looking for answers to very specific questions. If a long-term model is developed, there is an opportunity to identify specific developmental trends that occur in various fields, including sociology, psychology, and general medicine.
Researchers using longitudinal studies have opportunities to track multiple generations in specific family groups while still collecting real-time data on all of the individuals being tracked to see how current decisions can influence future outcomes for some population demographics.
4. It allows for the consistent use of the observational method.
It is a simpler process to collect information when using longitudinal studies for research because it almost always uses the observational method.
This structure makes it possible to collect consistent data samples at the individual level instead of relying on extrapolation or other methods of personal identification.
It is the consistency offered in this approach which provides for exclusion differences for individuals, making it possible to exclude variations that could adversely impact outcomes as it happens with other research options.
5. Longitudinal studies allow for unique a specific data points to be collected.
Most research study options provide a structure where data is available over a short time period for collection, offering a small window where cause-and-effect examples can be observed.
Longitudinal studies provide an option to increase the amount of time provided for researchers to collect their data, sometimes on a very dramatic scale. There are some studies which are measured in decades or centuries instead of days, weeks, or months.
This process makes it possible to examine the macro- and micro-changes that can occur in the various fields of humanity.
6. This process allows for higher levels of research validity.
For any research project to be successful, there are laws, regulations, and rules that must be instituted from the very beginning to ensure all researchers follow the same path of data collection.
This structure makes it possible of multiple people to collect similar information from unique individuals because everyone is following the same set of processes.
It creates a result that offers higher levels of validity because it is a simpler process to verify the data that is being developed from the direct observations of others.
7. There are three different types of longitudinal studies available for use.
Researchers have access to three significant types of longitudinal studies to collect the information that they require.
Panel studies are the first option, and they involve a sampling of a cross-section of individuals.
Cohort studies are the second type, which involves the selection of a group specific events, such as their historical experience, household location, or place of birth.
The final option is called a retrospective study. This option looks at the past by reviewing historical information, such as medical records, to determine if there is a pattern in the data that is useful.
List of the Cons of Longitudinal Studies
1. The structure makes it possible for one person to change everything.
Longitudinal studies have a robust reliance on the individual interpretations that researchers develop after making their observations.
That makes it possible for personal bias, inexperience, or a mistake to inadvertently alter the data being collected in real-time situations. This issue makes it possible for the information to be invalid without researchers realizing that this disadvantage is present in their work.
Even if there are numerous people involved with a project, it is possible for a single person to disrupt potentially decades of work because of their incorrect (and possibly inadvertent) approach.
2. It is more expensive to perform longitudinal studies than other research methods.
This disadvantage typically applies to the research studies which are designed to take longer periods of time to collect relevant information.
Because observations may last for several years (if not decades), the organizations which are behind the effort of information retention can discover that their costs can be up to 50% higher in some situations when they choose this method over the other options that are available.
Although the value of the research remains high, some may find the cost to be a significant barrier to cross.
3. The information collected by researchers may have few controls.
The real-time observational data that researchers collect during longitudinal studies is both informative and efficient from a cost perspective when looking at short-term situations.
One of the problems that this method encounters is that the information being collected comes from a relatively small number of individuals.
Unless it is built into the rules for collection, there may be no controls in place for environmental factors or cultural differences between the individuals involved.
4. It can be challenging for longitudinal research to adapt to changes.
There is sometimes no follow up to identify changes in thinking or operations that occur when using longitudinal studies as the primary basis of information collection.
Researchers sometimes fail to compare attitudes, behaviors, or perceptions from one point of time to another. Most people change as time passes because they have more information available to them upon which they can draw an opinion. Some people can be very different today than they were 10 years ago.
Unless the structures are flexible enough to recognize and adapt to this situation, then the data they gather may not be as useful as it should be.
5. Longitudinal studies often require a larger sample size.
Researchers use longitudinal studies to develop a recognition for patterns and relationships.
That means there is a large amount of data that must be collected from numerous individual sources to draw meaningful connections to the topic under study.
If there is not a significant sample size available to researchers for the project, then there may not be enough information available to find specific conclusions.
Even when there is enough data present for researchers to use, the sheer size of what they collect can require data mining efforts that can take time to sort out.
6. Some people do not authentically participate in longitudinal studies.
As with any other form of research that is performed today, you will encounter individuals who behave artificially because they know they are part of a longitudinal study program.
When this issue occurs, then it becomes challenging for researchers to sort out what the authentic and inauthentic emotions, thoughts, and behaviors are from each other.
Some participants may try to behave in the ways that they believe the researchers want to create specific results.
A study by psychologist Robert S. Feldmen and conducted by the University of Massachusetts found that 60% of people lie at least once during a 10-minute conversation. The average person will lie 2-3 times during that discussion.
The content of fibs varies between men and women, trying to make themselves look better or to make the person they are talking to feel good respectively.
Researchers must recognize this trait early to remove this potential disadvantage.
7. Longitudinal studies rely on the skill set of the researchers.
The data that longitudinal studies collects is presented in real-time to researchers, which means it relies on their individual skills to make it useful.
Those who are tasked with this job must follow a specific set of steps to ensure that there is authenticity and value to what they observe. Even if you offer step-by-step guidelines on how to perform the work, two different researchers may interpret the instructions differently, which can then lead to an adverse result.
The personal views of the information being collected can also impact the results in ways that are not useful.
8. The data that is collected from longitudinal studies may not be reliable.
Although the goal of longitudinal studies is to identify patterns, inaccuracies in the information collected can lead to incorrect interpretations of choices, thoughts, and behaviors.
All it takes is one piece of data to be inaccurate for the results to be impacted in negative ways. It is possible that the findings of the research could be invalidated by just one incorrect interpretation of a real-time result.
That is why any conclusion made using this method is often taken with a “grain of salt” with regard to its viability.
9. There is a time element to consider with longitudinal studies.
Researchers may find that it requires several years of direct observation before any meaningful data becomes available through longitudinal studies.
Some relationships or observable behaviors may never occur even though it seems they should, which means this time investment may never offer dividends.
These studies must have the means to maintain continuously open lines of communication with all of the involved parties to ensure that the quality of the data remains high throughout the entire effort.
10. Longitudinal studies always offer a factor of unpredictability.
Because the structure of longitudinal studies will follow the same individuals over an extended time period, what happens to each person outside of the scope of the research can have a direct impact on the eventual findings that researchers develop.
Some people may choose to stop participating in the study altogether, which may reduce the validity of the final result when published. It is possible for some individuals or households to shift their demographic profile so that they are no longer viable candidates for the research.
Unless these factors are included in the initial structure of the project, then the findings that are developed from the work could be invalid.
The pros and cons of longitudinal studies provides us with a valuable foundation of data that makes it possible to recognize long-term relationships, determine their value, and where it may be possible to make healthy changes in numerous fields. There are certain risks to consider with this process that may create unpredictable outcomes, but it is also through this research method that we will ly find new ways to transform numerous scientific and medical fields in the future.
Natalie Regoli is a child of God, devoted wife, and mother of two boys. She has a Master's Degree in Law from The University of Texas. Natalie has been published in several national journals and has been practicing law for 18 years.
13 Advantages of Disadvantages of Longitudinal Studies
Longitudinal studies are a method of observational research. In this type of study, data is gathered from the same subjects repeatedly over a defined period. Because of this structure, it is possible for a longitudinal study to last for several years or even several decades. This form of research is common in the areas of sociology, psychology, and medicine.
The primary advantage of using this form of research is that it can help find patterns that may occur over long periods, but would not be observed over short periods. Changes can be tracked so that cause and effect relationships can be discovered.
The primary disadvantage of using longitudinal studies for research is that long-term research increases the chances of unpredictable outcomes. If the same people cannot be found for a study update, then the research ceases.
Here are some additional key advantages and disadvantages of longitudinal studies to think about.
What Are the Advantages of Longitudinal Studies?
1. It allows for high levels of validity.
For a long-term study to be successful, there must be rules and regulations in place at the beginning that dictate the path that researchers must follow.
The end goal of the research must be defined at the beginning of the process as well, with outlined steps in place that verify the authenticity of the data being collected.
This means high levels of data validity are often available through longitudinal studies.
2. The data collected is unique.
Most research studies will collect short-term data to determine the cause-and-effect of what is being researched.
Longitudinal studies follow the same principles, but extend the timeframe for data collection on a dramatic scale.
Long-term relationships cannot be discovered in short-term research, but short-term relationships can be tracked in long-term research.
3. Most will use the observational method.
Because longitudinal studies will use the observational method for data collection more often than not, it is easier to collect consistent data at a personal level.
This consistency allows for differences to be excluded on a personal level, making it easier to exclude variations that could affect data outcomes in other research methods.
4. It makes it possible to identify developmental trends.
Whether in medicine, psychology, or sociology, the long-term design of a longitudinal study makes it possible to find trends and relationships within the data collected.
It isn’t just the span of a human life that can be tracked with this type of research. Multiple generations can have real-time data collected and analyzed to find trends.
Observational changes can also be made from past data so it can be applied to future outcomes.
5. Data collection accuracy is almost always high.
Because data is collected in real-time using observational data, the collection process is almost always accurate.
Humans are fallible beings, so mistakes are always possible, but the structure of this research format limits those mistakes.
That data can also be used to implement necessary changes that a course of action may need to take so the best possible outcome can be identified.
6. Longitudinal studies can be designed for flexibility.
Although a longitudinal study may be created to study one specific data point, the collected data may show unanticipated patterns or relationships that may be meaningful.
Because this is a long-term study, there is a flexibility available to researchers that is not available in other research formats.
Additional data points can be collected to study the unanticipated findings, allowing for shifts in focus to occur whenever something interesting is found.
What Are the Disadvantages of Longitudinal Studies?
1. There is a factor of unpredictability always present.
Because longitudinal studies involve the same subjects over a long period, what happens to them outside of the data collection moments can influence future data being collected.
Some people may choose to stop participating in the research. Others may no longer find themselves in the correct demographics for the research.
If these factors are not included in the initial design of the research, then it could invalidate the findings that are produced.
2. It takes time.
Researchers involved with longitudinal studies may never see the full outcome of their work. It may take several years before the data begins producing observable patterns or relationships that can be tracked. That means the ability to maintain open lines of communication with all researchers is vitally important to the eventual success of the study.
3. The data gathered by longitudinal studies is not always accurate or reliable.
It only takes one piece of unreliable or inaccurate data to possibly invalidate the findings that the longitudinal studies produce.
Because humans have their own personal bias toward certain subjects, the researcher processing the data may unconsciously alter the data to produce intended results.
4. It relies on the skills of the researchers to be complete.
Because data collection occurs in real-time and relies heavily on the skills of the researchers who are tasked with this job, the quality of the data is heavily reliant on those skills.
Two different researchers with varying skill levels can produce very different data points from the same subject material. Personal views of the data being collected can also impact the results on both ends, from the subject or the collector.
5. Large sample sizes are required to make the research meaningful.
To develop relationships or patterns, a large amount of data must be collected and then mined to create results.
That means a large sample size is required so the amount of data being collected can meet expectations.
When the subjects being studied are people, it can be difficult to find enough people who are willing to honestly participate in the longitudinal studies.
6. There is a direct cost that is higher than other forms of research.
Longitudinal research requires a larger sample size, which means there is a larger cost involved in contacting subjects to collect data.
It is also a long-term form of research, which means the costs of the study will be extended for years, or decades, when other forms of research may be completed in a fraction of that time.
7. One person can change a long-term outcome.
Because there is such a reliance on individual interpretations within longitudinal studies, it is possible for one person to inadvertently alter or invalidate the data being collected. It is entirely possible for decades of research to be invalidated because one subject or researcher was misleading.
The advantages and disadvantages of longitudinal studies show us that there is a tremendous value available in the ability to find long-term patterns and relationships.
If the unpredictable factors of this research format can be planned for in advance and steps taken to remove bias, the data collected offers the potential to dramatically change the fields of medicine, psychology, or sociology.
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Readers ask: What is a weakness of a longitudinal study?
There are, of course, drawbacks to longitudinal studies, panel attrition being one of them. Another weakness is that while longitudinal data is being collected at multiple points, those observation periods are pre-determined and cannot take into account whatever has happened in between those touch points.
What are some advantages and disadvantages of longitudinal studies?
What are the pros and cons of a longitudinal study? Longitudinal studies are better to establish the correct sequence of events, identify changes over time, and provide insight into cause-and-effect relationships, but they also tend to be more expensive and time-consuming than other types of studies.
What is most ly the biggest problem with longitudinal research?
The biggest problem in longitudinal research comes from changing historical context. Seeks to understand how and why people of all ages and circumstances change or remain the same over time. a time when a certain type of development is most ly, although it may still happen later.
What is one of the major drawbacks of the longitudinal method?
Another huge drawback to any longitudinal study is the great amount of time it needs to collect all the data that is needed. Usually, it takes a long period of time to gather results before you can start making patterns.
What are the advantages and disadvantages of a cross-sectional versus a longitudinal study design?
Longitudinal study is conducted with the same sample over the years. Cross-sectional studies cannot pin down cause-and-effect relationship. Longitudinal study can justify cause-and-effect relationship. Multiple variables can be studied at a single point in time.
What is problem with longitudinal research?
However, the longitudinal survey also has significant problems, notably in confounding aging and period effects, delayed results, achieving continuity in funding and research direction, and cumulative attrition.
Which of the following is a disadvantage associated with longitudinal research?
Disadvantages of longitudinal studies are associated with the length of time it takes to conduct the research, the cost of sustaining the study over time, and the potential for participants to “drop out” in the course of the study (research mortality).
Which outcome is a disadvantage of a longitudinal research design?
Research time The main disadvantage of longitudinal surveys is that long-term research is more ly to give unpredictable results. For example, if the same person is not found to update the study, the research cannot be carried out.
What is a longitudinal study example?
Longitudinal research is occasionally used to study unique individual cases. Longitudinal case studies are studies that gather copious amounts of data on a single person or small group of people. For example, a five-year study of children learning to read would be a cohort longitudinal study.
Why are longitudinal studies good?
The benefit of a longitudinal study is that researchers are able to detect developments or changes in the characteristics of the target population at both the group and the individual level. The key here is that longitudinal studies extend beyond a single moment in time.
Which is a major problem with longitudinal designs?
The main challenge of using a longitudinal design is the cost in time and resources. These studies are much more expensive and take much longer to conduct than a cross-sectional study with the same number of participants. A second issue is the impact of repeated testing.
What are some of the drawbacks to the case study method?
Disadvantage of Case Study Method of Data Collection
- Limited Representatives. Due to as narrow focuses a case study has limited representatives and generalization is impossible.
- No Classification.
- Possibility of Errors.
- Subjective Method.
- No Easy and Simple.
- Bias Can Occur.
- No Fixed Limits.
- Costly and Time Consuming.
What would be the greatest methodological limitation of a longitudinal design?
What would be the greatest methodological limitation of a longitudinal design? (See pp. 52-56 in the book.) – the loss of participants over time due to death, relocation, divorce, etc.
What is one advantage of a cross-sectional study over a longitudinal study?
A key advantage using cross-sequential designs is that it allows researchers to examine multiple age groups in a short period of time, compared to longitudinal designs. It also enables researchers to test for cohort effects, which is often not possible in a usual longitudinal design.
Why is a cross-sectional study a limitation?
The primary limitation of cross-sectional studies is that the temporal link between the outcome and the exposure cannot be determined because both are examined at the same time. With a cross-sectional study, it is impossible to determine whether the inability to reproduce exacerbates the stereotypies or the contrary.
What are differences between a longitudinal and cross-sectional studies?
Longitudinal studies differ from one-off, or cross-sectional, studies. The main difference is that cross-sectional studies interview a fresh sample of people each time they are carried out, whereas longitudinal studies follow the same sample of people over time.