What is cross sectional research?
In cross sectional research, researchers observe the specific point at the same time.
What are examples of cross sectional research?
- Observation of different computer parts to measure the computer speed changing rate(as represented in figure1).
Characteristics of cross-sectional research
Below are some characteristics of cross-sectional research:
- There is a single point in time in which the study takes place.
- There are no manipulating variables to interfere and influence.
- The researcher can observe various characteristics at the same time such as age, gender, income, etc.
- Cross-sectional research often investigates the prevailing and common characteristics of a particular population.
- It provides the current situation and conditions of the population.
- Cross-sectional research can be conducted with the same variables within a set period.
Advantages of cross-sectional research
Following are the advantages that support cross-sectional research:
- Multiple variables
Cross-sectional research can study multiple variables such as age, sex, income, socio-economic status, educational status, and so on.
- Further study
Although cross-sectional research doesn’t focus on causes of any occurrence, it helps in further study. It gives clues for more experiments and investigations.
- Inexpensive and fast
The researchers collect large data from a large population in minimum time while doing this study. They use self-report surveys that are unexpensive sources to collect data.
Disadvantages of cross-sectional research
There are also some disadvantages that can’t be ignored as well:
- Cohort differences
In cross-sectional studies, there may be a cohort difference. People born in different eras can have different experiences. In this scenario, it is difficult to analyze data appropriately.
- Can’t differentiate cause and effect
Unlike other research, cross-sectional studies don’t allow the cause to interfere with the outcomes. This makes investigations pretty difficult.
- Report biases
Data collected through questionnaires and surveys from people doesn’t give accurate results. It could be biased and unverified.
Types of cross-sectional research
There are two types of studies in cross-sectional research:
- Analytical study
The analytical study tells that how the outcome could occur. reason for the specific outcome.
- Descriptive study
It only tells the outcome.
Examples of descriptive and analytical study
- A student faces failure in his monthly assessment. (Descriptive study)
- How can he improve his learning ability? (Analytical study)
Cross-sectional research examples
We can see many examples of cross-sectional research from various perspectives:
If you bring any change in your offering and come to know the response of the people from the same geographic segment having different socioeconomic status, you can conduct this research.
You can use cross-sectional research to evaluate the spending trends between men and women of a specific age.
Scientists in healthcare perform this cross-sectional study to investigate the children of specific age suffering from iron deficiency.
A cross-sectional study also helps in Psychology to evaluate people according to their socio-economic status, age, gender identity, etc.
Cross-sectional research has a key role in education. Through this study, the researchers can investigate the performance of the students keeping in view their specific age, mental level, learning ability, and curriculum.
You must also know the following topics
cross-sectional and longitudinal research pdf | longitudinal study advantages and disadvantages | longitudinal study child development | longitudinal study vs cross-sectional study | longitudinal cohort study | cross-sectional research | famous longitudinal studies | cross-sectional study psychology