Rating Scale Try a free Voxco Online sample survey! Unlock your Sample Survey SHARE THE ARTICLE ON Share on fac ...
"; var wpa_add_test = "no";
Testen Sie eine kostenlose Voxco Online-Beispielumfrage!
SHARE THE ARTICLE ON
In cross-sectional surveys, the study takes place at a single point in time. Hence, cross-sectional surveys do not entail the manipulation of the variables under study, and are limited in that way. Cross-sectional surveys allow researchers to study various characteristics, such as the demographic structure of the consumers, their interests, and attitudes, all at once. It aims to provide information about the population at the current moment in time. For example, cross-sectional surveys will tell us how the consumer is responding and feeling about the product at the present moment. It does not study the other variables that may affect the consumers’ reactions to the product in the future.
Cross-sectional studies are also known as transverse study or prevalence study. Researchers use cross-sectional research in physical and social sciences as well as business industries in order to understand the outcomes of the real world. Cross-sectional studies do not include experiments.
This article covers what a cross-sectional study is, its types, characteristics as well as its advantages.
One way to understand cross-sectional research is to think of a photograph of a family reunion. The people in the photograph help in determining what is happening in the moment, at the current time. Everyone has one variable in common – being biologically related – and variables that they do not share, example; education level. From the starting point till the end, you can use this photograph to make several observations about the family. Thus, a cross-sectional research basically helps you analyse the “pulse” of the population at any given time with the help of the data collected.
Researchers can also conduct a cross-sectional study to understand the variables that are prevailing in the population or affecting it at any given point. For example, researchers can use past data to analyse the effects of past smoking habits on the current diagnosis of lung cancer.
See Voxco in action
The data that is collected for a cross-sectional study includes participants that are similar to each other except the variable which is under review. This variable is held constant for the entire study. This is different from a longitudinal study in which variables do then to change from time to time. Some examples of cross-sectional studies are:
Learn how to meet respondents where they are, drive survey completion while offering a seamless experience, Every Time!
Cross-sectional study tends to be either descriptive or analytical. In some cases, it is also a mix of both.
If you are curious about whether conducting a cross-sectional study would be the right approach for your market research, then this section of the article has you covered. Surveys are an exceptionally efficient way to gather data which can be informative and insightful. We have outlined some of the advantages of conducting a cross-sectional study below:
However, cross-sectional studies do have some disadvantages which you can read here.
Although both cross-sectional and longitudinal research methods are quantitative in nature, there are several differences amongst them. In a cross-sectional study, researchers collect data of a variable at a specific point in time while in a longitudinal study, the data is collected at different times. In longitudinal studies, variables tend to change over time as well.
Researchers use cross-sectional research to find commonalities between different variables. They use longitudinal studies in order to dissect the findings of the cross-sectional study further.
More cross-sectional study examples
In this section, we will understand cross-sectional research more in depth with the help of two examples.
Let us consider a researcher who is aiming to study developmental psychology. He/she may select groups of people who are of different ages but study them at one point in time. In this way, the difference between the groups will be attributed to their age differences instead of other variables that may happen over time.
Another example of a cross-sectional study would be a medical health care professional who is aiming to explore the prevalence rates of cancer in men. Here, the researcher can evaluate people from different ages, races, socio-economic backgrounds, and geographical locations. Let’s say, if the researcher finds out that cancer is more prevalent in one age group irrespective of the other variables. This will help them underline the risk factor that age proposes in the development of cancer. The researcher can further explore the phenomena of age and diseases if he finds out that men from that particular age group are also prone to other diseases. A longitudinal study is the most recommended for this future study as it will examine the same participants over a period of time.
Download the report to access Forrester's recommendations for selecting a VoC vendor