What Is Cross Sectional Research Design

Cross functional research design is one of the most popular research designs among other research design and which is also known as social survey design as well.

What is cross sectional research design. Researchers record the information that is present in a population but they do not manipulate variables. The reason why it is known as the cross sectional study design is due to the information regarding x and y which is collected shows what happens at a single point of time. This study type is also known as cross sectional analysis transverse study or prevalence study.

A cross sectional study is a type of research design in which you collect data from many different individuals at a single point in time. According to easterby smith et al. Revised on june 5 2020.

In other words data are collected on a snapshot basis as opposed to collecting data at multiple points in time for example once a week once a month etc and assessing how it changes over time. A cross sectional study also referred to as cross sectional research is simply a study in which data are collected at one point in time. Cross sectional studies are observational in nature and are known as descriptive research not causal or relational meaning that you can t use them to determine the cause of something such as a disease.

Definition a cross sectional study is defined as a type of observational research that analyzes data of variables collected at one given point in time across asamplepopulation or a pre defined subset. A common example of cross sectional design is a census study in which a population is surveyed at one point in time in order to describe characteristics of that population including age sex and geographic location among other characteristics. Researchers in economics psychology medicine epidemiology and the other social sciences all make use of cross sectional studies in their work.

In cross sectional research you observe variables without influencing them. A cross sectional survey collects data to make inferences about a population of interest universe at one point in time. Cross sectional surveys have been described as snapshots of the populations about which they gather data.

In cross sectional designs researchers record information but do not manipulate variables.