In contrast to above said , A correlational study determines whether or not two variables are having any sort of correlation among themselves or not. This tells us that whether an increase or decrease in one variable corresponds to an quantitative increase or decline in the value of other variable.

Dear Mohammed,

Cross-sectional studies are study designs (data collected at a single point of time). Correlational studies actually means studying two variables which are continuous (correlation analysis). Such analysis could be performed in a cross-sectional study. It does suggest the associations between two variables but could not establish temporality between them.

we can define cross-sectional study as one typical observational study which analyzes data collected from a population, or a representative subset, at a specific point in time from a particular case of ,cross-sectional data sets.

In contrast to above said , A correlational study determines whether or not two variables are having any sort of correlation among themselves or not. This tells us that whether an increase or decrease in one variable corresponds to an quantitative increase or decline in the value of other variable.

A cross-sectional research design involves collecting data from a population of varying demographic characteristics at the same time. A correlational research design involves determining the relationship between two variables. It should be noted that data collected in a cross-sectional research can analysed using correlational approaches as long as it involves establishing whether there is a relationship between two variables. Therefore, a correlational approach of data handling may be used in a cross-sectional design, but the reverse is not true!