Cross Sectional Design In Research Methods

However in a repeated cross sectional survey respondents to the survey at one point in time are not intentionally sampled again although a respondent to one administration of the survey could be randomly selected for a subsequent one.

Cross sectional design in research methods. Types of cross sectional studies. In general the research should drive the design. Here are the advantages and disadvantages of cross sectional studies to consider.

A cross sectional study involves looking at data from a population at one specific point in time. Published on may 8 2020 by lauren thomas. Above research design it is decided that cross functional research design are more appropriate for the research paper.

Cohort cross sectional and case control studies are collectively referred to as observational studies. Cross sectional studies are much cheaper to perform than other options that are available to researchers. It is an affordable study method.

Cross sectional design in the sage encyclopedia of social science research methods. When you conduct a cross sectional research study you will engage in one or both types of research. The participants in this type of study are selected based on particular variables of interest.

Cross sectional studies are often used in developmental psychology but this method is also used in many other areas including social science and education. The longitudinal study design would account for cholesterol levels at the onset of a walking regime and as the walking behaviour continued over time. List of the advantages of a cross sectional study 1.

Often these studies are the only practicable method of studying various problems for example studies of aetiology instances where a randomised controlled trial might be unethical or if the condition to be studied is rare. That is because there is no follow up required with this type of research. 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.