Cross Sectional Study Design

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 a sample population or a pre defined subset.
Cross sectional study design. Cross sectional studies are much cheaper to perform than other options that are available to researchers. In general the research should drive the design. Here are the advantages and disadvantages of cross sectional studies to consider.
Although cross sectional research does not involve conducting. This means there is no experimental procedure so no variables are manipulated by the. In this type of research study either the entire population or a subset thereof is selected and from these individuals data are collected to help answer research questions of interest.
Revised on june 5 2020. Issues in the design of cross sectional surveys. The reason why it is known as the cross sectional study design is due to the information regarding x and y.
A cross sectional study should be representative of the population if generalizations from the findings are to have any validity. Choosing a representative sample. This study type is also known as cross sectional analysis transverse study or prevalence study.
Cross sectional design is one of the most well known and commonly used study designs in this kind of study the subset of the population or the whole population is chosen and from the selected participants data is gathered for the purpose of helping answer research questions of interest. That is because there is no follow up required with this type of research. Published on may 8 2020 by lauren thomas.
Cross sectional studies are often used in developmental psychology but this method is also used in many other areas including social science and education. In cross sectional research you observe variables without influencing them. The longitudinal study design would account for cholesterol levels at the onset of a walking regime and as the walking behaviour continued over time.