Jump to navigation Jump to search Cross-sectional data, or a cross section of a study populationin statistics and econometrics is a type of data collected by observing many subjects such as individuals, firms, countries, or regions at the same point of time, or without regard to differences in time. Analysis of cross-sectional data usually consists of comparing the differences among the subjects.
The column covered over 35 common research terms used in the health and social sciences. The complete collection of defined terms is available online or in a guide that can be downloaded from the website. August Study design depends greatly on the nature of the research question.
In other words, knowing what kind of information the study should collect is a first step in determining how the study will be carried out also known as the methodology. Do we Cross sectional to compare cholesterol levels among different populations of walkers and non-walkers at the same point in time?
Or, do we want to measure cholesterol levels in a single population of daily walkers over an extended period of time? The first approach is typical of a cross-sectional study. The second requires a longitudinal study. To make our choice, we need to know more about the benefits and purpose of each study type.
Cross-sectional study Both the cross-sectional and the longitudinal studies are observational studies. Cross sectional means that researchers record information about their subjects without manipulating the study environment.
In our study, we would simply measure the cholesterol levels of daily walkers and non-walkers along with any other characteristics that might be of interest to us. We would not influence non-walkers to take up that activity, or advise daily walkers to modify their behaviour. The defining feature of a cross-sectional study is that it can compare different population groups at a single point in time.
Think of it in terms of taking a snapshot.
Findings are drawn from whatever fits into the frame. To return to our example, we might choose to measure cholesterol levels in daily walkers across two age groups, over 40 and under 40, and compare these to cholesterol levels among non-walkers in the same age groups.
We might even create subgroups for gender. However, we would not consider past or future cholesterol levels, for these would fall outside the frame. We would look only at cholesterol levels at one point in time.
The benefit of a cross-sectional study design is that it allows researchers to compare many different variables at the same time.
We could, for example, look at age, gender, income and educational level in relation to walking and cholesterol levels, with little or no additional cost. However, cross-sectional studies may not provide definite information about cause-and-effect relationships.
This is because such studies offer a snapshot of a single moment in time; they do not consider what happens before or after the snapshot is taken. Longitudinal study A longitudinal study, like a cross-sectional one, is observational. So, once again, researchers do not interfere with their subjects.
However, in a longitudinal study, researchers conduct several observations of the same subjects over a period of time, sometimes lasting many years.
The benefit of a longitudinal study is that researchers are able to detect developments or changes in the characteristics of the target population at both the group and the individual level.a careful examination of a phenomenon; see also design.
cohort study prospective study. cross-sectional study one employing a single point of data collection for each participant or system being studied. It is used for examining phenomena expected to remain static through the period of interest. It. Sample size calculation in cross-sectional studies.
I often see people being a bit anxious when it comes to sample size calculations: I recently had a client having this problem when setting up a cross-sectional .
Featuring full color cross-sectional images from The Visible Human Project, this new atlas is co-authored by a radiologist and includes orientation drawings with corresponding MRIs and CTs.
The Planetary and Space Science Centre (PASSC) opened in April, and was the first facility of its kind in Canada. The burden of scabies is greater in tropical regions, especially in children, adolescents, and elderly people. As a worldwide epidemiological assessment, GBD provides broad and frequently updated measures of scabies burden in terms of skin effects.
These global data might help guide research protocols and prioritisation efforts and focus scabies treatment and control measures. Cross-sectional data, or a cross section of a study population, in statistics and econometrics is a type of data collected by observing many subjects (such as individuals, firms, countries, or regions) at the same point of time, or without regard to differences in time.
Analysis of cross-sectional data usually consists of comparing the differences among the subjects.