Question: What Is An Example Of Cross Sectional Study?

Is cross sectional study qualitative?

Cross-sectional designs often collect data using survey questionnaires or structured interviews involving human respondents as the primary units of analysis.

Although the majority of cross-sectional studies is quantitative, cross-sectional designs can be also be qualitative or mixed-method in their design..

What are the strengths and weaknesses of cross sectional study?

4. Strengths and weaknesses of cross-sectional studiesRelatively quick and easy to conduct (no long periods of follow-up).Data on all variables is only collected once.Able to measure prevalence for all factors under investigation.Multiple outcomes and exposures can be studied.More items…

What are the advantages of a cross sectional study?

The advantages of cross-sectional study include:Used to prove and/or disprove assumptions.Not costly to perform and does not require a lot of time.Captures a specific point in time.Contains multiple variables at the time of the data snapshot.The data can be used for various types of research.More items…

What type of study is a survey?

Often the terms “survey” and “questionnaire” are used interchangeably as if they are the same. But strictly speaking, the survey is a research approach where subjective opinions are collected from a sample of subjects and analyzed for some aspects of the study population that they represent.

What is a major disadvantage of cross sectional research?

A disadvantage of cross-sectional research is that it just tells researchers about differences, not true changes. Also, researchers have to worry about whether change is due to age/development or generational/cohort effect. … Those are called cohort effects and they could affect our measurements.

What is an example of cross sectional data?

For example, if we want to measure current obesity levels in a population, we could draw a sample of 1,000 people randomly from that population (also known as a cross section of that population), measure their weight and height, and calculate what percentage of that sample is categorized as obese. …

When would you use a cross sectional study?

Cross-sectional designs are used for population-based surveys and to assess the prevalence of diseases in clinic-based samples. These studies can usually be conducted relatively faster and are inexpensive. They may be conducted either before planning a cohort study or a baseline in a cohort study.

What is the meaning of cross sectional data?

Cross-sectional data are the result of a data collection, carried out at a single point in time on a statistical unit. With cross-sectional data, we are not interested in the change of data over time, but in the current, valid opinion of the respondents about a question in a survey.

Why is a cross sectional study a limitation?

However, it is important to be aware of the predictive limitations of cross-sectional studies: “the primary limitation of the cross-sectional study design is that because the exposure and outcome are simultaneously assessed, there is generally no evidence of a temporal relationship between exposure and outcome.”

What is cross sectional area?

The cross-sectional area is the area of a two-dimensional shape that is obtained when a three-dimensional object – such as a cylinder – is sliced perpendicular to some specified axis at a point. … For example, the cross-section of a cylinder – when sliced parallel to its base – is a circle.

What is meant by cross sectional 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. In cross-sectional research, you observe variables without influencing them.

What type of study is a cross sectional study?

In medical research, social science, and biology, a cross-sectional study (also known as a cross-sectional analysis, transverse study, prevalence study) is a type of observational study that analyzes data from a population, or a representative subset, at a specific point in time—that is, cross-sectional data.

What is cross sectional data and time series data?

Time-series data is a set of observations collected at usually discrete and equally spaced time intervals. … Cross-sectional data are observations that come from different individuals or groups at a single point in time.

What level is a cross sectional study?

Cross sectional study designs and case series form the lowest level of the aetiology hierarchy. In the cross sectional design, data concerning each subject is often recorded at one point in time.

What’s cross section?

In geometry and science, a cross section is the non-empty intersection of a solid body in three-dimensional space with a plane, or the analog in higher-dimensional spaces. Cutting an object into slices creates many parallel cross-sections.

How do you identify a cross sectional study?

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.

Do cross sectional studies have a control group?

Norain, in cross-sectional design, the study population is not selected based on exposure or outcome. Therefore, the answer to your question, no, you don’t have to have a control group. … Most of the time, though, you can define a control group after you select your study population in a cross sectional study.

What is the difference between a case control study and a cross sectional study?

Cross sectional studies are used to determine prevalence. They are relatively quick and easy but do not permit distinction between cause and effect. Case controlled studies compare groups retrospectively. They seek to identify possible predictors of outcome and are useful for studying rare diseases or outcomes.