Significance of Cross-sectional analysis
Cross-sectional analysis is a research method that evaluates data collected at a single point in time from different sources. It is commonly used in various fields, including health studies and safety assessments, to examine the relationships between variables, such as attitudes among dental students, the incidence of diseases, and substance use behaviors. This study design allows researchers to gather insights from populations effectively by providing a snapshot view of specific factors and their associations.
Synonyms: Comparative study, Simultaneous analysis, Cross-sectional study, Observational analysis, Temporal analysis
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Cross-sectional analysis in scientific sources
Cross-sectional analysis involves examining various Ayurveda texts and research articles to explore the connection between Agni and Vamana karma, providing insights into their relationships within the field of Ayurvedic studies.
From: The Malaysian Journal of Medical Sciences
(1) This is a type of study design used to compare various diabetes risk assessment tools in a hospital setting.[1] (2) This is a type of study design used to examine data collected at a single point in time to identify associations between variables, such as the incidence of measles and related factors.[2] (3) Cross-sectional analysis refers to a type of study that examines data from a population at a single point in time, and the study was approved for a cross-sectional analysis of the HPE of the appendix and medical information.[3] (4) A research method employed in the study to survey clients at the methadone clinic to gather data on their profiles and behaviors regarding substance use.[4] (5) The research design implemented in the study which examined children aged 2 to 16 years with severe TBI during a specific study period.[5]