cross-sectional data


Also found in: Dictionary, Thesaurus, Medical, Wikipedia.
Related to cross-sectional data: Longitudinal data

cross-sectional data

information gathered for the same period of time that is split into certain groupings based upon characteristics such as age, income, etc.

Compare TIME SERIES DATA.

Mentioned in ?
References in periodicals archive ?
Stochastic Frontier Models with Cross-sectional Data
First, one group contains papers that have used single year, cross-sectional data from one or two countries.
The cross-sectional data in a population that was vulnerable (dancers) across all adolescent ages and grades provided a window into the age-related patterns that may not have been evident in a more general population.
Using a cross-sectional data from 74 countries we find a positive and significant relationship between economic performance and freedom and the number of courses within a country.
Researchers conducted analyses of cross-sectional data from the National Longitudinal Alcohol Epidemiologie Survey, administered 1991 and 1992, as well as the National Epidemiologic Survey on Alcohol and Related Conditions, administered between 2001 and 2002.
Imaging's ability to reflect changes related to Alzheimer's disease has advanced significantly, particularly with longitudinal and cross-sectional data from the Alzheimer's Disease Neuroimaging Initiative.
This study used cross-sectional data from a larger outcome-monitoring project to describe the training received by foster (including kinship) carers in Ontario, Canada, and explore the possible links between such training and selected foster child outcomes.
Cross-sectional data analysis revealed 20% of the variance in shuttle-run can be attributed to health attitudes.
The cross-sectional data for the first LP performed are shown in Table I.
Furthermore, the limitations and appropriate application of the NHANES and other cross-sectional data sets in the area of exposure-response evaluation must be clearly recognized:
They explain models for cross-sectional data (including parametric regression models and semiparameter models), univariate U-statistics (including associated models and inference for U-statistics), models for clustered data (including parametric models, distribution-free models and solutions for missing data), multivariate U-statistics (including cross-sectional study designs) and functional response models (including model estimation).
So a particular strength of this study was its prospective design, "which overcomes a variety of limitations common to cross-sectional data," Ms.