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  2. Cross-sectional study - Wikipedia

    en.wikipedia.org/wiki/Cross-sectional_study

    In medical research, epidemiology, 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. [definition needed ...

  3. Cross-sectional data - Wikipedia

    en.wikipedia.org/wiki/Cross-sectional_data

    In statistics and econometrics, cross-sectional data is a type of data collected by observing many subjects (such as individuals, firms, countries, or regions) at a single point or period of time. Analysis of cross-sectional data usually consists of comparing the differences among selected subjects, typically with no regard to differences in time.

  4. Cross-sectional regression - Wikipedia

    en.wikipedia.org/wiki/Cross-sectional_regression

    In statistics and econometrics, a cross-sectional regression is a type of regression in which the explained and explanatory variables are all associated with the same single period or point in time. This type of cross-sectional analysis is in contrast to a time-series regression or longitudinal regression in which the variables are considered ...

  5. Observational study - Wikipedia

    en.wikipedia.org/wiki/Observational_study

    Cross-sectional study: involves data collection from a population, or a representative subset, at one specific point in time. Longitudinal study: correlational research study that involves repeated observations of the same variables over long periods of time. Cohort study and Panel study are particular forms of longitudinal study.

  6. Cross-sequential study - Wikipedia

    en.wikipedia.org/wiki/Cross-sequential_study

    A cross-sequential design is a research method that combines both a longitudinal design and a cross-sectional design. It aims to correct for some of the problems inherent in the cross-sectional and longitudinal designs. [1]

  7. Survey methodology - Wikipedia

    en.wikipedia.org/wiki/Survey_methodology

    In cross-sectional studies, a sample (or samples) is drawn from the relevant population and studied once. [3] A cross-sectional study describes characteristics of that population at one time, but cannot give any insight as to the causes of population characteristics because it is a predictive, correlational design.

  8. Here’s Exactly How Much Protein You Need To Build 1 ... - AOL

    www.aol.com/exactly-much-protein-build-1...

    Most people need a small caloric surplus—about 350 to 500 extra calories per day—to support muscle growth while minimizing fat gain, according to a 2019 study published in Sport and Exercise ...

  9. Research design - Wikipedia

    en.wikipedia.org/wiki/Research_design

    In a typical experimental study, there will be at least one "experimental" condition (e.g., "treatment") and one "control" condition ("no treatment"), but the appropriate method of grouping may depend on factors such as the duration of measurement phase and participant characteristics: Cohort study; Cross-sectional study; Cross-sequential study