what is the major difference between a longitudinal study and a cross-sectional study answers.com?
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Longitudinal studies differ from one-off, or cross-sectional, studies. The main difference is that cross-sectional studies interview a fresh sample of people each time they are carried out, whereas longitudinal studies follow the same sample of people over time.
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Area is somewhat that is occupied by an object when it is resting on a surface i.e area is the space which is used by the object. Whereas cross-sectional area is an area which we obtain when the same object is cut into two pieces.
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Like time series data, panel data contains observations collected at a regular frequency, chronologically. Like cross-sectional data, panel data contains observations across a collection of individuals. ... Panel data can detect and measure statistical effects that pure time series or cross-sectional data can't.
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Cross‐sectional studies may be either descriptive or analytical. Descriptive studies mostly aim to provide estimates of prevalence of disease, traits such as smoking behavior, people′s attitudes, knowledge or health behavior, whereas analytical studies aim to assess associations between different parameters.
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As adjectives the difference between parallel and longitudinal. is that parallel is equally distant from one another at all points while longitudinal is relating to length, or to longitude.
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A longitudinal section would be along the length while a transverse section is across the length… also called a cross section. ... Transverse is any direction perpendicular to this and longitudinal is the direction parallel to it.
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Both are data reduction techniques—they allow you to capture the variance in variables in a smaller set. ... Despite all these similarities, there is a fundamental difference between them: PCA is a linear combination of variables; Factor Analysis is a measurement model of a latent variable.
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A repeated measures ANOVA is almost the same as one-way ANOVA, with one main difference: you test related groups, not independent ones. It's called Repeated Measures because the same group of participants is being measured over and over again. ... In both tests, the same participants are measured over and over.
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Path analysis contains only observed variables, and has a more restrictive set of assumptions than SEM. ... The main difference between the two types of models is that path analysis assumes that all variables are measured without error. SEM uses latent variables to account for measurement error.
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What is the different between longitudinal section and a cross section of an object? A longitudinal section is designed to study the entire object in three dimensions at magnification. A cross-section of an object only shows the interior where the cut is made. You just studied 30 terms!
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A cohort study is similar in concept to the experimental study. In a cohort study the epidemiologist records whether each study participant is exposed or not, and then tracks the participants to see if they develop the disease of interest.
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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.
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The major difference is that the subgroup standard deviation is plotted when using the X-s chart, while the subgroup range is plotted when using the X-R chart. ... As for the X-R chart, frequent data and a method of rationally subgrouping the data are required to use the Xbar-s chart.
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In prospective studies, individuals are followed over time and data about them is collected as their characteristics or circumstances change. Birth cohort studies are a good example of prospective studies. In retrospective studies, individuals are sampled and information is collected about their past.
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Observational studies and experiments. ... In an observational study, we measure or survey members of a sample without trying to affect them. In a controlled experiment, we assign people or things to groups and apply some treatment to one of the groups, while the other group does not receive the treatment.
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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.
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Observational study and experiments are the two major types of study involved in research. The main difference between these two types of study is in the way the observation is done. ... In an experiment, the researcher manipulates every aspect for deriving a conclusion. In observational study, no experiment is conducted.