Compare multiple cross sections over time hypack

On the other hand, longitudinal design is practical to a small study as it uses a small sample size and is geographically bound. Longitudinal study design is geographically bound unlike cross sectional study which is not.Д¬ross-sectional study would be practical for a large study as it presents the whole population. This fact is an added advantage to the cross-sectional design as it is capable of using data from different subjects. Unlike longitudinal design which takes a sample from small group, cross-sectional studies estimates the prevalence of interest outcome due to the fact that the sample is taken from the whole population. In contrast to longitudinal studies, cross-sectional design according to Afidep (2016) focuses on drawing and studying inferences from existing differences between phenomena, subjects and people during an active intervention by researchers to measure and produce change. In contrast to cross-sectional design, longitudinal studies permit the measurements of changes or differences of a variable from one period to another. Cross-sectional design collects data from a whole population and it is thus applicable while conducting a research in a large population. Finally, when using this design, it is difficult to compare one group with another because distinct to longitudinal design, participants do not act like their own control. However, this design does not provide a very rich picture of development, as it only examines one small group of people at a given time. It is also the best method of studying age differences, and not the changes of age. Both study designs requires accurate sampling and a large sample size to reach representativeness.ДЄs Afidep (2016) explains, cross-sectional studies are quick and inexpensive to conduct as researchers can test many people with different ages at a given time. These results to a problem of lack of identification of whether the results obtained are due to age or other variables. Similar with cross-sectional design, longitudinal design results in the problem: confusing age with another cohort. The two can be used in a study of age related changes. Through this, a researcher can be able to measure variable change over time.Д«oth cross-sectional and longitudinal research designs use observational study. The researchers take measurement on every variable over two or more divergent time periods. This study plots trajectories of change over time in behavior, social environment and personality. For example, in the article by Jessor R and Jessor Sl (1977), the problem behavior and psychosocial development of the youth was conducted in phases.

According to Afidep (2016), this design describes change patterns and establishes the magnitude and the direction of causal relationships. This type of design follows a similar sample over time by making repeated observations. Article Reviews Practices Every Student Should Know.

Compare multiple cross sections over time hypack