Sampling can be defined as “a process used in statistical analysis in which a predetermined number of observations is taken from a larger population. The methodology used to sample a larger population depends on the type of analysis performed, but may include simple random sampling or systematic sampling. For the sample results to be error-free, the researcher must first find the appropriate people to collect the required sampling data for the intended sample. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get an original essayThe importance of using this sampling can be identified by Thisted (2006), who stated that the cross-sectional design allows good control of the measurement process in this research, the variables of interest in a sample of subjects are attempted once and the relationships between them are determined. An example of a cross-sectional design is a medical study of the pervasiveness of breast cancer in a population. When carrying out the research, it may examine a range of social backgrounds, races and ages. Once this has been done according to the statistics, the researcher can now further investigate the beach with the highest number of women with this condition. The results will be compared to Dutch reference values. Physical activity, health-related quality of life and fatigue will be assessed using an accelerometer and age-specific questionnaires. This article fits the cross-sectional design for quantitative research because all of the following are qualities of the cross-sectional design. Quantitative research designs are typically measured once or an experimental subject is measured before and after a treatment. It looks at different groups of people of different ages and social backgrounds to get more accurate results. Boyd and Bee (2012) consider this research design as something to consider when studying, for example, age-related changes in behavior. This study is an observational research method that uses the same data collected repeatedly over time. Farrington (1991) highlights the identity importance of the longitudinal design as it allows us to differentiate between changes over time in group data and changes within individuals, or changes in a population at a time. risk. Crichton (2016) studied whether or not soft drinks were associated with cognitive function to account for cardiovascular factors, lifestyle and diet, and whether or not the person had type 2 diabetes. This study was conducted with 803 community-dwelling participants aged 23 to 98 years. Research findings showed that people with type 2 diabetes consumed more of it and was associated with poorer performance in working memory and executive functions. This article corresponds to the research method because it is a long-term requirement which gives a result. For example, the research conducted aimed to determine whether soft drinks caused cognitive functions. This is based on an observational study that collects information over a period of time. The goal of conducting a longitudinal study is to find the cause of a problem by looking for samples that have been studied over the years. The importance of using this method is to gather in-depth information that helps the researcher better understand the..