Sampling can be defined as “a process used in statistical analysis in which a predetermined number of observations are taken from a larger population. The methodology used to sample from a larger population depends on the type of analysis performed but may include simple random sampling or systematic sampling." In order for the sample to be free from errors in the results, 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 Shouldn't Be Banned"? Get an original essay The importance of using this sampling can be identified by Thisted (2006), who stated that the cross-sectional design offers good control over the measurement process in this research you try once the variables of interest in a sample of subjects 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 conducting research, the research can examine a wide range of social contexts, race, and age. After this has been conducted based on the statistics, the researcher can now further investigate the range with the highest significant number of women found to be affected by this disease. The results will be compared with Dutch reference values. Physical activity, health-related quality of life and fatigue will be assessed using the accelerometer and age-specific questionnaires. This article corresponds to the cross-sectional design for quantitative research as all of the following are qualities of the cross-sectional design. Quantitative research designs are usually measured once, or an experimental topic is measured before and after a treatment. It tests different groups of people of different ages and social backgrounds to get more accurate results. Boyd and Bee (2012) identify this research design as a consideration when studying, for example, age-related or behavioral changes. This study is an observational research method that uses the same data collected repeatedly over time. Farrington (1991) highlighted the identity-shaping importance of the longitudinal design as it allows us to distinguish between changes over time in group data and changes within individuals, or changes in an at-risk population. Crichton (2016) studied whether or not soft drinks are associated with cognitive function to account for cardiovascular, lifestyle, dietary factors, and whether or not the person had type 2 diabetes. This study was conducted by 803 participants living in the community aged between 23 and 98 years. While research findings showed that people who had type 2 diabetes had a higher intake and was associated with poorer performance in working memory and executive functions. This item corresponds to the search method because it is a long-term requirement that provides a result. For example, research was conducted to see if soft drinks cause cognitive function. This is based on an observational study that collects information over a period of time. The purpose of conducting a longitudinal study is to find the cause of a problem by researching samples studied over years. The importance of using this method is to gather in-depth information that helps the researcher gain a broader understanding of the topic. This method is used to search for and gather information about the background or context of a phenomenon. In the method.