Multicultural and traditional research methodologies explore cross-cultural research through various variables to gain insight from different perspectives because groups are not culturally alike. In society today, there is a huge increase in diversity that has become progressively popular with the necessary need for research methodology in an ever so growing ethnic population because multicultural psychology is developing more every day. In this paper, multicultural and traditional research examines the differences and similarities of norm and sampling variables. Furthermore, to define norm and sampling variables and address any fundamental problems encountered by individual researchers during the implementation of these variables cross-culturally.
Differences of Research Methods
Sampling in research is a process that selects groups to study that is generalized to be representative of the population to be compared. In most studies inferential statistics are to analyze results to determine if there is a representative distribution of the group sampled (Segall, Dasen, Berry & Poortinga, 1999). Norming in research is a recognized standard that through observation and controls behaviors within those groups in the study (Segall, Dasen, Berry & Poortinga, 1999). Cross-cultural research is specific in discovering universal outlines of behavior and responsibilities each culture represents. Researchers have many issues to take into consideration such as race, ethnicity, and the concepts of culture evaluate influences but also to ensure those conducting the research to keep his or her values and opinions separate otherwise giving discriminating results (Hall, 2010).
Multicultural research in a majority of cases have many studies that involve sampling data from at least two or more cultural groups, so comparisons can be made from a significant aspect and determine if norming is valid, otherwise they are not interpretable. Using a variable like sampling it should be used in high regard to minimize error, bias, and be conclusive to all populations. Some examples of sampling would be randomized to limit biases and probability in taking a random sample but gives all individuals in the studies the opportunity to be selected equally (Nokes, Nwakeze, 2006). This approach for cross-cultural research evaluates values and views of individuals by utilizing specific elements and assumptions toward a more diverse sampling population. Norming is also important in multicultural research because it uses the variable to explore under the confinements of the ethical rules and behavior of the groups under study. Norms recognize a reflection of cultural beliefs, values, and principles of the participants instead of a traditional standard of research. However, Traditional research in most of the readings generates from a Western standard as the normal measurement for all cross-cultural studies and sample size is relatively smaller. Cross-cultural research in the form of traditional standpoints demonstrates incompatibility with the groups and the researchers in which the outcome of the study without the control of variables could be an invalid and unreliable evaluation of the analysis. The representation of race, ethnicities, and diverse cultures have enormous differences culturally, morally, and societal forms, therefore, recognizing behavioral norms should be equally diverse and should vary in traditional research but unfortunately allows universal assumptions on all cultures on the premise of one culture. Therefore, multicultural research emphasizes and comprehends that not all cultures are similar, yet still applies the