The regression will take the weight into account while calculating the regression coefficients. To this end, we need to calculate a survey weight for each respondent in terms of one or multiple demographic variables and then include this new weight variable into the regression analysis. It is also known as sample balancing or raking the data. Survey weighting aims at re-balancing the data to reflect the population more accurately and compensating the differences between the sample and target population. Most surveys are likely to have the problem of under/over representation with certain characteristics. The social consequences of such a large number of refugees are worth studying in many aspects. Turkey is one of them and currently hosting the largest number of (Syrian) refugees. Since the beginning of the Syrian crisis, millions of refugees fled the country and they took refuge in other countries, especially the proximate ones. The current use case involves the survey data administered by the authors as a part of scientific research to evaluate the impact of Syrian refugees on fear of crime in Turkey. According to the United Nations, the world is witnessing the highest levels of displacement on record making the refugee problem a global one.
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