The factorial survey research design to study justice perceptions of state support allocation among socially excluded groups: results of the pilot study


The article presents findings of the pilot study,dedicated to the development and testing of instrumentsfor measuring in the mass survey the perception of justice criteria for allocation of the state support among sociallyexcluded groups. Tool focuses on a specific survey method, based on specific approaches to plan. This experiment iscalled factorial design. Respondents were offered descriptions of hypothetical situations, which could potentiallyhappen in real life. These descriptions are called vignettes.

The respondents needed to evaluate the possibility oreven necessity of support provided from the state to the person that is trapped in the described life circumstances.The purpose of the judgment analysis about various life circumstances from different respondents is to identify theimpact of separate factors on the perception of certain groups of people (those who are in difficult lifecircumstances) as those who need help, and, therefore, are socially excluded. The dimensions aiming at formation ofpossible hypothetical situations were chosen based on the social justice theory as well as the criteria of needs,control and identity. During the pilot study, 65 respondents assessed 120 vignettes. The analysis of the collecteddata, in particular, applying the model of the regression equation, is thebasis for the conclusion about possibility ofproposed tool application in mass surveys and the compliance of the obtained measurement results of the previouslymade hypotheses in the vignettes space design.

The findings of pilot study data indicates thatsuch factors as theposition in the labor market, presence of children, the status of internally displaced persons and the level of incomeare statistically significant factors in the decision making process for providing state financial support. The genderand marital status of potential recipients are not statistically significant factors in the decision making process forproviding state support. The data is considered for clarifying certain previous hypotheses and needs validationwithin the mass representative survey.

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