In the previous chapter, I explained about the lack of a healthy diet promotion program at school. As a result, parents and students did not receive education on how to purchase healthy foods that cause childhood obesity. I also explained how to solve problems and the theory of social constructivism. In this chapter, I will explain the concrete method that I am planning and the three kinds of data collection planned for research. This study uses qualitative methods to study and address the lack of healthy dietary promotion at school.
The research method used is a combination of quantitative and qualitative methods. The "Methodology" chapter explains the reason for this choice. The collected data was raw data mainly from the questionnaire and the focus group interview. The results were correctly analyzed. Finally, I will present the proposal and conclusion. The paper is divided into six parts. The first part is an introduction. We will briefly explain the purpose and purpose of the research, and the research method. In the second part we will cover all the literature on this topic. In the first part of this article I will detail the attitude theory, in particular the Fishbein multiattribute model, which is the basis of this research questionnaire. We also looked at consumer attitudes towards ethnocentrism among retailers, foreign retailers, and consumers.
The qualitative approach is part of the five analytical perspectives that come from the data penetration approach. These methods can be used in combination with quantitative methods, academic or literature reviews, expert interviews, and computer simulations as part of a multi-method approach to data collection and analysis (called triangulation) I will. In order to help navigate the heterogeneous environment of qualitative research, we can further examine qualitative exploration of "means" and "direction". In particular, qualitative researchers often reject truths of natural science models, assuming that the resulting research processes and procedures are likely to examine the meaning rather than behavior (beyond the hypothesis test model) You may argue that you prefer to generalize. I ideally like data in the form of naturally derived words and images (eg detailed observations rather than experiments)