
AbstractThe Policy Research Model that uses the quantitative approach is more complicated and commonly used by a quantitative paradigm. Therefore, there must be the other alternative methods that simpler, more pragmatic, and effective methods but without decreasing the scientific values. In this paper, The researcher suggest that a qualitative research model called the Tohardis qualitative research model abbreviated as MPKKT. MPPKKT is designed by the conventional or classic model. They are 1. Pre survey using the naturalistic model in exploring the various problems., 2. Focus Group Discussion (FDG-1) is as a research formulating, 3. Focus Group Discussion (FGD-2) is as a policy formulation, 4. Expert Judgment is as an evaluation of an eligibility policy, 5. Discussion with the stakeholders in considering the policy output to implement it. MPKKT has been applied on the thesis research by the postgraduate students in Magister Program of Social Sciences in Fisip Untan. Based on the above application, here can be inferred that simple and more practical in implementing it. Besides, because it is used the social policy paradigm, it has a highly probability in implementing it by the users. Key words: Policy Research, The Tohardis Qualitative Policy Research Model (MPKK).
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
