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Kilimeri Census Division, Vanimo District, Sandaun Province, Papua New Guinea

by Oliver Kortendick and Christin Kocher Schmid


Aims and Relevance

The research aims at tracing the links of individuals and rural communities to each other as well as to the urban elites.

This systematic research will form the core of comparable data produced by the APFT project. Its results will be illustrated and explained in depth by the long-term research conducted by the associated anthropologists. By combining both quantitative and qualitative data, micro- and macro level of research the findings will have both analytical depth (validity) and high reliability. It will form the basis for APFT activities and will fulfil the project's main purpose: to provide a picture of the contemporary situation of the people of the rain forest. It will also provide knowledge transfer to the University of Papua New Guinea.

Research topics:

 

Research methods and problems, relevance

Four different levels of investigation are included in the research

Problems

The characteristics of the research area are:

  1. It covers a large area
  2. It is sparsely settled
  3. Insufficent infrastructure
  4. Its population shows a great cultural heterogeneity

As a consequence unusual logistic and methodistic problems have to be dealt with. On the one hand data collecting problems arise, on the other hand, it will be necessary to compare the collected data in the analysis with data derived from different cultural contexts. Furthermore, the future planning of the APFT project includes the collection of similar and therefore comparable data from the other project areas as well, as Africa or South America.

However, this situation offers a unique opportunity: anthropologists have rarely had the opportunity to collect large sets of data, because most of their fieldwork is carried out single mostly. Moreover, most of the existing large data sets were collected in modern contexts, and not in premodern ones. It is therefore especially interesting to compare the situation within the research areas with comparable data from industrial countries.

To be able to compare the data to be collected with other research and to put it into a research tradition, some basic problems have to be solved:

  1. The sampling problem
  2. The collecting problem
  3. The problem of operationalization
  4. The problem of analysis

1.: Systematic sampling requires some basic knowledge about the sampling unit as a whole, i.e.requires elaborated statistics about Papua New Guinea and its rain forest population. Furthermore it is important to be able to send interviewers to any place required. As both conditions are not fulfilled. a distinct sampling procedure has to be developed, which is especially adopted to the local conditions. The University of Papua New Guinea will play a crucial role in this stage of the project. Students from this institution will be trained as interviewers and send to the designated research area to conduct the interviews.

2.: Only well trained interviewers provide high quality data. They need to understand what the study is about. how to conduct the interviews, what happens with the data, and how to behave in the field if confronted with problems. In addition the interviews have to be controlled. Controlling lO% of the interviewers normally delivers a good basis for the evaluation of the data.

3.: Although there is a good choice of developed and tested questionnaires, scales and tests in empirical social research available, their application is hardly tested in non western societies. Especially if interviewees are illiterate, the research instruments have to be adopted to local conditions.

4.: Collecting large amounts of data requires special knowledge and equipment not only for operationalization but also for analysis. A separate list of required hardware and special purpose software will be prepared.

Social Network Analysis

The analysis of social networks (NA) is the ideal technique to solve successfully the above mentioned research questions:

 

Research schedule

Send comments to Oliver Kortendick

Oliver Kortendick

Christin Kocher Schmid


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