“Data do not speak for themselves” – Analyzing social science data in Micronesia

by Supin Wongbusarakum
Coral reef along the coastline of the Rock Islands, Palau.

Coral reef along the coastline of the Rock Islands, Palau.

Data do not speak for themselves; there is always an interpreter, or a translator (Ratcliffe 1983[1]).

While nature conservation and natural resource management efforts are increasing throughout the Pacific Islands, the importance of balancing ecological health with human well-being is also increasingly recognized. In Micronesia, the ocean spans nearly three million square miles and is home to approximately 500 species of corals and 1,300 species of fish. But it is also home to more than half a million people living in communities with a close relationship with both land and sea.

These relationships are now being profoundly challenged by external factors such as the global economy and the impacts of a changing climate. In the vast region of Micronesia, effective conservation means ensuring sustainable livelihoods through subsistence and earned income, maintaining cultural integrity, engaging in good natural resource governance, and promoting environmental education[2]. We know these different aspects of conservation are all important, but how do we know if they are actually being carried out consistently and sustainably in the region? How do we know if conservation and natural resource management have contributed to positive changes in the region without adverse human impacts?


Woodcarving detail that depicts a famous story of a magical breadfruit tree (from the Etpison Museum, Palau).

In 2010, we launched socioeconomic monitoring in Micronesia based on SEM-Pasifika (Socioeconomic Monitoring Guidelines for Coastal Managers in Pacific Island Countries). This community-based monitoring effort aims to better understand the conditions of communities in areas with active resource management. In the past few years, we offered several socioeconomic assessment training sessions based on SEM-Pasifika in Micronesia and also provided technical assistance to local teams who collect qualitative and quantitative data in the field. Last year, I conducted a capacity needs assessment to identify further gaps in knowledge and information. The results showed an immediate need for analysis of social science data.

To address this issue, I worked with a network of partner organizations to hold a socioeconomic data analysis workshop in Koror, Palau from September 12-17, 2016. The workshop was funded by NOAA’s Coral Reef Conservation Program, with support from many partners—including the Micronesia Islands Nature Alliance, NOAA’s Pacific Islands Regional Office, Pacific Islands Managed and Protected Areas Community, Micronesia Conservation Trust, Palau International Coral Reef Center, and several other organizations and agencies involved in marine conservation and resource management in Micronesia. Participants attended from Guam, Commonwealth of the Northern Mariana Islands, Federated States of Micronesia (Kosrae, Pohnpei, and Yap), Palau, Republic of the Marshall Islands, and Hawai‘i.

Matt Gorstein, Social Scientist and Natural Resource Economist from NOAA’s Hollings Marine Laboratory, joined me as a co-trainer. Combining his experience and expertise in analyzing socioeconomic data from the National Coral Reef Monitoring Program—and using preliminary data collected from the NOAA Habitat Blueprint site in Manell-Geus, Guam as well as other sites in Micronesia and Hawai‘i—we had a fully packed and productive training covering a wide range of topics. We started with data entry, created a code-book, and documented work-flow, while also addressing differences among qualitative (e.g. from interviews) and quantitative data (from surveys). We discussed the use of best practices in data entry, management, and analysis. Matt and I provided a comprehensive overview of how to use IBM’s Statistical Package for Social Science (SPSS) to run descriptive and inferential statistics. The training was regularly reinforced by hands-on exercises and summarized with quizzes.

In the course evaluation, the majority of participants rated the overall training as being extremely useful. One of the participants said, I feel much more confident in examining social survey data more critically. I have stronger ability in designing future assessment with stronger understanding in how data is analyzed.” Another participant stated, “I actually learned more in this workshop than the stats class. Also SPSS is such a useful tool and I am glad I know how to use it now.” With the skills and knowledge gained in this workshop, we hope that the participants will be able to analyze and interpret socioeconomic data more effectively. Their new skills will support efforts to improve coastal and marine resource management and conservation—while balancing ecological health with social well-being.


Trainers and participants of Socioeconomic Data Analysis Training Workshop. Back row, left to right: Angel Jonathan (Conservation Society of Pohnpei), Kailikea Shayler (Hawai‘i Department of Land and Natural Resources, Department of Aquatic Resources), Matt Gorstein (NOAA Hollings Marine Laboratory), Bond Segal (Kosrae Conservation and Safety Organization), Jane Dia (Guam Department of Agriculture, Division of Aquatic and Wildlife Resources), Mochieg Reyuw (Yap Community Action Program), Kodep Ogumoro-Uludong (Micronesia Islands Nature Alliance), Rachael Nash (Micronesia Challenge Regional Office) Front row, left to right: Noelle Oldiais (independent researcher, formerly Palau International Coral Reef Center), Erin Zanre (Hawai‘i Department of Land and Natural Resources, Department of Aquatic Resources), Supin Wongbusarakum (PIFSC Coral Reef Ecosystem Program), Marybelle Quinata (NOAA Guam Field Office), Lincy Marino (Palau International Coral Reef Center), Alicia Edwards (Marshall Islands Marine Resources Authority)

[1] Ratcliffe, J. W. 1983. Notions of validity in qualitative research methodology. Knowledge: Creation, Diffusion, Utilization 5(2), 147-167.
[2] Based on results of Micronesia Challenge 1st (2012) and 2nd (2015) Socioeconomic Measures Workshops and Micronesia Challenge Measures Working Group Scorecards Workshop (2016).
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