The Research Methods in Anthropology courses are taught by top instructors in the field of anthropology. They are designed for current anthropologists and those seeking to become anthropologists, who are looking to strengthen their skills in research methods. The emphasis in each course is on skills for collecting and analyzing the many kinds of data that anthropologists work with. For more information, including how to apply and registration dates, click the tabs below.
The University of Florida College of Liberal Arts and Sciences, Anthropology Department believes that social researchers should be fluent in the full range of methods for collecting and analyzing data. This online graduate certificate program aims to help researchers choose the right tools, emphasizing the integration and complementary applications of qualitative and quantitative data and analysis. Courses in this online program were developed with support from the National Science Foundation's Program in Cultural Anthropology.
Classes Start: May 8
Fee Payment Deadline: May 19
Withdrawal Deadline non fee liable: May 9
Withdrawal Deadline: June 9
Classes End: June 16
Classes Start: June 26
Fee Payment Deadline: July 7
Withdrawal Deadline non fee liable: June 27
Withdrawal Deadline: July 28
Classes End: August 4
During the Summer semester the University of Florida offers a series of online courses on research methods in cultural anthropology. The courses carry graduate credit and are open to upper division undergraduates, graduate students, and professionals. The emphasis in each course is on skills for collecting and analyzing the many kinds of data that anthropologists work with.
Each course has 12-15 hours of lecture and 30-33 hours of online, interactive instruction. Courses are limited to 20 participants.
This intensive course introduces different components of geospatial analysis and their applications in Anthropology: Geographic Information Systems (GIS), Remote Sensing (RS), Global Positioning System (GPS), and their integration. The course covers basic concepts necessary to work with geospatial data. We pay particular attention to research set-up and design, and the use of specialized software such as ArcGIS via hands-on activities. Optional modules on remote sensing (data search, georeferencing, thematic classification, and change detection) are available for students interested on incorporating these tools to their training and research projects.
By the end of the course, participants should understand how to:
This graduate seminar surveys methods of text analysis. The focus of the course is on developing skills that students can use to do systematic analysis of textual data, including written texts, photos, and audio or video data. The course will explore a range of inductive and deductive approaches and will cover analytic skills that cut across traditions, including theme identification, code definition, and construction of codebooks, and teamwork in text analysis. Advanced topics covered will include schema analysis, grounded theory, classical content analysis, content dictionaries, word-based analysis, and semantic network analysis.
Students taking this course will:
Social network analysis (SNA) is the study of the patterns of relations between actors (usually people). SNA is a way to operationalize social context in detail. In addition to providing data to test models that use social network measures to predict outcomes, network visualization provides a unique way to interact with respondents about that social context. Participants will learn about whole network analysis (relations within groups) and personal network analysis (relations surrounding individuals). This is a basic introductory hands-on course, employing examples germane to anthropological research. Whole networks will be analyzed using UCINET, NetDraw and ORA while personal networks will be collected and analyzed using EgoNet, Vennmaker and E-net.
Students taking this course will learn how to:
This course introduces the use of well-established behavior observation methods to answer questions of anthropological interest. The methods include direct observations, time diary techniques, and newer techniques that rely on modern telecommunications or on an Internet-based interface. The methods have applications across the social and biological sciences. The focus is on the practical implementation of appropriate methods for specific research questions.
Students taking this course will:
This online course presents basic techniques for systematically gathering and analyzing video data for use in anthropological enquiry. This is an interactive, practice-based class that covers the basics of gathering and analyzing video data. By the end of the course, participants should understand where visual data fit into the anthropological research process, including issues surrounding the ethics of collecting visual data.
This course covers the major methods for collecting and analyzing data about how people in a cultural group think about lists of things that somehow go together. These can be physical, observable things—kinds of wine, kinds of music, rock singers, foods that are appropriate for dessert, medicinal plants, ice cream flavors, animals you can keep at home, horror movies, symptoms of illness—or conceptual things like occupations, roles, emotions, things to do on vacation, things you can do to help the environment, and so on. While the method comes was developed in cognitive anthropology, it now used in fields such as marketing, product development, and public health.
The data collection methods include: free lists, pile sorts, triad tests, paired comparisons and ratings. The data analysis methods include: multidimensional scaling, hierarchical clustering, property fitting (PROFIT), quadratic assignment procedure (QAP), and consensus analysis. Participants get hands-on practice with the data collection and data analysis techniques using software and learn how the methods can be used in many different areas of research, including the analysis of qualitative data (like text and images) and in social network analysis.
These courses are open to graduate students and upper-division undergraduate students, to professors and to practicing anthropologists and other social scientists. The courses each carry three graduate credits at the University of Florida, but may be taken without credit (see below, on the continuing education option). The cost of each course is the same to all participants.
To register for any of these courses, click here and then click "click to begin" on the bottom left of the opening screen. Next, choose "THE COLLEGE OF LIBERAL ARTS AND SCIENCES - CLAS - RESEARCH METHODS IN CULTURAL ANTHROPOLOGY" from the "College" drop-down box. Be sure to enter the course information for the course(s) that you are requesting registration for. To register for the courses as a Non-Credit student, click here.
ANG5488 Geospatial Analysis in Cultural Anthropology
ANG5494 Text Analysis in Cultural Anthropology
ANG5420 Network Analysis in Cultural Anthropology
ANG5085 Video Data Analysis in Cultural Anthropology
ANG5802 Behavior Observation in Cultural Anthropology
ANG6481 Research Methods in Cognitive Anthropology -- Cultural Domain Analysis
To register for the courses as a Non-Credit student, click here.
The cost for each course is $1,200.00, plus a $39.96 fee per course. Enrollment in these courses is limited to 20 participants.
If you would like to receive a reminder to register for these courses, please email your contact information to Dr. H Russell Bernard.
Am I required to have any special computer skills for these online courses?
You must have regular access to a computer and be familiar with routine computer skills, such as Windows, email, basic typing, and internet browsing. The use of specialized software for data collection and data analysis is part of what you will learn in these courses.
What computer programs and equipment do I need?
A microphone is required (preferably a headset). A webcam is strongly suggested.
Consult the official University of Florida computer and software requirements for general recommendation and a sample computer configuration.
Where can I go for computer support?
Online help for Canvas (the computer application used to run the online courses) is available at the UF E-Learning Help page.
For more computer trouble shooting tips and login advice, please email the UF Help Desk or call (352) 392-HELP.
Will a slow typist get behind in class?
The only time a slow typist may have a little trouble is in a chat session, but even this disadvantage is not a big deal. Otherwise, slow typists should do fine, even though they may of course require a little more time to finish some assignments and/or projects.
Eduardo Brondizio is Professor of Anthropology at Indiana University. He is motivated by the study of rural populations and small farmers in Brazil and Latin America, their ways of life and livelihoods, their social and economic identities, and their importance to the larger society. His research approach integrates ethnographic and historical investigation, household surveys, ethnobotanical methods, and tools such as remote sensing, GIS, network analysis, and diverse modeling techniques to study socioeconomic, demographic, and land use change at multiple levels of analysis. Since the late 1980s, he has centered his work in the Amazon region studying the formation and transformation of rural families and communities as they interact with government policies and development programs, regional and global commodity markets, demographic and environmental change, and it is concerned with the local and regional social-environmental implications of these processes, including the emergence of regional rural-urban network systems. He is also involved with several collaborative and comparative international programs examining human dimensions of global climate change and sustainable development.
Tracy Van Holt is a researcher at the Global Economic Dynamics in the Biosphere Program of the Royal Swedish Academy of Sciences and an affiliate researcher at the Stockholm Resilience Center. She is interested in how fisheries are changing in response to landscape change and transformations in food systems. Van Holt is experienced in geospatial analyses including land cover classification, change detection, topographic correction, and rule-based classification. She integrates content, social network, cultural consensus, and qualitative comparative analyses and ecological data in her work.
Melissa Beresford is a Ph.D. candidate in the School of Human Evolution and Social Change at Arizona State University. She received her MA in anthropology from the University of Chicago. She was a fellow with the Social Science Research Council and a visiting scholar at the Center for Advanced Study in Oslo, Norway. Melissa's current research is on cooperation between farmers and business elites in the bourgeoning South African rooibos tea industry. Melissa designs and supervises the online curricula in Anthropology and Global Health at Arizona State University and teaches classes in research methods. She has also taught the NSF-supported workshop on text analysis at the meetings of the Society for Applied Anthropology. Her qualitative methods experience includes supervising over 60 coders for a collaborative research project that coded and analyzed over 3,000 documents collected from 1,500 participants.
Amber Wutich is Assistant Professor of Anthropology at Arizona State University. She also holds affiliate appointments at the Global Institute for Sustainability, Center for Global Health and Center for the Study of Institutional Diversity at ASU. Dr. Wutich received her Ph.D. from the University of Florida and was a postdoctoral scholar in the National Science Foundation Long-term Ecological Research program in Central Arizona-Phoenix. Her research examines the limits of human adaptability to water scarcity, food insecurity, and climate change. She directs the Global Ethnohydrology Study, a multi-year study of cultural knowledge of water and climate conducted in 10 countries. Dr. Wutich teaches ethnographic field methods at ASU and text analysis as part of the National Science Foundation Short Courses on Research Methods for faculty in cultural anthropology.
Jeffrey C. Johnson is the University Distinguished Research Professor of Sociology, Thomas Harriot College of Arts and Sciences Distinguished Professor and a Senior Scientist at the Institute for Coastal Science and Policy at East Carolina University. He also holds adjunct positions in Anthropology, Biology and Biostatistics and is Adjunct Professor in the Institute for Software Research at Carnegie Melon University. He has consulted and published extensively in the area of social networks, was the founding editor of the Journal of Quantitative Anthropology, co-editor of the journal Human Organization, and is currently an associate editor for the Journal of Social Structure and the journal Social Networks. Johnson is the Director of the Summer Institute for Research Design in Cultural Anthropology funded by the National Science Foundation. He is also the author of Selecting Ethnographic Informants, Sage, 1990 and is co-author (with Borgatti and Everett) of the forthcoming book Analyzing Social Networks, Sage.
Christopher McCarty is Associate Professor of Anthropology and director of the UF Bureau of Economic and Business Research at the University of Florida. He has over twenty years of experience in primary data collection both within and outside the U.S. McCarty's research focus is on social network analysis, and more specifically the analysis of personal networks. In 2001 he developed a Egonet, a program designed for the collection and analysis of personal networks. This open source software is freely available at www.sourceforge.net and is being used by researchers worldwide for social network research. McCarty is currently working on several projects using this approach, including a study of acculturation among migrants, a study of stress and hypertension among African-Americans, and a study of social support among recovering drug users. McCarty is also involved in the development of a social network method for estimating the size of populations at risk of contracting HIV.
Elizabeth Cartwright is Professor of Anthropology and holds an affiliate appointment at the Division of Health Sciences School of Nursing at Idaho State University. Cartwright received her Ph.D. from the University of Arizona. Her research, in rural areas of the US and in Latin America is focused on using innovative methods to understand the various barriers to health and well-being that face under-served communities. Currently, she is working in the Peruvian Andes implementing a community-based, participatory research project assessing the impact of training frontline village healthcare workers as emergency first responders.
Jerome Crowder is Assistant Professor of Medical and Visual Anthropology in the Institute for the Medical Humanities at the University of Texas Medical Branch (UTMB), Galveston, Texas. Crowder received his Ph.D. from the University of Pittsburgh and was a NCI postdoctoral fellow at the University of Texas, School of Public Health, Houston. His research focuses on the urban intersection of ethnomedicine and biomedicine in Bolivia, Peru and Houston, Texas. Crowder taught Visual Anthropology, Visual Studies, and Contemporary Ethnographic Film at the University of Houston before moving to UTMB where he teaches Qualitative Methods and Visual Ethnography. He is the co-author of, Visual Research: A Concise Introduction to Thinking Visually with Jonathan S. Marion (Berg 2013) with whom he co-teaches the AAA workshop, Photography for the Field Parts 1 & 2. With Elizabeth Cartwright, he has taught Systematic Techniques for Gathering and Analyzing Video Data as part of the NSF-supported, Short Courses on Research Methods program in cultural anthropology.
Raymond Hames is a professor of Anthropology at the University of Nebraska – Lincoln. He received doctorate in anthropology from the University of California-Santa Barbara in 1978. His research focusses on native peoples of the Venezuelan Amazon (Yanomamö & Ye'kwana) with funding from the NSF, LSB Leakey Foundation, and Harry Frank Guggenheim Foundation. His research interests are in behavioral ecology applied to food and labor exchange, human ecology, marriage, kinship, and parental investment. He regularly teaches courses on social structure, contentious issues in anthropology, warfare, and introductory cultural anthropology. He is also president-elect of the Evolutionary Anthropology Society of the American Anthropological Association, consulting editor for Human Nature, and serves as treasurer of the Human Behavior and Evolution Society.
Jeremy Koster is Associate Professor of Anthropology at the University of Cincinnati, where he has worked since receiving a doctorate from Penn State University in 2007. His classes include quantitative ethnographic methods, a graduate-level statistics course, human behavioral ecology, primate behavior, and introductory biological anthropology. He conducts fieldwork among the indigenous Mayangna and Miskito of lowland Nicaragua with fieldwork support from the NSF, LSB Leakey Foundation, Fulbright, and the National Geographic Society. His research interests focus on foraging strategies, food sharing, social network analysis, reproductive ecology, ethnobiological knowledge, and the use of hunting dogs in small-scale societies. His recent publications promote the use of multilevel modeling statistical analysis to account for the complex data structures that characterize many anthropological datasets. He serves on the editorial board of Field Methods.
If you wish to pay for and participate in any of these courses, but do not wish to earn university credit, you may register using the links below next to each course. Upon completion of the following non-credit courses, you will receive a certificate of completion.