Malawi Diffusion and Ideational Change Project (MDICP), 1998 and 2001 (ICPSR 20840)
Principal Investigator(s): Behrman, Jere R., University of Pennsylvania. Population Studies Center; Chimbiri, Agnes M., University of Malawi. College of Medicine; Chimwaza, Angela, University of Malawi. Kamuzu College of Nursing; Kohler, Hans-Peter, University of Pennsylvania. Population Studies Center; Watkins, Susan C., University of Pennsylvania. Population Studies Center
Summary: The Malawi Diffusion and Ideational Change Project (MDICP) was originally developed as a sister project of the Kenya Diffusion and Ideational Change Project (KDICP), but with a larger sample and greater geographical dispersion. Both the KDICP and the MDICP aimed to examine the role of social interactions in changing demographic attitudes and behavior. The first two waves of the MDICP (carried out in 1998 and 2001) focused on two key empirical questions: the roles of social interactions in (1) th... (more info)
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Behrman, Jere R., Agnes M. Chimbiri, Angela Chimwaza, Hans-Peter Kohler, and Susan C. Watkins. Malawi Diffusion and Ideational Change Project (MDICP), 1998 and 2001. ICPSR20840-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2008-05-21. doi:10.3886/ICPSR20840.v1
Persistent URL: http://dx.doi.org/10.3886/ICPSR20840.v1
This survey was funded by:
- United States Department of Health and Human Services. National Institutes of Health. Eunice Kennedy Shriver National Institute of Child Health and Human Development
- Rockefeller Foundation
Scope of Study
Summary: The Malawi Diffusion and Ideational Change Project (MDICP) was originally developed as a sister project of the Kenya Diffusion and Ideational Change Project (KDICP), but with a larger sample and greater geographical dispersion. Both the KDICP and the MDICP aimed to examine the role of social interactions in changing demographic attitudes and behavior. The first two waves of the MDICP (carried out in 1998 and 2001) focused on two key empirical questions: the roles of social interactions in (1) the acceptance (or rejection) of modern contraceptive methods and of smaller ideal family size and (2) the diffusion of knowledge of AIDS symptoms and transmission mechanisms and the evaluation of acceptable strategies of protection against AIDS. Beginning with the third wave in 2004, the MDICP expanded in several directions: (1) A sample of adolescents (age 15-24, married and unmarried) was added to the base sample of ever-married women and their husbands, (2) Biomarkers for HIV and other sexually transmitted infections were collected from all respondents who consented, and the results were provided to those who requested them, (3) GPS coordinates were collected for all sampled households.
Subject Terms: AIDS, birth control, birth expectations, communicable diseases, family planning, family structure, health attitudes, health behavior, health status, HIV, household composition, household income, husbands, livestock, livestock income, marital status, marriage, religious affiliation, remarriage, reproductive history, sexual attitudes, sexual behavior, social life, social networks, spouses, traditional healers, wives
Date of Collection:
Unit of Observation: individual
Universe: Ever-married women and their husbands in the Rumphi, Balaka, and Mchinji Districts of Malawi.
Data Types: survey data
Sample: The sampling strategy was not designed to be representative of the national population of rural Malawi, although the sample characteristics closely match the characteristics of the rural population of the Malawi Demographic and Health Survey. The target sample was 500 ever-married women in each district, plus their husbands. Husbands were included in the sample not only to gauge the effect of informal conversation networks on their sexual and fertility behavior, but also to examine the extent of informal conversations between husbands and wives on these issues. For polygamous men, it was important to restrict the men's responses about dealings with their spouse to one of their wives. This was done by randomly assigning the reference wife prior to interviewing. If a man had two or three wives who qualified for our sample, each wife had an equal chance of being a referent wife. Thus, w/ 2 wives --> 1/2 chance, and w/ 3 wives --> 1/3 chance. In each case we marked questionnaires before going to the field (e.g., "if 2 wives then ask about second wife in this case"). However, the way that the questionnaires were distributed in the field was random.
Mode of Data Collection: face-to-face interview
Original ICPSR Release: 2008-05-21
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