Evaluates project conducted by the Community and Family Study Center (CFSC) at the University of Chicago (UC) to assist selected LDC”s in evaluating family planning (FP) program effectiveness. Evaluation covers the period 7/1/76-6/1/78. No methodology is specified. CFSC has met or exceeded planned targets. Evaluations of FP program impact were completed in Thailand, Indonesia, South Korea, and Colombia and are in progress in the Philippines and Colombia. Assistance to Thailand and Indonesia indicated organized FP can help reduce fertility rates. LDC”s already surveyed were assisted in developing methods of data analysis. Computer programs were developed, data classified, tabulation tables formed, and recommendations made for data analysis. A work plan for analysis of the World Fertility Survey data was also developed and used in Bangladesh and Mexico. Egypt was assisted in secondary analysis of their 1974-75 National Fertility Survey, and Indonesia”s National Family Planning Board was assisted in preparing data from the Quarterly Acceptor Surveys for tabulation. Some 59 participants attended workshops in Thailand and Indonesia on formulation of client record systems and use of computer programs for tabulating FP data, and 75 foreign nationals attended two summer workshops at UC on demography, impact evaluation techniques, and computer processing. M.A. and Ph.D-training at CFSC was offered to several foreign nationals and to one American. Five manuals were completed on birth interval analysis, functional projections, and FP follow-up surveys. CFSC prepared country and regional population projections which account for present and postulated future effects of FP programs. CFSC has also developed projection techniques using computer programs and data from LDC”s and international organizations. Expansion of project-type activities is strongly recommended. Since, however, questions remain regarding the validity of the assumptions, methodology, and data of CFSC”s analysis techniques, it is also recommended that future contracts be based on competitive bids to obtain alternative approaches to FP analysis.
