Errors in demographic data: Simple methods of appraising demographic data – digit preference and, age-sex ratios, age-sex accuracy index, Whipples, Myers, United Nations indices etc. Adjustment of errors in demographic data: adjustment of census totals for under- or over enumeration, adjustment of age data e.g. Newton’s formula and the United Nations Smoothing Formula. Standardization techniques: direct and indirect.
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Introduction, Sources of data. Concept of Social Statistics, general characteristics of social statistics in Less Developing Countries. Difference between social and economic statistics. Sources of social and economic statistics: Published national, published international sources, unpublished sources. Population statistics: – national and international. Uses of census data, uses of sample surveys,…
DSS 204: Sources and Nature of Social and Economic Statistics II
External data, internal data, primary sources versus secondary sources of data. Housing statistics: sources; the need for housing statistics, uses of housing statistics; limitation of housing statistics. Criminal Statistics: The concept of crime prevention; nature and scope of crime in Africa; main sources of criminal statistics. Methods of collecting data…
DSS302: Measures of Population Change
Measurement of fertility, the crude birth rates, adjusted rates, age-sex standardized rate, fertility rates for order of birth, marital fertility rates, gross and net reproduction rates, child-woman ratio, nuptiality. Measurement of Mortality: crude death rate, standardize “direct and Indirect, measurement of mortality in infancy and childhood. The Life Table: Types,…
DSS 305: Research Methods in Demography
The use of statistical procedures in demographic research. Emphasis is placed on (1) the types of demographic research hypotheses that could be tested by some of the procedures; (i) the suitability of some of the procedures in studying differentials in response or the oral patterns; (ii) the usefulness of some…
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Fundamentally, this course will enable students to gain practical experience in the design of data collection instruments, data collection, analysis and report writing. Under the guidance of lecturers, who act as field supervisors, the students are grouped and taken to a community outside the University where they learn the basic…