A dependency on correlational data allows one to avoid theory building and even to avoid defining terms. The social science community is being seduced by data and would do well to resist what is available simply because of its ease of tabulation and redundancy. (RL)

It is asserted that various factors, such as policy interests and available funding, influence the development of social indicators. However, it is stated that there is still enough uncertainty about significant social indicators to allow for experimentation. (Author/MH)

By drawing analogies to the history of mental testing, the author concludes that the responsibility for critical evaluation and beneficial use of social indicators rests with social scientists. Future directions of critical inquiry are suggested. (Author/MH)

Characteristics of population and economic measures as traditional social indicators are compared to more recent quality of life measures to demonstrate that social indicators are value statements at the policy level. Alternative perspectives are illustrated and the importance of assumptions implicit in a given indicator is discussed. (Author/MH)

Social area analysis (SAA) is defined, and its conceptual roots and principal applications identified. The utility of SAA is assessed by reviewing use of demographic data among several disciplines. Authors review seminal and recent contributions to the field. Ecological fallacies and other problematic facets of SAA are considered. (Author/DWH)

The characteristics of needs assessment, in terms of social and health programs, are discussed, as well as misunderstandings, criticisms, and suggested changes in needs assessment activities. (MH)