The ERS Standard for Program Evaluation encompass front-end analysis, evaluability assessment, formative evaluation, impact evaluation, program monitoring, and evaluation of evaluation. Written as simple admonitory statements, the Standards are organized into sections on formative and negotiation, structure and design, data collection and…

If one undertakes naturalistic evaluation without formal training, there are some important considerations and sources of information to keep in mind. Labor intensive qualitative approaches are discussed in terms of field relations, data collection and analysis, and writing. (Author/LMO)

Effective internal evaluation requires dependable data for decision makers. Influences on clinical and fiscal data dependability are discussed. The focus is on organizational influences, data quality control, and staff concerns. (Author/PN)

Twenty-nine steps necessary for data file preparation for secondary analysis are discussed. Data base characteristics and planned use vary the complexity of the preparation. Required techniques (file verification, sample verification, file merger, data aggregation, file modification, and variable controls) and seven associated pitfalls are defined…

A detailed examination of the Higher Education General Information Survey (HEGIS) data base--its content, development, and past and potential uses for researchers--is presented. Because knowledge of the data elements is crucial for successful secondary analysis, procedures for collecting needed information on the data in HEGIS are suggested. (BS)

The organization and operations of an evaluation unit in a local governmental agency are presented. How local evaluation units manage (1) external relations (to obtain funding, to gain access to data sources, and encourage evaluation use) and (2) internal operations (including staffing, communication, data collection, and analysis) are described.…