Presents a model for instructional design that highlights formative evaluation as the central process. Other models of instructional design are discussed; data collection methods are examined; the evaluator's role is considered; and the recursive nature of the design process is emphasized. (seven references) (LRW)

Discusses strategic planning and describes three levels of strategic planning and thinking that can occur within an organization. Differences between reactive and proactive planning are explained, and a strategic planning model is presented that includes data collecting, planning, and implementation and evaluation. (10 references) (LRW)

Discusses results of a survey of trainers in midwest business and industry to identify the different data collection methods they used to determine job and task training needs as well as organizational and individual training needs within their organizations. (MBR)

Discusses the design of effective questionnaires based on the concept of a hierarchical classification of Levels of Information: global (Level I), general concept (Level II), and specific (Level III). By tying question types to the information desired, the entire questionnaire can be improved. (JJD)

This sixth in a series of articles describing IBM's Opportunity Management Program addresses the approach and methods used to accomplish a summative evaluation. Four levels of validation of performance and business results are discussed, and nontraditional methods of evaluation are recommended, including the use of data gathered by IBM in levels…

Discusses a collaborative approach to evaluating professional training methods. Describes 4 objectives and 10 steps for "evaluating evaluation" that include identifying the training and evaluation goal, forming an evaluation team, designing the evaluation, developing the methods, collecting data, interpreting findings, and reporting results. (AEF)

Discusses two tools necessary for the successful practice of human performance technology: gathering data and interpreting data. The focus is on what data to gather, how to gather it, and how to interpret the data. (Author/JKP)

Describes the Adjusted Agreement Index, a strategy for analyzing collected data from questionnaires utilizing Likert-type scales. Steps involved in using this index and its strengths and weaknesses are outlined, and a case study illustrating how it was used to summarize data on a distance education course package is presented. (MBR)

Presents a case study and findings of a training needs assessment which was conducted to determine the training implications of implementing an integral system of quality assurance at the Fridley, Minnesota, plant of Onan Corporation, a manufacturer of electric generator sets and switch gear. (MBR)

Reviews factors that determine sample size, recommended sample sizes, recommended procedures for determining the appropriate sample size, and sample sizes reported in published and unpublished evaluations. (Author)

Describes a method of improving teacher performance by making the instructor more aware of the consequences of his/her teaching. The system uses a Pet microcomputer with student response pads and an interface box to gather and summarize student reactions during ongoing instruction for comparison with a tape of the presentation. (JJD)