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Coscarelli, William C.; Stonewater, Jerry K. – Journal of Instructional Development, 1979
Outlines Johnson's decision-making theory as a conceptual framework from which designers can work to facilitate effective relationships. The theory classifies clients into four styles: systematic internal, systematic external, spontaneous internal, and spontaneous external. (Author/JEG)
Descriptors: Consultants, Data Analysis, Instructional Development, Interpersonal Competence
Misanchuk, Earl R. – Journal of Instructional Development, 1985
This personal reaction to Cummings'"Comparison of Three Algorithms for Analyzing Questionnaire-Type Needs Assessment Data to Establish Need Priorities" specifically questions Cummings' use of the Mean Difference Analysis for comparison with Weighted Needs Index, and his focus on characteristics of the statistic that are of secondary…
Descriptors: Algorithms, Communication (Thought Transfer), Comparative Analysis, Data Analysis
Cummings, Oliver W. – Journal of Instructional Development, 1985
This study of training needs utilized a questionnaire to assess participant's opinions of knowledge level that should exist and knowledge level that does exist in 25 content areas and analyzed the resultant data using three different approaches: mean difference analysis, multicomponent data analysis, and weighted need index. (MBR)
Descriptors: Algorithms, Attitude Measures, Comparative Analysis, Data Analysis
Watson, Joan E.; Belland, John C. – Journal of Instructional Development, 1985
Describes an instructional development project in which data adequately describing learner characteristics was used to identify content for 18 continuing educational instructional modules for physician assistants. Utilization of learner data to provide instructional designer with precise criteria required to select content for both health and…
Descriptors: Course Content, Course Objectives, Data Analysis, Instructional Development
Misanchuk, Earl R. – Journal of Instructional Development, 1984
Reviews problems involved in analyzing data on educational or training needs and details use of the proportionate reduction in error (PRE) approach (Hildebrand, et al., 1977), which predicts the probability that certain combinations of a joint distribution will occur, then tests to see how closely the prediction matches the observation. (MBR)
Descriptors: Charts, Competence, Data Analysis, Educational Needs