Computerized fuzzy ratings: The concept of a fuzzy class

In this paper, we outline the concept of a fuzzy class used in programs for eliciting computerized fuzzy ratings. Fuzzy ratings allow respondents to provide symmetrical or asymmetrical latitudes of acceptance around a preferred point. These ratings have been used in research testing career theories and person-environment fit models. The variables defining the fuzzy class and the various functions that can be performed by it are described in the paper. The idea of a fuzzy class may be of interest to those involved in expert systems, knowledge engineering, or in fuzzy classification and measurement in general. A program, FUZRATE, written in object-oriented C++ code that uses the concept of a fuzzy class, is available on request. Both source code and a binary (executable) file are available.     

Teaching peer reinforcement and grocery words: An investigation of observational learning and instructive feedback

A multiple probe across behaviors design, replicated across participants, assessed the effectiveness of constant time delay in teaching appropriate peer reinforcement and grocery words to 3 elementary students with moderate intellectual disabilities. Additionally, pretests and posttests assessed the acquisition of the participants' observational learning (acquisition of peers' grocery words) and instructive feedback (related information supplied by the teacher in the consequent event). Results indicate that the participants learned (a) how to appropriately reinforce peers, (b) to read their grocery words, (c) some of the targeted stimuli of their peers, and (d) much of the instructive feedback that was associated with each of the grocery words. Maintenance data indicate that the participants maintained their target grocery words at high levels of accuracy.