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The relationship of personal problem-solving to consultee preference for collaborative versus expert models of solution generation
Abstract
This study was conducted to clarify the relationship between consultees' problem solving perceptions and their behaviors and preferences for differing models of generating solutions. Specifically, the present investigation examined the relationship between personal problem solving and collaboratively-generated versus psychologist-generated problem solutions. The acceptability of solutions generated through collaborative or expert consultation interactions was investigated. A secondary purpose of this study was to determine if consultees' problem solving behaviors (problem definition, analysis, and solution skills) and expectations (for success, control, and perseverence) varied when exposed to these differing means of generating solutions. Subjects consisted of 165 college undergraduate students who were assigned to one of two treatment conditions. All subjects provided an appraisal of their own problem solving skills. Subjects viewed one of two videotapes, collaborative interaction or expert interaction. Across videotapes, consultee verbalizations were constant while consultant verbalizations contained controlled differences to reflect either a collaborative or expert approach. Subjects' acceptability of the generated solution, problem definition skills, problem analysis skills, problem solution skills, and expectations for success, control and perseverence served as the criterion variables. The results of the data analysis failed to indicate that the predictor variables significantly predicted the criterion variables. Limitations of the research are discussed as are implications for future research.
Subject Area
Educational psychology
Recommended Citation
Rogers-Wiese, Margaret Rose, "The relationship of personal problem-solving to consultee preference for collaborative versus expert models of solution generation" (1989). ETD collection for University of Nebraska-Lincoln. AAI8918568.
https://digitalcommons.unl.edu/dissertations/AAI8918568