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Varela, Otmar E.; Cater, John James, III; Michel, Norbert – Human Resource Development Quarterly, 2011
This study tests a process model of learning in which trainer and trainee traits are simultaneously considered as endogenous variables of learning outcomes. The article builds on a social view of training and similarity-attraction paradigms. In this context, the authors hypothesize that trainer-trainee similarity in personality (agreeableness)…
Descriptors: Evidence, Undergraduate Students, Personality Traits, Interpersonal Attraction
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Chermack, Thomas J.; Nimon, Kim – Human Resource Development Quarterly, 2008
This research examines changes in decision-making styles as a result of participation in scenario planning. A quasi-experimental pretest-posttest design and several nonparametric tests were used to analyze data gathered from research participants in a technology firm in the Northeastern United States. Results show that participants tend to…
Descriptors: Decision Making, Cognitive Style, Quasiexperimental Design, Pretests Posttests
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Kaufman, Roger; Watkins, Ryan – Human Resource Development Quarterly, 1996
The Organizational Elements Model is a framework for assessing payoffs from organizational efforts such as training and human resource development, both to an organization and externally. It depicts what should/could be and what is for outcomes, outputs, products, processes, and inputs. (SK)
Descriptors: Cost Effectiveness, Data Analysis, Environmental Scanning, Models
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Holton, Elwood F., III; Bates, Reid A.; Bookter, Annette I.; Yamkovenko, V. Bogdan – Human Resource Development Quarterly, 2007
The Learning Transfer System Inventory (LTSI) was developed to identify a select set of factors with the potential to substantially enhance or inhibit transfer of learning to the work environment. It has undergone a variety of validation studies, including construct, criterion, and crosscultural studies. However, the convergent and divergent…
Descriptors: Work Environment, Transfer of Training, Test Validity, Program Validation