Training data from 1441 graduates of the U.S. Army Special Forces Qualifications Course (SFQC) offered an opportunity to test a multidimensional model of training performance. A three-factor model based partially on the Kraiger, Ford, & Salas (1993) framework was operationalized with level-of-performance training criteria (Sackett & Mullen, 1993) and successfully confirmed using confirmatory factor analysis (CFA). The model utilized the BE KNOW DO terminology from the U.S. Army?s leadership model to describe the cognitive, skill-based, and affective training outcome factors. Several alternative models were tested and found not to be identified, suggesting the Kraiger et al. (1993) version provided the best description of performance. Additionally, the BE KNOW DO model was successfully confirmed for two individual phases of the SFQC training separated in time. Therefore, structural equation modeling (SEM) analyses were conducted to determine the relationship of similar constructs over time. Each construct from the initial training phase was found to predict its counterpart in the later phase. The degree of relationship varied for the constructs, suggesting some were more influenced by time and situation. Two performance modeling issues?the specificity of performance constructs and the impact of overfitting a model to the idiosyncratic characteristics of the initial sample on cross-validation?were investigated as well. Results related to the specificity of modeling performance content were inconclusive. Both the one- and three-factor construct models failed to provide adequate fit. The over-modified model provided a worse fit upon cross-validation in 11 out of 12 cases, demonstrating the importance of cross-validating modified models. An integration of the training evaluation and job performance literatures is presented and serves as the rationale for proposing a general three-factor performance model. The idea that all performance can be described in terms of three factors regardless of the context, content, situation, measurement method, or performance level should be investigated. Future directions for practice and research are discussed.
| Identifer | oai:union.ndltd.org:NCSU/oai:NCSU:etd-01082003-010557 |
| Date | 22 January 2003 |
| Creators | Surface, Eric Alan |
| Contributors | Dr. Mike G. Sanders, Dr. Don W. Drewes, Dr. Bert W. Westbrook, Dr. Don L. Martin, Dr. Mark A. Wilson |
| Publisher | NCSU |
| Source Sets | North Carolina State University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://www.lib.ncsu.edu/theses/available/etd-01082003-010557/ |
| Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
Page generated in 0.0016 seconds