Eric Anthony Day

Relationships among team ability composition, team mental models, and team performance

This study examined the relationship between the similarity and accuracy of team mental models and compared the extent to which each predicted team performance. The relationship between team ability composition and team mental models was also investigated. Eighty-three dyadic teams worked on a complex skill task in a 2-week training protocol. Results indicated that although similarity and accuracy of team mental models were significantly related, accuracy was a stronger predictor of team performance. In addition, team ability was more strongly related to the accuracy than to the similarity of team mental models and accuracy partially mediated the relationship between team ability and team performance, but similarity did not.

Large-Scale Investigation of the Role of Trait Activation Theory for Understanding Assessment Center Convergent and Discriminant Validity

This study used trait activation theory as a theoretical framework to conduct a large-scale test of the interactionist explanation of the convergent and discriminant validity findings obtained in assessment centers. Trait activation theory specifies the conditions in which cross-situationally consistent and inconsistent candidate performances are likely to occur. Results obtained by aggregating correlations across 30 multitrait-multimethod matrices supported the propositions of trait activation theory, shedding a more positive light on the construct validity puzzle in assessment centers. Overall, convergence among assessment center ratings was better between exercises that provided an opportunity to observe behavior related to the same trait, and discrimination among ratings within exercises was generally better for dimensions that were not expressions of the same underlying traits. Implications for assessment center research and practice are discussed.

The difference isn't black and white: stereotype threat and the race gap on Raven's Advanced Progressive Matrices.

This study addresses recent criticisms aimed at the interpretation of stereotype threat research and methodological weaknesses of previous studies that have examined race differences on Ravens Advanced Progressive Matrices (APM). African American and White undergraduates completed the APM under three conditions. In two threat conditions, participants received either standard APM instructions (standard threat) or were told that the APM was an IQ test (high threat). In a low threat condition, participants were told that the APM was a set of puzzles and that the researchers wanted their opinions of them. Results supported the stereotype threat interpretation of race differences in cognitive ability test scores. Although African American participants underperformed Whites under both standard and high threat instructions, they performed just as well as Whites did under low threat instructions.

Convergence of Self-Report and Archival Crash Involvement Data: A Two-Year Longitudinal Follow-Up

This study constructively extends Arthur et al. (2001) by assessing the convergence of self-report and archival motor vehicle crash involvement and moving violations data in a 2-year longitudinal follow-up. The relationships among these criteria, conscientiousness, and driving speed were also assessed using both predictive and postdictive criterion-related validation designs. Data were collected from a 2-year follow-up sample of 334 participants. Results suggested a lack of convergence between self-report and archival data at both Time 1 and Time 2. In addition, the predictor/criterion relationships varied across research design and data source. An actual application of our findings is that the interpretation of relationships between specified predictors and crash involvement and moving violations must be made within the context of the criterion-related validation design and criterion data source. Specifically, predictive designs may produce results different from those of postdictive designs (which are more commonly used). Furthermore, self-report data appear to include a broader range of incidents (more crashes and tickets), and thus researchers should consider using self-report data when they are interested in including lower threshold crashes and tickets that may not be reported on state records (e.g., because of the completion of a defensive driving course)

Learner-controlled practice difficulty in the training of a complex task: cognitive and motivational mechanisms

An inherent aspect of learner-controlled instructional environments is the ability of learners to affect the degree of difficulty faced during training. However, research has yet to examine how learner-controlled practice difficulty affects learning. Based on the notion of desirable difficulties (Bjork, 1994), this study examined the cognitive and motivational antecedents and outcomes of learner-controlled practice difficulty in relation to learning a complex task. Using a complex videogame involving both strong cognitive and psychomotor demands, 112 young adult males were given control over their practice difficulty, which was reflected in the complexity of the training task. Results show that general mental ability, prior experience, pre-training self-efficacy, and error encouragement were positively related to learner-controlled practice difficulty. In turn, practice difficulty was directly related to task knowledge and post-training performance, and it was related to adaptive performance through the mediating influences of task knowledge and post-training performance. In general, this study supports the notion that training difficulty operationalized in terms of task complexity is positively related to both knowledge and performance outcomes. Results are discussed with respect to the need for more research examining how task complexity and other forms of difficulty could be leveraged to advance learner-controlled instructional practices.

Mental Models and Creative Problem-Solving: The Relationship of Objective and Subjective Model Attributes

Knowledge, or expertise, has been held to contribute to creative problem-solving. In this effort, the relationship of one form of knowledge, mental models, to creative problem-solving was assessed. Undergraduates were asked to solve either a marketing or an education problem calling for creative thought. Prior to generating solutions to these problems, the mental models used by undergraduates to understand problems in these domains were assessed in terms of their objective and subjective features. It was found that both objective and subjective features of peoples mental models were related to the quality, originality, and elegance of problem solutions. The implications of these findings for understanding the role of mental models in creative problem-solving are discussed.

The Effect of Distributed Practice on Immediate Posttraining, and Long-Term Performance on a Complex Command-and-Control Simulation Task

Using 192 paid participants who trained on a command-and-control microworld simulation, we examined the comparative effectiveness of two distributed practice schedules in enhancing performance at the end of training as well as after an 8-week nonuse period. Longer interstudy intervals (10 hr of practice over 2 weeks) led to higher levels of skill at the end of training and after nonuse than shorter interstudy intervals (10 hr of practice over 1 week). The study begins to address gaps in the skill retention literature by using a cognitively complex task and an extended nonuse interval. The primary implication of our findings is that scheduling longer interstudy practice intervals is a viable means of enhancing immediate posttraining performance and promoting long-term skill retention for cognitively complex tasks.

Errors and Understanding: The Effects of Error-Management Training on Creative Problem-Solving

People make errors in their creative problem-solving efforts. The intent of this article was to assess whether error-management training would improve performance on creative problem-solving tasks. Undergraduates were asked to solve an educational leadership problem known to call for creative thought where problem solutions were scored for quality, originality, and elegance. Prior to beginning work on their problem solutions, participants were provided with training in 0 to 4 error-management strategies. It was found that error-management training was beneficial for talented people (as indicated by scores on the pretraining exercise) resulting in solutions of greater originality. The implications of these findings for improving performance on creative problem-solving tasks are discussed.

Causal Analysis to Enhance Creative Problem-Solving: Performance and Effects on Mental Models

In recent years, it has become apparent that knowledge is a critical component of creative thought. One form of knowledge that might be particularly important to creative thought relies on the mental models people employ to understand novel, ill-defined problems. In this study, undergraduates were given training in the use of causal relationships in applying mental models in creative problem-solving. A pre-post design was used to assess the effects of this training on mental models and creative problem-solving. It was found that causal analysis training resulted in the acquisition of better mental models (in terms of subjective and objective attributes) and better solutions (in terms of quality, originality, and elegance) to problems calling for creative thought among high-ability participants. The implications of these findings for understanding the role of mental models in creative problem-solving are discussed.

Collaborative training with a more experienced partner: remediating low pretraining self-efficacy in complex skill acquisition.

Objective: This study examined the effectiveness of collaborative training for individuals with low pretraining self-efficacy versus individuals with high pretraining selfefficacy regarding the acquisition of a complex skill that involved strong cognitive and psychomotor demands. Background: Despite support for collaborative learning from the educational literature and the similarities between collaborative learning and interventions designed to remediate low self-efficacy, no research has addressed how selfefficacy and collaborative learning interact in contexts concerning complex skills and human-machine interactions. Method: One hundred fifty-five young male adults trained either individually or collaboratively with a more experienced partner on a complex computer task that simulated the demands of a dynamic aviation environment. Participants also completed a task-specific measure of self-efficacy before, during, and after training. Results: Collaborative training enhanced skill acquisition significantly more for individuals with low pretraining self-efficacy than for individuals with high pretraining self-efficacy. However, collaborative training did not bring the skill acquisition levels of those persons with low pretraining self-efficacy to the levels found for persons with high pretraining self-efficacy. Moreover, tests of mediation suggested that collaborative training may have enhanced appropriate skill development strategies without actually raising self-efficacy. Conclusion: Although collaborative training can facilitate the skill acquisition process for trainees with low self-efficacy, future research is needed that examines how the negative effects of low pretraining self-efficacy on complex skill acquisition can be more fully remediated. Application: The differential effects of collaborative training as a function of self-efficacy highlight the importance of person analysis and tailoring training to meet differing trainee needs.