Journal ArticleDOI
Learning from errors: The role of context, emotion, and personality
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TLDR
In this paper, the authors focused on the relationship between negative emotionality and learning from errors and found a positive association between negative emotions and motivation to learn and perceived managerial intolerance of errors and emotional stability.Abstract:
This research focused on the relationship between negative emotionality and learning from errors Specifically, negative emotionality was expected to impair learning from errors by decreasing motivation to learn Perceived managerial intolerance of errors was hypothesized to increase negative emotionality, whereas emotional stability was proposed to decrease negative emotionality All the hypotheses were tested in a laboratory simulation Contrary to the prediction, a positive association was found between negative emotionality and motivation to learn The effects of perceived managerial intolerance of errors and emotional stability on negative emotionality were as predicted Moreover, exploratory data analyses were conducted at the level of specific negative emotions and revealed differentiated effects of specific negative emotions on learning from errors Copyright © 2010 John Wiley & Sons, Ltdread more
Citations
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Establishing a safe container for learning in simulation: the role of the presimulation briefing
TL;DR: It is argued that certain practices create a psychologically safe context for learning, a so-called safe container, that allows learners to engage actively in simulation plus debriefings despite possible disruptions to that engagement such as unrealistic aspects of the simulation.
Journal ArticleDOI
Learning in the Twenty-First-Century Workplace
TL;DR: In this paper, a selective review of research on learning that occurs in many different forms and at the individual, team, and organizational levels is presented, organized around five themes: thinking differently about learning, reconsidering the form and design of learning, facilitating learning in the workplace, expanding the scope of learning outcomes, and improving methodology in learning research.
Journal ArticleDOI
Action Errors, Error Management, and Learning in Organizations
Michael Frese,Nina Keith +1 more
TL;DR: This review suggests that error prevention needs to be supplemented by error management--an approach directed at effectively dealing with errors after they have occurred, with the goal of minimizing negative and maximizing positive error consequences.
Journal ArticleDOI
Learning from Errors.
TL;DR: Experimental investigations indicate that errorful learning followed by corrective feedback is beneficial to learning, and the beneficial effects are particularly salient when individuals strongly believe that their error is correct.
Journal ArticleDOI
Cognitive Load Theory for the Design of Medical Simulations.
TL;DR: Cognitive load theory is found to be highly relevant to teaching in the simulation laboratory and a useful conceptual framework to reference when designing or researching simulation-based education.
References
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Journal ArticleDOI
The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.
Reuben M. Baron,David A. Kenny +1 more
TL;DR: This article seeks to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating the many ways in which moderators and mediators differ, and delineates the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena.
Journal ArticleDOI
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Journal ArticleDOI
Structural equation modeling in practice: a review and recommended two-step approach
TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
Journal ArticleDOI
Comparative fit indexes in structural models
TL;DR: A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models and two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes.
Book
Structural Equations with Latent Variables
TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.