ORCID Profile
0000-0002-5344-9376
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Psychology | Industrial and Organisational Psychology | Learning, Memory, Cognition And Language | Industrial And Organisational Psychology | Organisational Behaviour | Decision Making | Cognitive Science | Fire Management | Human Resources Management | Computer-Human Interaction | Computer-Human Interaction | Psychology Not Elsewhere Classified |
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in Psychology and Cognitive Sciences | Productivity (excl. Public Sector) | Air transport | Workplace Safety | Occupational training | Public services management | Expanding Knowledge in Commerce, Management, Tourism and Services | National Security | Aerospace Transport not elsewhere classified | Behavioural and cognitive sciences | Computer software and services not elsewhere classified | Productivity | Community services not elsewhere classified | Air Safety | Coastal Sea Freight Transport | Occupational Health | International Sea Freight Transport (excl. Live Animal Transport)
Related Links
Publications
How demands and resources impact chronic fatigue in the maritime industry. The mediating effect of acute fatigue, sleep quality and recovery
Publisher: Elsevier BV
Date: 2020
Employee motivation profiles, energy levels, and approaches to sustaining energy: A two-wave latent-profile analysis
Publisher: Elsevier BV
Date: 12-2021
An examination of the dynamic relationship between self-efficacy and performance across levels of analysis and levels of specificity
Publisher: American Psychological Association (APA)
Date: 2006
DOI: 10.1037/0021-9010.91.5.1088
Abstract: This research used resource allocation theory to generate predictions regarding dynamic relationships between self-efficacy and task performance from 2 levels of analysis and specificity. Participants were given multiple trials of practice on an air traffic control task. Measures of task-specific self-efficacy and performance were taken at repeated intervals. The authors used multilevel analysis to demonstrate differential and dynamic effects. As predicted, task-specific self-efficacy was negatively associated with task performance at the within-person level. On the other hand, average levels of task-specific self-efficacy were positively related to performance at the between-persons level and mediated the effect of general self-efficacy. The key findings from this research relate to dynamic effects--these results show that self-efficacy effects can change over time, but it depends on the level of analysis and specificity at which self-efficacy is conceptualized. These novel findings emphasize the importance of conceptualizing self-efficacy within a multilevel and multispecificity framework and make a significant contribution to understanding the way this construct relates to task performance.
The Influence of Memory for Prior Instances on Performance in a Conflict Detection Task.
Publisher: American Psychological Association (APA)
Date: 2004
Departures from optimality when pursuing multiple approach or avoidance goals
Publisher: American Psychological Association (APA)
Date: 07-2016
DOI: 10.1037/APL0000082
Perceptions of safety at work: A framework for linking safety climate to safety performance, knowledge, and motivation.
Publisher: American Psychological Association (APA)
Date: 2000
A dynamic, self-regulatory model of affect and performance: Interactions between states, traits and task demands
Publisher: Springer Science and Business Media LLC
Date: 28-08-2014
Cognitive control and capacity for prospective memory in complex dynamic environments.
Publisher: American Psychological Association (APA)
Date: 12-2019
DOI: 10.1037/XGE0000599
Abstract: Performing deferred actions in the future relies upon Prospective Memory (PM). Often, PM demands arise in complex dynamic tasks. Not only can PM be challenging in such environments, the processes required for PM may affect the performance of other tasks. To adapt to PM demands in such environments, humans may use a range of strategies, including flexible allocation of cognitive resources and cognitive control mechanisms. We sought to understand such mechanisms by using the Prospective Memory Decision Control (Strickland, Loft, Remington, & Heathcote, 2018) model to provide a comprehensive, quantitative account of dual task performance in a complex dynamic environment (a simulated air traffic control conflict detection task). We found that PM demands encouraged proactive control over ongoing task decisions, but that this control was reduced at high time pressure to facilitate fast responding. We found reactive inhibitory control over ongoing task processes when PM targets were encountered, and that time pressure and PM demand both affect the attentional system, increasing the amount of cognitive resources available. However, as demands exceeded the capacity limit of the cognitive system, resources were reallocated (shared) between the ongoing and PM tasks. As the ongoing task used more resources to compensate for additional time pressure demands, it drained resources that would have otherwise been available for PM task processing. This study provides the first detailed quantitative understanding of how attentional resources and cognitive control mechanisms support PM and ongoing task performance in complex dynamic environments. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
An examination of the relationship between workload and fatigue within and across consecutive days of work: is the relationship static or dynamic?
Publisher: American Psychological Association (APA)
Date: 2009
DOI: 10.1037/A0014952
Abstract: Cognitive-energetical theories of information processing were used to generate predictions regarding the relationship between perceived workload and fatigue within and across consecutive days of work. Repeated measures were taken aboard a naval vessel from a s le of 20 Navy patrol vessel crew members during nonroutine and routine patrols. The hypotheses were tested through growth curve modeling. There was a nonmonotonic relationship between workload and fatigue in the routine patrol moderate workload was associated with the lowest fatigue. The relationship between workload and fatigue changed over consecutive days in the nonroutine patrol. At the beginning of the patrol, low workload was associated with fatigue. At the end of the patrol, high workload was associated with fatigue. These results suggest that the optimal level of workload can change over time and thus have implications for the management of fatigue, particularly where prolonged operations are involved.
An integrative formal model of motivation and decision making: The MGPM*.
Publisher: American Psychological Association (APA)
Date: 09-2016
DOI: 10.1037/APL0000121
Abstract: We develop and test an integrative formal model of motivation and decision making. The model, referred to as the extended multiple-goal pursuit model (MGPM*), is an integration of the multiple-goal pursuit model (Vancouver, Weinhardt, & Schmidt, 2010) and decision field theory (Busemeyer & Townsend, 1993). Simulations of the model generated predictions regarding the effects of goal type (approach vs. avoidance), risk, and time sensitivity on prioritization. We tested these predictions in an experiment in which participants pursued different combinations of approach and avoidance goals under different levels of risk. The empirical results were consistent with the predictions of the MGPM*. Specifically, participants pursuing 1 approach and 1 avoidance goal shifted priority from the approach to the avoidance goal over time. Among participants pursuing 2 approach goals, those with low time sensitivity prioritized the goal with the larger discrepancy, whereas those with high time sensitivity prioritized the goal with the smaller discrepancy. Participants pursuing 2 avoidance goals generally prioritized the goal with the smaller discrepancy. Finally, all of these effects became weaker as the level of risk increased. We used quantitative model comparison to show that the MGPM* explained the data better than the original multiple-goal pursuit model, and that the major extensions from the original model were justified. The MGPM* represents a step forward in the development of a general theory of decision making during multiple-goal pursuit. (PsycINFO Database Record
Investigating the joint effects of overload and underload on chronic fatigue and wellbeing
Publisher: Informa UK Limited
Date: 23-02-2021
Using response time modeling to understand the sources of dual-task interference in a dynamic environment.
Publisher: American Psychological Association (APA)
Date: 10-2019
DOI: 10.1037/XHP0000672
Abstract: This article examines the causes of dual-task interference in a time pressured dynamic environment. Resource sharing theories are often used as a theoretical framework to understand dual-task interference. These frameworks propose that resources from a limited pool of information-processing capacity are reallocated toward the primary task as task load increases and, as a result, secondary-task performance declines if the total demand exceeds capacity limit. However, tests of resource models have relied on behavioral results that could be because of a number of different cognitive processes, including changes in response caution, rate of information processing, nondecision processes, and response biases. We applied evidence-accumulation models to quantify the cognitive processes underlying performance in a dual-task paradigm to examine the causes underlying dual-task interference. We fit performance in time-pressured environment on both a primary classification task and a secondary detection task using evidence-accumulation models. Under greater time pressure, the rate of information processing increased for the primary task while response caution decreased, whereas the rate of information processing for the secondary task declined with greater time pressure. Assuming the rate of evidence accumulation is proportional to available capacity these results are consistent with resource theory and highlight the value of evidence-accumulation models for understanding the complex set of processes underlying dual-task interference. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
The development of a general associative learning account of skill acquisition in a relative arrival-time judgment task.
Publisher: American Psychological Association (APA)
Date: 2007
DOI: 10.1037/0096-1523.33.4.938
Abstract: Current theory assumes that in iduals only use information from the immediate environment to perform relative arrival-time judgment tasks. This article presents a theoretical analysis of the memory requirements of this task. The authors present an analysis of the inputs to the memory system and the processes that map those inputs onto outputs. The analysis generates a set of predictions regarding the specificity of transfer and the role of context during learning. In 3 experiments, participants decided whether pairs of aircraft would violate a minimum separation standard or pass each other safely. Participants were presented with pairs of aircraft in which properties of the pair varied along 3 structural and 3 surface dimensions. Contexts were defined by the co-occurrence of specific values along stimulus dimensions and the use of a neutral label. The results suggest that transfer was limited by the dimensions that were varied in training and the context in which those dimensions were varied. The discussion focuses on the problems that complex tasks like relative judgment pose for associative learning mechanisms and the development of precise models of cognition.
Prospective memory in the red zone: Cognitive control and capacity sharing in a complex, multi-stimulus task.
Publisher: American Psychological Association (APA)
Date: 12-2019
DOI: 10.1037/XAP0000224
Abstract: Remembering to perform a planned action upon encountering a future event requires event-based Prospective Memory (PM). PM is required in many human factors settings in which operators must process a great deal of complex, uncertain information from an interface. We study event-based PM in such an environment. Our task, which previous research has found is very demanding (Palada, Neal, Tay, & Heathcote, 2018), requires monitoring ships as they cross the ocean on a display. We applied the Prospective Memory Decision Control Model (Strickland, Loft, Remington, & Heathcote, 2018) to understand the cognitive mechanisms that underlie PM performance in such a demanding environment. We found evidence of capacity sharing between monitoring for PM items and performing the ongoing surveillance task, whereas studies of PM in simpler paradigms have not (e.g., Strickland et al., 2018). We also found that participants applied proactive and reactive control (Braver, 2012) to adapt to the demanding task environment. Our findings illustrate the value of human factors simulations to study capacity sharing between competing task processes. They also illustrate the value of cognitive models to illuminate the processes underlying adaptive behavior in complex environments. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Using “War Stories” to Train for Adaptive Performance: Is it Better to Learn from Error or Success?
Publisher: Wiley
Date: 28-02-2006
The effect of motor task precision on pupil diameter
Publisher: Elsevier BV
Date: 11-2017
DOI: 10.1016/J.APERGO.2017.07.010
Abstract: It is well established that an increase in cognitive task demands is associated with increased pupil diameter. However, the effect of increased motor task demands on pupil diameter is less clear. Previous research indicates that higher motor task complexity increases pupil diameter but suggests that higher motor task precision demands may decrease pupil diameter during task movement. The current study investigated the effect of increased motor task precision on pupil diameter using a Fitts' Law movement task to manipulate motor response precision. Increased precision demands were associated with reduced pupil diameter during the response preparation and response execution phases of the movement trials. This result has implications for the interpretation of pupil diameter as an index of workload during tasks which involve precise motor movements.
The dynamics of avoidance goal regulation
Publisher: Springer Science and Business Media LLC
Date: 11-11-2017
An analysis of relational complexity in an air traffic control conflict detection task
Publisher: Informa UK Limited
Date: 15-11-2006
Subjective cognitive effort: A model of states, traits, and time
Publisher: American Psychological Association (APA)
Date: 2008
DOI: 10.1037/0021-9010.93.3.617
Abstract: Self-regulation theories were used to develop a dynamic model of the determinants of subjective cognitive effort. The authors assessed the roles of malleable states and stable in idual differences. Subjective cognitive effort and perceived difficulty were measured while in iduals performed an air traffic control task. As expected, Conscientiousness moderated the effort trajectory. In iduals with high Conscientiousness maintained subjective cognitive effort at high levels for longer than their counterparts. There were also in idual differences in reactions to perceptions of task difficulty. The intra-in idual relationship between perceived difficulty and subjective cognitive effort was stronger for in iduals with low ability or low Conscientiousness than for their counterparts. A follow-up study showed that the measures of perceived difficulty and subjective cognitive effort were sensitive to a task difficulty manipulation as well as that the relationship between perceived difficulty and subjective cognitive effort held after controlling for self-set goal level. These findings contribute to the self-regulation literature by identifying factors that influence changes in subjective cognitive effort during skill acquisition.
Safety climate and culture: Integrating psychological and systems perspectives
Publisher: American Psychological Association (APA)
Date: 07-2017
DOI: 10.1037/OCP0000072
Abstract: Safety climate research has reached a mature stage of development, with a number of meta-analyses demonstrating the link between safety climate and safety outcomes. More recently, there has been interest from systems theorists in integrating the concept of safety culture and to a lesser extent, safety climate into systems-based models of organizational safety. Such models represent a theoretical and practical development of the safety climate concept by positioning climate as part of a dynamic work system in which perceptions of safety act to constrain and shape employee behavior. We propose safety climate and safety culture constitute part of the enabling capitals through which organizations build safety capability. We discuss how organizations can deploy different configurations of enabling capital to exert control over work systems and maintain safe and productive performance. We outline 4 key strategies through which organizations to reconcile the system control problems of promotion versus prevention, and stability versus flexibility. (PsycINFO Database Record
The Contribution of Task Performance and Contextual Performance to Effectiveness: Investigating the Role of Situational Constraints
Publisher: Wiley
Date: 07-2000
Instance-based categorization: Automatic versus intentional forms of retrieval
Publisher: Springer Science and Business Media LLC
Date: 03-1995
DOI: 10.3758/BF03197224
Abstract: Two experiments are reported which attempt to disentangle the relative contribution of intentional and automatic forms of retrieval to instance-based categorization. A financial decision-making task was used in which subjects had to decide whether a bank would approve loans for a series of applicants. Experiment 1 found that categorization was sensitive to instance-specific knowledge, even when subjects had practiced using a simple rule. L. L. Jacoby's (1991) process-dissociation procedure was adapted for use in Experiment 2 to infer the relative contribution of intentional and automatic retrieval processes to categorization decisions. The results provided (1) strong evidence that intentional retrieval processes influence categorization, and (2) some preliminary evidence suggesting that automatic retrieval processes may also contribute to categorization decisions.
ATC-labAdvanced: An air traffic control simulator with realism and control
Publisher: Springer Science and Business Media LLC
Date: 02-2009
DOI: 10.3758/BRM.41.1.118
The impact of organizational climate on safety climate and individual behavior
Publisher: Elsevier BV
Date: 02-2000
Developing a Model of Individual Performance for Human Resource Management
Publisher: SAGE Publications
Date: 1999
Atomic structure of the continuous random network of amorphous C[(C6H4)2]2 PAF-1
Publisher: Elsevier BV
Date: 06-2022
Origin of the Large Entropy Change in the Molecular Caloric and Ferroelectric Ammonium Sulfate
Publisher: Wiley
Date: 26-08-2022
Abstract: The deceptively simple inorganic salt ammonium sulfate undergoes a ferroelectric phase transition associated with a very large entropy change and both electrocaloric and barocaloric functionality. While the structural origins of the electrical polarisation are now well established, those of the entropy change have been controversial for over 50 years. This question is resolved here using a combination of density‐functional theory phonon calculations with inelastic neutron scattering under variable temperature and pressure, supported by complementary total and quasielastic neutron scattering experiments. A simple model of the entropy in which each molecular ion is disordered across the mirror plane in the high symmetry phase, although widely used in the literature, proves to be untenable. Instead, the entropy arises from low‐frequency librations of ammonium ions in this phase, with harmonic terms that are very small or even negative. These results suggest that, in the search for molecular materials with functionality derived from large entropy changes, vibrational entropy arising from broad energy minima is likely to be just as important as configurational entropy arising from crystallographic disorder.
A multilevel analysis of effort, practice, and performance: Effects of ability, conscientiousness, and goal orientation
Publisher: American Psychological Association (APA)
Date: 2004
A theory and model of conflict detection in air traffic control: Incorporating environmental constraints.
Publisher: American Psychological Association (APA)
Date: 2009
DOI: 10.1037/A0016118
Abstract: A performance theory for conflict detection in air traffic control is presented that specifies how controllers adapt decisions to compensate for environmental constraints. This theory is then used as a framework for a model that can fit controller intervention decisions. The performance theory proposes that controllers apply safety margins to ensure separation between aircraft. These safety margins are formed through experience and reflect the biasing of decisions to favor safety over accuracy, as well as expectations regarding uncertainty in aircraft trajectory. In 2 experiments, controllers indicated whether they would intervene to ensure separation between pairs of aircraft. The model closely predicted the probability of controller intervention across the geometry of problems and as a function of controller experience. When controller safety margins were manipulated via task instructions, the parameters of the model changed in the predicted direction. The strength of the model over existing and alternative models is that it better captures the uncertainty and decision biases involved in the process of conflict detection. (PsycINFO Database Record (c) 2009 APA, all rights reserved).
Interruptions in healthcare: Modeling dynamic processes and effects at a team level
Publisher: Elsevier BV
Date: 10-2023
A General Architecture for Modeling the Dynamics of Goal-Directed Motivation and Decision-Making
Publisher: American Psychological Association (APA)
Date: 2021
DOI: 10.1037/REV0000324
Abstract: We present a unified model of the dynamics of goal-directed motivation and decision-making. The model-referred to as the GOAL architecture-provides a quantitative framework for integrating theories of goal pursuit and for relating their predictions to different types of data. The GOAL architecture proposes that motivation changes over time according to three gradients that capture the effects of the distance to the goal (i.e., the progress remaining), the time to the deadline, and the rate of progress required to achieve the goal. This enables the integration and comparison of six theoretical perspectives that make different predictions about how these dynamics unfold when pursuing approach and avoidance goals. Hierarchical Bayesian modeling was used to analyze data from three experiments which manipulate distance to goal, time to deadline, and goal type (approach vs. avoidance), and data from the naturalistic context of professional basketball. The results show that people rely on the distance and rate gradients, and to a lesser degree the time gradient, when making resource allocation decisions during goal pursuit, although the relative influence of the gradients depends on the goal type. We also demonstrate how the GOAL architecture can be used to answer questions about the influence of goal importance. Our findings suggest that goal pursuit unfolds in a complex manner that cannot be accounted for by any one previous theoretical perspective, but that is well-characterized by our unified framework. This research highlights the importance of theoretical integration for understanding motivation and decision-making during goal pursuit. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Development and Validation of a Multilevel Model for Predicting Workload Under Routine and Nonroutine Conditions in an Air Traffic Management Center
Publisher: SAGE Publications
Date: 12-06-2013
Abstract: The aim of this study was to develop a model capable of predicting variability in the mental workload experienced by frontline operators under routine and nonroutine conditions. Excess workload is a risk that needs to be managed in safety-critical industries. Predictive models are needed to manage this risk effectively yet are difficult to develop. Much of the difficulty stems from the fact that workload prediction is a multilevel problem. A multilevel workload model was developed in Study 1 with data collected from an en route air traffic management center. Dynamic density metrics were used to predict variability in workload within and between work units while controlling for variability among raters. The model was cross-validated in Studies 2 and 3 with the use of a high-fidelity simulator. Reported workload generally remained within the bounds of the 90% prediction interval in Studies 2 and 3. Workload crossed the upper bound of the prediction interval only under nonroutine conditions. Qualitative analyses suggest that nonroutine events caused workload to cross the upper bound of the prediction interval because the controllers could not manage their workload strategically. The model performed well under both routine and nonroutine conditions and over different patterns of workload variation. Workload prediction models can be used to support both strategic and tactical workload management. Strategic uses include the analysis of historical and projected workflows and the assessment of staffing needs. Tactical uses include the dynamic reallocation of resources to meet changes in demand.
Predicting the form and direction of work role performance from the Big 5 model of personality traits
Publisher: Wiley
Date: 26-01-2012
DOI: 10.1002/JOB.742
Quantifying the psychological value of goal achievement
Publisher: Springer Science and Business Media LLC
Date: 06-07-2018
DOI: 10.3758/S13423-017-1329-1
Abstract: It is often assumed that people put forth the least amount of effort necessary to obtain a reward. This assumption is consistent with so-called "rational" economic models of behavior. Yet these models rarely take into account the motivating effects of goals, which may lead to departures from objective reward maximizing behavior. We present an experiment in which people make a series of prioritization decisions whilst pursuing two approach or avoidance goals. Participants were rewarded $10 if they achieved both goals on a randomly selected trial, and either $0, $2.50, $5, $7.50, or $10 if they achieved only one. Bayesian parameter estimation was used to examine the subjective values that people placed on various goal achievement outcomes. The results suggested that people often discounted the achievement of the first goal, relative to a reward maximizing model, particularly when pursuing avoidance goals. These results were most evident among participants who could obtain the full reward after achieving just one goal, yet behaved as if achieving one goal was only half as valuable as achieving both. Our findings question the notion that people put forth the least amount of effort required to obtain a reward. They suggest that when tasks have explicit goals, people may even sacrifice financial reward to achieve the goals.
An Integrated Approach to Testing Dynamic, Multilevel Theory: Using Computational Models to Connect Theory, Model, and Data
Publisher: SAGE Publications
Date: 31-10-2019
Abstract: Some of the most influential theories in organizational sciences explicitly describe a dynamic, multilevel process. Yet the inherent complexity of such theories makes them difficult to test. These theories often describe multiple subprocesses that interact reciprocally over time at different levels of analysis and over different time scales. Computational (i.e., mathematical) modeling is increasingly advocated as a method for developing and testing theories of this type. In organizational sciences, however, efforts that have been made to test models empirically are often indirect. We argue that the full potential of computational modeling as a tool for testing dynamic, multilevel theory is yet to be realized. In this article, we demonstrate an approach to testing dynamic, multilevel theory using computational modeling. The approach uses simulations to generate model predictions and Bayesian parameter estimation to fit models to empirical data and facilitate model comparisons. This approach enables a direct integration between theory, model, and data that we believe enables a more rigorous test of theory.
LEAD operational safety: Development and validation of a tool to measure safety control strategies
Publisher: Elsevier BV
Date: 10-2019
Item order matters in a function learning task.
Publisher: American Psychological Association (APA)
Date: 06-2012
DOI: 10.1037/A0026639
Revisiting the functional properties of self-efficacy: A dynamic perspective
Publisher: SAGE Publications
Date: 21-05-2013
Abstract: This paper is a response to Bandura’s 2012 Guest Editorial, which defends the functional properties of self-efficacy by criticizing published studies that have demonstrated a negative relationship between self-efficacy and performance at the within-person level of analysis. We focus on the theoretical and methodological criticisms that Bandura has made in relation to our (Yeo & Neal) 2006 piece that examined the dynamic relationship between self-efficacy and performance across levels of analysis and specificity. In doing so, we explain the importance of designing and analyzing studies involving self-efficacy at the within-person level of analysis. We then demonstrate how the concept of resource allocation can explain the co-existence of positive and negative dynamic self-efficacy effects across the between- and within-person levels of analysis. We acknowledge the great strides that researchers have made in understanding the complex and dynamic processes involving self-efficacy and encourage researchers to continue this collective effort.
Changes in affect during the pursuit of performance goals.
Publisher: American Psychological Association (APA)
Date: 12-0018
DOI: 10.1037/EMO0001164
Human Factors and Ergonomics
Publisher: Elsevier
Date: 2015
An examination of learning processes during critical incident training: Implications for the development of adaptable trainees.
Publisher: American Psychological Association (APA)
Date: 2006
DOI: 10.1037/0021-9010.91.6.1276
Abstract: Three experiments are reported that examined the process by which trainees learn decision-making skills during a critical incident training program. Formal theories of category learning were used to identify two processes that may be responsible for the acquisition of decision-making skills: rule learning and exemplar learning. Experiments 1 and 2 used the process dissociation procedure (L. L. Jacoby, 1998) to evaluate the contribution of these processes to performance. The results suggest that trainees used a mixture of rule and exemplar learning. Furthermore, these learning processes were influenced by different aspects of training structure and design. The goal of Experiment 3 was to develop training techniques that enable trainees to use a rule adaptively. Trainees were tested on cases that represented exceptions to the rule. Unexpectedly, the results suggest that providing general instruction regarding the kinds of conditions in which a decision rule does not apply caused them to fixate on the specific conditions mentioned and impaired their ability to identify other conditions in which the rule might not apply. The theoretical, methodological, and practical implications of the results are discussed.
Thermal Disorder and Bond Anharmonicity in Cesium Lead Iodide Studied by Neutron Total Scattering and the Reverse Monte Carlo Method
Publisher: American Chemical Society (ACS)
Date: 28-05-2019
Is Behavioral Engagement a Distinct and Useful Construct?
Publisher: Cambridge University Press (CUP)
Date: 03-2008
A study of the lagged relationships among safety climate, safety motivation, safety behavior, and accidents at the individual and group levels.
Publisher: American Psychological Association (APA)
Date: 2006
DOI: 10.1037/0021-9010.91.4.946
Abstract: The authors measured perceptions of safety climate, motivation, and behavior at 2 time points and linked them to prior and subsequent levels of accidents over a 5-year period. A series of analyses examined the effects of top-down and bottom-up processes operating simultaneously over time. In terms of top-down effects, average levels of safety climate within groups at 1 point in time predicted subsequent changes in in idual safety motivation. In idual safety motivation, in turn, was associated with subsequent changes in self-reported safety behavior. In terms of bottom-up effects, improvements in the average level of safety behavior within groups were associated with a subsequent reduction in accidents at the group level. The results contribute to an understanding of the factors influencing workplace safety and the levels and lags at which these effects operate.
Related Organisations
Queen Mary University Of London
Location: United Kingdom of Great Britain and Northern Ireland
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