60 resultados para Structural Equations Modeling

em Deakin Research Online - Australia


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This paper explores the question or whether Call Center Operators (CCO) share information or knowledge with their clients and if their knowledge sharing behavior has any impact on the sustainability of their relationships with their clients.

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A crucial prerequisite for sustainable e-learning is the understanding of learners’ preferences for various pedagogical strategies, technologies, and the management of learning resources. This paper presents an empirical study aiming to empirically test the theoretical (pedagogies, technologies and management) (PTM) model on the preference of learners and on the perceived impact of the effectiveness of e-learning. This study uses structural equation modelling (SEM) to identify the critical dimensions in the PTM model for augmenting the effectiveness of e-learning. This leads to the development of a PTM model with the path coefficients showing weak to strong relationships ranging from 0.15 to 0.42 with acceptable significance levels. The results support the hypothesis that management, technology, resources and metadata ontology dimensions affect the effectiveness of elearning both directly and indirectly through enhancing the management effectiveness of learning resources. However, the result does not support positive influence of pedagogical strategy per se on e-learning effectiveness. The implications of this study indicate the criticality of effective management of learning resources to enhance e-learning effectiveness.

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The job demands-resources (JD-R) model provides a well-validated account of how job resources and job demands influence work engagement, burnout, and their constituent dimensions. The present study aimed to extend previous research by including challenge demands not widely examined in the context of the JD-R. Furthermore, and extending self-determination theory, the research also aimed to investigate the potential mediating effects that employees' need satisfaction as regards their need for autonomy, need for belongingness, need for competence, and need for achievement, as components of a higher order needs construct, may have on the relationships between job demands and engagement. Structural equations modeling across two independent samples generally supported the proposed relationships. Further research opportunities, practical implications, and study limitations are discussed.

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The objective is to test the consistency of measurement and structural properties in a model of corporate codes of ethics (CCE) on an aggregated level and across multiple samples derived from three countries, namely Australia, Canada and the USA. The properties of four constructs of CCE are described and tested, these being: surveillance/training, internal communication, external communication, and guidance. The conclusion is that the measurement and structural models on an aggregated level have a satisfactory fit, validity and reliability. Furthermore, they are consistent when tested on each of the three samples (i.e. cross-validated). The cross-cultural model makes a contribution in addition to previous mostly descriptive studies and theory in the field using confirmatory factor analysis and structural equation modeling.

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Purpose – The purpose of this paper is to test the measurement and structural properties in a model of organizational codes of ethics (OCE) in Sweden.

Design/methodology/approach – The measurement and structural properties of four OCE constructs (i.e. surveillance/training, internal communication, external communication, and guidance) were described and tested in a dual sample based upon private and public sectors of Sweden.

Findings – Results show that the measurement and structural models of OCE in part have a satisfactory fit, validity, and reliability.

Research limitations/implications – The paper makes a contribution to theory as it outlines a set of OCE constructs and it presents an empirical test of and OCE model in respect to measurement and structural properties. A number of research limitations are provided.

Practical implications –
It provides a model to be considered in the implementation and monitoring of OCE. The present research provides opportunities for further research in refining, extending, and testing the proposed OCE model in other cultural and organizational settings.

Originality/value – The OCE model extends previous studies that have been predominately descriptive, by using confirmatory factor analysis and structural equation modeling.

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This paper develops a conceptual model of the relationship between different cultural values and how they influence consumer satisfaction in the tourism industry. It is hypothesized that cultural differences manifest themselves in different levels of importance being placed upon different aspects of service, and the differences between the levels of importance and the actual service received cause differences in the levels of satisfaction. These hypotheses are tested using 269 independent samples of levels of importance and 411 independent samples of satisfaction of tourists from four cultural groups (Australian, USA/Canadian, Japanese, Mandarin speakers) who visited Melbourne, Australia in the period May-September, 1996. The analysis develops dimensions of importance and satisfaction separately for each cultural grouping, and uses structural equation modeling (Amos 3.6) to develop the causal model measuring the way in which importance of service dimensions cause dimensions of satisfaction. Conclusions from the analysis show little evidence of a causal relationship between importance of service quality attributes and satisfaction. However, significant differences are found between cultures for different levels of satisfaction resulting indirectly from differences in the importance and actual levels of service received.

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The affective content of Subjective Wellbeing (SWB) was investigated in two separate studies. Study 1 involved a representative sample of 478 participants from across Australia aged between 18 and 72 years. This study tested the circumplex model of affect and then determined the minimum set of affects that explain variance in SWB. The model was supported, with most affects congregated around the valence axis. Overall, 64% of the variance in SWB was explained by six Core Affects, indicating that SWB is a highly affective construct. Study 2 tested the relative strength of Core Affect (content, happy and excited), in three separate models of SWB incorporating cognition (seven discrepancies)
and all five factors of personality. Using a sample of 854 participants aged been 18 – 86 years, structural equation modeling was used to compare an affective-cognitive driven model of SWB, with a personality driven model of SWB and a discrepancy driven model of SWB. The results provide support for an affective-cognitive model which explained 90 percent of the variance in SWB. All models confirm that the relationship between SWB, Core Affect and Discrepancies is far stronger than the relationship between personality and SWB. It is proposed that Core Affect and Discrepancies comprise the essence of SWB. Moreover, Core Affect is the driving force behind individual set-point levels in SWB homeostasis.

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Research findings support the idea that workload is a significant stressor associated with a variety of deleterious psychological reactions, including burnout, in several different samples of workers. A theoretical model is put forth in the present study in which workload is seen as contributing to distress and depression. Increasingly, organisations are experiencing changes as a result of extensive downsizing, restructuring, and merging. As a result of fiscal restraint, hospitals have been forced to merge, close, downsize, and restructure. Workloads have increased among hospital staff, particularly nurses. This study applies a theoretical model to the understanding of the impact of workload on nurses employed in hospitals experiencing downsizing, particularly on their distress, burnout, and depression. Respondents were 488 nurses who were employed in hospitals that were undergoing restructuring and in which units had already been closed as a result of restructuring. Results of structural equation modeling showed that the data partially fit the model and that workload contributed substantially to levels of depression through distress reactions. Further results showed that cynicism, anger, and emotional exhaustion significantly operationalised distress reactions. This study is unique theoretically in linking anger, cynicism, and emotional exhaustion in a single model that predicts distress levels from workload. The findings that anger, cynicism, and emotional exhaustion operationalised distress indicate the importance of studying patterns of negative reactions and their consequences for depression. Implications of the results are discussed for interventions that can be taken by organisations in order to reduce workloads.

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This paper explores the critical success factors of special events, in this case the Anzac Day commemorations at Gallipoli, Turkey. This event has become increasingly popular in recent years with crowd numbers growing to around 20,000 people traveling to attend the 2005 Dawn Service at historic Anzac Cove on Anzac day. The aim of this research is to investigate the success factors associated with Anzac Day commemorations at Gallipoli and to assess how these influence visitor satisfaction. Data was collected from 331 attendees of Anzac Day commemorations at Gallipoli while they were in transit from Gallipoli to Istanbul on 25 April 2007. The analysis of this data was undertaken using exploratory and confirmatory factor analysis as a basis to the development of a model of satisfaction using structural equation modeling. In this case constructs relating to amenities, transport, ceremonies and recommending behavior were found to be significant predictors of event satisfaction. These issues during the event were found to be of equal importance for both genders and all age groups.

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Objective: This paper describes the development and validation of the Health Education Impact Questionnaire (heiQ). The aim was to develop a user-friendly, relevant, and psychometrically sound instrument for the comprehensive evaluation of patient education programs, which can be applied across a broad range of chronic conditions.

Methods:
Item development for the heiQ was guided by a Program Logic Model, Concept Mapping, interviews with stakeholders and psychometric analyses. Construction (N = 591) and confirmatory (N = 598) samples were drawn from consumers of patient education programs and hospital outpatients. The properties of the heiQ were investigated using item response theory and structural equation modeling.

Results: Over 90 candidate items were generated, with 42 items selected for inclusion in the final scale. Eight independent dimensions were derived: Positive and Active Engagement in Life (five items, Cronbach's alpha (α) = 0.86); Health Directed Behavior (four items, α = 0.80); Skill and Technique Acquisition (five items, α = 0.81); Constructive Attitudes and Approaches (five items, α = 0.81); Self-Monitoring and Insight (seven items, α = 0.70); Health Service Navigation (five items, α = 0.82); Social Integration and Support (five items, α = 0.86); and Emotional Wellbeing (six items, α = 0.89).

Conclusion:
The heiQ has high construct validity and is a reliable measure of a broad range of patient education program benefits.

Practice Implications:
The heiQ will provide valuable information to clinicians, researchers, policymakers and other stakeholders about the value of patient education programs in chronic disease management.

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This study used the four factor model of organizational justice to investigate gender differences in the employee outcome cognitive variables of job satisfaction,commitment and turnover intentions. Survey respondents were 301 male and 147 female currently working employees in a variety of occupations. Structural equation modeling was used for the analyses. There were significant relationships from distributive justice to job satisfaction and commitment for both men and women. Informational justice significantly predicted job satisfaction. For women, informational justice predicted commitment and turnover intentions. Procedural justice predicted turnover intentions and interpersonal justice predicted commitment for men. Gender differences were found for procedural, interpersonal and informational justices. Men and women gave differing responses to justice perceptions, implying consideration of a range of views when allocation decisions are made and communicated. For both genders, distributive and informational justices play a central role in predicting employee outcomes, although the other justice types also have an effect for males. Justice had a diffuse effect for males, but not females.

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Studies of materialism have increased in recent years, and most of these studies examine various aspects of materialism including its individual or social consequences. However, understanding, and possibly shaping, a society’s materialistic tendencies requires a more complete study of the relationship between a society’s institutional patterns and the acceptance of materialism by its members. Consequently, the current study examines five of the institutional antecedents of materialism to understand better how and why it develops as a mode of consumption within a society. More specifically, a model relating materialism and a set of institutionalized patterns of social behavior referred to as the dominant social paradigm was developed and tested in a study of seven industrial, market-based countries. The results suggest that the economic, technological, political, anthropocentric, and competition institutions making up the dominant social paradigm are all positively related to materialism. The implications of the relationship are then discussed.

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This paper critically examines an analytical tool - partial least squares regression, or P LS - that is increasingly being used in the academic business literature to validate measures of psychological constructs, and to test hypotheses based on these. The paper provides a contextual and historical review of the resurgence of P LS, and explores several of the claims made by its developers and supporters when it was first promoted in the 1980s, and, more recently, when it reappeared in the information systems literature. Many claims appear plausible but rest on non-mainstream uses of terms and concepts taken from the psychometric field. The paper also canvasses why P LS is a poor analytical tool for research that involves psychological constructs.

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Cognitive theories of depression include maladaptive thinking styles as depressive vulnerabilities. The hopelessness theory of depression (Abramson, Metalsky, & Alloy, 1989) particularly implicates stable and global attributions for negative events as influences upon depression. Positive event attributions are considered less influential, yet they have shown equal predictiveness to negative event attributions for depression-specific mood. Previous research has provided equivocal results largely because of cross-sectional design and modest psychometric properties of the measures. The present research aimed to: create a new instrument to measure optimistic and pessimistic attributions; test the relatedness of attributions for positive and negative events; and, clarify relationships of the scales with optimism and mood. Three studies were undertaken, all of which used structural equation modeling. Two cross-sectional studies, using 342 and 332 community participants respectively, developed and validated the Questionnaire of Explanatory Style (QES). A final longitudinal study with 250 community participants tested the predictive validity of the QES. Overall, six scales were developed, three of which were optimistic and three of which were negative. The scales were acceptable to community samples and had adequate psychometric properties. The optimistic scales were attributions for positive events and the negative scales were attributions for negative events rather than pessimistic scales. Cross-sectional results indicated that only one of the negative scales weakly directly predicted depression-specific mood, but all predicted general psychological distress. By contrast, the optimistic scales were more directly predictive of depression-specific mood, particularly the Positive Disposition scale. Longitudinal results indicated that two of the optimistic scales were the most important QES predictors of depression-specific mood two months later. The optimistic scale Positive Disposition appears most central to the prediction of both concurrent and subsequent depression-specific mood. The scale content represents explanations for positive events that are internal and stable characteristics. These may be construed as personal competencies to bring about positive outcomes. This scale is closely allied to measures of optimism. Findings affirm the importance of optimistic attributions to the understanding of depression-specific mood and provide a productive focus for therapeutic intervention and future research.

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Dimensionality of the Colquitt justice measures was investigated across a wide range of service occupations. Structural equation modeling of data from 410 survey respondents found support for the 4-factor model of justice (procedural, distributive, interpersonal, and informational), although significant improvement of model fit was obtained by including a new latent variable, “procedural voice,” which taps employees’ desire to express their views and feelings and influence results. The model was confirmed in a second sample (N = 505) in the same organization six months later.