Teacher quality of work life: Integrating work experiences, psychological distress and morale

Hart, Peter M.

doi:10.1111/j.2044-8325.1994.tb00555.x

Cited by 122 publications

(118 citation statements)

References 25 publications

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“…TLI, RMR and RMSEA are also within the limits as suggested by Hair et al [113], Katos, A.V. [132], Hart, P.M. [133], Hu and Bentler [134], Fan et al [135], Bentler and Bonett [130], James B. Schreiber et al [136]. It can be concluded that these values meets the requirement of acceptable model.…”

Section: Evolution Of Model Using Semsupporting

confidence: 71%

Evolving base for the fuel consumption optimization in Indian air transport: application of structural equation modeling

Singh¹,

Sharma

2014

Eur. Transp. Res. Rev.

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Introduction The article aims to evolve the base for fuel consumption optimization (FCO) in Indian air transport industry. The objective of this paper is to design the methodology and to develop five facet model of fuel consumption optimization (FCO). Limited researches have been conducted to explore influencing factors for FCO in air transport industry. To fill this gap, this study proposes the model of FCO, and investigates key factors affecting FCO. Methodology The research steps included exploratory factor analysis, confirmatory factor analysis, and testing of structural model. In the first stage exploratory factor analysis (EFA) was used to provide the grouping of variables underline the complete set of item based upon the strong correlation. In the second stage, a confirmatory factor analysis (CFA) was used to specify and estimate of one or more hypothetical models of factor structure, each of which propose a set of latent variables to account for covariance within a set of observed variables. In the third stage, we used the Structural Equation Modeling (SEM) technique and empirically tested the relationships between fuel consumption optimization and aircraft operations Conclusions and future work This study has provided empirical justification for the proposed research framework which describes the relationships between FCO and its dimensions. This has developed an integrated model of FCO, with the purposes of identifying the key factors affecting the FCO. The knowledge of relationship among variables can lead to frame objective function, constraints, and set of equations pertaining situations with regard to Indian scenario. To constitute the equations the data of identified critical factors with regard to Indian scenario can be utilized which will lead to develop optimization based model for fuel consumption that leaves the scope for further study. This study produces the results which represent the base for optimum solution of fuel consumption on which future researchers can target.

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Section: Evolution Of Model Using Semsupporting

confidence: 71%

Evolving base for the fuel consumption optimization in Indian air transport: application of structural equation modeling

Singh¹,

Sharma

2014

Eur. Transp. Res. Rev.

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“…These indexes should not go lower than 0.90, but in complex models the lowest acceptable level for the NFI and CFI is 0.80 (Hart, 1994).…”

Section: Aa Katoumentioning

confidence: 92%

Measuring the impact of HRM on organizational performance

Katou

2008

JIEM

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Abstract:The purpose of this paper is to measure the impact of HRM on organisational performance in the context of Greece. Data were collected from 178 organisations using a questionnaire survey in the Greek manufacturing sector, and analysed using the 'structural equation modelling' methodology. The results indicated that the relationship between HRM policies (resourcing and development, compensation and incentives, involvement and job design) and organisational performance is partially mediated through HRM outcomes (skills, attitudes, behaviour), and it is influenced by business strategies (cost, quality, innovation). Thus, the contribution of this study for academics and practitioners is that HRM policies associated with business strategies will affect organisational performance through HRM outcomes.

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“…Others such as Pelsma et al [15] and Hart [16] found that psychological distress and morale contributed equally to teachers' QWL. They determined that in the work climate of an occupation, QWL can be assessed by combining the amount and the degree of stress and the degree of satisfaction experienced by the individual within his/her occupational role.…”

Section: Past Research On Qwlmentioning

confidence: 98%

Quality Of Work Life: Implications Of Career Dimensions

Rose¹,

Beh²,

Uli³

et al. 2006

J. of Social Sciences

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Literature on QWL is limited and several studies commonly correlates with job satisfaction but no study on QWL has associated with career related factors. This empirical study was done to predict QWL in relation to career-related dimensions. The sample consists of 475 managers from the free trade zones in Malaysia for both the multinational corporations (MNCs) and the small-medium industries (SMIs). The result indicates that three exogenous variables are significant: career satisfaction, career achievement and career balance, with 63% of the variance in QWL.

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Teacher quality of work life: Integrating work experiences, psychological distress and morale

Cited by 122 publications

References 25 publications

Evolving base for the fuel consumption optimization in Indian air transport: application of structural equation modeling

Evolving base for the fuel consumption optimization in Indian air transport: application of structural equation modeling

Measuring the impact of HRM on organizational performance

Quality Of Work Life: Implications Of Career Dimensions

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