Model Pengukuran Faktor Iklim Keselamatan (Safety Climate) Konstruksi: Studi Kasus Proyek Jalan di Sumatera Barat

Nasril Sikumbang; Wahyudi P. Utama; Sesmiwati Sesmiwati; Dwifitra Y. Jumas

doi:10.5614/jts.2021.28.3.13

Model Pengukuran Faktor Iklim Keselamatan (Safety Climate) Konstruksi: Studi Kasus Proyek Jalan di Sumatera Barat

Jurnal Teknik Sipil ◽

10.5614/jts.2021.28.3.13 ◽

2022 ◽

Vol 28 (3) ◽

pp. 359-370

Author(s):

Nasril Sikumbang ◽

Wahyudi P. Utama ◽

Sesmiwati Sesmiwati ◽

Dwifitra Y. Jumas

Keyword(s):

Goodness Of Fit ◽

Safety Climate

Makalah ini bertujuan untuk mempresentasikan pengembangan model penilaian iklim keselamatan (PIK) untuk proyek jalan melalui studi kasus pada proyek konstruksi dan pemeliharaan jalan di Sumatera Barat (SB), Indonesia. Data diperoleh dari survei kuesioner yang dibagikan kepada para pemangku kepentingan di 11 lokasi proyek jalan yang tersebar di lima wilayah di provinsi SB. Empat puluh lima (45) aspek iklim keselamatan dinilai oleh 209 responden yang terdiri dari administrator proyek (perwakilan pemerintah), pihak manajemen kontraktor dan konsultan serta pekerja terdepan proyek. Hasil analisis faktor menunjukkan bahwa 12 variabel yang diamati meliputi tiga konstruk faktor: komitmen dan sumber daya manajemen, prosedur dan kesadaran serta persepsi tentang kemalangan. Faktor-faktor tersebut kemudian divalidasi melalui Analisis Faktor Konfirmatori menggunakan aplikasi Onyx. Hasil PIK menunjukkan bahwa nilai reliabilitas konstruk dan goodness of fit sesuai dengan yang diharapkan. Dengan memahami dan mengetahui variabel yang diamati dari IK yang membentuk faktor IK membantu tim manajemen proyek untuk merancang strategi yang tepat untuk menciptakan lingkungan proyek yang selamat.

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The relationship between safety attitude and safety performance in the petrochemical industry: The mediating role of safety climate

Work ◽

10.3233/wor-203353 ◽

2020 ◽

pp. 1-11

Author(s):

Sanaz Karimpour ◽

Fereshteh Jahani ◽

Gholam Abbas Shirali

Keyword(s):

Petrochemical Industry ◽

Goodness Of Fit ◽

Safety Climate ◽

Safety Performance ◽

Statistical Population ◽

Safety Attitudes ◽

Mediating Role ◽

Safety Attitude ◽

The Relationship

BACKGROUND: This study aimed to investigate the relationship between safety attitudes and safety performance considering the mediating role of safety climate in the petrochemical industry. METHOD: The statistical population of this study included all 1700 employees in the petrochemical industry of Iran, among whom 320 were randomly selected as the participants and completed the research questionnaire. Then, the validity (content, convergent, and divergent) and reliability (Cronbach’s alpha and composite reliability) of the instrument were examined, and the research hypotheses were tested using Smart partial least squares (PLS) software. RESULTS: The results showed that the model has goodness of fit and, thereby, the positive effect of safety attitude on safety performance was confirmed. In addition, the mediating role of safety climate in the relationship between safety attitude and safety performance was proved. That is, 39.6% of the total effect of safety attitude on safety performance was explained through the mediating role of safety climate. CONCLUSION: The findings of this study can improve safety culture and bring about excellent safety performance in petrochemical industries.

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How rationality predicts individual perception of safety climate: An application of the hybrid model of learning in personality

Psikohumaniora Jurnal Penelitian Psikologi ◽

10.21580/pjpp.v5i1.5274 ◽

2020 ◽

Vol 5 (1) ◽

pp. 45

Author(s):

Martina Dwi Mustika ◽

Chris J. Jackson

Keyword(s):

Hybrid Model ◽

Goodness Of Fit ◽

Safety Climate ◽

Learning Mechanisms ◽

Rational Thinking ◽

Underlying Process ◽

Perception Of Safety ◽

Individual Perception ◽

The Individual ◽

Workplace Outcomes

<p class="APANormalAbstract">Jackson’s (2008) Hybrid Model of Learning in Personality (HMLP) is designed to measure the effect of biological, socio-cognitive, and experiential processes of personality and learning mechanisms on developing rationality and directing functional or dysfunctional behaviors of employees. We use HMLP to determine if rational thinking predicts individual perception of safety climate. The results found that the proposed indirect paths of learning mechanisms significantly predict the individual perception of a safety climate through rationality. The goodness-of-fit demonstrated that the model provided a satisfactory fit: c2 = 13.200, p = 0.067; RMS = 0.000; RMSEA = 0.063; GFI = 0.981; AGFI = 0.943; and CFI = 0.988. As a result, we identify the importance of rationality in predicting individual safety climate and once again confirm the usefulness of HMLP in predicting useful workplace outcomes. The HMLP offers valuable insights into the influence of rationality in predicting individual perception of safety climate, as well as the underlying process of developing rationality.</p>

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A Model for Promoting Occupational Safety and Health in Taiwan’s Hospitals: An Integrative Approach

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16050882 ◽

2019 ◽

Vol 16 (5) ◽

pp. 882 ◽

Cited By ~ 1

Author(s):

Hui-Ting Huang ◽

Chung-Hung Tsai ◽

Chia-Fen Wang

Keyword(s):

Organizational Support ◽

Goodness Of Fit ◽

Safety Climate ◽

Equation Modeling ◽

Integrative Approach ◽

Future Research ◽

Preventive Action ◽

Public Attention ◽

Safety And Health ◽

Starting Point

Advocating for improving workplace safety and health has gained substantial support in recent years. The medical industry is a high-risk industry and receives considerable public attention. This study used an integrative approach as a starting point and combined the contextual factors of an organization: perceived organizational support, safety climate, social influence, and shared decision making. Subsequently, the effects of these factors on preventive action and safety satisfaction were investigated. This study surveyed employees of two hospitals, one in Northern Taiwan and one in Eastern Taiwan, collecting valid data from 468 respondents. Structural equation modeling (SEM) was used to verify our research framework. The finding indicates that (1) All hypotheses proposed in this study were supported. (2) The overall goodness of fit of the model was excellent, and the explained variance of the outcome variables was high. (3) Safety climate had the strongest total effects on preventive action and safety satisfaction simultaneously, whereas preventive action had the strongest direct effect on safety satisfaction. The objective of this study was to obtain empirical conclusions and make suggestions for academic theory and clinical practice. The findings may serve as a reference for future research and for scholars and practitioners, enabling the creation of healthy workplaces and, thus, a brighter future.

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Meaning of goodness-of-fit in dipole approximation of human brain activity

Electroencephalography and Clinical Neurophysiology ◽

10.1016/s0013-4694(97)88932-1 ◽

1997 ◽

Vol 103 (1) ◽

pp. 196

Author(s):

J Hara

Keyword(s):

Human Brain ◽

Goodness Of Fit ◽

Brain Activity ◽

Dipole Approximation

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Applying the Anderson-Darling Test to Suicide Clusters

Crisis ◽

10.1027/0227-5910/a000197 ◽

2013 ◽

Vol 34 (6) ◽

pp. 434-437 ◽

Cited By ~ 5

Author(s):

Donald W. MacKenzie

Keyword(s):

Poisson Process ◽

Goodness Of Fit ◽

Small Samples ◽

Massachusetts Institute Of Technology ◽

Homogeneous Poisson Process ◽

Cornell University ◽

The Difference ◽

Suicide Clusters ◽

Institute Of Technology ◽

Anderson Darling

Background: Suicide clusters at Cornell University and the Massachusetts Institute of Technology (MIT) prompted popular and expert speculation of suicide contagion. However, some clustering is to be expected in any random process. Aim: This work tested whether suicide clusters at these two universities differed significantly from those expected under a homogeneous Poisson process, in which suicides occur randomly and independently of one another. Method: Suicide dates were collected for MIT and Cornell for 1990–2012. The Anderson-Darling statistic was used to test the goodness-of-fit of the intervals between suicides to distribution expected under the Poisson process. Results: Suicides at MIT were consistent with the homogeneous Poisson process, while those at Cornell showed clustering inconsistent with such a process (p = .05). Conclusions: The Anderson-Darling test provides a statistically powerful means to identify suicide clustering in small samples. Practitioners can use this method to test for clustering in relevant communities. The difference in clustering behavior between the two institutions suggests that more institutions should be studied to determine the prevalence of suicide clustering in universities and its causes.

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Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

European Journal of Psychological Assessment ◽

10.1027/1015-5759.25.4.239 ◽

2009 ◽

Vol 25 (4) ◽

pp. 239-243

Author(s):

Roberto Nuevo ◽

Andrés Losada ◽

María Márquez-González ◽

Cecilia Peñacoba

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Factor Structure ◽

Goodness Of Fit ◽

Factorial Validity ◽

Fit Indices ◽

Short Forms ◽

Confirmatory Factor ◽

Positive Correlations ◽

Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

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