scholarly journals Uwarunkowania skłonności do palenia papierosów. Wyniki modelowania równań strukturalnych

2017 ◽  
pp. 49-69
Author(s):  
Krzysztof Czaderny

According to the age-period-cohort projection of lung cancer incidence (ICD-10 codes C33-C34), smoking prevention will be crucial for both men and women longevity. Lung cancer remains the main cancer cause of death among males in Poland. In 2014 the number of deaths in Poland caused by lung cancer among men was more than twice as high as for women. The study is focused on identification of attitudes influencing the propensity to smoke, which is performed by structural equation modelling (SEM) based on weighted least squares means and variance adjusted (WLSMV) estimation. Good fit of the presented models is demonstrated by RMSEA, NNFI and CFI values. Reliability of scales is assessed by ordinal alpha and ordinal theta coefficients. Commitment to learning in childhood exhibits the highest standardized effect on propensity to smoke, which is an argument for youth smoking prevention. Structural equation model was estimated for men and women separately because of gender differences in smoking determinants. A strong character, individualism and self-reliance are the factors, which increase smoking propensity among males. These can be treated as features of masculinity and are not statistically important determinants of being a smoker for females. Depressive disorders, being a victim of violence as adults are statistically significant determinants of smoking among women.

2017 ◽  
Vol 13 (2) ◽  
pp. 154-165
Author(s):  
Septian Bayu Kristanto ◽  
Carlin Windyan

The purpose of this study wants to examine the effect of System Quality (SysQua) to Service Quality (ServQua), System Quality (SysQua) to Work Performance (WorkPef), and Service Quality (ServQua) to Work Performance (WorkPef). The object in this research is MYOB accounting software. The data gathers with quesionnaires in 2 types, physicals (paper) and online (using Google form).  From 315 questionnaires distributed consisted of 194 respondents through online, and 116 respondents through paper form. All the questionnaires are returned. The obtained data were analyzed using structural equation modelling. The result of data analysis showed that the System Quality (SysQua) have positive significant effect on the Service Quality (ServQua), Service Quality (ServQua) have positive significant effect on Work Performance (WorkPef), and System Quality (SysQua) have positive significant effect on Work Performance (WorkPef). The overall result indicates that MYOB have a good quality and related to user performance. Specifically, the user refers to basic user, which is university student.   Tujuan penelitian ini adalah untuk menguji pengaruh hubungan System Quality (SysQua) terhadap Service Quality (ServQua), System Quality (SysQua) terhadap Work Performance (WorkPef) dan Service Quality (ServQua) terhadap Work Performance (WorkPef). Objek pada penelitian ini yaitu software akuntansi MYOB. Teknik pengumpulan data menggunakan metode purposive sampling. Perolehan data dengan kuesioner terdiri dari 2 tipe yaitu fisik (kertas) dan online (menggunakan Google form). Dari 315 kuesioner yang tersebar terdiri dari 194 responden melalui online dan 116 responden melalui kertas. Semua kuesioner telah kembali. Pengelolahan data menggunakan Structural Equation Model. Hasil dari penelitian ini menunjukkan bahwa System Quality (SysQua) berpengaruh positif signifikan terhadap Service Quality (ServQua), Service Quality (ServQua) berpengaruh positif signifikan terhadap Work Performance (WorkPef), dan System Quality (SysQua) berpengaruh positif signifikan terhadap Work Performance (WorkPef). Hasil keseluruhan menunjukkan bahwa MYOB memiliki kualitas yang baik dan terkait dengan kinerja pengguna. Secara khusus, pengguna mengacu kepada pengguna tingkat dasar, yang merupakan mahasiswa.


2021 ◽  
pp. 117-178
Author(s):  
Todor Krastevich ◽  
Atanaska Reshetkova

This chapter is dedicated to the structural equation modelling methods applied to solve sustainable development research problems. A structural equation model is an abstraction of reality, and the researcher’s job is to build a model that approximates that reality as closely as possible. This task can be difficult if we do not have a clear understanding of what the reality of the studied phenomena is. Sometimes there is a sound theory behind the studied phenomena, and we can use variables that other researchers have already pointed out as valid indicators. In other situations, we have to start with a set of variables and test many hypothetical relationships based only on theoretical work. In this chapter, we focus on providing researchers with the knowledge needed to specify, evaluate, and interpret structural equation models (SEMs) in any field of social sciences, but most and foremost—in research related to the concept of sustainable development.


2017 ◽  
Author(s):  
Nicole M Warrington ◽  
Rachel Freathy ◽  
Michael C. Neale ◽  
David M Evans

AbstractBackgroundTo date, 60 genetic variants have been robustly associated with birthweight. It is unclear whether these associations represent the effect of an individual’s own genotype on their birthweight, their mother’s genotype, or both.MethodsWe demonstrate how structural equation modelling (SEM) can be used to estimate both maternal and foetal effects when phenotype information is present for individuals in two generations and genotype information is available on the older individual. We conduct an extensive simulation study to assess the bias, power and type 1 error rates of the SEM and also apply the SEM to birthweight data in the UK Biobank study.ResultsUnlike simple regression models, our approach is unbiased when there is both a maternal and foetal effect. The method can be used when either the individual’s own phenotype or the phenotype of their offspring is not available, and allows the inclusion of summary statistics from additional cohorts where raw data cannot be shared. We show that the type 1 error rate of the method is appropriate, there is substantial statistical power to detect a genetic variant that has a moderate effect on the phenotype, and reasonable power to detect whether it is a foetal and/or maternal effect. We also identify a subset of birth weight associated SNPs that have opposing maternal and foetal effects in the UK Biobank.ConclusionsOur results show that SEM can be used to estimate parameters that would be difficult to quantify using simple statistical methods alone.Key MessagesWe describe a structural equation model to estimate both maternal and foetal effects when phenotype information is present for individuals in two generations and genotype information is available on the older individual.Using simulation, we show that our approach is unbiased when there is both a maternal and foetal effect, unlike simple linear regression models. Additionally, we illustrate that the structural equation model is largely robust to measurement error and missing data for either the individual’s own phenotype or the phenotype of their offspring.We describe how the flexibility of the structural equation modelling framework will allow the inclusion of summary statistics from studies that are unable to share raw data.Using the structural equation model to estimate the maternal and foetal effects of known birthweight associated loci in the UK Biobank, we identify three loci that have primary effects through the maternal genome and six loci that have opposite effects in the maternal and foetal genomes.


2020 ◽  
Vol 4 (2) ◽  
pp. 103 ◽  
Author(s):  
Bita Dwi Rahmani ◽  
Fitri Alyani

The purpose of this paper is to investigate what factors influenced on Teacher competencies Test (Uji Kompetensi Guru/UKG) of Indonesian ESL Senior High School teacher’s in West Java Indonesia. The data used in this study were derived from a teacher competencies test, and a questionnaire survey conducted among teachers who attended National Gathering of Senior High School English Teachers 2017 in Bandung, West Java. A total of 61 usable responses were received. The analysis was using Structural Equation Model (SEM) to see the correlations among variables also identify which predictors influenced most on Teacher Competencies Test. The result revealed that teacher competencies test was mostly influenced by education background (β =.27, p=0.028). It can be concluded that to increase the teacher’s competencies can be done by giving a chance to teachers to continue their study.


Author(s):  
Rini Sulistiawati ◽  
Novira Kusrini ◽  
Imelda _

Integration of palm oil plantation with cattle can provide advantages in both sub sectors which will increase the income and welfare of farmers. The implementation of the integration palm cattle must be supported by appropriate management practices so that the resulting production can be more efficient, competitive and sustainable. The population in this research is all farmers which have already implemented palm cattle integration. The samples of these researches are 150 respondents. This research using Structural Equation Model (SEM) that is multivariate statistic procedure using AMOS software. The results showed that the increase in prosperity of palm cattle integration farmers can be done with increased self-reliance of farmers through the management and coaching in the sustainable integration of palm cattle. Palm cattle integration farmers will have a competitiveness if it is able to utilize the resources extension workers, share knowledge and take advantage of training opportunities. Farmers also need to be able to make decisions, develop a plan for managing the integration of the palm cattle and managed to create a quality production.


2016 ◽  
Vol 11 (1) ◽  
pp. 269-287 ◽  
Author(s):  
Sushanta Tripathy ◽  
Satyabrata Aich ◽  
Anurup Chakraborty ◽  
Gyu M. Lee

Purpose – The purpose of this paper is to identify the success factors for supply chain in Indian small- and medium-scale enterprises (SMEs) and establish a causal relationship among them. In the present scenario, the SMEs are under huge pressure to achieve the supply chain competitive advantage and to improve operation and logistic effectiveness and, at the same time, remain tractable to the demand uncertainty and volatility in the market. To enhance the performance of supply chain in SMEs, the managers need to identify the internal as well as the external factors that affect the supply chain performance of SMEs in India. They need to understand the causal relationship of these factors. Design/methodology/approach – There may be a number of factors that are critical for achieving acceptable supply chain performance, and these factors have been identified by principal component analysis (PCA). In all, 29 factors have been identified by using PCA and the dominating 29 factors are categorized into 6 constructs, and finally, the structural equation modelling (SEM) methodology using the AMOS 4.0 program has been adopted as the primary methodology for this paper to assess the causal relationship among six constructs. Findings – In this paper, the authors analyzed the structural relations among information technology (IT), logistic effectiveness, operational effectiveness, customer relationship, supplier relationship and SCM competitive advantage. Results indicate that IT holds the key to achieve the SCM competitive advantage in SCM practices of SMEs in India. Research limitations/implications – The proposed models for enabling factors are tested in firms with a limited numbers of factors in highly competitive environment. More factors may be incorporated, which will help for a clear understanding and establishing the causal relationship among the various enabling factors. Practical implications – Although managers of Indian SMEs are aware of various enabling factors, a systematic approach is required for identifying enabling factors, and as these factors may have complex interrelation between them for analyzing supply chain performance in SMEs, it is essential that such an approach is in place. The paper presented here will help the SMEs managers in identifying the areas in which they need to focus their attention to improve SCM practices. A structural equation modelling is developed to show the complex relationship between the factors that affect the performance. In addition to that, the proposed structural equation model acts as a good guideline to improve the performance of the supply chain in India. Originality/value – The paper provides a structural equation model to develop a map of the causal relationships and magnitude among identified enabling factors.


2020 ◽  
pp. 088626052096597
Author(s):  
Alyssa Banford Witting ◽  
Dean M. Busby

Childhood exposure to physical violence and sexual abuse is a public health concern and is empirically connected to poor outcomes in adulthood. The present study was designed to assess dyadic associations between exposure to childhood physical violence and sexual abuse, and resolution, or a sense that one has “come to terms” with events in one’s family of origin. The study was also aimed at assessing whether attachment behaviors mediated associations between abuse, violence, and resolution. The study was carried out using data from a community sample of 3,836 heterosexual couples who completed the Relationship Evaluation Questionnaire inventory. Actor–Partner Interdependence Modeling was employed within a structural equation model to examine associations. Results suggested inverse, direct actor associations for both men and women between physical violence and sexual abuse, and coming to terms. The results also showed inverse, direct partner associations for both men and women between sexual abuse and coming to terms. Furthermore, findings indicated the presence of inverse, indirect actor and partner effects for men and women between physical violence and coming to terms. Examination of these specific indirect partner and actor effects from physical violence to coming to terms implies partial mediation carried through one’s own rating of attachment behaviors. Finally, actor (but not partner) associations were noted between attachment behaviors and coming to terms. In aggregate, the findings support the potential benefit of enhancing investment in attachment behaviors as a resource to aid in the resolution process of exposure to physical violence and sexual abuse in childhood.


Organizacija ◽  
2014 ◽  
Vol 47 (3) ◽  
pp. 199-209 ◽  
Author(s):  
Mitja Jeraj

AbstractBackground: Entrepreneurship and entrepreneurs become more and more interesting fields for a scientific research. This paper addresses the relationship between optimism, pre-entrepreneurial curiosity and entrepreneurial curiosity as three determinants of entrepreneurial psychology. Literature review showed optimism is important for entrepreneurs and influence them mostly in a positive way. Although entrepreneurial curiosity is important determinant for entrepreneurs and it was connected with entrepreneurial self-efficacy, openness, and company's growth the connection with optimism remained unexplored until this research.Methods: A multi-country empirical validation was conducted on a sample of entrepreneurs from Slovenia and USA. A structural equation modelling, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to develop a model, which complement theoretical predisposition and fit the data.Results: The results of the study show that higher levels of optimism lead to higher levels of pre-entrepreneurial curiosity and higher levels of pre-entrepreneurial curiosity lead to higher levels of entrepreneurial curiosity.Conclusions: The contribution of this study is manifold. From the theoretical view, a literature gap on the field of optimism and entrepreneurial curiosity combined is fulfilled and a structural equation model with optimism and entrepreneurial curiosity was established. Since openness, pre-entrepreneurial curiosity and entrepreneurial curiosity are related policy makers can test individuals according to their level of researched determinants and motivate more entrepreneurial perspective ones to become active in the entrepreneurship process. Thus, entrepreneurs can use these results to recruit more entrepreneurial oriented employees.


10.29007/d4lr ◽  
2018 ◽  
Author(s):  
Sajani Jayasuriya ◽  
Guomin Zhang ◽  
Rebecca Yang

Public Private Partnerships (PPPs) have become an increasingly popular choice for the delivery of infrastructure facilities in the recent years. With the involvement of multiple numbers of stakeholders in a PPP project, stakeholder management (SM) plays a decisive role in project success. However, many issues in the recent PPP projects in Australia as well as around the world can be directly or indirectly related to the SM concerns of a project. The correct selection of SM strategies and a proper framework will help to solve most of the current SM related issues in PPP projects. In an attempt to understand these preemptive SM strategies and their links to SM management related issues in PPP projects, a hierarchical structural model was established. Subsequently, by employing the structural equation modelling technique, the model adapts a total of 34 SM strategies and 12 SM related issues. Based on the survey data collected across the industry experts who have exposure to a various number of PPP projects in Australia the results of the model confirmed that the stakeholder engagement is a key to minimize the SM related issues in the PPP projects. Further, interestingly stakeholder monitoring and SM related issues has a positive significant relationship suggesting that more the stakeholder monitoring might lead to more issues. Finally, the relationships between the main tasks of SM were confirmed via the model. With a clear understanding of the significance of these SM strategies in PPP projects the findings could potentially contribute to the PPP project success.


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