scholarly journals Relationship between procrastination as one of the personality traits and disaster preparedness in Tehran, Iran

2021 ◽  
pp. 312-315

Introduction: Disaster preparedness is one of the most important components of reducing vulnerability, which is poorly considered in Tehran, Iran. Several factors and personality traits are involved in this negligence. This study aimed to investigate the procrastination trait and its relationship with disaster preparedness levels in Tehran, Iran. Method: This descriptive-correlational study was conducted between 2018 and 2021 using structural equation modeling. The statistical population of this study was citizens in Tehran, Iran. A sample size of 419 cases was included in this study. Standard tests have also been utilized to investigate the variables. Findings: Based on the obtained results, according to the coefficients reported in the model, it can be observed that procrastination has no significant effect on disaster preparedness Conclusion: Procrastination and experiences gained affect people's preparedness for disaster. According to the results, the preparedness of the people of Tehran for accidents is very low

Author(s):  
Roya Sadat Alavi Pour ◽  

This study aims to investigate the role of innovation in the tourist attitude and improve the performance of the destination. In this regard, while reviewing the concepts of innovation, tourist attitude, and destination performance, using the structural equation modeling method, we examined the effect of innovation on tourist attitude and promotion of destination performance. The statistical population of this study includes tourists from historical places in Tehran, whose number is unlimited. The sample size was determined using the Krejcie-Morgan 384 sample size determination table, which was selected using simple random sampling. In order to collect data in this research, a questionnaire was used, the validity of which was confirmed as content validity by experts, and the validity of construction and structure by confirmatory factor analysis in Smart-pls software and its reliability using Cronbach's alpha coefficient, approved by a factor of 0.954. In order to analyze the data in this study, the Chlomogroff-Smirnov test was used for regular testing, and structural equation modeling was used to test the hypotheses. The results showed that innovation in services and marketing has a significant impact on tourist attitudes, marketing promotion, and destination performance. The results also show that the mediating role of marketing promotion on the impact of innovation on destination performance has not been confirmed.


2020 ◽  
Author(s):  
Seema Chandani ◽  
Dr. afaq kazi ahmed

<p><b>Research Paradigm:</b> The approach for this study is based on positivism theory with an intention to obtain evidence through focused observations and identify its likeliness with the actual data collected so that it can be generalized with the findings of other scholars who have worked on the topic (Remenyi et al., 1998). As elaborated by (Gill & Johnson, 2002), the crux of positivism philosophy revolves around the relationship of cause and its effect generated by different constructs, and the best possible exploration of these variables.</p><p><b>Research Design:</b> Primary data would be collected through a structured close-ended questionnaire which use to gather the responses from the stakeholders including teachers, coordinators, and school management and human resource personnel in the private schools. Therefore, the research questionnaire adapted from Dogan (2009) and Asiyai (2016) as a research instrument.</p> <p><b>Sample Size and Sampling technique:</b> The target population for this research study consists of different stakeholders for instance: teachers, coordinators, and school management and HR personnel working in private schools of Karachi -Pakistan. Non-probability purposive sampling is being used for this study. The sample size of 400 different stakeholders from private schools would be adequate to figure out the results (Loehlin, 2004). Since the actual size of the population is not exactly known and neither accessible to conduct random sampling, therefore non probability purposive sampling is chosen. Since the sample consists of different stakeholders for instance: teachers, coordinators, and school management and HR personnel working in private schools of Karachi -Pakistan. Therefore, it is a purposive sampling.</p><p><b>Data Collection Tool:</b> In this study we used the quantitative research to measure the perceived effectiveness of in-service training in improving teacher’s performance with one independent variables: in-service training (Training need assessment and training methodology), one dependent variables teachers performance (Task performance and contextual performance), 03 mediators (professional skills, knowledge enhancement and work engagement) and one moderator (reward). Questionnaire has distributed in the several schools by hand or through email.</p><p><b>Statistical Technique:</b> Since the model consists of multiple variables with mediation and moderation model, therefore the Structural Equation Modeling (SEM) is used. The interface terms integrated with the model is measured for statistical significance via bootstrapping method. The structural equation modeling has executed by the partial least square approach.</p><p></p>


2020 ◽  
Vol 15 ◽  
pp. 102-107
Author(s):  
Hunuwala Malawarage Suranjan Priyanath ◽  
Ranatunga RVSPK ◽  
Megama RGN

Basic methods and techniques involved in the determination of minimum sample size at the use of Structural Equation Modeling (SEM) in a research project, is one of the crucial problems faced by researchers since there were some controversy among scholars regarding methods and rule-of-thumbs involved in the determination of minimum sample size when applying Structural Equation Modeling (SEM). Therefore, this paper attempts to make a review of the methods and rule-of-thumbs involved in the determination of sample size at the use of SEM in order to identify more suitable methods. The paper collected research articles related to the sample size determination for SEM and review the methods and rules-of-thumb employed by different scholars. The study found that a large number of methods and rules-of-thumb have been employed by different scholars. The paper evaluated the surface mechanism and rules-of-thumb of more than twelve previous methods that contained their own advantages and limitations. Finally, the study identified two methods that are more suitable in methodologically and technically which have identified by non-robust scholars who deeply addressed all the aspects of the techniques in the determination of minimum sample size for SEM analysis and thus, the prepare recommends these two methods to rectify the issue of the determination of minimum sample size when using SEM in a research project.


2020 ◽  
Vol 21 (2) ◽  
pp. 144-155
Author(s):  
Nuryanti Taufik ◽  
Faizal Haris Eko Prabowo ◽  
Allicia Deana Santosa ◽  
Andina Eka Mandasari

This study aims to determine how the effect of e-commerce adoption on SMEs towards consumer experience in shopping online and its impact on repurchases. This research is a quantitative study with a survey method. The analytical tool used is Structural Equation Modeling. The sample size in this study is 205 respondents who have made transactions on the fashion SME e-commerce websites. The results showed that the better the adoption of e-commerce carried out by SMEs fashion, the better it is in providing a good experience for consumers, which ultimately made consumers repurchase on the website. This study provides new measurements of consumer responses in the form of experience after using SME e-commerce websites.


2019 ◽  
Vol 45 (1) ◽  
Author(s):  
Reyhaneh Rafizadeh ◽  
Zahra Heidari ◽  
Mahmood Karimy ◽  
Fereshteh Zamani-Alavijeh ◽  
Marzieh Araban

Abstract Background Breastfeeding is one of the most sensitive stages in the development of children, having many benefits for the mother and the child. The present study aimed to determine factors associated with breastfeeding intention and behavior in mothers living in Taft County, Iran. Methods In this cross-sectional design, the statistical population consisted of 420 mothers with infants under 1 year of age living in Taft County of Yazd province, Iran. The research data were collected from health records of infants under one in health centers of the county as well as a researcher-made questionnaire including demographic information, knowledge and attitude towards breastfeeding, social support and perceived self-efficacy, and breastfeeding intention and behavior. Structural Equation Modeling (SEM) based on AMOS 18 were employed to analyze the relationship between research variables. Results The mean age of mothers was 28.04 ± 6.49 year and the children were 10 ± 6 months. Half of the mothers (50.3%) had cesarean sections and more than half (55.8%) of the children were males. Mothers’ attitude (β = 0.442; 95% CI: 0.284, 0.599), self-efficacy (β = 0.186; 95% CI: 0.047, 0.324) and perceived social support (β = 0.178; 95% CI: 0.035, 0.322) were respectively the strongest predictors of breastfeeding intention. Besides, the breastfeeding intention affected breastfeeding behavior with a high coefficient (0.857; 95% CI: 0.735, 0.979). Conclusions The study provided informative pathways on the association of maternal attitude, social support and self-efficacy with breast feeding behavior. These findings could be useful for designing health education and promotion programs about breast feeding among women.


2014 ◽  
Vol 34 ◽  
pp. 102-122 ◽  
Author(s):  
Paula Winke

In this chapter, I review a statistical method for hypothesis or theory testing calledstructural equation modeling(SEM). First, I describe what a model of second language acquisition (SLA) is. I do this so anyone, even those new to the field of applied linguistics, can understand the basic concepts underlying SEM; that is, SEM researchers first articulate a model of SLA, then get empirical data from the real world that operationalize the variables in the model. Researchers use an SEM program to test the model on the data (to see if the model fits the data; if the model is plausible in relation to the learning context of the people from whom the data were collected). After explaining the basics of SEM, I provide a review of 39 applied linguistics studies that have been published in the last five years (between 2008 and 2013) and that present at least one SEM analysis as part of the results. I discuss four problematic areas related to the use of SEM that I believe these 39 studies highlighted: (a) sample size, (b) model presentation, (c) reliability, and (d) the number of Likert-scale points. I conclude with possible solutions for the four problem areas and outline future directions.


Sign in / Sign up

Export Citation Format

Share Document