Measuring users’ satisfaction of the road network using structural equation modeling

2021 ◽  
pp. 1-12
Author(s):  
Khaled Shaaban ◽  
Kiran Shakeel ◽  
Taha Hossein Rashidi ◽  
Inhi Kim
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Road Network ◽  
Equation Modeling ◽  
The Road

scholarly journals Road Network Connectivity and Freight Transportation for Supporting the Development of the Northern Zone of Aceh

2019 ◽  
Vol 54 (3) ◽  
Author(s):  
Herman Fithra ◽  
Sirojuzilam Hasyim ◽  
Sofyan M. Saleh ◽  
Jumadil Saputra
Keyword(s):  
Structural Equation ◽  
Road Network ◽  
Transportation Network ◽  
Network Connectivity ◽  
Network Models ◽  
Freight Transportation ◽  
Equation Modeling ◽  
The Road ◽  
Northern Zone ◽  
The Government

Road network connectivity significantly affects merchandise, transport, and people’s lives. Freight transportation network models are utilized as frameworks of transport policy decisions to estimate the impacts of infrastructure projects on traffic. The goods supply delivery modes in Aceh, Indonesia, are dominated by road-based transportation, where up to 95% of daily needs, such as food, are carried using trucks, buses, and other vehicles. This condition emerged owing to a lack of infrastructure and facilities. Thus, the main purpose of this study is to analyze the effect of road network connectivity on goods delivery in the northern zone of Aceh. This research adopted a quantitative technique (survey questionnaire) and involved as many as 420 respondents. The data were analyzed using structural equation modeling (SEM) with Analysis of Moment Structures. The result of the study shows the value of regressions weight is 0.375 or 37.5%. It indicates the road network connectivity variable has a significant relationship with the transport of goods. Furthermore, the road network connectivity of the area has the strongest link or significantly influences the activities of regional development. Therefore, the government in the northern zone of Aceh can formulate road network policies oriented towards the development of the area’s new economy and support the implementation of the Arun Lhokseumawe Special Economic Zone, which is the business area and trade laws are different from the rest of the country.

scholarly journals PENGARUH BOREDOM PRONENESS DAN LOCUS OF CONTROL TERHADAP KECEPATAN SAAT MENGEMUDI DI JABODETABEK

2021 ◽  
Vol 4 (2) ◽  
pp. 397
Author(s):  
Gavriel Ganesia Prajitna ◽  
Leksmono Suryo Putranto
Keyword(s):  
Structural Equation Modeling ◽  
Locus Of Control ◽  
Structural Equation ◽  
Good Control ◽  
Equation Modeling ◽  
Vehicle Speed ◽  
High Concentration ◽  
The Road ◽  
Boredom Proneness ◽  
On The Road

Driving is an activity that contains a high risk such as loss, damage, loss, accidents and even death, so the drivers requires full attention with very high concentration. One of the causes of accidents experienced by some drivers is the result of several internal factors from the driver, one of the factors is boredom proneness. To be able to control all factors while driving, of course, good control skills are needed for the driver. One of the constructs that is able to explain this is the locus of control. In terms of driving on the road, drivers must also pay attention to personal safety by paying attention to vehicle speed. This research was conducted to determine the effect of locus control on boredom prone, boredom prone to speed, and control locus on speed. Data for research were obtained through online questionnaires. This research will be the method of Structural Equation Modeling (SEM). From the research results, it was found that the boredom proneness greatly affects a person's choice of speed. Meanwhile, the locus of control is a factor that slightly affects a person's speed selection. In addition, the locus of control is sufficient to affect a person's boredom proneness nature ABSTRAKMengemudi merupakan kegiatan yang mengandung resiko tinggi seperti kerugian, kerusakan, kehilangan, kecelakaan bahkan kematian, dengan demikian pengemudi membutuhkan perhatian penuh dengan konsentrasi sangat tinggi. Salah satu penyebab kecelakaan yang dialami beberapa pengemudi adalah akibat beberapa faktor internal dari pengemudi tersebut, salah satu faktor nya adalah rawan bosan. Untuk dapat mengontrol semua faktor ketika mengemudi, tentu dibutuhkan kemampuan kontrol yang baik pada pengemudi. Salah satu konstruk yang mampu menjelaskan hal tersebut yaitu lokus kendali. Dalam hal mengemudi di jalan, pengemudi juga harus memperhatikan keselamatan diri dengan memperhatikan kecepatan kendaraan. Penelitian ini dilakukan untuk mengetahui pengaruh lokus kendali terhadap rawan bosan, rawan bosan terhadap kecepatan, dan lokus kendali terhadap kecepatan. Data untuk penelitian didapatkan melalui kuesioner secara online. Penelitian ini akan Metode Structural Equation Modeling (SEM). Dari hasil penelitian didapatkan bahwa rawan bosan sangat mempengaruhi pilihan kecepatan seseorang. Sedangkan lokus kendali merupakan faktor yang sedikit mempengaruhi  pemilihan kecepatan seseorang. Selain itu lokus kendali cukup mempengaruhi sifat rawan bosan seseorang.

Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue
Keyword(s):  
Structural Equation Modeling ◽  
Negative Correlation ◽  
Structural Equation ◽  
Error Score ◽  
Classical Test Theory ◽  
Test Theory ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

The Measurement Invariance of the Short Dark Triad

2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu
Keyword(s):  
Structural Equation Modeling ◽  
Item Response ◽  
Structural Equation ◽  
Dark Triad ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Scale Level ◽  
High Stake ◽  
Differential Functioning ◽  
Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

Further Insights Into the German Version of the Multidimensional Assessment of Interoceptive Awareness (MAIA)

2019 ◽  
Vol 35 (3) ◽  
pp. 317-325 ◽  
Author(s):  
Dorota Reis
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Interoceptive Awareness ◽  
Multidimensional Assessment ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Complex Models ◽  
Approximate Zero ◽  
Bayesian Structural Equation Modeling

Abstract. Interoception is defined as an iterative process that refers to receiving, accessing, appraising, and responding to body sensations. Recently, following an extensive process of development, Mehling and colleagues (2012) proposed a new instrument, the Multidimensional Assessment of Interoceptive Awareness (MAIA), which captures these different aspects of interoception with eight subscales. The aim of this study was to reexamine the dimensionality of the MAIA by applying maximum likelihood confirmatory factor analysis (ML-CFA), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM). ML-CFA, ESEM, and BSEM were examined in a sample of 320 German adults. ML-CFA showed a poor fit to the data. ESEM yielded a better fit and contained numerous significant cross-loadings, of which one was substantial (≥ .30). The BSEM model with approximate zero informative priors yielded an excellent fit and confirmed the substantial cross-loading found in ESEM. The study demonstrates that ESEM and BSEM are flexible techniques that can be used to improve our understanding of multidimensional constructs. In addition, BSEM can be seen as less exploratory than ESEM and it might also be used to overcome potential limitations of ESEM with regard to more complex models relative to the sample size.

Analyzing Observed Composite Differences Across Groups

Methodology ◽  
2013 ◽  
Vol 9 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Holger Steinmetz
Keyword(s):  
Monte Carlo ◽  
Structural Equation Modeling ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Monte Carlo Study ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Latent Mean Differences ◽  
Partial Invariance ◽  
Mean Differences

Although the use of structural equation modeling has increased during the last decades, the typical procedure to investigate mean differences across groups is still to create an observed composite score from several indicators and to compare the composite’s mean across the groups. Whereas the structural equation modeling literature has emphasized that a comparison of latent means presupposes equal factor loadings and indicator intercepts for most of the indicators (i.e., partial invariance), it is still unknown if partial invariance is sufficient when relying on observed composites. This Monte-Carlo study investigated whether one or two unequal factor loadings and indicator intercepts in a composite can lead to wrong conclusions regarding latent mean differences. Results show that unequal indicator intercepts substantially affect the composite mean difference and the probability of a significant composite difference. In contrast, unequal factor loadings demonstrate only small effects. It is concluded that analyses of composite differences are only warranted in conditions of full measurement invariance, and the author recommends the analyses of latent mean differences with structural equation modeling instead.

Meta-Accuracy and Perceived Reciprocity From the Perception-Meta-Perception Social Relations Model

2019 ◽  
Vol 50 (1) ◽  
pp. 24-37
Author(s):  
Ben Porter ◽  
Camilla S. Øverup ◽  
Julie A. Brunson ◽  
Paras D. Mehta
Keyword(s):  
Structural Equation Modeling ◽  
Social Relations ◽  
Latent Variables ◽  
Structural Equation ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Complete Understanding ◽  
Social Relations Model ◽  
Flexible Framework ◽  
Multilevel Structural Equation

Abstract. Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We describe the components of the PM-SRM and present two pedagogical examples with code, openly available on https://osf.io/4ag5m . Using a new package in R (xxM), we estimated the model using multilevel structural equation modeling which provides an approachable and flexible framework for evaluating the PM-SRM. Further, we discuss possible expansions to the PM-SRM which can explore novel and exciting hypotheses.

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