Structural Equation Models of Day-to-Day Activity Participation and Travel Behavior in a Developing Country

2002 ◽  
Vol 1807 (1) ◽  
pp. 109-118 ◽  
Author(s):  
Jin-Hyuk Chung ◽  
Yongsung Ahn
Keyword(s):  
Developing Country ◽  
Travel Behavior ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Activity Patterns ◽  
Developed Countries ◽  
The United States ◽  
Equation Model ◽  
Model Systems ◽  
Activity Participation

A series of structural equation models are presented that capture relationships among sociodemographics, activity participation (time use), and travel behavior for each day during a week in a developing country (Korea). Complex and strong relationships among the endogenous and exogenous variables are explained. In addition, results are similar to findings in the existing literature in developed countries such as European countries and the United States. It is temporarily concluded that there are similar relationships between sociodemographics and travel behavior in developing and developed countries. It is also confirmed that activity patterns are significantly different on weekdays and weekends. Furthermore, during weekdays there are some day-to-day variations in the patterns of activity participation and travel behavior. Finally, the relationships among sociodemographics, activity participation, and travel behavior from the direct, indirect, and total effects in structural equation model systems are presented and explained. This study may contribute to an understanding of travel behavior in developing countries.

A Structural Equation Model to Analyze Interrelationship between Activity Participation and Trip-Chaining of Nuclear Household

2012 ◽  
Vol 178-181 ◽  
pp. 1923-1929
Author(s):  
Min Yang ◽  
Dan Li ◽  
Wei Wang
Keyword(s):  
Structural Equation Model ◽  
Travel Behavior ◽  
Structural Equation ◽  
Leisure Activities ◽  
Equation Model ◽  
Activity Participation ◽  
Complex Interactions ◽  
Activity Duration ◽  
Trip Chaining ◽  
Nuclear Household

Travel is derived from the necessity to engage in spatially-separated activities. Previous researches have demonstrated that socio-demographics have effects on activity-travel behavior, but few of them focus on the interactions between activity and trip-chaining, especially the influence of trip-chaining on activity. Based on the activity-travel survey data of Suzhou, China, in 2009, complex interactions between activity participation and trip-chaining behavior of nuclear household are explored using structural equation model. Model estimation results show that trade-off and complementarity exist among different types of activities and trip chains. Besides, trip-chaining generation is deeply affected by activity participation. Subsistence activity negatively affects trip-chaining characteristics, while maintenance and leisure activities positively affect it. Furthermore, feedbacks from trip-chaining characteristics to activity participation do exist. Travel time and the number of trip-chaining have significant effects on activity duration.

Dimensionality of the State–Trait Inventory of Cognitive and Somatic Anxiety

Assessment ◽  
2020 ◽  
pp. 107319112095362
Author(s):  
Kara M. Styck ◽  
Madeline C. Rodriguez ◽  
Esther H. Yi
Keyword(s):  
Structural Equation ◽  
Structural Equation Models ◽  
Population Level ◽  
The United States ◽  
Equation Model ◽  
Unintended Consequences ◽  
The State ◽  
Self Report ◽  
Future Research ◽  
Somatic Anxiety

The State–Trait Inventory of Cognitive and Somatic Anxiety (STICSA) is a commonly administered self-report instrument of state–trait cognitive and somatic anxiety. Extant research has consistently supported the intended oblique two-factor scoring structure for the STICSA. However, this model assumes that population-level data have (or approximate) a simple structure and that item-level variance is unidimensional. These assumptions may not be tenable and have unintended consequences for STICSA subscore interpretation. Consequently, we tested these assumptions by fitting confirmatory and exploratory structural equation models to STICSA scores for a diverse sample of college students enrolled at a large Southwestern university in the United States ( n = 635). Results indicated that cognitive and somatic factors are not equally robust and that STICSA items appear to measure a nonnegligible mixture of both latent cognitive and somatic anxiety. It is recommended that future research use exploratory structural equation model in tandem with CFA to directly model data complexity.

Value-Based Approach to Assess the Impact of Lifestyles on Mode Shares

2021 ◽  
pp. 036119812097126
Author(s):  
Veronique Van Acker ◽  
Sazkia Sandoval ◽  
Mario Cools
Keyword(s):  
Public Transport ◽  
Travel Behavior ◽  
Structural Equation ◽  
Online Survey ◽  
Activity Patterns ◽  
Equation Model ◽  
Policy Makers ◽  
Perceptions And Attitudes ◽  
Mode Share ◽  
The Impact

Travel behavior research has long been dominated by a rational perspective considering primarily objective factors such as price, travel time, and speed. Only at the end of the 1990s was attention also paid to subjective factors such as perceptions and attitudes. Since then, a growing number of studies combine objective and subjective factors in explaining travel behavior. This paper adds to this by focusing on the influence of lifestyles on mode share. To this end, an online survey was carried out in Belgium, completed successfully by 334 respondents. Lifestyles were measured based on a psychographic or value-based approach using the Portrait Values Questionnaire (PVQ) developed by Schwartz. Results of a structural equation model (SEM) indicate that using value-based lifestyles adds new insights to the analysis of mode share. Personal values have not only a direct effect on mode share but also an indirect effect because of interactions with urban residential location choices, car ownership decisions, and activity patterns. The findings suggest that public transport use could be encouraged by promoting it as an act of caring for others. At the same time, policy-makers should invest in creating positive experiences for travelers using public transport.

Forced Zero Cross-Loading Misspecifications in Measurement Component of Structural Equation Models

Methodology ◽  
2014 ◽  
Vol 10 (4) ◽  
pp. 138-152 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Susan Troncoso Skidmore ◽  
Yan Li ◽  
Bruce Thompson
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Equation Model ◽  
Model Fit ◽  
Model Specification ◽  
Simulation Design ◽  
Measurement Models ◽  
Fit Statistics ◽  
Path Coefficients

The purpose of the present paper was to evaluate the effect of constraining near-zero parameter cross-loadings to zero in the measurement component of a structural equation model. A Monte Carlo 3 × 5 × 2 simulation design was conducted (i.e., sample sizes of 200, 600, and 1,000; parameter cross-loadings of 0.07, 0.10, 0.13, 0.16, and 0.19 misspecified to be zero; and parameter path coefficients in the structural model of either 0.50 or 0.70). Results indicated that factor pattern coefficients and factor covariances were overestimated in measurement models when near-zero parameter cross-loadings constrained to zero were higher than 0.13 in the population. Moreover, the path coefficients between factors were misestimated when the near-zero parameter cross-loadings constrained to zero were noteworthy. Our results add to the literature detailing the importance of testing individual model specification decisions, and not simply evaluating omnibus model fit statistics.

Suicidal Ideation Among International Students: The Role of Cultural, Academic, and Interpersonal Factors

2021 ◽  
pp. 001100002110024
Author(s):  
Andrés E. Pérez Rojas ◽  
Na-Yeun Choi ◽  
Minji Yang ◽  
Theodore T. Bartholomew ◽  
Giovanna M. Pérez
Keyword(s):  
International Students ◽  
Suicidal Ideation ◽  
Structural Equation ◽  
Structural Equation Models ◽  
The United States ◽  
Cross Cultural ◽  
Thwarted Belongingness ◽  
Perceived Burdensomeness ◽  
Using Data

We examined two structural equation models of international students’ suicidal ideation using data from 595 international students in two public universities in the United States. The models represented competing hypotheses about the relationships among discrimination, cross-cultural loss, academic distress, thwarted belongingness, perceived burdensomeness, and suicidal ideation. The findings indicated there were direct, positive links between discrimination, cross-cultural loss, and academic distress to perceived burdensomeness; a direct, positive link between perceived burdensomeness and suicidal ideation; and indirect, positive links between discrimination, cross-cultural loss, and academic distress to suicidal ideation via perceived burdensomeness. The only predictors that related to thwarted belongingness were cross-cultural loss and academic distress, and there were no indirect links to suicidal ideation via thwarted belongingness. In fact, with all other variables in the model, thwarted belongingness was unrelated to suicidal ideation. Finally, academic distress was directly related to suicidal ideation. We discuss implications of the findings.

Stepfamily Closeness and Depression Among American Indian Emerging Adults: A Structural Equation Modeling Approach

2018 ◽  
Vol 40 (3) ◽  
pp. 267-292 ◽  
Author(s):  
Kaitlin P. Ward ◽  
Gordon E. Limb ◽  
Sarah Higbee ◽  
Helena Haueter
Keyword(s):  
American Indian ◽  
Emerging Adults ◽  
American Indians ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
Equation Modeling ◽  
Racial Groups ◽  
Biological Parent ◽  
Parent Child

Stepfamilies are one of the fastest growing family structures among all racial groups in the United States. Stepfamily research among many racial groups, specifically American Indians, is virtually nonexistent. This is unfortunate, as American Indians are more likely to divorce and remarry compared with other populations. From a family systems perspective, this study examined whether retrospectively perceived closeness in three stepfamily relationships, namely child–residential biological parent, child–residential stepparent, and child–stepsibling, were negatively associated with depression scores in 226 American Indian emerging adults. A structural equation model showed that increased child–residential biological parent and child–stepsibling closeness predicted decreased depression scores, whereas child–residential stepparent closeness did not. We also found that depression scores significantly predicted retrospective perceptions of child–residential biological parent, child–residential stepparent, and child–stepsibling closeness. Findings encourage interventions that strengthen American Indian child–residential biological parent and child–stepsibling relationships, and underscore the need for further research that explores American Indian stepfamily relationships.

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