Shaping and Re-Shaping Tourism Areas

2017 ◽  
pp. 305-325
Author(s):  
Vincenzo Asero ◽  
Simona Gozzo ◽  
Venera Tomaselli
Keyword(s):  
Logistic Regression ◽  
Network Analysis ◽  
Spatial Planning ◽  
Spatial Configuration ◽  
Multinomial Logistic Regression ◽  
Management Strategies ◽  
Tourism Research ◽  
Logistic Regression Models ◽  
Methodological Criterion ◽  
Tourism Destinations

Defining the boundaries of tourism destinations has been long recognised as a problem in tourism research. The authors aim to define the spatial configuration of tourism areas including different destinations within a same region. Tourist mobility is employed as a methodological criterion to reveal the network relationships among destinations and explain how tourism areas are being shaped and reshaped. The study combines Network Analysis methods and multinomial logistic regression models, in an approach to processing the data of a sampling survey, carried out in Sicily. The results show that the network structures among destinations affect the shape and dimension of tourism areas. Useful evidence for the spatial planning of tourism regions and destination management strategies are derived.

Shaping and Re-Shaping Tourism Areas

2020 ◽  
pp. 483-503
Author(s):  
Vincenzo Asero ◽  
Simona Gozzo ◽  
Venera Tomaselli
Keyword(s):  
Logistic Regression ◽  
Network Analysis ◽  
Spatial Planning ◽  
Spatial Configuration ◽  
Multinomial Logistic Regression ◽  
Management Strategies ◽  
Tourism Research ◽  
Logistic Regression Models ◽  
Methodological Criterion ◽  
Tourism Destinations

Defining the boundaries of tourism destinations has been long recognised as a problem in tourism research. The authors aim to define the spatial configuration of tourism areas including different destinations within a same region. Tourist mobility is employed as a methodological criterion to reveal the network relationships among destinations and explain how tourism areas are being shaped and reshaped. The study combines Network Analysis methods and multinomial logistic regression models, in an approach to processing the data of a sampling survey, carried out in Sicily. The results show that the network structures among destinations affect the shape and dimension of tourism areas. Useful evidence for the spatial planning of tourism regions and destination management strategies are derived.

Domestic Violence Reported to the Police: Correlates of Victims’ Reporting Behavior and Support to Legal Proceedings

2016 ◽  
Vol 31 (3) ◽  
pp. 402-415 ◽  
Author(s):  
Rémi Boivin ◽  
Chloé Leclerc
Keyword(s):  
Domestic Violence ◽  
Logistic Regression ◽  
Regression Models ◽  
Multinomial Logistic Regression ◽  
The Other ◽  
Individual Factors ◽  
Initial Report ◽  
Logistic Regression Models ◽  
Legal Proceedings ◽  
History Of

This article analyzes reported incidents of domestic violence according to the source of the complaint and whether the victim initially supported judicial action against the offender. Almost three quarters of incidents studied were reported by the victim (72%), and a little more than half of victims initially wanted to press charges (55%). Using multinomial logistic regression models, situational and individual factors are used to distinguish 4 incident profiles. Incidents in which the victim made the initial report to the police and wished to press charges are the most distinct and involve partners who were already separated at the time of the incident or had a history of domestic violence. The other profiles also show important differences.

scholarly journals Releasing the conceptual spring to construct multiplicative reasoning

2020 ◽  
Author(s):  
Karen Zwanch ◽  
Jesse L. M. Wilkins
Keyword(s):  
Logistic Regression ◽  
Educational Research ◽  
Regression Models ◽  
Middle Grades ◽  
Multinomial Logistic Regression ◽  
American Educational Research Association ◽  
Research Association ◽  
Multiplicative Reasoning ◽  
Logistic Regression Models ◽  
Quantitative Verification

Abstract Constructing multiplicative reasoning is critical for students’ learning of mathematics, particularly throughout the middle grades and beyond. Tzur, Xin, Si, Kenney, and Guebert [American Educational Research Association, ERIC No. ED510991, (2010)] conclude that an assimilatory composite unit is a conceptual spring to multiplicative reasoning. This study examines patterns in the percentages of students who construct multiplicative reasoning across the middle grades based on their fluency in operating with composite units. Multinomial logistic regression models indicate that students’ rate of constructing an assimilatory composite unit but not multiplicative reasoning in sixth and seventh grades is significantly greater than that in eighth and ninth grades. Furthermore, the proportion of students who have constructed multiplicative reasoning in sixth and seventh grades is significantly less than the proportion of those who have constructed multiplicative reasoning in eighth and ninth grades. One implication of this is the quantitative verification of Tzur, Xin, Si, Kenney, and Guebert’s (2010) conceptual spring. That is, students who construct assimilatory composite units early in the middle grades are likely to construct multiplicative reasoning; students who do not construct assimilatory composite units early in the middle grades likely do not construct multiplicative reasoning in the middle grades.

scholarly journals Is there an association between ageist attitudes and frailty?

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Douglas Salguero ◽  
Juliana Ferri-Guerra ◽  
Nadeem Y. Mohammed ◽  
Dhanya Baskaran ◽  
Raquel Aparicio-Ugarriza ◽  
...  
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Multinomial Logistic Regression ◽  
Frailty Index ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Outcome Variable ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Frailty Status

Abstract Background Frailty is defined as a state of vulnerability to stressors that is associated with higher morbidity, mortality and healthcare utilization in older adults. Ageism is “a process of systematic stereotyping and discrimination against people because they are old.” Explicit biases involve deliberate or conscious controls, while implicit bias involve unconscious processes. Multiple studies show that self-directed ageism is a risk factor for increased morbidity and mortality. The purpose of this study was to determine whether explicit ageist attitudes are associated with frailty in Veterans. Methods This is a cross-sectional study of Veterans 50 years and older who completed the Kogan’s Attitudes towards Older People Scale (KAOP) scale to assess explicit ageist attitudes and the Implicit Association Test (IAT) to evaluate implicit ageist attitudes from July 2014 through April 2015. We constructed a frailty index (FI) of 44 variables (demographics, comorbidities, number of medications, laboratory tests, and activities of daily living) that was retrospectively applied to the time of completion of the KAOP and IAT. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by multinomial logistic regression models with frailty status (robust, prefrail and frail) as the outcome variable, and with KAOP and IAT scores as the independent variables. Age, race, ethnicity, median household income and comorbidities were considered as covariates. Results Patients were 89.76% male, 48.03% White, 87.93% non-Hispanic and the mean age was 60.51 (SD = 7.16) years. The proportion of robust, pre-frail and frail patients was 11.02% (n = 42), 59.58% (n = 227) and 29.40% (n = 112) respectively. The KAOP was completed by 381 and the IAT by 339 participants. In multinomial logistic regression, neither explicit ageist attitudes (KAOP scale score) nor implicit ageist attitudes (IAT) were associated with frailty in community dwelling Veterans after adjusting for covariates: OR = .98 (95% CI = .95–1.01), p = .221, and OR:=.97 (95% CI = .37–2.53), p = .950 respectively. Conclusions This study shows that neither explicit nor implicit ageist attitudes were associated with frailty in community dwelling Veterans. Further longitudinal and larger studies with more diverse samples and measured with other ageism scales should evaluate the independent contribution of ageist attitudes to frailty in older adults.

Adverse Childhood Experiences and School-Based Victimization and Perpetration

2017 ◽  
Vol 35 (3-4) ◽  
pp. 662-681 ◽  
Author(s):  
Myriam Forster ◽  
Amy L. Gower ◽  
Barbara J. McMorris ◽  
Iris W. Borowsky
Keyword(s):  
Logistic Regression ◽  
School Violence ◽  
Adverse Childhood Experiences ◽  
Regression Models ◽  
Multinomial Logistic Regression ◽  
Self Report ◽  
Childhood Experiences ◽  
Logistic Regression Models ◽  
School Based ◽  
Adverse Childhood

Retrospective studies using adult self-report data have demonstrated that adverse childhood experiences (ACEs) increase risk of violence perpetration and victimization. However, research examining the associations between adolescent reports of ACE and school violence involvement is sparse. The present study examines the relationship between adolescent reported ACE and multiple types of on-campus violence (bringing a weapon to campus, being threatened with a weapon, bullying, fighting, vandalism) for boys and girls as well as the risk of membership in victim, perpetrator, and victim–perpetrator groups. The analytic sample was comprised of ninth graders who participated in the 2013 Minnesota Student Survey ( n ~ 37,000). Multinomial logistic regression models calculated the risk of membership for victim only, perpetrator only, and victim–perpetrator subgroups, relative to no violence involvement, for students with ACE as compared with those with no ACE. Separate logistic regression models assessed the association between cumulative ACE and school-based violence, adjusting for age, ethnicity, family structure, poverty status, internalizing symptoms, and school district size. Nearly 30% of students were exposed to at least one ACE. Students with ACE represent 19% of no violence, 38% of victim only, 40% of perpetrator only, and 63% of victim–perpetrator groups. There was a strong, graded relationship between ACE and the probability of school-based victimization: physical bullying for boys but not girls, being threatened with a weapon, and theft or property destruction ( ps < .001) and perpetration: bullying and bringing a weapon to campus ( ps < .001), with boys especially vulnerable to the negative effects of cumulative ACE. We recommend that schools systematically screen for ACE, particularly among younger adolescents involved in victimization and perpetration, and develop the infrastructure to increase access to trauma-informed intervention services. Future research priorities and implications are discussed.

scholarly journals Effects of Social Capital on Credit Access of Farming Households In Vietnam

2014 ◽  
Vol 220 ◽  
pp. 02-18
Author(s):  
HOÀI NGUYỄN TRỌNG ◽  
Bảo Trần Quang
Keyword(s):  
Social Capital ◽  
Logistic Regression ◽  
Rural Areas ◽  
Regression Models ◽  
Multinomial Logistic Regression ◽  
Credit Market ◽  
Influential Factor ◽  
Credit Access ◽  
Logistic Regression Models ◽  
Farming Households

Social capital is considered as an influential factor in economic transactions, including credit access. The research aims at testing relationships between components of social capital and credit access in Vietnam’s rural areas. The testing is conducted with binary logistic and multinomial logistic regression models. The results show that formal social network reduces possibility of getting access to formal credit, and households with wider formal social networks are likelier to belong to the group with access to semi-formal credit than the group with access to formal credit. Such conflicting results may come from specific characteristics of credit market in Vietnam’s rural areas.

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