Residential Stability Versus Residents’ Interactions: The Determinants of Voluntary Participation in Police Block Activity

2020 ◽  
Author(s):  
Jonathan E Coats
Keyword(s):  
Logistic Regression ◽  
Community Engagement ◽  
Crime Prevention ◽  
Survey Data ◽  
Policy Implications ◽  
Future Research ◽  
Voluntary Participation ◽  
Group Level ◽  
Residential Stability ◽  
Interaction Terms

Abstract This research examines the influence of residential stability and resident’s interactions on participation in police block activity. Community engagement is one approach used by the police to increase the co-production of crime prevention by providing opportunities and engaging the community in group-level informal and voluntary activities. These optional activities are designed to promote a working relationship between the residents and the police. Multilevel ordinal logistic regression was run to estimate participation in police block activity, using the Seattle Neighborhood and Crime Survey data. The results demonstrate two things. First, this study extends the standard variables, used in examining voluntary involvement, to the frequency of participation in police block activity. Secondly, using interaction terms between residential stability and between residents’ interactions, the results suggest that between residents’ interaction may be a better predictor of frequent participation in police block activity than homeownership or length of residency. Finally, policy implications and future research avenues are discussed.

scholarly journals The Effect of Various Police Enforcement Actions on Violent Crime: Evidence From a Saturation Foot-Patrol Intervention

2018 ◽  
Vol 29 (6-7) ◽  
pp. 611-629 ◽  
Author(s):  
Eric L. Piza
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Crime Prevention ◽  
Regression Models ◽  
Policy Implications ◽  
Target Area ◽  
Spatial Displacement ◽  
Foot Patrol ◽  
Logistic Regression Models

The current study tests the crime prevention effect of different police actions conducted during a foot-patrol saturation initiative in Newark, New Jersey. Police actions were categorized into two typologies: enforcement actions (i.e., arrests, quality of life summonses and field interrogations) and guardian actions (i.e., business checks, citizen contacts, bus checks, and taxi inspections). Logistic regression models tested the effect of enforcement and guardian actions on crime during daily (i.e., 24-hr) periods as well as the intervention’s operational (6:00 p.m.-2:00 a.m.) and nonoperational (2:00 a.m.-5:00 p.m.) periods. Analyses were conducted twice, once for the Operation Impact target area and once for a surrounding catchment zone (to measure spatial displacement). Findings suggest that guardian actions had a greater crime prevention effect than enforcement actions on crime occurrence. Policy implications of the findings are discussed.

Evaluating citizen-consumers' attitude toward high social content products: the case of social farming

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anna Uliano ◽  
Marcello Stanco ◽  
Marco Lerro ◽  
Giuseppe Marotta ◽  
Concetta Nazzaro
Keyword(s):  
Logistic Regression ◽  
Policy Implications ◽  
Future Research ◽  
Convenience Sample ◽  
Content Type ◽  
Self Identity ◽  
Factors Affecting ◽  
Research Fields ◽  
Positive Externalities ◽  
Social Farming

PurposeSocial Farming (SF) is an expression of agricultural diversification and multifunctionality, due to its ability to create positive externalities through the inclusion of vulnerable individuals. For this reason, products derived from SF are characterized by social quality attributes, which, however, are not often recognized by the market. This study aims to investigate the reasons behind the lacked recognition of the value created by SF analyzing the willingness to pay (WTP) for such products and the factors affecting citizen-consumers' purchasing behavior.Design/methodology/approachData were collected through a convenience sample (N = 350) via a web-based structured questionnaire. Psycho-attitudinal scales, previously validated in literature, were adopted to characterize the citizen-consumers interviewed. A logistic regression was run in order to determine those characteristics of respondents affecting their intention to purchase SF products, while an ordered logistic regression was performed to uncover the determinants of consumers' WTP for SF products.FindingsThe results show the relevant role of the level of education, household size and ethical self-identity in affecting the willingness to support SF activities by paying a price premium for its products. Lack of availability and information about SF products are the main factors limiting their purchase.Originality/valueThe study offers interesting results outlining future research fields about market penetration strategies and policy implications.

Conclusion

2020 ◽  
pp. 698-719
Author(s):  
Ronald E. Rice ◽  
Simeon J. Yates ◽  
Jordana Blejmar
Keyword(s):  
Digital Technology ◽  
Digital Literacy ◽  
Theory Development ◽  
Policy Implications ◽  
Digital Culture ◽  
Future Research ◽  
Technology And Society ◽  
Ongoing Research ◽  
Positive Effects ◽  
Research Areas

We conclude the Handbook of Digital Technology and Society by identifying topics that appear in multiple chapters, are more unique to some chapters, and that represent general themes across the material. Each of these is considered separately for the ESRC theme chapters and the non-ESRC chapters. In the ESRC theme chapters, cross-cutting research topics include digital divides and inequalities; data and digital literacy; governance, regulation, and legislation; and the roles and impacts of major platforms. Cross-cutting challenges include methods; theory development, testing, and evaluation; ethics; big data; and multi-platform/holistic studies. Gaps include policy implications, and digital culture. In the non-ESRC chapters, more cross-cutting themes include future research and methods; technology venues; relationships; content and creation; culture and everyday life; theory; and societal effects. More unique, these were digitization of self; managing digital experience; names for the digital/social era; ethics; user groups; civic issues; health, and positive effects. The chapter also shows how the non-ESRC chapters may be clustered together based on their shared themes and subthemes, identifying two general themes of more micro and more macro topics. The identification of both more and less common topics and themes can provide the basis for understanding the landscape of prior research, what areas need to be included in ongoing research, and what research areas might benefit from more attention. The chapter ends with some recommendations for such ongoing and future research in the rich, important, and challenging area of digital technology and society.

scholarly journals Validity of the Gender Dysphoria diagnosis and incidence trends in Sweden: a nationwide register study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Malin Indremo ◽  
Richard White ◽  
Thomas Frisell ◽  
Sven Cnattingius ◽  
Alkistis Skalkidou ◽  
...  
Keyword(s):  
Gender Dysphoria ◽  
Age Groups ◽  
Medical Intervention ◽  
Future Research ◽  
Advantages And Disadvantages ◽  
Incidence Trends ◽  
Interaction Terms ◽  
Definition Of ◽  
The Individual ◽  
Nationwide Register Study

AbstractThe aim of this study was to examine the validity of the Gender Dysphoria (GD) diagnoses in the Swedish National Patient Register (NPR), to discuss different register-based definitions of GD and to investigate incidence trends. We collected data on all individuals with registered GD diagnoses between 2001 and 2016 as well as data on the coverage in the NPR. We regarded gender confirming medical intervention (GCMI) as one proxy for a clinically valid diagnosis and calculated the positive predictive value (PPV) for receiving GCMI for increasing number of registered GD diagnoses. We assessed crude and coverage-adjusted time trends of GD during 2004–2015 with a Poisson regression, using assigned sex and age as interaction terms. The PPV for receiving GCMI was 68% for ≥ 1 and 79% for ≥ 4 GD-diagnoses. The incidence of GD was on average 35% higher with the definition of ≥ 1 compared to the definition of ≥ 4 diagnoses. The incidence of GD, defined as ≥ 4 diagnoses increased significantly during the study period and mostly in the age categories 10–17 and 18–30 years, even after adjusting for register coverage. We concluded that the validity of a single ICD code denoting clinical GD in the Swedish NPR can be questioned. For future research, we propose to carefully weight the advantages and disadvantages of different register-based definitions according to the individual study’s needs, the time periods involved and the age-groups under study.

scholarly journals Perceived and objective availability of green and blue spaces and quality of life in people with dementia: results from the IDEAL programme

2021 ◽  
Author(s):  
Yu-Tzu Wu ◽  
◽  
Linda Clare ◽  
Ian Rees Jones ◽  
Sharon M. Nelis ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Urban Areas ◽  
Positive Association ◽  
Deprivation Level ◽  
Community Dwelling ◽  
Future Research ◽  
Interaction Terms ◽  
Perceived Availability ◽  
People With Dementia

Abstract Purpose The aim of this study was to investigate the associations between quality of life and both perceived and objective availability of local green and blue spaces in people with dementia, including potential variation across rural/urban settings and those with/without opportunities to go outdoors. Methods This study was based on 1540 community-dwelling people with dementia in the Improving the experience of Dementia and Enhancing Active Life (IDEAL) programme. Quality of life was measured by the Quality of Life in Alzheimer’s Disease (QoL-AD) scale. A list of 12 types of green and blue spaces was used to measure perceived availability while objective availability was estimated using geographic information system data. Regression modelling was employed to investigate the associations of quality of life with perceived and objective availability of green and blue spaces, adjusting for individual factors and deprivation level. Interaction terms with rural/urban areas or opportunities to go outdoors were fitted to test whether the associations differed across these subgroups. Results Higher QoL-AD scores were associated with higher perceived availability of local green and blue spaces (0.82; 95% CI 0.06, 1.58) but not objective availability. The positive association between perceived availability and quality of life was stronger for urban (1.50; 95% CI 0.52, 2.48) than rural residents but did not differ between participants with and without opportunities to go outdoors. Conclusions Only perceived availability was related to quality of life in people with dementia. Future research may investigate how people with dementia utilise green and blue spaces and improve dementia-friendliness of these spaces.

Analysis on application level based on ordinal logistic regression and best of advanced manufacturing technologies (AMT) selection based on fuzzy-TOPSIS integration approach

2021 ◽  
pp. 1-11
Author(s):  
Guilian Wang ◽  
Liyan Zhang ◽  
Jing Guo
Keyword(s):  
Logistic Regression ◽  
Organizational Factors ◽  
Fuzzy Topsis ◽  
Ordinal Logistic Regression ◽  
Industrial Robots ◽  
Policy Implications ◽  
Market Pricing ◽  
Factors Affecting ◽  
Pricing Power ◽  
The Core Competence

This paper try to fully reveal the key factors affecting the the level of AMT application in micro- and small enterprises (MSEs) from its organizational factors by ordinal logistic regression. The results show that MSEs have a relatively high level of AMT application as a whole due to the maturity and cost reduction of basic technologies such as artificial intelligence, digital manufacturing and industrial robots. In this paper we propose manufacturing world analysis at Application using Logistic Regression and best AMT selection using Fuzzy-TOPSIS Integration approach.Considering the influence mechanism of each factor, the important factors that affect the application level of AMT are the enterprise’s market pricing power, the main production types, technical, market and management capabilities, organization development incentives and the interaction with external stakeholders. Based on the results above, the following policy implications are proposed: further expanding the customized production in MSEs to gradually improve the market pricing power, expanding the core competence of enterprises, enhancing the employee autonomy, and strengthening the interaction with industry organizations.

Personal bonds in the internationalization of the social sciences: A view from the periphery

2021 ◽  
pp. 026858092096201
Author(s):  
Leandro Rodriguez-Medina ◽  
Hebe Vessuri
Keyword(s):  
Social Sciences ◽  
Latin America ◽  
Policy Implications ◽  
Future Research ◽  
Research Directions ◽  
Academic Mobility ◽  
The Social ◽  
Future Research Directions

Due to the interest in formal relationships at work or to the difficulty to define what personal means, personal bonds in the social sciences have been an understudied topic. Even less has been the interest in connecting such bonds with the internationalization of careers and knowledge. In this article, the authors aim at filling this gap by studying what role personal bonds have played in the internationalization of the social sciences in Latin America. They identify factors that affect personal bonds as well as translations that scholars produce to capitalize on these ties. The most relevant of such translations, academic mobility, has to be interpreted, from a peripheral standpoint, as operating within a logic of leveling, a process that highlights structural asymmetries in the global social sciences. The authors describe both dimensions of this process and, in the concluding section, offer some policy implications and future research directions.

scholarly journals Regression analyses of questionnaires in bedside teaching

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Wolf Ramackers ◽  
Julia Victoria Stupak ◽  
Indra Louisa Marcheel ◽  
Annette Tuffs ◽  
Harald Schrem ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Linear Regression ◽  
Survey Data ◽  
Organizational Structures ◽  
Bedside Teaching ◽  
Regression Analyses ◽  
Negative Perception ◽  
Data Analyses ◽  
Main Target ◽  
Relevant Factors

Abstract Background Students’ ratings of bedside teaching courses are difficult to evaluate and to comprehend. Validated systematic analyses of influences on students’ perception and valuation of bedside teaching can serve as the basis for targeted improvements. Methods Six hundred seventy-two observations were conducted in different surgical departments. Survey items covered the categories teacher’s performance, student’s self-perception and organizational structures. Relevant factors for the student overall rating were identified by multivariable linear regression after exclusion of variable correlations > 0.500. The main target for intervention was identified by the 15% worst overall ratings via multivariable logistic regression. Results According to the students the success of bedside teaching depended on their active participation and the teacher’s explanations of pathophysiology. Further items are both relevant to the overall rating and a possible negative perception of the session. In comparison, negative perception of courses (worst 15%) is influenced by fewer variables than overall rating. Variables that appear in both calculations show slight differences in their weighing for their respective endpoints. Conclusion Relevant factors for overall rating and negative perception in bedside teaching can be identified by regression analyses of survey data. Analyses provide the basis for targeted improvement.

scholarly journals Electronic Health Record Acceptance by Physicians: A Single Hospital Experience in Daily Practice

2021 ◽  
Vol 1 (1) ◽  
pp. 6-17
Author(s):  
Andrija Pavlovic ◽  
Nina Rajovic ◽  
Jasmina Pavlovic Stojanovic ◽  
Debora Akinyombo ◽  
Milica Ugljesic ◽  
...  
Keyword(s):  
Health Care ◽  
Logistic Regression ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Daily Practice ◽  
Ease Of Use ◽  
Future Research ◽  
Health Record ◽  
Cross Sectional ◽  
Electronic Health

Introduction: Potential benefits of implementing an electronic health record (EHR) to increase the efficiency of health services and improve the quality of health care are often obstructed by the unwillingness of the users themselves to accept and use the available systems. Aim: The aim of this study was to identify factors that influence the acceptance of the use of an EHR by physicians in the daily practice of hospital health care. Material and Methods: The cross-sectional study was conducted among physicians in the General Hospital Pancevo, Serbia. An anonymous questionnaire, developed according to the technology acceptance model (TAM), was used for the assessment of EHR acceptance. The response rate was 91%. Internal consistency was assessed by Cronbach’s alpha coefficient. A logistic regression analysis was used to identify the factors influencing the acceptance of the use of EHR. Results: The study population included 156 physicians. The mean age was 46.4 ± 10.4 years, 58.8% participants were female. Half of the respondents (50.1%) supported the use of EHR in comparison to paper patient records. In multivariate logistic regression modeling of social and technical factors, ease of use, usefulness, and attitudes towards use of EHR as determinants of the EHR acceptance, the following predictors were identified: use of a computer outside of the office for reading daily newspapers (p = 0.005), EHR providing a greater amount of valuable information (p = 0.007), improvement in the productivity by EHR use (p < 0.001), and a statement that using EHR is a good idea (p = 0.014). Overall the percentage of correct classifications in the model was 83.9%. Conclusion: In this research, determinants of the EHR acceptance were assessed in accordance with the TAM, providing an overall good model fit. Future research should attempt to add other constructs to the TAM in order to fully identify all determinants of physician acceptance of EHR in the complex environment of different health systems.

Children With Intellectual Disability and Victimization: A Logistic Regression Analysis

2021 ◽  
pp. 107755952199417
Author(s):  
Katherine R. Brendli ◽  
Michael D. Broda ◽  
Ruth Brown
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Intellectual Disability ◽  
Logistic Regression Analysis ◽  
District Of Columbia ◽  
The Other ◽  
Future Research ◽  
Common Assumption ◽  
Research And Practice ◽  
Demographic Correlates

It is a common assumption that children with disabilities are more likely to experience victimization than their peers without disabilities. However, there is a paucity of robust research supporting this assumption in the current literature. In response to this need, we conducted a logistic regression analysis using a national dataset of responses from 26,572 parents/caregivers to children with and without disabilities across all 50 states, plus the District of Columbia. The purpose of our study was to acquire a greater understanding of the odds of victimization among children with and without intellectual disability (ID), while controlling for several child and parent/adult demographic correlates. Most notably, our study revealed that children with ID have 2.84 times greater odds of experiencing victimization than children without disabilities, after adjusting for the other predictors in the model. Implications for future research and practice are discussed.

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