Feeling safe in one's neighbourhood: Variation by location among older Australians

Quine, Susan; Morrell, Stephen

doi:10.1111/j.1440-1584.2008.00960.x

Cited by 9 publications

(6 citation statements)

References 2 publications

(2 reference statements)

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“…While ‘living alone’ in older age could be considered a priori a possible source of increased concern about one's personal safety, this was not borne out by the analysis. Regional location was a significant positive predictor, and a more detailed analysis by location has been conducted [29], which reinforces the strength of location in predicting feeling safe in the neighbourhood.…”

Section: Discussionmentioning

confidence: 99%

“…As the OPHS was a broad‐ranging survey investigating topics on health, well‐being and life style, and also collected extensive background information on sociodemographic and socioeconomic variables, it was possible to analyse responses to these variables to identify predictors of feeling safe in the home and neighbourhood. The first author (SQ) contributed to the design and content of the questionnaire used in the OPHS survey, and was given access to the de‐identified unit record data to research a range of topics relevant to the health and well‐being of older Australians [29–33]. The second author (SM) is a biostatistician who conducted the statistical analysis on the safety responses reported here, and on responses for all previous topics reported [29–33].…”

Section: Methodsmentioning

confidence: 99%

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Research: Perceptions of personal safety among older Australians

Quine

Morrell

2008

Australas J Ageing

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Research: Perceptions of personal safety among older Australians

Quine

Morrell

2008

Australas J Ageing

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“…Older adults in non-metropolitan areas reported feeling safer in their neighbourhood than those living in metropolitan areas, but conversely felt less safe in their homes (Quine and Morrell 2008b). Specifically, older adults living in small rural communities were the most likely to report that they felt safe in their community all of the time (Quine and Morrell 2008a).…”

Section: Fear Of Crimementioning

confidence: 98%

Are Neighbourhood Incivilities Associated with Fear of Crime?

Roberts¹,

Indermaur²

2012

Australia: Identity, Fear and Governance in the 21st Century

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Beyond the direct harm that crime has on individuals and their communities, crime also has destructive effects indirectly through fear of crime. Whether or not such fear is based on a realistic assessment of the likelihood of crime victimisation, it can have debilitating effects on an individual's physical and mental wellbeing and social functioning. Based on a longitudinal study of persons aged fifty to seventy-five, Stafford, Chandola and Marmot (2007) reported that fear of crime was associated with reduced quality of life, higher rates of depression and poorer mental health. In addition, fear of crime was associated with reduced physical functioning. The authors hypothesised that the poorer mental and physical health outcomes are the result of the curtailment of physical and social activities resulting from the fear of crime. While attempts to estimate the economic and social costs of fear of crime have been limited by the difficulty of measuring intangible costs, Dolan and Peasgood (2007) highlight the need to consider the tangible costs of fear of crime (for example, costs resulting from changed behaviour to reduce the perceived risk of victimisation such as the cost of taking taxis rather than public transport) and associated health costs (in the United Kingdom estimated at £19.5 per year per person).In addition to the effect on individuals, communities can also be affected where fear of crime is high. Skogan (1986) detailed how fear of crime in 'disintegrating' neighbourhoods can result in residents physically withdrawing from community life and focusing their concerns (and by extension their informal control through surveillance) within the household. This weakening of social organisation and informal social control within the community can provide the opportunity for increased delinquency and disorder, further contributing to physical and social incivilities and neighbourhood decline. This sequential interaction of community disorganisation and incivilities has been the subject of much criminological investigation dating back at least to the seminal work of Skogan and Maxfield (1981) and popularised through the 'broken windows' thesis of Wilson and Kelling (1982). Work in this area continues, including within Australia with key studies including the major National Campaign Against Violence and Crime fear-of-crime research project (Tulloch et al. 1998a(Tulloch et al. , 1998b and, more recently, McCrea et al.'s (2005) exploration of the relative contribution of the social disorganisation and incivilities of fear of crime within Brisbane.

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“…With this procedure, some respondents' data is assigned greater relative influence and others' is assigned less. The practice is commonplace in the summary of polling data (e.g., elections and politics; Rivers & Bailey, ; prevalence rates of psychological disorders; Kessler et al, ; feelings of physical safety; Quine & Morrell, ). The practice is, however, largely absent within the HRM domain or published organizational literature.…”

mentioning

confidence: 99%

Post‐Stratification Weighting in Organizational Surveys: A Cross‐Disciplinary Tutorial

Kulas¹,

Robinson

Smith

et al. 2018

Human Resource Management

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Post‐stratification weighting is a technique used in public opinion polling to minimize discrepancies between population parameters and realized sample characteristics. The current paper provides a weighting tutorial to organizational surveyors who may otherwise be unfamiliar with the rationale behind the practice as well as “when and how to do” such weighting. The primary reasons to weight include: [1] reducing the effect of frame, sampling, and nonresponse bias in point estimates, and, relatedly, (2) correcting for aggregation error resulting from over‐ and underrepresentation of constituent groups. We briefly compare and contrast traditions within public opinion and organizational polling contexts and present a hybrid taxonomy of sampling procedures that organizational surveyors may find useful in situating their survey efforts within a methodological framework. Next, we extend the existing HRM literature focused on survey nonresponse to a broader lens concerned with population misrepresentation. It is from this broadened methodological framework that we introduce the practice of weighting as a remedial strategy for misrepresentation. We then provide sample weighting algorithms and standard error corrections that can be applied to organizational survey data and make our data and procedures available to individuals who may wish to use our examples as they learn “how to weight.” © 2018 Wiley Periodicals, Inc.

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Feeling safe in one's neighbourhood: Variation by location among older Australians

Cited by 9 publications

References 2 publications

Research: Perceptions of personal safety among older Australians

Research: Perceptions of personal safety among older Australians

Are Neighbourhood Incivilities Associated with Fear of Crime?

Post‐Stratification Weighting in Organizational Surveys: A Cross‐Disciplinary Tutorial

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