This interval is usually referred to as a confidence interval … There is a 95% chance that the confidence interval which extends to two standard errors on either side of the estimate contains the "true value". 'Assuming that the target population is distributed normally for the characteristic being measured (or, if estimating the mean, the sample is sufficient to assume the sample mean is distributed normally), the interval which contains the true value is usually calculated as being one, two, or three standard errors above and below the survey estimate. The ABS online Basic Survey Design (2020a) explains confidence intervals in this way: In reporting the prevalence of elder abuse overall and the six subtypes, 95% confidence intervals are provided. A 95% confidence interval means that we can be 95% confident that the true population value is between the upper and lower bounds of the interval. The value for the population is expected to fall between these bounds with a certain degree of confidence. An interval is calculated using a mathematical formula that produces upper and lower bounds. That is, the Australian population aged 65 years and older living in the community. Residing in a private dwelling or self-care retirement village as opposed to residing in institutional care including hospitals, nursing homes or other homes.Ĭonfidence intervals relate to the level of confidence we have that the estimates calculated based on the sample are a true reflection of the Australian population of interest for this study. The presence of two or more forms of abuse in the previous 12 months. In this report, CALD (Culturally and Linguistically Diverse) refers specifically to participants in the Survey of Older People who reported speaking a language other than English at home. Where the verbatim responses to questions with an 'Other' (specify) response option were coded to the original response options or additional categories. Measured in this research through a scale that comprised attitudes relating to benevolent and hostile ageism (see Box 12.3). This report presents the findings of that research program.Īttitudes that are prejudicial and discriminatory towards people because of their age (Swift et al., 2018). Nor are they able to assess other important issues, such as the extent to which elder abuse is under-reported.Īs part of the National Plan to Respond to the Abuse of Older Australians, the Attorney-General's Department commissioned the most extensive empirical examination of elder abuse in Australia to date, the National Elder Abuse Prevalence Study. Such studies are unable to shed light on the proportion of older people aged 65 and over who experience elder abuse or which subtypes are most common. In Australia, research on elder abuse has been limited to studies looking at particular types of elder abuse (e.g. financial abuse), qualitative studies and those based on administrative data from services who provide support to older people. The 65 and over age group is expected to more than double from 3.8 million to 8.8 million in the next 25 years. The increasingly older age profile of the Australian population makes it particularly important to address elder abuse effectively. Five abuse subtypes are commonly recognised: financial abuse, physical abuse, sexual abuse, psychological abuse (otherwise known as emotional abuse), and neglect. Elder abuse has gained significant attention in Australia in recent years as a serious problem requiring increased policy focus.
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