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An ecological bi-focal model for eld...
~
Heydrich, Levente von.
An ecological bi-focal model for elder physical abuse by adult child: A structural equation modeling of risk factors predicting elder abuse in the United States.
レコード種別:
コンピュータ・メディア : 単行資料
タイトル / 著者:
An ecological bi-focal model for elder physical abuse by adult child: A structural equation modeling of risk factors predicting elder abuse in the United States./
著者:
Heydrich, Levente von.
記述:
198 p.
注記:
Source: Dissertation Abstracts International, Volume: 71-03, Section: A, page: 1104.
含まれています:
Dissertation Abstracts International71-03A.
主題:
Gerontology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3396043
国際標準図書番号 (ISBN):
9781109646085
An ecological bi-focal model for elder physical abuse by adult child: A structural equation modeling of risk factors predicting elder abuse in the United States.
Heydrich, Levente von.
An ecological bi-focal model for elder physical abuse by adult child: A structural equation modeling of risk factors predicting elder abuse in the United States.
- 198 p.
Source: Dissertation Abstracts International, Volume: 71-03, Section: A, page: 1104.
Thesis (Ph.D.)--Michigan State University, 2009.
The age structure of the U.S. population has been undergoing an unprecedented shift toward a growing proportion of people aged 65 and older during the last two decades. According to estimates projected by the U.S. Census Bureau the 65 and older age group is expected to almost double between now and 2030, growing from 4.4 million to 8.9 million. Simultaneously each year in the United States, 1 to 5 million adults older than 65 are physically or sexually injured, exploited, or mistreated by their caregivers (mainly adult child caregivers). Although elder abuse has reached epidemic proportions in our society, there is a paucity of research in the field of marriage and family therapy on theoretical frameworks, ecological risk factors associated with violence perpetrated on the elderly and suggestions for successful therapy interventions. This study examines the prevalence and risk factors involved in elder abuse, specifically physical abuse, in a Random Digit Dial (RDD) sample of non-institutionalized and English speaking older adult population in the United States. Using a subsample of 203 elderly participants from Midlife Development in the United States (MIDUS II, 2004-2006), a study sponsored by the MacArthur Foundation that examined age related differences in physical and mental health due to individual and social factors (Ryff et al., 2006), relationships amongst several individual, relational, and social context dimensions as they relate to elder abuse were examined. Latent variable modeling was used to examine the causal pathways and associations between individual elderly demographic characteristics, physical/emotional health, and behavioral and contextual characteristics. The analysis of data patterns, univariate calculations of data dimensions, and model syntaxes were written with the aid of Mplus, PAXW, and SYSTAT statistical software packages.
ISBN: 9781109646085Subjects--Topical Terms:
168436
Gerontology.
An ecological bi-focal model for elder physical abuse by adult child: A structural equation modeling of risk factors predicting elder abuse in the United States.
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An ecological bi-focal model for elder physical abuse by adult child: A structural equation modeling of risk factors predicting elder abuse in the United States.
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198 p.
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Source: Dissertation Abstracts International, Volume: 71-03, Section: A, page: 1104.
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Adviser: Lawrence B. Schiamberg.
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Thesis (Ph.D.)--Michigan State University, 2009.
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The age structure of the U.S. population has been undergoing an unprecedented shift toward a growing proportion of people aged 65 and older during the last two decades. According to estimates projected by the U.S. Census Bureau the 65 and older age group is expected to almost double between now and 2030, growing from 4.4 million to 8.9 million. Simultaneously each year in the United States, 1 to 5 million adults older than 65 are physically or sexually injured, exploited, or mistreated by their caregivers (mainly adult child caregivers). Although elder abuse has reached epidemic proportions in our society, there is a paucity of research in the field of marriage and family therapy on theoretical frameworks, ecological risk factors associated with violence perpetrated on the elderly and suggestions for successful therapy interventions. This study examines the prevalence and risk factors involved in elder abuse, specifically physical abuse, in a Random Digit Dial (RDD) sample of non-institutionalized and English speaking older adult population in the United States. Using a subsample of 203 elderly participants from Midlife Development in the United States (MIDUS II, 2004-2006), a study sponsored by the MacArthur Foundation that examined age related differences in physical and mental health due to individual and social factors (Ryff et al., 2006), relationships amongst several individual, relational, and social context dimensions as they relate to elder abuse were examined. Latent variable modeling was used to examine the causal pathways and associations between individual elderly demographic characteristics, physical/emotional health, and behavioral and contextual characteristics. The analysis of data patterns, univariate calculations of data dimensions, and model syntaxes were written with the aid of Mplus, PAXW, and SYSTAT statistical software packages.
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The usefulness of this dissertation model is two pronged. First, the proposed model will empirically examine the assumptions, tenets, and conclusions of the Ecological Bi-Focal Model for Elder Abuse framework then discuss possible MFT clinical implications to better understand the therapeutic needs of older adults and their families.
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Implications for the field of marriage and family therapy and future research directions are discussed.
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Key Words: Elder Physical Abuse, Ecological Risk Factors in Elder Physical Abuse, LISREL Data Modeling, Social Relations
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3396043
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