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The relationship between motivation,...
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Marvin-Humann, Kristin Danielle.
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The relationship between motivation, Maslow's hierarchy of needs, time, and craving levels in the mandated substance abuse treatment population.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The relationship between motivation, Maslow's hierarchy of needs, time, and craving levels in the mandated substance abuse treatment population./
作者:
Marvin-Humann, Kristin Danielle.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2008,
面頁冊數:
136 p.
附註:
Source: Dissertations Abstracts International, Volume: 70-07, Section: B.
Contained By:
Dissertations Abstracts International70-07B.
標題:
Public health. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3335429
ISBN:
9780549889359
The relationship between motivation, Maslow's hierarchy of needs, time, and craving levels in the mandated substance abuse treatment population.
Marvin-Humann, Kristin Danielle.
The relationship between motivation, Maslow's hierarchy of needs, time, and craving levels in the mandated substance abuse treatment population.
- Ann Arbor : ProQuest Dissertations & Theses, 2008 - 136 p.
Source: Dissertations Abstracts International, Volume: 70-07, Section: B.
Thesis (Psy.D.)--Alliant International University, Fresno, 2008.
This item must not be sold to any third party vendors.
Substance abuse is a serious concern that has been found to raise societal costs (Catford, 2001; Chaiken & Chaiken, 1990; French et al., 1996; Harwood, Fountain, & Livermore, 1998; Hearndon & Harocopos, 1999; MacCoun & Reuter, 2001; Oltmanns & Emery, 1999; U.S. Department of Justice, 2000). In 2001, the Substance Abuse and Crime Prevention Act was passed allowing for nonviolent substance abuse offenders to bypass incarceration and enroll in mandated treatment. There is little research on Proposition 36 clients; however, the goal for treatment is to reduce the vii number of nonviolent offenders in prison and to help reduce recidivism (California Proposition, 36, 2000). Research has also suggested that motivation, time in treatment, and the extent to which one's needs are met can help predict craving levels, which have been suggested to help predict treatment dropout (Ball, Carroll, Canning-Ball, & Rousanville, 2005; Brecht, Anglin, & Wang, 1993; Hartz, Frederick-Osborn, & Galloway, 2001; Jones, 2004; Klag, O'Callaghan, & Creed, 2005; Maslow, 1954, 1970; Ryan, Plant, & O'Malley, 1995). Three measures were employed in this study: a demographic questionnaire, measurements of participant's motivation, caving levels, and current needs met. A total of 70 participants' data were used. A multiple regression attempted to determine which predictor variable (time in treatment, external and internal motivation, and needs met) was the best predictor of craving levels. Results suggested that external motivation and having needs met were the best predictors of increased craving levels. These individuals may benefit from more interpersonal therapy, which may help to increase their internal motivation by building self-esteem and gaining insight to their addictions. Three independent t tests were run to determine significance between length of time in treatment and needs met; however, results were not significant. Additionally, five post hoc analyses were completed using demographic data and craving or motivation levels; however, none yielded significance. Future research is needed in this area, especially comparing Proposition 36 to Drug Court clientele to determine if one treatment program is more effective, potentially adding to the need for more evidence-based programming.
ISBN: 9780549889359Subjects--Topical Terms:
534748
Public health.
Subjects--Index Terms:
Craving
The relationship between motivation, Maslow's hierarchy of needs, time, and craving levels in the mandated substance abuse treatment population.
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Substance abuse is a serious concern that has been found to raise societal costs (Catford, 2001; Chaiken & Chaiken, 1990; French et al., 1996; Harwood, Fountain, & Livermore, 1998; Hearndon & Harocopos, 1999; MacCoun & Reuter, 2001; Oltmanns & Emery, 1999; U.S. Department of Justice, 2000). In 2001, the Substance Abuse and Crime Prevention Act was passed allowing for nonviolent substance abuse offenders to bypass incarceration and enroll in mandated treatment. There is little research on Proposition 36 clients; however, the goal for treatment is to reduce the vii number of nonviolent offenders in prison and to help reduce recidivism (California Proposition, 36, 2000). Research has also suggested that motivation, time in treatment, and the extent to which one's needs are met can help predict craving levels, which have been suggested to help predict treatment dropout (Ball, Carroll, Canning-Ball, & Rousanville, 2005; Brecht, Anglin, & Wang, 1993; Hartz, Frederick-Osborn, & Galloway, 2001; Jones, 2004; Klag, O'Callaghan, & Creed, 2005; Maslow, 1954, 1970; Ryan, Plant, & O'Malley, 1995). Three measures were employed in this study: a demographic questionnaire, measurements of participant's motivation, caving levels, and current needs met. A total of 70 participants' data were used. A multiple regression attempted to determine which predictor variable (time in treatment, external and internal motivation, and needs met) was the best predictor of craving levels. Results suggested that external motivation and having needs met were the best predictors of increased craving levels. These individuals may benefit from more interpersonal therapy, which may help to increase their internal motivation by building self-esteem and gaining insight to their addictions. Three independent t tests were run to determine significance between length of time in treatment and needs met; however, results were not significant. Additionally, five post hoc analyses were completed using demographic data and craving or motivation levels; however, none yielded significance. Future research is needed in this area, especially comparing Proposition 36 to Drug Court clientele to determine if one treatment program is more effective, potentially adding to the need for more evidence-based programming.
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