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Protecting Alabama Students from Alcohol and Drugs: A Multi-Level Modeling Approach |
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Abstract:
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This research examines both risk and protective factors in the frequency of drug and alcohol use by Alabama public-school students in grades six through twelve. Factors are measured at the individual level and at the county level. The data on both levels were obtained by the Substance Abuse Services Division of the Alabama Department of Mental Health and Mental Retardation. The results of data analysis—comprising hierarchical linear modeling techniques (HLM)—show that, overall, the individual protective factors do reduce student use of alcohol and drugs, controlling for certain risk factors. The county-level structural-disadvantage factor, however, operates in a direction opposite to expectation. According to results, structural disadvantage reduces rather than increases student use of all drugs. The implications of the important role structural variables play in individual drug use are discussed. |
Most Common Document Word Stems:
use (149), factor (99), level (81), protect (81), drug (80), structur (67), disadvantag (63), student (60), variabl (51), counti (50), individu (40), studi (40), role (37), alcohol (36), social (34), alabama (33), frequenc (33), marijuana (31), model (31), lifetim (30), measur (30), |
Author's Keywords:
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risk and protective factors, drug and alcohol use, structural-disadvantage factor, hierarchical linear modeling |
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Association:
Name: American Sociological Association URL: http://www.asanet.org
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Citation:
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MLA Citation:
| Lo, Celia. and Anderson, Anita. "Protecting Alabama Students from Alcohol and Drugs: A Multi-Level Modeling Approach" Paper presented at the annual meeting of the American Sociological Association, Montreal Convention Center, Montreal, Quebec, Canada, Aug 11, 2006 <Not Available>. 2009-05-25 <http://www.allacademic.com/meta/p101471_index.html> |
APA Citation:
| Lo, C. C. and Anderson, A. S. , 2006-08-11 "Protecting Alabama Students from Alcohol and Drugs: A Multi-Level Modeling Approach" Paper presented at the annual meeting of the American Sociological Association, Montreal Convention Center, Montreal, Quebec, Canada Online <PDF>. 2009-05-25 from http://www.allacademic.com/meta/p101471_index.html |
Publication Type: Conference Paper/Unpublished Manuscript Abstract: This research examines both risk and protective factors in the frequency of drug and alcohol use by Alabama public-school students in grades six through twelve. Factors are measured at the individual level and at the county level. The data on both levels were obtained by the Substance Abuse Services Division of the Alabama Department of Mental Health and Mental Retardation. The results of data analysis—comprising hierarchical linear modeling techniques (HLM)—show that, overall, the individual protective factors do reduce student use of alcohol and drugs, controlling for certain risk factors. The county-level structural-disadvantage factor, however, operates in a direction opposite to expectation. According to results, structural disadvantage reduces rather than increases student use of all drugs. The implications of the important role structural variables play in individual drug use are discussed. |
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| Document Type: |
PDF |
| Page count: |
17 |
| Word count: |
6126 |
| Text sample: |
| Running head: Protecting Alabama Students from Alcohol and Drugs Protecting Alabama Students from Alcohol and Drugs: A Multi-Level Modeling Approach By Celia C. Lo and Anita S. Anderson Department of Criminal Justice The University of Alabama Direct all correspondence to Celia C. Lo University of Alabama Department of Criminal Justice Box 870320 Tuscaloosa AL 35487-0320. _______________________________ Protecting Alabama Students from Alcohol and Drugs: A Multi-Level Modeling Approach Abstract This research examines both risk and protective factors in the frequency |
| their domicile in 2000. However using the standard principal components method we found that two components could be extracted. One of them explained the seven structural-disadvantage variables; but residential instability itself was found to be part of that second extracted component. Theoretically residential instability is an indicator of structural disadvantage. For purposes of parsimony during this study we developed another index DISADVR includes all eight structural-disadvantage variables. The DISADVR index is slightly less reliable than the DISADV index (the |
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