THE PREDICTION OF DRUG-USE AMONG COLLEGE-STUDENTS FROM MMPI, MCMI, AND SENSATION SEEKING SCALES

THE PREDICTION OF DRUG-USE AMONG COLLEGE-STUDENTS FROM MMPI, MCMI, AND SENSATION SEEKING SCALES
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DOI:
10.1207/s15327752jpa5102_8
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发表时间:
1987-06-01
影响因子:
3.4
通讯作者:
ARCHER, RP
ARCHER, RP
中科院分区:
心理学3区
文献类型:
--
作者:
JAFFE, LT;ARCHER, RP

文献摘要

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本研究考察了五种自我报告评估方法对大学生12种药物类别药物使用的预测能力。研究对象为125名女大学生和61名男大学生。测试单元包括以下工具:(a)明尼苏达多相人格量表(MMPI)的精神变态偏差(Pd)量表;(b) MacAndrew酒精中毒量表(MAC),这是MMPI的一个特殊量表;(c)感觉寻求量表(SSS);(d)百万酗酒量表;(e)百万药物滥用量表。这些工具的得分被线性组合用于预测个人药物使用结果以及多种药物与单一药物使用模式。本次调查的毒品类别包括咖啡、烟草、酒精、大麻、镇定剂、抑制剂、安非他明、LSD、其他致幻剂、溶剂、麻醉剂和可卡因。结果显示预测因子与大学生吸毒水平之间存在显著相关。由线性判别函数分析得出的加权方程一般能够准确地对受试者的药物使用水平进行跨药物类别的分类,并区分单一药物使用和多种药物使用模式。一般来说,感觉寻求量表是药物使用和滥用的最有力的预测指标。
This study examines the ability of five self-report assessment measures to predict college students'' drug use across 12 pharmacological drug categories. Subjects were 125 female and 61 male university undergraduate students. The test battery included the following instruments: (a) the Psychopathic Deviancy (Pd) scale of the Minnesota Multiphasic Personality Inventory (MMPI); (b) the MacAndrew Alcoholism scale (MAC), a special scale of the MMPI; (c) the Sensation Seeking Scale (SSS); (d) the Million Alcohol Abuse Scale; and (e) the Millon Drug Abuse Scale. Scores from these instruments were utilized in linear combinations to predict individual drug use outcomes as well as polydrug versus single drug use patterns. The drug categories included in this investigation are coffee, tobacco, alcohol, marijana, tranquilizers, depressants, amphetamines, LSD, other hallucinogens, solvents, narcotics, and cocaine. Results demonstrate significant and meaningful relationship between predictors and drug use levels among college students. Weighted equations derived from linear discriminant function analyses were generally capable of accurately classifying subject''s drug use levels across drug categories and in discriminating single drug use from polydrug use patterns. Typically, the Sensation Seeking Scale entered as the most powerful predictor of substance use and abuse.