Abstract
Problem statement: Understanding the personality traits among women who are involved in drug addiction is a crucial issue prior to starting any intervention programs. It may provide an indication of their readiness to receive treatment and change this addictive behavior. This study was conducted to examine the predictive relationship between personality traits and readiness to change among women drug addicts in Malaysia. Approach: The study employed survey research involving the administration of two standardized psychological tests which were the Eysenck Personality Questionnaire Revised Short Version (EPQ-RS) and the Stages of Change Readiness and Treatment Eagerness Scale (SOCRATES). A total of 109 female drug addicts who were undergoing drug treatment in a female rehabilitation center in Malaysia participated in this study. Data were analyzed using Pearson correlation and multiple regression analysis. Results: The current study shows that there were significant correlations between the traits of extraversion, neuroticism and psychoticism with all the three stages of readiness to change. The study also demonstrated that high extraversion and neuroticism traits significantly predicted the recognition subscale. Conclusion: Being high on neuroticism and low in psychoticism traits significantly predicted the respondents to be ambivalence about changing their addictive behaviors. Likewise, being high on extraversion and neuroticism as well as low on psychoticism significantly predicted the taking steps subscale.
| Original language | English |
|---|---|
| Pages (from-to) | 134-140 |
| Number of pages | 7 |
| Journal | American Journal of Applied Sciences |
| Volume | 8 |
| Issue number | 2 |
| Publication status | Published - 2011 |
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Keywords
- Addictive behavior
- Drug addiction
- Neuroticism traits
- Personality traits
- Readiness to change
- Regression analysis
- Significant correlations
ASJC Scopus subject areas
- General
Cite this
Personality traits as predictors towards readiness to change among female drug addicts. / Wan Sulaiman, Wan Shahrazad; Lukman, Z. M.; Ab. Rahman, Roseliza Murni; Ahmad Zamani, Zainah; Ibrahim, Fauziah; Arifin, Zamri.
In: American Journal of Applied Sciences, Vol. 8, No. 2, 2011, p. 134-140.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Personality traits as predictors towards readiness to change among female drug addicts
AU - Wan Sulaiman, Wan Shahrazad
AU - Lukman, Z. M.
AU - Ab. Rahman, Roseliza Murni
AU - Ahmad Zamani, Zainah
AU - Ibrahim, Fauziah
AU - Arifin, Zamri
PY - 2011
Y1 - 2011
N2 - Problem statement: Understanding the personality traits among women who are involved in drug addiction is a crucial issue prior to starting any intervention programs. It may provide an indication of their readiness to receive treatment and change this addictive behavior. This study was conducted to examine the predictive relationship between personality traits and readiness to change among women drug addicts in Malaysia. Approach: The study employed survey research involving the administration of two standardized psychological tests which were the Eysenck Personality Questionnaire Revised Short Version (EPQ-RS) and the Stages of Change Readiness and Treatment Eagerness Scale (SOCRATES). A total of 109 female drug addicts who were undergoing drug treatment in a female rehabilitation center in Malaysia participated in this study. Data were analyzed using Pearson correlation and multiple regression analysis. Results: The current study shows that there were significant correlations between the traits of extraversion, neuroticism and psychoticism with all the three stages of readiness to change. The study also demonstrated that high extraversion and neuroticism traits significantly predicted the recognition subscale. Conclusion: Being high on neuroticism and low in psychoticism traits significantly predicted the respondents to be ambivalence about changing their addictive behaviors. Likewise, being high on extraversion and neuroticism as well as low on psychoticism significantly predicted the taking steps subscale.
AB - Problem statement: Understanding the personality traits among women who are involved in drug addiction is a crucial issue prior to starting any intervention programs. It may provide an indication of their readiness to receive treatment and change this addictive behavior. This study was conducted to examine the predictive relationship between personality traits and readiness to change among women drug addicts in Malaysia. Approach: The study employed survey research involving the administration of two standardized psychological tests which were the Eysenck Personality Questionnaire Revised Short Version (EPQ-RS) and the Stages of Change Readiness and Treatment Eagerness Scale (SOCRATES). A total of 109 female drug addicts who were undergoing drug treatment in a female rehabilitation center in Malaysia participated in this study. Data were analyzed using Pearson correlation and multiple regression analysis. Results: The current study shows that there were significant correlations between the traits of extraversion, neuroticism and psychoticism with all the three stages of readiness to change. The study also demonstrated that high extraversion and neuroticism traits significantly predicted the recognition subscale. Conclusion: Being high on neuroticism and low in psychoticism traits significantly predicted the respondents to be ambivalence about changing their addictive behaviors. Likewise, being high on extraversion and neuroticism as well as low on psychoticism significantly predicted the taking steps subscale.
KW - Addictive behavior
KW - Drug addiction
KW - Neuroticism traits
KW - Personality traits
KW - Readiness to change
KW - Regression analysis
KW - Significant correlations
UR - http://www.scopus.com/inward/record.url?scp=79952515381&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952515381&partnerID=8YFLogxK
M3 - Article
VL - 8
SP - 134
EP - 140
JO - American Journal of Applied Sciences
JF - American Journal of Applied Sciences
SN - 1546-9239
IS - 2
ER -