The research article I chose shows how mode deactivation therapy (MDT), a type of cognitive behavioral therapy (CBT), reduces juvenile recidivism and is more effective than non-behaviorally based residential programs (Thoder & Cautilli, 2012). Mode deactivation therapy identifies personality characteristics that lead to criminal behavior. Once these characteristics have been identified, it allows the therapist to utilize imagery and relaxation techniques to address the negative personality traits. To prove the effectiveness of mode deactivation therapy, 39 high risk adjudicated males between the age range of 14-17 received this type of therapy. Utilizing descriptive statistics, several personality assessments were used to measure the outcome
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All three categories showed a significant decline in the mean and standard deviation indicating that a higher average of participants improved in these categories during the 12 months. Ordinal variables are often used in social and behavioral research, and the data obtained in this research yielded fully ordered ordinal data (Flora & Curran, 2004; Thoder & Cautilli, 2012). The variance and standard deviation is the most appropriate measure of dispersion when working with interval, ratio, and fully ordered ordinal data (Walker, 2009). Because the variance and standard deviation are derived from calculations using the mean, the mean is used in this research as a measure of central tendency. Over the course of this one-year study, the mean for the CBCL category of internalizing behaviors that measure withdrawn went from 63 to 53, externalizing problems went from a 63 to a 42, and the total score went from a 63 to 47 (Thoder & Cautilli,
All three categories showed a significant decline in the mean and standard deviation indicating that a higher average of participants improved in these categories during the 12 months. Ordinal variables are often used in social and behavioral research, and the data obtained in this research yielded fully ordered ordinal data (Flora & Curran, 2004; Thoder & Cautilli, 2012). The variance and standard deviation is the most appropriate measure of dispersion when working with interval, ratio, and fully ordered ordinal data (Walker, 2009). Because the variance and standard deviation are derived from calculations using the mean, the mean is used in this research as a measure of central tendency. Over the course of this one-year study, the mean for the CBCL category of internalizing behaviors that measure withdrawn went from 63 to 53, externalizing problems went from a 63 to a 42, and the total score went from a 63 to 47 (Thoder & Cautilli,