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Interpersonal problem type, gender, and outcome in psychotherapy

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This study examined the relationship that gender in interaction with interpersonal problem type has with outcome in psychotherapy. A sample of 200 individuals, who sought psychotherapy at a counselor training facility, completed the Outcome Questionnaire-45(OQ-45) and the reduced version of the Inventory of Interpersonal Problems (IIP-32). This study was aimed…

This study examined the relationship that gender in interaction with interpersonal problem type has with outcome in psychotherapy. A sample of 200 individuals, who sought psychotherapy at a counselor training facility, completed the Outcome Questionnaire-45(OQ-45) and the reduced version of the Inventory of Interpersonal Problems (IIP-32). This study was aimed at examining whether gender (male and female), was related to treatment outcome, and whether this relationship was moderated by two interpersonal distress dimensions: dominance and affiliation. A hierarchical regression analyses was performed and indicated that gender did not predict psychotherapy treatment outcome, and neither dominance nor affiliation were moderators of the relationship between gender and outcome in psychotherapy.
ContributorsHoffmann, Nicole (Author) / Tracey, Terence (Thesis advisor) / Kinnier, Richard (Committee member) / Homer, Judith (Committee member) / Arizona State University (Publisher)
Created2013
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Using Logistic Regression to Predict Stock Trends Based on Bag-of-Words Representations of News Article Headlines

Description

We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones…

We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones Industrial Average. The results showed that a tri-gram bag led to a 49% trend accuracy, a 1% increase when compared to the single-gram representation’s accuracy of 48%.
ContributorsBarolli, Adeiron (Author) / Jimenez Arista, Laura (Thesis director) / Wilson, Jeffrey (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05

Mind and Body: Psychedelic Assisted Psychotherapy

Description

Psychedelics have sparked widespread interest as they offer a potential new form of therapeutic treatment. This thesis paper explores the current and upcoming psychedelics that are being researched for their use in a therapeutic setting. The main substances discussed are lysergic acid diethylamide (LSD), methylenedioxymethamphetamine (ecstasy/molly/MDMA), and ketamine (esketamine). This…

Psychedelics have sparked widespread interest as they offer a potential new form of therapeutic treatment. This thesis paper explores the current and upcoming psychedelics that are being researched for their use in a therapeutic setting. The main substances discussed are lysergic acid diethylamide (LSD), methylenedioxymethamphetamine (ecstasy/molly/MDMA), and ketamine (esketamine). This paper also discusses the mechanism of action for each drug and the underlying research that has been found to support the ethical use of these substances alongside talk therapy
ContributorsPiemont, Sabrina (Author) / Jimenez Arista, Laura (Thesis director) / Ocampo Hoogasian, Rachel (Committee member) / Barrett, The Honors College (Contributor) / College of Integrative Sciences and Arts (Contributor)
Created2023-05