Problem
Antisocial behaviors in the general population are not well understood and little studied, however, their acceptance is becoming more normalized and accepted by society. This present study intended to focus on the contributing factors of emotional intelligence and decision-making to the presence of antisocial behaviors, and how these contributions vary by gender.
Method
This study used the Levenson Self-Report Psychopathy Scale, the Trait Emotional Intelligence Questionnaire – Short Form, and the General Decision Making Style Inventory to explore the relationships between the three variables. A structural equation model was developed to examine the theoretical covariance matrix proposed in comparison to the empirical covariance matrix developed from collected data. Four hundred and thirteen adults in the United States general population were used for this study.
Results
The original structural equation model suggested a poor fit with the collected data. The revised model included additional paths based on theory found in the literature. The revised model showed an excellent fit with the data. A strong correlation between emotional intelligence and decision-making was indicated. Emotional intelligence had a high, significant impact on both Primary and Secondary Psychopathy (SEC). Decision-making had a low, but significant impact on SEC. The adjusted model accounted for 69% of the variance of Primary Psychopathy (PRI) and 68% of variance for SEC. The revised model was also assessed to examine differences between males and females. The revised model achieved an acceptable fit for males, and a superior fit for females, indicating no gender differences for the proposed model.
Conclusions
This hypothesized theoretical model was supported by the findings from this study. The contribution of emotional intelligence and decision-making to antisocial behaviors was validated through statistical significance. Findings indicated some minor variations according to gender. These findings have implications for the field of counseling psychology, as well as society’s understanding and acceptance of antisocial behaviors in the general population.
","abstract_html":"<p>Problem</p> <p>Antisocial behaviors in the general population are not well understood and little studied, however, their acceptance is becoming more normalized and accepted by society. This present study intended to focus on the contributing factors of emotional intelligence and decision-making to the presence of antisocial behaviors, and how these contributions vary by gender.</p> <p>Method</p> <p>This study used the Levenson Self-Report Psychopathy Scale, the Trait Emotional Intelligence Questionnaire – Short Form, and the General Decision Making Style Inventory to explore the relationships between the three variables. A structural equation model was developed to examine the theoretical covariance matrix proposed in comparison to the empirical covariance matrix developed from collected data. Four hundred and thirteen adults in the United States general population were used for this study.</p> <p>Results</p> <p>The original structural equation model suggested a poor fit with the collected data. The revised model included additional paths based on theory found in the literature. The revised model showed an excellent fit with the data. A strong correlation between emotional intelligence and decision-making was indicated. Emotional intelligence had a high, significant impact on both Primary and Secondary Psychopathy (SEC). Decision-making had a low, but significant impact on SEC. The adjusted model accounted for 69% of the variance of Primary Psychopathy (PRI) and 68% of variance for SEC. The revised model was also assessed to examine differences between males and females. The revised model achieved an acceptable fit for males, and a superior fit for females, indicating no gender differences for the proposed model.</p> <p>Conclusions</p> <p>This hypothesized theoretical model was supported by the findings from this study. The contribution of emotional intelligence and decision-making to antisocial behaviors was validated through statistical significance. Findings indicated some minor variations according to gender. These findings have implications for the field of counseling psychology, as well as society’s understanding and acceptance of antisocial behaviors in the general population.</p>","abstract_has_math":false,"creators":["Sample, Melina"],"institution":null,"degree_name":"Doctor of Philosophy","degree_level":"Dissertation","degree_discipline":"Counseling Psychology, Ph.D.","degree_department":null,"school":null,"contributors":["Carole Woolford-Hunt","Elvin Gabriel","Tevni Grajales"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-01-01T08:00:00Z","date_published":"2017-01-01T08:00:00Z","updated_at":"2026-07-24T00:53:14Z","subjects":["Emotional Intelligence","Decision-Making","Antisocial Behavior","Social and Behavioral Sciences"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.andrews.edu/dissertations/1632","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Carole Woolford-Hunt","Elvin Gabriel","Tevni Grajales"]},{"key":"dc:creator","label":"Author","values":["Sample, Melina"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2017-07-13T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Counseling Psychology, Ph.D."]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Emotional Intelligence","Decision-Making","Antisocial Behavior","Social and Behavioral Sciences"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.andrews.edu/dissertations/1632"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Problem
Antisocial behaviors in the general population are not well understood and little studied, however, their acceptance is becoming more normalized and accepted by society. This present study intended to focus on the contributing factors of emotional intelligence and decision-making to the presence of antisocial behaviors, and how these contributions vary by gender.
Method
This study used the Levenson Self-Report Psychopathy Scale, the Trait Emotional Intelligence Questionnaire – Short Form, and the General Decision Making Style Inventory to explore the relationships between the three variables. A structural equation model was developed to examine the theoretical covariance matrix proposed in comparison to the empirical covariance matrix developed from collected data. Four hundred and thirteen adults in the United States general population were used for this study.
Results
The original structural equation model suggested a poor fit with the collected data. The revised model included additional paths based on theory found in the literature. The revised model showed an excellent fit with the data. A strong correlation between emotional intelligence and decision-making was indicated. Emotional intelligence had a high, significant impact on both Primary and Secondary Psychopathy (SEC). Decision-making had a low, but significant impact on SEC. The adjusted model accounted for 69% of the variance of Primary Psychopathy (PRI) and 68% of variance for SEC. The revised model was also assessed to examine differences between males and females. The revised model achieved an acceptable fit for males, and a superior fit for females, indicating no gender differences for the proposed model.
Conclusions
This hypothesized theoretical model was supported by the findings from this study. The contribution of emotional intelligence and decision-making to antisocial behaviors was validated through statistical significance. Findings indicated some minor variations according to gender. These findings have implications for the field of counseling psychology, as well as society’s understanding and acceptance of antisocial behaviors in the general population.
"]},{"key":"dc:title","label":"Title","values":["Emotional Intelligence And Decision-Making As Predictors Of Antisocial Behavior"]}]}],"canonical_facts":{"dc:contributor":["Carole Woolford-Hunt","Elvin Gabriel","Tevni Grajales"],"dc:creator":["Sample, Melina"],"dc:date.available":["2017-07-13T07:00:00Z"],"dc:description.abstract":["Problem
Antisocial behaviors in the general population are not well understood and little studied, however, their acceptance is becoming more normalized and accepted by society. This present study intended to focus on the contributing factors of emotional intelligence and decision-making to the presence of antisocial behaviors, and how these contributions vary by gender.
Method
This study used the Levenson Self-Report Psychopathy Scale, the Trait Emotional Intelligence Questionnaire – Short Form, and the General Decision Making Style Inventory to explore the relationships between the three variables. A structural equation model was developed to examine the theoretical covariance matrix proposed in comparison to the empirical covariance matrix developed from collected data. Four hundred and thirteen adults in the United States general population were used for this study.
Results
The original structural equation model suggested a poor fit with the collected data. The revised model included additional paths based on theory found in the literature. The revised model showed an excellent fit with the data. A strong correlation between emotional intelligence and decision-making was indicated. Emotional intelligence had a high, significant impact on both Primary and Secondary Psychopathy (SEC). Decision-making had a low, but significant impact on SEC. The adjusted model accounted for 69% of the variance of Primary Psychopathy (PRI) and 68% of variance for SEC. The revised model was also assessed to examine differences between males and females. The revised model achieved an acceptable fit for males, and a superior fit for females, indicating no gender differences for the proposed model.
Conclusions
This hypothesized theoretical model was supported by the findings from this study. The contribution of emotional intelligence and decision-making to antisocial behaviors was validated through statistical significance. Findings indicated some minor variations according to gender. These findings have implications for the field of counseling psychology, as well as society’s understanding and acceptance of antisocial behaviors in the general population.
"],"dc:identifier":["https://digitalcommons.andrews.edu/dissertations/1632"],"dc:subject":["Emotional Intelligence","Decision-Making","Antisocial Behavior","Social and Behavioral Sciences"],"dc:title":["Emotional Intelligence And Decision-Making As Predictors Of Antisocial Behavior"],"thesis:degree_discipline":["Counseling Psychology, Ph.D."],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy"]},"updated_at":"2026-07-24T00:53:14Z"}