Dataset: Disentangling Antisocial Personality and Psychopathy: A Behavioral Perspective on Manipulative and Aggressive Tactics

Dataset Structure

• Participant_ID: A unique identifier for each participant.
• Age: Participants’ age, ranging from 18 to 40 years, with an average age of approximately 28.4 years (SD = 6.2).
• Gender: Binary gender categories, Male and Female, with a nearly balanced representation (15 males, 17 females).

• Apathy: Measures emotional indifference toward others’ needs or feelings (scores range: 3.0–5.0).
• Deceitfulness: Indicates tendencies toward dishonesty and manipulation (scores range: 3.0–5.0).
• Impulsivity: Captures spontaneous and often reckless behaviors (scores range: 3.5–5.0).
• Irresponsibility: Reflects a lack of accountability for actions or obligations (scores range: 3.0–5.0).
• Callousness: Assesses a lack of empathy or concern for others (scores range: 3.0–5.0).
• Aggressiveness: Reflects tendencies toward hostility or confrontational behavior (scores range: 3.5–5.0).
• Glibness: Represents superficial charm used to manipulate others (scores range: 3.0–5.0).
• Obtuseness: Measures an inability or unwillingness to learn from mistakes (scores range: 3.0–4.5).

• Lack_of_Empathy: Similar to callousness, reflecting emotional coldness and disinterest in others’ suffering (scores range: 3.5–5.0).
• Impulsive_Behavior: Captures erratic or poorly planned actions (scores range: 3.5–5.0).
• Manipulative_Behavior: Reflects a tendency to exploit or deceive others (scores range: 3.0–5.0).
• Superficial_Charm: Assesses the ability to use charm strategically for personal gain (scores range: 3.0–5.0).
• Aggression: Overlaps with DAPS-24 Aggressiveness but with more emphasis on physical or verbal hostility (scores range: 3.5–5.0).
• Sense_of_Self_Worth: Reflects an inflated self-view or grandiosity (scores range: 3.0–5.0).

Key Characteristics and Insights

1. Population Profile: Participants in this dataset are young adults primarily recruited from university campuses and community organizations. The sample’s balanced gender distribution and age range provide a realistic cross-section of individuals likely to display varying degrees of antisocial and psychopathic traits.
2. Trait Interplay: The dataset captures key behavioral dynamics, such as:
   • High impulsivity correlating with heightened aggression.
   • Glibness paired with manipulative behavior, reflecting strategic use of charm for personal gain.
   • Participants transitioning to aggression when superficial charm fails to yield desired outcomes.
3. Behavioral Variability: Individual scores vary across traits, highlighting the nuanced and multifaceted nature of antisocial and psychopathic behaviors. For example:
   • Some participants exhibit high callousness and lack of empathy but low impulsivity, indicating calculated rather than erratic behaviors.
   • Others score high in impulsivity and irresponsibility, reflecting a more reckless and reactive profile.

Applications

• Analyze Trait Correlations: Explore how traits like impulsivity and manipulativeness interact to predict behavior patterns.
• Develop Behavioral Models: Build predictive models of manipulative and aggressive tactics based on participant profiles.
• Inform Clinical Practices: Guide interventions by identifying key traits associated with antisocial and psychopathic tendencies.

1. Deenz Antisocial Personality Scale (DAPS-24):
   • This scale measures eight facets of antisocial personality traits:
     • Apathy
     • Deceitfulness
     • Impulsivity
     • Irresponsibility
     • Callousness
     • Aggressiveness
     • Glibness (superficial charm)
     • Obtuseness
2. Deenz Psychopathy Spectrum Scale (DPSS-24):
   • This scale assesses six facets associated with psychopathy:
     • Lack of Empathy
     • Impulsive Behavior
     • Manipulative Behavior
     • Superficial Charm
     • Aggression
     • Sense of Self-Worth (grandiosity)