Conversation#

Data from an experiment performed on American college students. Students were observed conversing for 10 minutes and summary data was recorded of the conversational dynamics. Pictures of the students were then rated by observers for personality characteristics. The Levenson Self-Report Psychopathy Scale is used to assess subclinical psychopathy of the students, and the students were also subjected to a prisoners’ dilemma.

This data is the combination of the data sets from two papers. For ease of use in classroom setting, median_income was imputed for students with missing data. This imputation is strictly for pedagogy. From the authors: “The determinants of conversational dominance are not well understood. We used videotaped triadic interactions among unacquainted same-sex American college students to test predictions drawn from the theoretical distinction between dominance and prestige as modes of human status competition.” From the authors’ second paper: “Recent evidence suggests that psychopathy is a trait continuum. To test this, we focus on a ubiquitous real-life source of conditional behaviour: the expected relational value of social partners, both in terms of their quality and the likely quantity of future interactions with them.”

Initialization#

library(fosdata)
data <- fosdata::conversation

Accessing fields#

data <- fosdata::conversation
dyad_status_difference <- data$dyad_status_difference # Just a random field in the dataset

Interactive R Sample#

You can use the R editor below to interactively explore the dataset and generate plots. This contains a fully self-contained R environment with fosdata, ggplot2, and dplyr loaded.

webR + fosdata Test

Console
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      scatterplot
    

  



LLM instructions#


If using an LLM, you can copy-paste the following instructions to accompany your prompt to inform the model of the fields and their types in the dataset.


LLM Instructions


The fosdata::conversation dataset containing the following fields:

fields[28]{name,type,values}:
  gender,numeric,n/a
  f1_psychopathy,numeric,n/a
  f2_psychopathy,numeric,n/a
  total_psychopathy,numeric,n/a
  attractiveness,numeric,n/a
  fighting_ability,numeric,n/a
  strength,numeric,n/a
  height,numeric,n/a
  median_income,numeric,n/a
  oldest,character,[no,yes]
  highest_class_rank,numeric,n/a
  major_presige,numeric,n/a
  dyad_status_difference,numeric,n/a
  proportion_words,numeric,n/a
  proportion_sequence_starts,numeric,n/a
  interruptions_per_min,numeric,n/a
  sequence_starts_per_word_x100,numeric,n/a
  interruptions_per_word_x100,numeric,n/a
  affect_words,numeric,n/a
  indiv_1,numeric,n/a
  indiv_2,numeric,n/a
  camera,integer,n/a
  indiv_1_interrupts_indiv_2,numeric,n/a
  indiv_2_interrupts_indiv_1,numeric,n/a
  indiv_1_pd_indiv_2,integer,n/a
  indiv_2_pd_indiv_1,integer,n/a
  indiv_1_predicts_indiv_2,integer,n/a
  indiv_2_predicts_indiv_1,integer,n/a


Fields#



  
      

          Name
          Description
          Type
          Min
          Max
          Values
      

  
  
      

          gender
          1 = female; 0 = male
          numeric
          -
          1
          -
      

      

          f1_psychopathy
          individual 1’s standardized score on factor 1 of LSRP
          numeric
          -1.89
          3.23
          -
      

      

          f2_psychopathy
          individual 1’s standardized score on factor 2 of LSRP
          numeric
          -2.12
          3.24
          -
      

      

          total_psychopathy
          individual 1’s standardized score on full LSRP
          numeric
          -2.13
          2.91
          -
      

      

          attractiveness
          individual 1’s facial attractiveness, standardized (M = 0, SD = 1) separately for males and females
          numeric
          -1.78
          2.32
          -
      

      

          fighting_ability
          student rating of fighting ability from pictures
          numeric
          -2.29
          2.87
          -
      

      

          strength
          student rating of strength from pictures
          numeric
          -1.97
          2.81
          -
      

      

          height
          standardized height score - standardization separate for each gender
          numeric
          -1.77
          2.27
          -
      

      

          median_income
          in childhood zip code, in 1000s USD (individual 1)
          numeric
          26.9
          138.2
          -
      

      

          oldest
          Not described in paper
          character
          -
          -
          no, yes
      

      

          highest_class_rank
          Not described in paper
          numeric
          -
          1
          -
      

      

          major_presige
          perceived prestige of self-reported academic major
          numeric
          3
          38
          -
      

      

          dyad_status_difference
          Not described in paper
          numeric
          -2
          2
          -
      

      

          proportion_words
          an individual’s proportion of the triad’s words uttered
          numeric
          0.06
          0.77
          -
      

      

          proportion_sequence_starts
          proportion of the triad’s sequence starts performed, hereafter proportion of sequence starts (sequential dominance)
          numeric
          -
          0.8
          -
      

      

          interruptions_per_min
          interruptions performed per transcribed minute (participatory dominance)
          numeric
          0.001
          3.982
          -
      

      

          sequence_starts_per_word_x100
          undefined
          numeric
          -
          6.19
          -
      

      

          interruptions_per_word_x100
          undefined
          numeric
          0.001
          5.74
          -
      

      

          affect_words
          frequency of affect words as described by the Linguistic Inquiry and Word Count (LIWC) 2007 program dictionary
          numeric
          1.5
          14.18
          -
      

      

          indiv_1
          id of individual 1
          numeric
          13212001
          92197600
          -
      

      

          indiv_2
          id of individual 2
          numeric
          13212001
          92197600
          -
      

      

          camera
          1 = facing the camera; 0 = not facing the camera (individual 1) during prisoner’s dilemma
          integer
          -
          1
          -
      

      

          indiv_1_interrupts_indiv_2
          interruptions by individual 1 of individual 2 per minute of transcribed conversation
          numeric
          -
          2.65
          -
      

      

          indiv_2_interrupts_indiv_1
          interruptions by individual 2 of individual 1 per minute of transcribed conversation
          numeric
          -
          2.65
          -
      

      

          indiv_1_pd_indiv_2
          Individual 1 decision toward individual 2 in PDG; 1 = individual 1 cooperates toward individual 2 in Prisoner’s Dilemma; 0 = individual 1 defects toward individual 2
          integer
          -
          1
          -
      

      

          indiv_2_pd_indiv_1
          Individual 2 decision toward individual 1 in PDG; 1 = individual 2 cooperates toward individual 1 in Prisoner’s Dilemma: 0 = individual 2 defects toward individual 1
          integer
          -
          1
          -
      

      

          indiv_1_predicts_indiv_2
          1 = individual 1 predicts that individual 2 cooperates toward individual 1; 0 = individual 1 predicts that individual 2 defects toward individual 1
          integer
          -
          1
          -
      

      

          indiv_2_predicts_indiv_1
          1 = individual 2 predicts that individual 1 cooperates toward individual 2; 0 = individual 2 predicts that individual 1 defects toward individual 2
          integer
          -
          1
          -
      

  



Source#


Manson JH, Gervais MM, Fessler DMT, Kline MA (2014) Subclinical Primary Psychopathy, but Not Physical Formidability or Attractiveness, Predicts Conversational Dominance in a Zero-Acquaintance Situation. PLoS ONE 9(11): e113135. Gervais Matthew M., Kline Michelle, Ludmer Mara, George Rachel and Manson Joseph H. 2013The strategy of psychopathy: primary psychopathic traits predict defection on low-value relationshipsProc. R. Soc. B.28020122773 https://escholarship.org/uc/item/2bx584t4 https://datadryad.org/stash/dataset/doi:10.5061/dryad.848cc



 
      

      

        
  





















  
  
  
  

    
    
      
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