| Literature DB >> 34870777 |
Abstract
The current study was designed to show the differentiation of narrative styles in individuals with high scores in Psychopathic deviate (Pd) scale and develop a method enabling identification of psychopathic personality traits based on linguistic indicators. 600 spontaneous narrations related to emotional topics have been examined for grammar, syntactic, and lexical indicators. The indicators have been selected based on a review related to language of psychopaths. The narrations were written by 200 persons who were also tested for psychopathic deviate and intelligence level, including prisoners diagnosed with antisocial personality disorder. Independent judges identified the linguistic indicators which were then counted for each person with the use of computer software. The configuration profiles of the linguistic indicators/narrative styles were established using k-mean clustering method. Then, ANOVA was performed to show which clusters differentiate the levels of psychopathic deviate. The findings show there are two configurations of language features (important: single features were not examined) associated with high levels of psychopathic deviate patterns. Two narrative styles were identified, labelled demonstrative-digressive-egocentric-emotional-dogmatic and reserved-focused on the topic-repetitive, which indicate high psychopathic deviate traits. The ROC curves were applied to establish the prediction of the narrative styles for high psychopathic deviate scores.Entities:
Keywords: Assessment; Linguistic material, discourse styles; Narratives; Psychopathic deviate traits
Mesh:
Year: 2021 PMID: 34870777 PMCID: PMC8930938 DOI: 10.1007/s10936-021-09824-w
Source DB: PubMed Journal: J Psycholinguist Res ISSN: 0090-6905
Comparisons between the groups
| Variables | Prisoners with high Pd | Prisoners with | Non-prisoners | |
|---|---|---|---|---|
| Age | 35.5 (11.00) | 34.2 (10.00) | 33.5 (9.80) | 1.45 |
| Education | 10.27 (1.80) | 10.40 (1.50) | 10.44 (1.50) | 0.66 |
| Vocabulary | 43.95 (8.00) | 45.01 (7.00) | 45.15 (7.00) | 1.04 |
| Pd | 80.98 (5.03) | 44.94 (10.44) | 30.73 (2.14) | 232.77*** |
| Length PN | 35.90 (6.68) | 19.65 (5.04) | 18.64 (2.32) | 14.04*** |
| Length NN-H | 33.29 (4.40) | 18.75 (3.31) | 18.74 (9.03) | 14.16*** |
| Length NN-A | 28.18 (6.78) | 16.81 (3.74) | 15.87 (3.14) | 16.56*** |
M mean, SD standard deviation, Pd Psychopathic deviate scales T scores, PN length of the positive stories, NN-H length of the negative stories about hate, NN-A length of the negative stories about anxiety
***p < 0.001
Final cluster centers
| Linguistic indicators | Cluster | |||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | |
| n = 12 | n = 13 | n = 50 | n = 14 | n = 85 | n = 26 | |
| P. emotion words | 11.50 | 17.33Φ | 6.98 | 10.79 | 3.54 | 11.83 |
| P. nouns | 3.50 | 5.33Φ | 1.72 | 2.43 | 1.02 | 4.17Φ |
| P. verbs | 1.50 | 8.00Φ | 2.32 | 4.21 | 0.83 | 4.00Φ |
| P. off-topic | 0.00 | 4.00Φ | 0.22 | 1.29 | 0.12 | 1.00Φ |
| P. pauses | 0.50 | 2.33Φ | 1.00 | 1.14 | 0.37 | 1.00 |
| P. repetitions | 2.00 | 6.00 | 2.72 | 5.36 | 0.59 | 7.00Φ |
| P. negations | 0.00 | 3.67Φ | 0.48 | 0.79 | 0.14 | 1.17 |
| P. self | 1.50 | 10.67Φ | 3.16 | 7.29 | 1.42 | 7.67 |
| P. categorical | 1.00 | 1.33Φ | 0.48 | 1.14 | 0.24 | 1.33Φ |
| N. emotion words | 23.00 | 13.67Φ | 6.52 | 7.36 | 3.46 | 9.50 |
| N. nouns | 6.50 | 5.33 | 2.44 | 2.36 | 1.07 | 4.17 |
| N. verbs | 10.50 | 6.00 | 2.46 | 3.21 | 1.49 | 3.33 |
| N. off-topic | 0.00 | 1.00Φ | 0.50 | 0.57 | 0.14 | 0.50Φ |
| N. pauses | 1.50 | 1.33 | 0.74 | 1.00 | 0.62 | 1.00 |
| N. repetitions | 7.00 | 2.67 | 1.94 | 1.86 | 0.48 | 1.67 |
| N. negations | 4.50 | 4.33Φ | 1.36 | 2.00 | 0.72 | 3.67 |
| N. self | 10.50 | 10.67Φ | 2.56 | 4.00 | 1.26 | 4.00 |
| N. categorical | 2.00 | 1.33 | 0.74 | 1.57 | 0.30 | 1.50 |
| A: emotion words | 10.00 | 6.33 | 6.52 | 8.29 | 3.02 | 6.67 |
| A. nouns | 3.00 | 1.00Φ | 1.86 | 2.36 | 0.80 | 1.00Φ |
| A. verbs | 6.00 | 2.33 | 2.68 | 3.21 | 0.98 | 2.67 |
| A. off-topic | 1.00 | 1.67 | 0.62 | 0.43 | 0.22 | 1.67 |
| A. pauses | 0.50 | 1.00 | 0.86 | 0.79 | 0.27 | 1.33 |
| A. repetitions | 4.00 | 3.00 | 2.16 | 2.57 | 0.42 | 4.00Φ |
| A. negations | 1.50 | 3.00Φ | 1.40 | 1.50 | 0.75 | 1.67 |
| A. self | 6.00 | 6.00Φ | 3.20 | 5.50 | 1.42 | 5.33 |
| A. categorical | 1.50 | 1.67Φ | 0.56 | 0.86 | 0.23 | 1.17 |
| Evaluation | 4.00 | 3.67Φ | 1.30 | 1.79 | 1.04 | 1.83 |
| Story length | 30.00 | 115.33Φ | 31.92 | 57.71 | 32.45 | 87.33Φ |
P. positive situation, N. negative situation, A. anxiety situation
Φp<0.001
Distances between final cluster centers
| Final cluster | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| 1 | 87.43 | 22.93 | 34.95 | 33.71 | 60.63 | |
| 2 | 87.43 | 85.77 | 59.44 | 106.14 | 30.55 | |
| 3 | 22.93 | 85.77 | 26.76 | 20.91 | 56.18 | |
| 4 | 34.95 | 59.44 | 26.76 | 47.36 | 30.02 | |
| 5 | 33.71 | 106.14 | 20.91 | 47.36 | 76.53 | |
| 6 | 60.63 | 30.55 | 56.18 | 30.02 | 76.53 |
Multiple comparisons of Pd scores between final cluster centers
| Scheffe test | ||||||
|---|---|---|---|---|---|---|
| (I) Cluster number of case | (J) Cluster number of case | Mean difference (I–J) | 95% Confidence interval | |||
| Lower bound | Upper bound | |||||
| 1 | 2 | − 35.83 | 14.23 | 0.28 | − 83.69 | 12.02 |
| 3 | − 8.28 | 11.24 | 0.99 | − 46.08 | 29.52 | |
| 4 | − 13.92 | 11.78 | 0.92 | − 53.56 | 25.70 | |
| 5 | − 1.29 | 11.11 | 1.00 | − 38.66 | 36.07 | |
| 6 | −24.33 | 12.73 | 0.60 | − 67.14 | 18.47 | |
| 2 | 1 | 35.83 | 14.23 | 0.28 | − 12.02 | 83.69 |
| 3 | 27.55 | 9.26 | 0.12 | − 3.61 | 58.71 | |
| 4 | 21.90 | 9.92 | 0.43 | − 11.45 | 55.26 | |
| 5 | 34.54 | 9.11 | 0.01** | 3.90 | 65.17 | |
| 6 | 11.50 | 11.02 | 0.95 | − 25.57 | 48.57 | |
| 3 | 1 | 8.28 | 11.24 | 0.99 | − 29.52 | 46.08 |
| 2 | − 27.55 | 9.26 | 0.12 | − 58.71 | 3.61 | |
| 4 | − 5.64 | 4.71 | 0.92 | − 21.50 | 10.20 | |
| 5 | 6.98 | 2.60 | 0.21 | − 1.78 | 15.76 | |
| 6 | − 16.05 | 6.73 | 0.34 | − 38.70 | 6.59 | |
| 4 | 1 | 13.92 | 11.78 | 0.92 | − 25.70 | 53.56 |
| 2 | − 21.90 | 9.92 | 0.43 | − 55.26 | 11.45 | |
| 3 | 5.64 | 4.71 | 0.92 | − 10.20 | 21.50 | |
| 5 | 12.63 | 4.39 | 0.14 | − 2.13 | 27.41 | |
| 6 | − 10.40 | 7.60 | 0.86 | − 35.98 | 15.17 | |
| 5 | 1 | 1.29 | 11.11 | 1.00 | − 36.07 | 38.66 |
| 2 | − 34.54 | 9.11 | 0.01** | − 65.17 | − 3.90 | |
| 3 | − 6.98 | 2.60 | 0.21 | − 15.76 | 1.78 | |
| 4 | − 12.63 | 4.39 | 0.14 | − 27.41 | 2.13 | |
| 6 | − 23.04 | 6.51 | 0.03* | − 44.95 | − 1.12 | |
| 6 | 1 | 24.33 | 12.73 | 0.60 | − 18.47 | 67.14 |
| 2 | − 11.50 | 11.02 | 0.95 | − 48.57 | 25.57 | |
| 3 | 16.05 | 6.73 | 0.34 | − 6.59 | 38.70 | |
| 4 | 10.40 | 7.60 | 0.86 | − 15.17 | 35.98 | |
| 5 | 23.04 | 6.51 | 0.03* | 1.12 | 44.95 | |
SE standard error
**p < 0.01, *p < 0.05
Fig. 1Means plot: final cluster centers in relation to Psychopathic deviate
Fig. 2The ROC curves for Cluster no 2 and no 6: sensitivity, specificity
Fig. 3The ROC curves for Cluster no 2 and no 6: precision
Fig. 4The ROC curves: overall model quality
The ROC curves analysis
| Variables | AUR | SE | CFI 95% | Gini Index | Cutoff | ||
|---|---|---|---|---|---|---|---|
| Lower bound | Upper bound | ||||||
| Cluster 2 | 0.740 | 0.036 | 0.000 | 0.670 | 0.810 | 0.479 | 74.5 |
| Cluster 6 | 0.714 | 0.037 | 0.000 | 0.641 | 0.787 | 0.427 | 81.5 |
AUR area under the ROC curve, SE standard error