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Journal articles on the topic 'Personality Assessment Inventory'

Author: Grafiati

Published: 4 June 2021

Last updated: 23 February 2023

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1

Main, Chris J., and Chris C. Spanswick. "Personality assessment and the Minnesota multiphasic personality inventory." Pain Forum 4, no. 2 (June 1995): 90–96. http://dx.doi.org/10.1016/s1082-3174(11)80005-x.

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2

Douglas, Kevin S., Stephen D. Hart, and P. Randall Kropp. "Validity of the Personality Assessment Inventory for Forensic Assessments." International Journal of Offender Therapy and Comparative Criminology 45, no. 2 (April 2001): 183–97. http://dx.doi.org/10.1177/0306624x01452005.

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3

Hays, J. Ray. "Note on Concurrent Validation of the Personality Assessment Inventory in Law Enforcement." Psychological Reports 81, no. 1 (August 1997): 244–46. http://dx.doi.org/10.2466/pr0.1997.81.1.244.

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This study compared the Personality Assessment Inventory and MMPI-168 profiles of 9 law enforcement applicants with published MMPI profiles to provide concurrent validation for the use of the Personality Assessment Inventory to assess personality pathology of peace officer applicants. The sample showed subclinical elevations of the Positive Impression and Treatment Rejection scales on the Personality Assessment Inventory and subclinical elevations on the MMPI validity scales of Lie and Correction and the clinical scales of Psychopathic Deviate and Hypomania. The applicants' mean MMPI profile provided concurrent validation for the use of the Personality Assessment Inventory in this decision on fitness to serve.

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4

Burgess, J. Wesley. "The Personality Inventory Scales: A Self-Rating Clinical Instrument for Diagnosis of Personality Disorder." Psychological Reports 69, no. 3_suppl (December 1991): 1235–46. http://dx.doi.org/10.2466/pr0.1991.69.3f.1235.

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A personality inventory was developed as an aid in securing history and beliefs relevant to the assessment of personality structure and the diagnosis of personality disorders. The inventory was developed by restating DSM diagnostic criteria in everyday language, rewording the resulting statements in the form of True/False questions, and placing these questions in a short, self-paced booklet which subjects could complete in about 15 minutes. The following assessments were made and discussed: construct validity, split-half reliability, test-retest reliability, comparison with a standardized interview, and comparison with actual clinical assessments. The personality inventory is discussed as a useful accompaniment to the diagnostic interview in clinical settings and for research into personality structure and personality disorders.

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5

Hopwood, Christopher J., Aidan G. C. Wright, Robert F. Krueger, Nick Schade, Kristian E. Markon, and Leslie C. Morey. "DSM-5 Pathological Personality Traits and the Personality Assessment Inventory." Assessment 20, no. 3 (April 21, 2013): 269–85. http://dx.doi.org/10.1177/1073191113486286.

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6

Costa, Paul T., and Robert R. McCrae. "Normal personality assessment in clinical practice: The NEO Personality Inventory." Psychological Assessment 4, no. 1 (1992): 5–13. http://dx.doi.org/10.1037/1040-3590.4.1.5.

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7

Boyle, Gregory J., James Ward, and Tania J. Lennon. "Personality Assessment Inventory: A Confirmatory Factor Analysis." Perceptual and Motor Skills 79, no. 3_suppl (December 1994): 1441–42. http://dx.doi.org/10.2466/pms.1994.79.3f.1441.

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The Personality Assessment Inventory is a recently constructed multidimensional self-report measure of personality traits. Morey reported the results of a scale factoring, claiming that the instrument measures four separate higher-order dimensions; however, in an independent Australian study of the psychometric properties of the inventory, Boyle and Lennon found five higher-order dimensions, using factor analytic procedures intended to maximize simple structure. The present paper reports the results of a confirmatory factor analysis for the proposed model based on the Australian data. The results indicate that the model does not provide a satisfactory fit, raising questions about the higher-order factor structure.

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8

Cheung, Fanny M., Kwok Leung, Ruth M. Fan, Wei-Zheng Song, Jian-Xin Zhang, and Jian-Ping Zhang. "Development of the Chinese Personality Assessment Inventory." Journal of Cross-Cultural Psychology 27, no. 2 (March 1996): 181–99. http://dx.doi.org/10.1177/0022022196272003.

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9

Patry, Marc W., and Philip R. Magaletta. "Measuring Suicidality Using the Personality Assessment Inventory." Assessment 22, no. 1 (June 19, 2014): 36–45. http://dx.doi.org/10.1177/1073191114539381.

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10

Krug, Samuel E. "Career Assessment and the Adult Personality Inventory." Journal of Career Assessment 3, no. 2 (March 1995): 176–87. http://dx.doi.org/10.1177/106907279500300205.

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11

Opacic, Goran, and Tatjana Mentus. "The assessment of effects of partialling out of socially desirable responding variance on personality traits scores in instructed applicant situations." Psihologija 52, no. 3 (2019): 303–21. http://dx.doi.org/10.2298/psi181007011o.

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The aim of this study was to examine the extent to which the socially desirable responding (SDR) distorts results of HEDONICA personaliy inventory (acronim based on eight dimensions of this inventory: Honesty, Disintegration, Impulsiveness, Openness, Extraversion, Neuroticism, Conscientiousness, and Agreeableness). The inventory HEDONICA was merged with components of the Balanced Inventory of Desirable Responding (BIDR) as a control inventory and was administered to a sample of 227 students under two experimental situations/ contexts, operationalized by two instructions: the standard (S) one (such as ?be honest?) and the ?fake good? (FG) one (such as ?portray yourself in a most positive way?). Comparing scores in S and FG situations by using MANOVA, a clear distortion on all personality traits in socially desirable directions were evidenced. When, however, the BIDR subscales in the FG situation were entered into MANOVA as covariates, differences between personality scores in S and FG sitautions were considerably reduced, and became statistically insignificant on five personality dimensions. When the variance of dimensions of the BIDR inventory was removed from the variance of HEDONICA traits in FG situation, the change between intercorrelations of personality dimensions in S and FG situations did not attain statistical significance. This lead to the conclusion that the SDR bias, if even does affect test results (i.e., enhances scores in FG situation), does not affect the scale structure and predictive validity of the examined personality inventory.

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12

Stein, Randy, and Alexander B. Swan. "Deeply Confusing: Conflating Difficulty With Deep Revelation on Personality Assessment." Social Psychological and Personality Science 10, no. 4 (April 4, 2018): 514–21. http://dx.doi.org/10.1177/1948550618766409.

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The factors that contribute to lay expectations of personality assessments are not well understood. Five studies demonstrate that people conflate difficulty of personality assessment items with revelations of deep insights. As a result, popular yet invalid assessments of personality can be seen as “deeper” than assessments from social and personality psychology. In Study 1, participants evaluated items from a popular personality “type” assessment as more difficult and better at revealing deep insights into personality than Big-Five personality inventory items. Studies 2 and 3 replicate this effect experimentally using a manipulation of assessment items’ difficulty. Studies 4 and 5 show that the same effect also holds for a less direct method of supposed personality assessment (e.g., assessments that ask about which colors are associated with trivial concepts). Moderating factors and the popularity of shoddy personality assessments are discussed.

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13

Philippe Rushton, J., and Paul Irwing. "A General Factor of Personality in the Millon Clinical Multiaxial Inventory-III, the Dimensional Assessment of Personality Pathology, and the Personality Assessment Inventory." Journal of Research in Personality 43, no. 6 (December 2009): 1091–95. http://dx.doi.org/10.1016/j.jrp.2009.06.002.

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14

Yang, Jian-Feng. "Cross-Cultural personality assessment: the revised neo personality inventory in China." Social Behavior and Personality: an international journal 38, no. 8 (September 1, 2010): 1097–104. http://dx.doi.org/10.2224/sbp.2010.38.8.1097.

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The Mandarin Chinese version of Costa and McCrae's (1992) Revised NEO Personality Inventory (NEO-PI-R) was used to survey 473 people from 9 occupational groups in mainland China. Internal consistency was adequate for almost all dimensions. Correlations with occupation and gender sustained the validity of NEO-PI-R. The differences of mean value between Chinese participants and an American sample (Costa & McCrae, 1992) were significant in 4 dimensions. However, further validation of the 5-factor model for the assessment of personality in China is needed.

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15

Turk, Dennis C., and Ephrem Fernandez. "Personality assessment and the minnesota multiphasic personality inventory in chronic pain." Pain Forum 4, no. 2 (June 1995): 104–7. http://dx.doi.org/10.1016/s1082-3174(11)80008-5.

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16

Bell-Pringle, Virginia J., James L. Pate, and Robert C. Brown. "Assessment of Borderline Personality Disorder Using the MMPI-2 and the Personality Assessment Inventory." Assessment 4, no. 2 (June 1997): 131–39. http://dx.doi.org/10.1177/107319119700400203.

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The usefulness of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) and the. Personality Assessment Inventory (PAI) in the classification of patients diagnosed with Borderline Personality Disorder (BPD) was investigated. Twenty-two female inpatients diagnosed as having BPD and 22 female student control participants participated in the study. Those who scored 70 or above on the Borderline Features ( BOR) scale of the PAI were classified as BPD. For the MMPI-2, participants with profile configurations of 8-4-2, 8-2-4, 8-4-7, or 8-2-7 were classified as BPD. Eighty-two percent of the patients and 77% of the students were classified correctly using the PAI, whereas 9% of the patients and 95% of the students were classified correctly based on the MMPI-2. The discriminant function for the selected scales of the PAI classified 8G% of the participants correctly, and the discriminant function for the selected scales of the MMPI-2 classified 84% of the participants correctly. This suggests that both tests include items that discriminate between the two groups. Overall, the classification of participants based on the BOR scale of the PAI was more accurate than the classification of participants using the profile configurations of the MMPI-2. Implications for the assessment of BPD are discussed.

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17

Kim, Dae-Jin, Min-Cheol Park, Kui-Haeng Lee, Sang-Yeol Lee, and Sang-Woo Oh. "Factor Analysis of the Adolescent Personality Assessment Inventory." Journal of the Korean Academy of Child and Adolescent Psychiatry 26, no. 3 (September 30, 2015): 226–35. http://dx.doi.org/10.5765/jkacap.2015.26.3.226.

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18

Lyrakos, Dimitrios Georgiou. "The Development of the Greek Personality Assessment Inventory." Psychology 02, no. 08 (2011): 797–803. http://dx.doi.org/10.4236/psych.2011.28122.

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19

Chambers, Anthony L., and Melvin N. Wilson. "Assessing Male Batterers With the Personality Assessment Inventory." Journal of Personality Assessment 88, no. 1 (February 2007): 57–65. http://dx.doi.org/10.1080/00223890709336835.

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20

Puhan, Biranchi N. "Projective-Inventory: An Indigenous Approach to Personality Assessment." Psychology and Developing Societies 7, no. 2 (September 1995): 115–31. http://dx.doi.org/10.1177/097133369500700202.

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21

Cheung, Fanny M., Jessica Y. Y. Kwong, and Jianxin Zhang. "Clinical validation of the Chinese Personality Assessment Inventory." Psychological Assessment 15, no. 1 (March 2003): 89–100. http://dx.doi.org/10.1037/1040-3590.15.1.89.

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22

Cozma, Irina, Golshan Javadian, Mario Canever, and Vishal K. Gupta. "Narcissistic Personality Inventory: An assessment of measurement equivalence." Academy of Management Proceedings 2012, no. 1 (July 2012): 15053. http://dx.doi.org/10.5465/ambpp.2012.15053abstract.

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23

Thomas, Katherine M., Christopher J. Hopwood, Mathew J. Orlando, Frank W. Weathers, and Meghan E. McDevitt-Murphy. "Detecting Feigned PTSD Using the Personality Assessment Inventory." Psychological Injury and Law 5, no. 3-4 (November 24, 2011): 192–201. http://dx.doi.org/10.1007/s12207-011-9111-6.

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24

Weiss, William U., Sarah N. Zehner, Robert D. Davis, Cary Rostow, and Emily DeCoster-Martin. "Problematic police performance and the personality assessment inventory." Journal of Police and Criminal Psychology 20, no. 1 (March 2005): 16–21. http://dx.doi.org/10.1007/bf02806703.

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25

Lichton, Alex I., and Charles A. Waehler. "Exploring the Effects of Tape-Recording on Personality Assessment." Psychological Reports 84, no. 3 (June 1999): 869–72. http://dx.doi.org/10.2466/pr0.1999.84.3.869.

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This study examined the possible influence of audio and video recording of personality assessment measures on anxiety. Undergraduate students in psychology were randomly assigned to Audiotape, Videotape, or Control conditions and given the State-Trait Anxiety Inventory and Rorschach Inkblot Method. A one-way multivariate analysis of variance indicated no significant differences among these conditions on the Spielberger, et al. State-Trait Anxiety Inventory, A-State scale, and five Rorschach measures of situational anxiety. Tape-recording itself did not seem to affect the anxiety indices of these frequently used personality assessments.

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26

CARVALHO, Lucas de Francisco, Ricardo PRIMI, and Cláudio Garcia CAPITÃO. "Personality assessment in chronic pain patients." Estudos de Psicologia (Campinas) 33, no. 4 (December 2016): 645–53. http://dx.doi.org/10.1590/1982-02752016000400008.

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Abstract In Brazil, studies investigating the personality characteristics of chronic pain patients are scarce. The present study aimed to evaluate the personality characteristics of patients with chronic pain and to compare them with those of patients without this condition. To this end, the Personality Disorders Dimensional Inventory and the Hypochondriasis scale of the Brazilian version of the Minnesota Multiphasic Personality Inventory were administered. Two different statistical analyses were carried out: the t - test to determine the differences between the scores for the two groups and the logistic regression analysis to examine the predictive power of the scales for the diagnosis of chronic pain. The results revealed significant differences (p < 0.05) among the Histrionic, Hypochondriasis, and Sadistic scales as predictors for the groups studied, with larger effect sizes on the Histrionic and Hypochondriasis scales. The authors suggest that the use of these scales in a clinical context may provide important information for health professionals.

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27

Costa, Paul T., Robert R. McCrae, and Gary G. Kay. "Persons, Places, and Personality: Career Assessment Using the Revised NEO Personality Inventory." Journal of Career Assessment 3, no. 2 (March 1995): 123–39. http://dx.doi.org/10.1177/106907279500300202.

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28

Costa Jr., Paul T., and Robert R. McCrae. "Domains and Facets: Hierarchical Personality Assessment Using the Revised NEO Personality Inventory." Journal of Personality Assessment 64, no. 1 (February 1995): 21–50. http://dx.doi.org/10.1207/s15327752jpa6401_2.

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29

Omelyanovich, Vitaliy. "Freiburg Personality Inventory for assessment of the police officers." Psychosomatic Medicine and General Practice 2, no. 1 (March 25, 2017): 020120. http://dx.doi.org/10.26766/pmgp.v2i1.20.

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Background Psychological and psychiatric support of work activity of law enforcement officers is an inalienable component of the effective and professional operation of the system of internal affairs bodies. Improvement of this work is impossible without increasing the effectiveness of the psychological selection of candidates for work. Method Methods of research were "Freiburg personality inventory" (FPI) - Option «B», «Minnesota Multiphasic Personality Inventory» – MMPI. The study group included 158 respondents: 79,1 % (125 people) of men and 20,9% (33 people) of women. To analyze the results obtained, we used the methods of descriptive statistics, frequency analysis, and Kendell rank correlation. Results Particular attention should be paid to the fact that while comparing the scales of the diagnostic scales of the FPI and MMPI technique, it would be logical to expect the presence of correlations between the scales similar in their diagnostic orientation to such correlation links neither within the male or female gender it was not found (τ-b ≤0,17;p ≥0,06). This unexpected fact, as well as the lack of systematic and gender-wide universality of the revealed correlation links between the indicators of the FPI and MMPI methods, point to a rather serious content heterogeneity of these psychological tests. Conclusion The results of the analysis do not provide an opportunity to justify the FPI test for wide use in practical activities for the professional selection of law enforcement officers.

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30

Charles, Nora E., Whitney Cowell, and Laura M. Gulledge. "Using the Personality Assessment Inventory-Adolescent in Legal Settings." Journal of Personality Assessment 104, no. 2 (February 1, 2022): 192–202. http://dx.doi.org/10.1080/00223891.2021.2019050.

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31

Deisinger, Julie A. "Exploring the Factor Structure of the Personality Assessment Inventory." Assessment 2, no. 2 (June 1995): 173–79. http://dx.doi.org/10.1177/107319119500200207.

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This study examined the factor structure of the Personality Assessment Inventory (PAI). Factor analyses were conducted on all 22 PAI scales, as well as on the 11 clinical scales alone. When analyzing all scales, four factors related to general psychological distress, narcissism, impulsivity, and social functioning were obtained. An analysis of only clinical scales yielded three factors associated with distress, impulsivity, and substance abuse. Although methods other than those utilized by Morey were employed for the factor extractions and rotations, the latent factors derived in this study were very similar to those reported previously. These findings support the stability of the underlying factor structure of the PAI.

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32

Hopwood, Christopher, Suman Ambwani, and Leslie Morey. "Predicting nonmutual therapy termination with the personality assessment inventory." Psychotherapy Research 17, no. 6 (October 17, 2007): 706–12. http://dx.doi.org/10.1080/10503300701320637.

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33

Stover, Juliana B., Alejandro Castro Solano, and Mercedes Fernández Liporace. "Personality Assessment Inventory: Psychometric Analyses of its Argentinean Version." Psychological Reports 117, no. 3 (December 2015): 799–823. http://dx.doi.org/10.2466/08.03.pr0.117c27z2.

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34

Cheung, Fanny M., Shu Fai Cheung, Kwok Leung, Colleen Ward, and Frederick Leong. "The English Version of the Chinese Personality Assessment Inventory." Journal of Cross-Cultural Psychology 34, no. 4 (July 2003): 433–52. http://dx.doi.org/10.1177/0022022103034004004.

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35

Edens, John F., Keith R. Cruise, and Jacqueline K. Buffington-Vollum. "Forensic and correctional applications of the personality assessment inventory." Behavioral Sciences & the Law 19, no. 4 (2001): 519–43. http://dx.doi.org/10.1002/bsl.457.

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36

Piotrowski, Chris. "How Popular is the Personality Assessment Inventory in Practice and Training?" Psychological Reports 86, no. 1 (February 2000): 65–66. http://dx.doi.org/10.2466/pr0.2000.86.1.65.

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37

Helle, Ashley C., and Stephanie N. Mullins-Sweatt. "Maladaptive Personality Trait Models: Validating the Five-Factor Model Maladaptive Trait Measures With the Personality Inventory for DSM-5 and NEO Personality Inventory." Assessment 26, no. 3 (May 15, 2017): 375–85. http://dx.doi.org/10.1177/1073191117709071.

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Eight measures have been developed to assess maladaptive variants of the five-factor model (FFM) facets specific to personality disorders (e.g., Five-Factor Borderline Inventory [FFBI]). These measures can be used in their entirety or as facet-based scales (e.g., FFBI Affective Dysregulation) to improve the comprehensiveness of assessment of pathological personality. There are a limited number of studies examining these scales with other measures of similar traits (e.g., DSM-5 alternative model). The current study examined the FFM maladaptive scales in relation to the respective general personality traits of the NEO Personality Inventory-Revised and the pathological personality traits of the DSM-5 alternative model using the Personality Inventory for DSM-5. The results indicated the FFM maladaptive trait scales predominantly converged with corresponding NEO Personality Inventory-Revised, and Personality Inventory for DSM-5 traits, providing further validity for these measures as extensions of general personality traits and evidence for their relation to the pathological trait model. Benefits and applications of the FFM maladaptive scales in clinical and research settings are discussed.

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38

Preti, Emanuele, Antonio Prunas, Chiara De Panfilis, Carlo Marchesi, Fabio Madeddu, and John F. Clarkin. "The facets of identity: Personality pathology assessment through the Inventory of Personality Organization." Personality Disorders: Theory, Research, and Treatment 6, no. 2 (2015): 129–40. http://dx.doi.org/10.1037/per0000119.

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39

Nguyen, T., A. Catena, N. Frierich, N. Iturbe, N. Civit, and A. Muro. "Personality profiles of intimate partner violence offenders assessed with the personality assessment inventory." Personality and Individual Differences 60 (April 2014): S64. http://dx.doi.org/10.1016/j.paid.2013.07.280.

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40

Bruni, Antonella, Iolanda Martino, Maria Eugenia Caligiuri, Maria Grazia Vaccaro, Michele Trimboli, Cristina Segura Garcia, Pasquale De Fazio, Antonio Gambardella, and Angelo Labate. "Psychiatric Assessment in Patients with Mild Temporal Lobe Epilepsy." Behavioural Neurology 2019 (January 14, 2019): 1–9. http://dx.doi.org/10.1155/2019/4139404.

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Objectives. The findings of previous studies focused on personality disorders in epileptic patients are difficult to interpret due to nonhomogeneous samples and noncomparable methods. Here, we aimed at studying the personality profile in patients with mild temporal lobe epilepsy (mTLE) with psychiatric comorbidity. Materials and Methods. Thirty-five patients with mTLE (22 males, mean age 40.7±12.1) underwent awake and sleep EEG, 3T brain MRI, and an extensive standardized diagnostic neuropsychiatric battery: Temperament and Character Inventory-Revised (TCI-R), Beck Depression Inventory-2, and State-Trait Anxiety Inventory. Drug history was collected in detail. Hierarchical Cluster Analysis was performed on TCI-R data, while all other clinical and psychological variables were compared across the resulting clusters. Results. Scores of Harm Avoidance (HA), Reward Dependence (RD), Persistence (P), Cooperativeness (C), and Self-Transcendence (ST) allowed the identification of two clusters, describing different personality subtypes. Cluster 1 was characterized by an early onset, more severe anxiety traits, and combined drug therapy (antiepileptic drug and Benzodiazepine/Selective Serotonin Reuptake Inhibitors) compared to Cluster 2. Conclusions. Our findings suggest that different personality traits may play a role in determining the clinical outcome in patients with mTLE. Specifically, lower scores of HA, RD, P, C, and ST were associated with worse clinical outcome. Thus, personality assessment could serve as an early indicator of greater disease severity, improving the management of mTLE.

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41

Paunonen, Sampo V., Michael C. Ashton, and Douglas N. Jackson. "Nonverbal assessment of the Big Five personality factors." European Journal of Personality 15, no. 1 (January 2001): 3–18. http://dx.doi.org/10.1002/per.385.

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The Nonverbal Personality Questionnaire (NPQ) is an experimental, structured, nonverbal measure of 16 personality traits. Its items lack verbal content and, therefore, the inventory is useful for cross‐cultural research. Our goal is this research was to select a subset of the NPQ items to form a new nonverbal questionnaire based on the Five‐Factor Model of personality. We describe the construction of the Five‐Factor Nonverbal Personality Questionnaire (FF‐NPQ), and present data on its psychometric properties. These data include scale internal consistencies, intercorrelations, convergences with verbal measures of the Big Five factors, discriminant validity correlations, correlations with peer ratings, and ability to predict socially important behaviour criteria such as smoking and alcohol consumption. In a second study, we report on the psychometric properties of the FF‐NPQ in an independent sample of respondents from seven different countries. The utility of the new nonverbal inventory for cross‐cultural research is discussed. Copyright © 2001 John Wiley & Sons, Ltd.

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42

Smid, Nico, Marian Douma, Jelle Van Lenthe, and Adelita Ranchor. "The predictive validity of three different types of personality assessment instruments." European Journal of Personality 2, no. 2 (June 1988): 143–54. http://dx.doi.org/10.1002/per.2410020208.

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The present study investigates the hypothesis that, within personality assessment, the predictive validity of a list of act descriptive sentences will be higher than the validity of a personality inventory on the one hand and that of an adjective checklist on the other. This hypothesis is based on the assumption that people can judge more reliably whether a person will perform a specific act than whether he or she possesses a particular personality trait. Within the validity study, predictors were self‐judgements whereas criteria were peer‐judgements. The predictive validity of the act list was found to be lower than that of the inventory as well as that of the adjective checklist. Moreover, both the act list and the adjective checklist predicted the personality inventory better than the latter predicted the former two. Because of the different functions of self‐ and peer‐judgements within the present study, the former being predictors and the latter criteria, the results are interpreted under the perspective of self‐other attribution differences. Suggestions for constructing a possibly more valid list of act descriptive sentences are given.

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43

Kucharski, L. Thomas, Amber N. Petitt, Joseph Toomey, and Scott Duncan. "The Utility of the Personality Assessment Inventory in the Assessment of Psychopathy." Journal of Forensic Psychology Practice 8, no. 4 (December 2008): 344–57. http://dx.doi.org/10.1080/15228930802199267.

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44

Frewer, Lynn, and Anne V. Bleus. "Personality Assessment in a Collectivist Culture." South Pacific Journal of Psychology 4 (1991): 1–5. http://dx.doi.org/10.1017/s0257543400001565.

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Papua New Guinea has been defined as a collectivist (as opposed to individualist) culture (Triandis et al., 1986a). The aim of this study was to examine the effects of allocentricity on a standardised personality test, the Eysenck Personality Inventory, using a sample of Papua New Guinean university students. The responses of 256 subjects were factor analysed. The 22 factors extracted in the first-order analysis were reduced to eight factors in a higher-order analysis. These eight factors were only psychologically meaningful if interpreted within the context of a collectivist society. The implications for cross-cultural personality assessment are considered.

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45

Locke, Dona E. C., Kristin A. Kirlin, Rebecca Wershba, David Osborne, Joseph F. Drazkowski, Joseph I. Sirven, and Katherine H. Noe. "Randomized comparison of the Personality Assessment Inventory and the Minnesota Multiphasic Personality Inventory-2 in the epilepsy monitoring unit." Epilepsy & Behavior 21, no. 4 (August 2011): 397–401. http://dx.doi.org/10.1016/j.yebeh.2011.05.023.

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46

Busch, Alexander J., Leslie C. Morey, and Christopher J. Hopwood. "Exploring the Assessment of the DSM–5 Alternative Model for Personality Disorders With the Personality Assessment Inventory." Journal of Personality Assessment 99, no. 2 (September 6, 2016): 211–18. http://dx.doi.org/10.1080/00223891.2016.1217872.

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47

Migone, Paolo. "Problemi di psicoterapia." RUOLO TERAPEUTICO (IL), no. 111 (June 2009): 43–59. http://dx.doi.org/10.3280/rt2009-111007.

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- After an introduction on the dimensional approach in personality diagnosis and on its use as an attempt at solving some of the problems of categorical diagnoses (such as those of DSM-III and DSM-IV), the main dimensional models of personality are presented, namely: 16 PF Questionnaire by Cattell, Eysenck Personality Inventory (EPI), Five-Factor Model (FFM) by Costa & McCrae (Big Five), Temperament and Character Inventory (TCI) by Cloninger, Schedule for Nondaptive and Adaptive Personality (SNAP) by Clark, Dimensional Assessment of Personality Pathology - Basic Questionnaire (DAPP-BQ) by Livesley, Structural Analysis of Social Behavior (SASB) by Benjamin, the "fundamental polarity (anaclitic and introjective) of personality" by Blatt, Shedler-Westen Assessment Procedure (SWAP). Finally, advantages and disadvantages of dimensional models are discussed, with particular emphasis on borderline disorder.key words: personality, dimensional models, categorical model, borderline, diagnosis

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Louie, Jennifer F., John E. Kurtz, and Patrick M. Markey. "Evaluating Circumplex Structure in the Interpersonal Scales for the NEO-PI-3." Assessment 25, no. 5 (August 28, 2016): 589–95. http://dx.doi.org/10.1177/1073191116665697.

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Scales to assess the eight octants and two axes of the interpersonal circumplex (IPC) using items from the revised NEO Personality Inventory were introduced by Traupman et al. Item changes in the revised and renormed third edition of the NEO instrument (NEO-PI-3) have affected item content in all eight octant scales, underscoring the need to reexamine the IPC scales. The current study examines the circumplex structure of the revised octant scales in the NEO-PI-3 and their correlations with the Dominance and Warmth scales of the Personality Assessment Inventory in 568 undergraduate students. The data show perfect fit to circumplex structure, suggesting equivalent or better assessment of the IPC with the NEO-PI-3 octant scales. Convergence of the eight octants with the Personality Assessment Inventory interpersonal scales further supports their saturation with interpersonal content and appropriate location within the IPC.

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Boussac, Mathilde, Christophe Arbus, Olivier Colin, Chloé Laurencin, Alexandre Eusebio, Elodie Hainque, Jean Christophe Corvol, et al. "Personality assessment with Temperament and Character Inventory in Parkinson's disease." Parkinsonism & Related Disorders 103 (October 2022): 34–41. http://dx.doi.org/10.1016/j.parkreldis.2022.08.004.

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50

Kurtz, John E., and Mark A. Blais. "Introduction to the Special Issue on the Personality Assessment Inventory." Journal of Personality Assessment 88, no. 1 (February 2007): 1–4. http://dx.doi.org/10.1080/00223890709336828.

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