Factor Structure of Psychopathy in Youth

2006 ◽  
Vol 33 (2) ◽  
pp. 135-157 ◽  
Author(s):  
Randall T. Salekin ◽  
Dia N. Brannen ◽  
Alecia A. Zalot ◽  
Anne-Marie Leistico ◽  
Craig S. Neumann
Keyword(s):  
Factor Model ◽  
Developmental Trajectories ◽  
Factor Models ◽  
Adolescent Offenders ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Psychopathy Checklist ◽  
Affective Factors ◽  
Confirmatory Factor ◽  
Three Factor

Psychopathy has traditionally been viewed as a two-factor construct composed of core personality and antisocial features. This two-factor model was called into question by Cooke and Michie. Specifically, Cooke and Michie proposed a three-factor model that divided the original first factor into interpersonal and affective factors. The traditional second factor was reduced to only including irresponsible and impulsive behaviors, thereby deemphasizing antisocial characteristics. Recently, Hare found evidence of a four-factor model that reincorporates antisocial items. The current study examined two-, three-, and four-factor structures in adolescent offenders ( N = 130) via confirmatory factor analyses. The results suggest that the two-factor model was a poor fit; however, three- and four-factor models evidenced good fit and were justifiable. These findings have important implications for the construct validity of the Psychopathy Checklist: Youth Version. Implications for potential developmental trajectories, dangerousness, and treatment are discussed.

THE LEVENSON LOCUS OF CONTROL SCALES: CONFIRMATORY FACTOR ANALYSES AND EVALUATION

1997 ◽  
Vol 25 (1) ◽  
pp. 93-103 ◽  
Author(s):  
Paul K. Presson ◽  
Steven C. Clark ◽  
Victor A. Benassi
Keyword(s):  
Locus Of Control ◽  
Factor Structure ◽  
Depressive Symptomatology ◽  
Predictive Ability ◽  
Factor Models ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Three Factor

Confirmatory factor analyses were conducted to test the factor structure of several versions of Levenson's (1973) locus of control scales. Two- and three-factor models based on all 24 of Levenson's items and on 20 of her items were tested. The 3-factor models provided a good fit. Models proposed by R. M. Shewchuk, G. A. Foelker Jr., and G. Niederehe (1990) and R. M. Shewchuk, G. A Foelker Jr., C. J. Camp, and F. Blanchard-Fields (1992) also provided a good fit of the data. In concurrent and prospective tests of the predictive ability of the various models, the 24 and 20 item versions of Levenson's models accounted for a significant amount of variance In depressive symptomatology. The three-factor models revealed that only scores on the chance scale reliably predicted time 2 depressive symptomatology. Neither of the models proposed by Shewchuk and colleagues accounted for a significant amount of variance.

Exploratory and Confirmatory Factor Analyses of the Asian American Racism-Related Stress Inventory

Assessment ◽  
2011 ◽  
Vol 19 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Matthew J. Miller ◽  
Jungeun Kim ◽  
Grace A. Chen ◽  
Alvin N. Alvarez
Keyword(s):  
Factor Analysis ◽  
Asian American ◽  
Factor Model ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Stress Inventory ◽  
Related Stress ◽  
Three Factor ◽  
American Racism

The authors conducted exploratory and confirmatory factor analyses of the Asian American Racism-Related Stress Inventory (AARRSI) to further examine the underlying factor structure in a total sample of 1,273 Asian American participants. In the first step of analysis, an exploratory factor analysis with 651 participants yielded a 13-item two-factor solution to the data. In the second step, a confirmatory factor analysis with 622 participants supported both the 13-item two-factor model and the original 29-item three-factor model in the cross-validation sample and generational and ethnicity analyses. The two-factor and three-factor models produced internal consistency estimates ranging from .81 to .95. In addition, the authors examined convergent and criterion related evidence for 13-item and 29-item versions of the AARRSI. Given its brief nature and generally good fit across generational status and ethnicity, the authors suggest that the 13-item AARRSI might be advantageous for research and assessment endeavors.

Psychopathy in Female Offenders

2002 ◽  
Vol 29 (6) ◽  
pp. 692-704 ◽  
Author(s):  
Rebecca L. Jackson ◽  
Richard Rogers ◽  
Craig S. Neumann ◽  
Paul L. Lambert
Keyword(s):  
Criminal Behavior ◽  
Factor Model ◽  
Past Research ◽  
Female Inmates ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Forensic Patients ◽  
Male Offenders ◽  
Confirmatory Factor ◽  
Three Factor

Psychopathy is an important clinical construct in explaining criminal behavior, determining the likelihood of treatment response, and evaluating risk assessment. The majority of past research has focused on male offenders or male forensic patients. Psychopathy in females is relatively unexplored. The current study was designed to further investigate the underlying dimensions of psychopathy in females. Utilizing a sample of 119 female inmates from a large metropolitan area jail, a series of confirmatory factor analyses was undertaken. Previous research and clinical tradition suggest the use of a two-factor conceptualization of psychopathy. More recent research suggests that a three-factor model may better capture the underlying dimensions of psychopathy. Two-factor models of psychopathy were not confirmed. However, the three-factor model reproduced the data extremely well. Clinical and research implications of this finding are addressed.

scholarly journals Factor structure of Raven's Coloured Progressive Matrices

Psico-USF ◽  
2016 ◽  
Vol 21 (2) ◽  
pp. 259-272 ◽  
Author(s):  
Monalisa Muniz ◽  
Cristiano Mauro Assis Gomes ◽  
Sonia Regina Pasian
Keyword(s):  
Standard Deviation ◽  
Factor Structure ◽  
Factor Model ◽  
Specific Factor ◽  
General Factor ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Specific Factors ◽  
Three Factor

Abstract This study's objective was to verify the factor structure of Raven's Coloured Progressive Matrices (CPM). The database used included the responses of 1,279 children, 50.2% of which were males with an average age of 8.48 years old and a standard deviation of 1.49 yrs. Confirmatory factor analyses were run to test seven models based on CPM theory and on a Brazilian study addressing the test's structure. The results did not confirm the CPM theoretical proposition concerning the scales but indicated that the test can be interpreted by one general factor and one specific factor or one general factor and three specific factors; both are bi-dimensional models. The three-factor model is, however, more interpretable, suggesting that the factors can be used as a means of screening children's cognitive developmental stage.

Latent Structure of the Social Interaction Self-Statement Test: An Application of Hierarchical Confirmatory Factor Analysis

1999 ◽  
Vol 84 (3_suppl) ◽  
pp. 1303-1314 ◽  
Author(s):  
Sehee Hong ◽  
Yongrae Cho
Keyword(s):  
Social Interaction ◽  
Factor Model ◽  
Factor Models ◽  
Latent Structure ◽  
Test Results ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
The Social ◽  
Confirmatory Factor ◽  
Order Factor

Since the Social Interaction Self-statement Test was presented, a clear factor structure of the measure has not been defined. This situation is largely due to a lack of agreement among researchers with respect to the method of factoring, rotation criteria, and interpretation of factor loadings. The aim of the present study was to evaluate, using confirmatory factor analyses, the various factor models of the test. Results clearly supported a novel second-order factor model, which was developed by combining the current two- and five-factor models.

scholarly journals The 21-item Barratt Impulsiveness Scale Revised (BIS-R-21): An alternative three-factor model

2020 ◽  
Vol 9 (2) ◽  
pp. 225-246
Author(s):  
Máté Kapitány-Fövény ◽  
Róbert Urbán ◽  
Gábor Varga ◽  
Marc N. Potenza ◽  
Mark D. Griffiths ◽  
...  
Keyword(s):  
Factor Structure ◽  
Factor Model ◽  
Measurement Model ◽  
Self Report ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Barratt Impulsiveness Scale ◽  
Confirmatory Factor ◽  
Cognitive Impulsivity ◽  
Three Factor

AbstractBackground and aimsDue to its important role in both healthy groups and those with physical, mental and behavioral disorders, impulsivity is a widely researched construct. Among various self-report questionnaires of impulsivity, the Barratt Impulsiveness Scale is arguably the most frequently used measure. Despite its international use, inconsistencies in the suggested factor structure of its latest version, the BIS-11, have been observed repeatedly in different samples. The goal of the present study was therefore to test the factor structure of the BIS-11 in several samples.MethodsExploratory and confirmatory factor analyses were conducted on two representative samples of Hungarian adults (N = 2,457; N = 2,040) and a college sample (N = 765).ResultsAnalyses did not confirm the original model of the measure in any of the samples. Based on explorative factor analyses, an alternative three-factor model (cognitive impulsivity; behavioral impulsivity; and impatience/restlessness) of the Barratt Impulsiveness Scale is suggested. The pattern of the associations between the three factors and aggression, exercise, smoking, alcohol use, and psychological distress supports the construct validity of this new model.DiscussionThe new measurement model of impulsivity was confirmed in two independent samples. However, it requires further cross-cultural validation to clarify the content of self-reported impulsivity in both clinical and nonclinical samples.

scholarly journals The Well-being Questionnaire: evidence for a three-factor structure with 12 items (W-BQ12)

2000 ◽  
Vol 30 (2) ◽  
pp. 455-462 ◽  
Author(s):  
F. POUWER ◽  
F. J. SNOEK ◽  
H. M. VAN DER PLOEG ◽  
H. J. ADÈR ◽  
R. J. HEINE
Keyword(s):  
Factor Structure ◽  
Factor Model ◽  
Well Being ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses ◽  
Group A ◽  
Group B ◽  
Three Factor

Background. The Well-being Questionnaire (W-BQ) has been designed to measure psychological well-being in people with a chronic somatic illness and is recommended by the World Health Organization for widespread use. However, studies into the factor structure of this instrument are still limited and their findings are inconsistent. This study aimed to investigate the factor structure of the Dutch version of the W-BQ.Methods. A cross-validation design was used. A total of 1472 people with diabetes completed the W-BQ and were randomly assigned to group A or B. In group A (N = 736), exploratory factor analyses were conducted. Group B (N = 736) was split up into four subgroups of male or female patients with type 1 or type 2 diabetes. In these subgroups, confirmatory factor analyses were employed to test the model(s) developed in group A and the two models described in the literature (four-factor model with 22 items and a three-factor model with 12 items).Results. Exploratory factor analyses yielded a three-factor model with 21 items (negative well-being, energy and positive well-being). In the subgroups of group B confirmatory factor analyses only accepted the three-factor model with 12 items. This factor solution was stable across gender, type of diabetes and level of education.Conclusions. The best description of the factor structure of the Dutch translation of the W-BQ was given by a three-factor solution with 12 items (W-BQ12), measuring positive well-being (four items), negative well-being (four items) and energy (four items).

Evidence for Cultural Variability in Right-Wing Authoritarianism Factor Structure in a Politically Unstable Context

2019 ◽  
Vol 11 (5) ◽  
pp. 658-666
Author(s):  
Felipe Vilanova ◽  
Taciano L. Milfont ◽  
Clara Cantal ◽  
Silvia Helena Koller ◽  
Ângelo Brandelli Costa
Keyword(s):  
Factor Model ◽  
Cross Cultural ◽  
Right Wing ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Cultural Validity ◽  
Right Wing Authoritarianism ◽  
Confirmatory Factor ◽  
Explanatory Concept ◽  
Three Factor

Right-wing authoritarianism (RWA) has been a central explanatory concept and predictor of sociopolitical and intergroup attitudes over the last decades. Research indicates RWA is formed by the subdimensions of authoritarianism, traditionalism, and conservatism. The objective of this study was to assess the cross-cultural validity of this three-factor model in a politically unstable context where an alternative factor model was observed. Data from four Brazilian samples ( N total = 1,083) were assessed to test whether a four-factor model (with conservatism split) identified in Brazil recently was better fitting than the three-factor model. Exploratory and confirmatory factor analyses and 3-year longitudinal evidence confirmed the four-factor model is the best RWA structure in the Brazilian context and that only the pro-trait conservatism items indexing submission to authority have adequate psychometric properties. Implications for future RWA propositions are discussed.

A Comparison of Factor Models on the PCL-R With Mentally Disordered Offenders

2005 ◽  
Vol 32 (5) ◽  
pp. 526-545 ◽  
Author(s):  
Michael J. Vitacco ◽  
Richard Rogers ◽  
Craig S. Neumann ◽  
Kimberly S. Harrison ◽  
Gina Vincent
Keyword(s):  
Factor Model ◽  
Factor Models ◽  
Two Dimensions ◽  
Mentally Disordered Offenders ◽  
Mentally Disordered ◽  
Psychopathy Checklist ◽  
Confirmatory Factor ◽  
Psychopathy Checklist Revised ◽  
Personality Features ◽  
Three Factor

For more than a decade, researchers and practitioners have generally accepted a two-factor model for the Psychopathy Checklist-Revised (PCL-R) composed of core personality features and an antisocial lifestyle. Very recently, Cooke and Michie (2001) proposed a three-factor solution that divided the core personality features into two dimensions while eliminating antisocial behavior. This study of male, mentally disordered offenders ( N = 96) directly compared factor models via confirmatory factor analysis (CFA). When using testlets to combine theoretically similar items into single ratings, the nested three-factor model was an excellent fit. Of importance, the development of a four-factor model with the inclusion of antisocial items also produced an excellent fit. Combined with recent research, these findings have important ramifications for the construct validity of the PCL-R.

Does Beck's Hopelessness Scale really measure several components?

2001 ◽  
Vol 31 (2) ◽  
pp. 367-372 ◽  
Author(s):  
ANNE-MARIE AISH ◽  
DANUTA WASSERMAN
Keyword(s):  
Factor Model ◽  
Factor Models ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Suicide Attempters ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses ◽  
Scale Measure ◽  
The Individual ◽  
Item Scale

Background. Much of the interest in hopelessness stems from the key role it plays in the prediction of suicidal behaviour. To measure hopelessness, Beck et al.(1974)developed a 20-item scale (BHS), applied exploratory factor analysis and argued that the scale measures three specific components (affective, motivational and cognitive). Subsequent exploratory factor analyses identified two, three or more factors underlying the scale.Method. Several confirmatory factor analyses (LISREL) were run on data on 324 suicide attempters in Sweden in order to test the hypothesized factorial structures and to investigate the psychometric properties of the individual items.Results. Neither three- nor two-factor models fitted the data. A simpler structure was sufficient to account for the observed correlations between most of the items. This led to the development of several variants of a one-factor model, each a combination of affective, motivational and cognitive items. The number of items varied between four and 15.Conclusions. Our findings suggest that most of the items (15) of Beck's Hopelessness Scale measure one factor. They further suggest that the number of items could considerably be reduced. A four-item scale produced an excellent fit. It includes positive and negative items describing the perception of the future in terms of success, darkness, lack of opportunity and faith. It might even be possible to replace the total scale with one item only, ‘my future seems dark to me’.

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