The Utrecht-Management of Identity Commitments Scale (U-MICS)

2010 ◽  
Vol 26 (3) ◽  
pp. 172-186 ◽  
Author(s):  
Elisabetta Crocetti ◽  
Seth J. Schwartz ◽  
Alessandra Fermani ◽  
Wim Meeus
Keyword(s):  
Factor Model ◽  
Age Groups ◽  
Psychosocial Problems ◽  
Confirmatory Factor Analyses ◽  
Identity Processes ◽  
Confirmatory Factor ◽  
Dutch Sample ◽  
Three Factor ◽  
Reconsideration Of Commitment ◽  
Latent Means

The present study examined the psychometric properties of the Dutch and Italian versions of the Utrecht-Management of Identity Commitments Scale (U-MICS) in large community samples of adolescents from Italy (N = 1,975) and The Netherlands (N = 1,521). Confirmatory factor analyses indicated that the three-factor model, consisting of commitment, in-depth exploration, and reconsideration of commitment, provided a better fit to the data than alternative one- and two-factor models. The three-factor model fit equivalently across sex and across age groups (early and middle adolescents). Furthermore, we demonstrated cross-national equivalence of the factor structure of the U-MICS. Additionally, results indicated that the latent means for commitment were higher in the Dutch sample, while latent means for both in-depth exploration and reconsideration of commitment were substantially higher in the Italian sample. The three identity processes were found to be meaningfully related to measures of self-concept, psychosocial problems, and parent-adolescent relations in both countries. These findings suggest that the U-MICS is a reliable tool for assessing identity processes in Italian and Dutch adolescents.

Measurement Invariance of Divergent Thinking Across Gender, Age, and School Forms

2009 ◽  
Vol 25 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Jörg-Tobias Kuhn ◽  
Heinz Holling
Keyword(s):  
Measurement Invariance ◽  
Divergent Thinking ◽  
Factor Model ◽  
Age Groups ◽  
Thinking Skills ◽  
Specific Model ◽  
Confirmatory Factor Analyses ◽  
Domain Specific ◽  
Gender And Age ◽  
Confirmatory Factor

The present study explores the factorial structure and the degree of measurement invariance of 12 divergent thinking tests. In a large sample of German students (N = 1328), a three-factor model representing verbal, figural, and numerical divergent thinking was supported. Multigroup confirmatory factor analyses revealed that partial strong measurement invariance was tenable across gender and age groups as well as school forms. Latent mean comparisons resulted in significantly higher divergent thinking skills for females and students in schools with higher mean IQ. Older students exhibited higher latent means on the verbal and figural factor, but not on the numerical factor. These results suggest that a domain-specific model of divergent thinking may be assumed, although further research is needed to elucidate the sources that negatively affect measurement invariance.

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.

Reliability and Factor Structure in an Adolescent Sample of the Dutch 20-Item Toronto Alexithymia Scale

2012 ◽  
Vol 111 (2) ◽  
pp. 393-404 ◽  
Author(s):  
Reitske Meganck ◽  
Samuel Markey ◽  
Stijn Vanheule
Keyword(s):  
Factor Model ◽  
Age Groups ◽  
Second Order ◽  
Confirmatory Factor Analyses ◽  
Toronto Alexithymia Scale ◽  
Younger Age ◽  
Confirmatory Factor ◽  
Adolescent Sample ◽  
Order Factor ◽  
Tas 20

This study investigated the psychometric properties of the 20-item Toronto Alexithymia Scale (TAS–20) in an adolescent sample ( N = 406, ages 12 to 17). This is rarely done even though the TAS–20 is used in adolescent research. Five published factor models were tested. For good fitting models, a second-order model with alexithymia as a higher-order factor and metric invariance across sex and age groups was tested. Confirmatory factor analyses showed that the original three-factor model and a four-factor model provided acceptable fit. Both models were invariant across sex, but not across age. Second-order models did not provide good fit. Reliability was good for the “Difficulty identifying feelings” subscale and acceptable for the “Difficulty describing feelings” subscale, but not for the “Externally oriented thinking” subscale. Measuring alexithymia with the TAS–20 in adolescents thus seems problematic, especially in younger age groups.

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.

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.

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.

scholarly journals Validation of the Athletic Identity Measurement Scale in Youth Academy Soccer Players

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Tom Mitchell ◽  
Fieke Rongen ◽  
John Perry ◽  
Martin Littlewood ◽  
Kevin Till
Keyword(s):  
Factor Model ◽  
Athletic Identity ◽  
Soccer Players ◽  
Measurement Scale ◽  
Single Factor ◽  
Confirmatory Factor Analyses ◽  
Male Youth ◽  
Youth Soccer ◽  
Confirmatory Factor ◽  
Three Factor

The Athletic Identity Measurement Scale (AIMS) is a popular measure of Athletic Identity (AI). The purpose of the present study was to investigate the factor structure (7-item single factor and 3 factor model; Social Identity, Exclusivity and Negative Affectivity) of the AIMS within youth academy soccer players. A total of 259 male youth academy soccer players aged 12-18 years completed the AIMS. A series of confirmatory factor analyses, independent cluster modelling indicated support for the 7-item single-factor (AI) and the three-factor models but not within the same analysis. The results support the use of AIMS for the measurement of AI in elite male youth soccer players. Practitioners seeking to explore AI in youth soccer populations should use the three-factor model to glean further insight from the three subscales to support the design of more specific interventions where appropriate.

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