scholarly journals Exploring the dimensionality of the TRIM-18 in the Spanish context

2017 ◽  
Vol 33 (3) ◽  
pp. 548 ◽  
Author(s):  
Maria Fernández-Capo ◽  
Silvia Recoder ◽  
Juana Gómez-Benito ◽  
María Gámiz ◽  
Pilar Gual ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Factor Structure ◽  
Spanish Population ◽  
Factor Analyses ◽  
Validity And Reliability ◽  
Confirmatory Factor Analyses ◽  
Reliability Method ◽  
Confirmatory Factor ◽  
Potential Use ◽  
Three Factor

<p>Introduction: The Transgression-Related Interpersonal Motivation (TRIM-18) Inventory is an instrument that assesses episodic forgiveness. This scale is composed of three subscales: <em>avoidance</em>, <em>revenge</em> and <em>benevolence</em>. The present study examined the dimensionality of the Spanish version of the TRIM-18 (TRIM-18-S) and provided evidence of validity and reliability. Method: A total of 943 participants completed the TRIM-18-S.  A subset of 277 participants completed additional measures of empathy, anger, and information regarding the relation with the offender. Results: The TRIM-18-S showed good psychometric properties, and confirmatory factor analyses revealed a three-factor structure. Conclusions: The scale presents adequate psychometric properties for its potential use in a Spanish population.</p><p> </p>

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.

scholarly journals The Structure of Bryant's Empathy Index for Children: A Cross-Validation Study

2008 ◽  
Vol 11 (2) ◽  
pp. 670-677 ◽  
Author(s):  
Amaia Lasa Aristu ◽  
Francisco Pablo Holgado Tello ◽  
Miguel Ángel Carrasco Ortiz ◽  
María Victoria del Barrio Gándara
Keyword(s):  
Factor Structure ◽  
Validation Study ◽  
Cross Validation ◽  
Fit Indices ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Polychoric Correlations ◽  
Confirmatory Factor ◽  
Larger Sample ◽  
Three Factor

The present study examined the structure of Bryant's Empathy Index (BEI) using different samples for conducting exploratory and confirmatory analyses. The BEI was administered to a sample of 2,714 children (mean age 11.12, SD = 1.59). Exploratory and confirmatory factor analyses showed a three-factor structure: Feelings of Sadness, Understanding Feelings and Tearful Reaction. The results revealed both the multidimensionality of the instrument and appropriate fit indices for the model proposed. Although these results were very similar to those reported in other studies with a Spanish population, the analyses were conducted in a more robust way: with a larger sample and using polychoric correlations and cross validation estimation.

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 A hierarchical (multicomponent) model of in-group identification: adaptation of a measure to the Brazilian context

2019 ◽  
Vol 32 (1) ◽  
Author(s):  
Luana Elayne Cunha de Souza ◽  
Tiago Jessé Souza de Lima ◽  
Luciana Maria Maia ◽  
Ana Beatriz Gomes Fontenele ◽  
Samuel Lincoln Bezerra Lins
Keyword(s):  
Psychometric Properties ◽  
Factor Structure ◽  
Group Identification ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Multiple Dimensions ◽  
Two Samples ◽  
Confirmatory Factor ◽  
The University ◽  
Multicomponent Model

Abstract The aim of this study is to adapt the multidimensional in-group identification scale (MGIS) to the Brazilian context by gathering evidence of its psychometric properties. A total of 663 people from two samples participated in the study. In sample 1, we measured the identification of Brazilians with the region of the country where they live. In sample 2, we measured the identification of students with the university which they attend. Confirmatory factor analyses were performed on both samples to compare the models previously proposed by the original authors of the measure. The obtained results confirmed the validity of the hierarchical and multidimensional factor structure proposed by the original authors. The scale proposed here can be used to measure multiple dimensions of in-group identification in Brazil.

scholarly journals Centrality of Buddhist Religiosity Scale: Adaptation and Validation of the Centrality of Religiosity Scale in a Buddhist Sample in Vietnam

Religions ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 79
Author(s):  
Hang Thi Minh Nguyen ◽  
Michael Ackert ◽  
Christoph Flückiger ◽  
Herbert Scheiblich
Keyword(s):  
Psychometric Properties ◽  
Factor Structure ◽  
Religious Experience ◽  
Private Practice ◽  
Religious Orientation ◽  
Religious Tradition ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Public Practice ◽  
Confirmatory Factor

This paper describes an adaptation of the Centrality of Religiosity Scale to the Buddhist religious tradition (CBRS) and a validation in Vietnam. The sample included data from 421 Vietnamese Buddhists (300 females, 121 males), aged 17 to 71 years (M=35.03, SD=13.09). The results provided evidence for good psychometric properties of the short, intermediate, and long version: CBRS-5, CBRS-10, and CBRS-15 respectively. Specifically, exploratory and confirmatory factor analyses supported the measure’s original five-factor structure: intellect, ideology, public practice, private practice, and religious experience. Furthermore, the Centrality of Buddhist Religiosity has proven to be a stable psychological construct across the three versions of CBRS and was associated strongly with the Gordon Allport’s notion of the intrinsic religious orientation. The results also suggested that the Stefan Huber’s centrality of religiosity model can capture the Buddhist religiosity and that the CBRS can be used to measure the five theoretical defined core dimensions of religiosity in Buddhism.

Psychometric properties of the Danish student well-being questionnaire assessed in >250,000 student responders

2018 ◽  
Vol 46 (8) ◽  
pp. 877-885 ◽  
Author(s):  
Janni Niclasen ◽  
Maria Keilow ◽  
Carsten Obel
Keyword(s):  
Classroom Management ◽  
Psychometric Properties ◽  
Factor Structure ◽  
School Connectedness ◽  
Well Being ◽  
Descriptive Statistics ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses

Background: Well-being is considered a prerequisite for learning. The Danish Ministry of Education initiated the development of a new 40-item student well-being questionnaire in 2014 to monitor well-being among all Danish public school students on a yearly basis. The aim of this study was to investigate the basic psychometric properties of this questionnaire. Methods: We used the data from the 2015 Danish student well-being survey for 268,357 students in grades 4–9 (about 85% of the study population). Descriptive statistics, exploratory factor analyses, confirmatory factor analyses and Cronbach’s α reliability measures were used in the analyses. Results: The factor analyses did not unambiguously support one particular factor structure. However, based on the basic descriptive statistics, exploratory factor analyses, confirmatory factor analyses, the semantics of the individual items and Cronbach’s α, we propose a four-factor structure including 27 of the 40 items originally proposed. The four scales measure school connectedness, learning self-efficacy, learning environment and classroom management. Two bullying items and two psychosomatic items should be considered separately, leaving 31 items in the questionnaire. Conclusions: The proposed four-factor structure addresses central aspects of well-being, which, if used constructively, may support public schools’ work to increase levels of student well-being.

The Cognitive Map of Occupations: Factor Structure in a Spanish Sample

1999 ◽  
Vol 15 (1) ◽  
pp. 57-61 ◽  
Author(s):  
María Teresa Muñoz Sastre ◽  
Etienne Mullet ◽  
Christèle Semin
Keyword(s):  
Social Status ◽  
Factor Structure ◽  
Cognitive Map ◽  
Factorial Structure ◽  
Factor Analyses ◽  
Factor Solution ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Correlated Factors ◽  
Three Factor

Summary: The present work was aimed at assessing the factorial structure of Gottfredson's (1981) cognitive map of occupations. Participants, 500 Spanish pupils aged 14 years, were presented 129 occupations derived from Shinar's (1975) questionnaire, and asked to rate each occupation on one of 10 different scales derived from Gottfredson 's work: femininity, masculinity, prestige, income, realistic, research, artistic, social, entrepreneurial, and conventional. Exploratory and confirmatory factor analyses were conducted on the 129 × 10 matrix of means. The best solution was found to be a three-factor solution, with an independent social status factor and two correlated factors: gender and creativity.

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).

scholarly journals Psychometric Properties, Factor Structure, and Evidence for Measurement Invariance in the Greek Version of the Disgust Scale-Revised (DS-R)

Diseases ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 33 ◽  
Author(s):  
Theodoros Chalimourdas ◽  
Silia Vitoratou ◽  
Efstathia Matsouka ◽  
Dimitra Owens ◽  
Leto Kalogeraki ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Eysenck Personality Questionnaire ◽  
Greek Version ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
The Individual ◽  
Three Factor

The Disgust Scale has been designed to measure disgust propensity—the individual ease in experiencing disgust. The present study aimed to explore the validity, reliability, the factor structure, and the measurement invariance of the Greek version of the Disgust Scale-Revised (DS-R). A sample of 754 healthy participants completed the Greek version of the DS-R. A subset (n = 363) also completed the revised Symptom checked list and the Eysenck Personality Questionnaire, in order to examine the concurrent validity. Exploratory and Confirmatory factor analyses in different subsets were used to examine the factor structure. Multiple indicators–multiple causes model (MIMIC) models were used to assess the measurement invariance across gender and age. Demographic influences were assessed using t-tests, ANOVA, and Pearson’s correlations. Exploratory factor analysis concluded to two and three factor models, with a factor structure similar to the ones proposed in the literature. Confirmatory factor analysis and bi-factor analysis provided evidence in favor of the three-factor solution. Measurement invariance test revealed differences in six items across gender, and three items across age. The psychometric properties of the factors were satisfactory. Demographic influences on the responses were present, especially with respect to gender. The Greek version of the DS-R demonstrated satisfactory psychometric properties, making it suitable for use for the Greek population.

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