Analysis of the Psychometric Properties of the Spanish Version of the Trait Meta-Mood Scale in a Sports Context

2010 ◽  
Vol 106 (2) ◽  
pp. 477-489 ◽  
Author(s):  
José Martín-Albo ◽  
Juan L. Núñtez ◽  
Jaime León
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Self Report ◽  
Spanish Version ◽  
Confirmatory Factor ◽  
Perceived Emotional Intelligence ◽  
Mood Scale ◽  
Report Measure ◽  
Adequate Reliability

The purpose of the present research was to analyze the psychometric properties of the Trait Meta-Mood Scale (TMMS) in sport context. The TMMS is a 24-item self-report measure that assesses perceived emotional intelligence, which is the extent to which people believe they pay attention to their emotions and are capable of distinguishing and regulating them. Participants were 368 athletes (257 male, 111 female; M age = 21.4 yr., SD = 5.5; range = 14–40). Factor validity was tested via Confirmatory Factor Analysis. Based on factor loadings, covariances, and modification indices, the TMMS was reduced to a 22-item model. This respecification showed adequate reliability and construct validity. Multistep analysis of invariance indicated that the factor structure of the TMMS is invariant across sex. Predictive validity was assessed through path analysis. The results support the use of the Spanish version of the TMMS in a sport context.

scholarly journals A self-report measure of perfectionism: A confirmatory factor analysis of the Swedish version of the Clinical Perfectionism Questionnaire

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Allison Parks ◽  
Jakob Clason van de Leur ◽  
Marcus Strååt ◽  
Fredrik Elfving ◽  
Gerhard Andersson ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Interpersonal Relationships ◽  
Self Report ◽  
Negative Consequences ◽  
Structural Validity ◽  
Swedish Version ◽  
Confirmatory Factor ◽  
Best Fit ◽  
Report Measure

Background Perfectionism is often defined as the strive for achievement and high standards, but can also lead to negative consequences. In addition to affecting performance and interpersonal relationships, perfectionism can result in mental distress. A number of different self-report measures have been put forward to assess perfectionism. Specifically intended for clinical practice and research, the Clinical Perfectionism Questionnaire (CPQ) was developed and is presently available in English and Persian. To promote its use in additional contexts, the current study has translated and investigated the psychometric properties of the Swedish version of the CPQ. Method A Confirmatory Factor Analysis was performed to examine the best fit with data, using a priori-models and a sample of treatment-seeking participants screened for eligibility to receive Internet-based cognitive behavior therapy (n = 223). Results The results indicated a lack of fit with data. A two-factor structure without the two reversed items (2 and 8) exhibited the best fit, perfectionistic strivings and perfectionistic concerns, but still had poor structural validity. Correlations with self-report measures of perfectionism, depression, anxiety, dysfunctional beliefs, self-criticism, quality of life, and self-compassion were all in the expected directions. Eight-week test-retest correlation was Pearson r = .62, 95% Confidence Interval [.45, .74], using data from 72 participants in the wait-list control, and the internal consistency for the CPQ, once removing the reversely scored items, was Cronbach’s α = .72. Conclusion The CPQ can be used as a self-report measure in Swedish, but further research on its structural validity is needed.

scholarly journals Psychometric Properties of the Bern Illegitimate Tasks Scale – Spanish Version

2021 ◽  
Vol 12 ◽  
Author(s):  
Denisse Lizette Valdivieso Portilla ◽  
Angélica Gonzalez Rosero ◽  
Geovanny Alvarado-Villa ◽  
Jorge Moncayo-Rizzo
Keyword(s):  
Factor Analysis ◽  
Informed Consent ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Exploratory Factor Analysis ◽  
Work Stress ◽  
Factor Model ◽  
Spanish Version ◽  
Confirmatory Factor ◽  
Written Informed Consent

In recent years, a new factor for work stress has been studied along with stress as an offense to self-theory. Illegitimate tasks refer to assignments that are unnecessary or are not related to the employee’s role. Because of this, the Bern Illegitimate Tasks Scale was developed, which measures illegitimate tasks in terms of unreasonable tasks and unnecessary tasks. There are no studies in Latin America on illegitimate tasks, so the purpose of this research is to translate and validate the Bern Illegitimate Tasks Scale. The study was performed with a sample of nursing staff from a hospital in Guayaquil, Ecuador. Written informed consent was obtained from each of the participants. The reliability of the questionnaire was evaluated and its structural validity was verified by exploratory factor analysis and confirmatory factor analysis. The internal consistency of the whole scale, measured by Cronbach’s alpha, was 0.857. Moreover, the unnecessary and unreasonable subscales measure were 0.846 and 0.841, respectively. The exploratory factor analysis supported a two-factor model that explained 73.96% of the variance. Additionally, the confirmatory factor analysis showed good indexes of fit (GFI = 0.915, CFI = 0.955, TLI = 0.933, SRMR = 0.084, and RMSEA = 0.087). The Spanish version of the Bern Illegitimate Tasks Scale presents good psychometric properties and can be applied to nurses in the Ecuadorian population.

scholarly journals Psychometric Properties and Structures of the IAT, GPIUS and GAS Scales: A Bifactor Approach

2019 ◽  
Vol 13 ◽  
Author(s):  
Lingling Xu ◽  
Yan Cai ◽  
Dongbo Tu
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Item Response ◽  
Internet Addiction ◽  
Self Report ◽  
Item Response Model ◽  
Multidimensional Item Response ◽  
Test Information ◽  
Confirmatory Factor

AbstractThis study applied a bifactor approach to investigate the structures and simultaneously compare the psychometric properties of three popular self-report internet addiction (IA) instruments. A bifactor confirmatory factor analysis was used to address the structures of the three scales, while the bifactor multidimensional item response model was employed to compare the psychometric properties of the three scales. Results of bifactor confirmatory factor analysis (CFA) showed that the bifactor structures were suitable for the three scales. These corresponding bifactor structures were used in the subsequent bifactor multidimensional item response theory (MIRT) analysis. Results of the bifactor MIRT showed that: three instruments of IA performed well as a whole; the Generalised Problematic Internet Use Scale (GPIUS) and Internet Addiction Test (IAT) provided more test information and had less standard error of measurement, which ranged from −3 to −1 standard deviations of theta or IA severity; the Game Addiction Scale (GAS) performed better than the other two scales in that it can provide more test information in the large area of IA severity (from −1 to +3 SDs). These suggest that the GPIUS and IAT may be the best choice for epidemiological IA studies and for measuring those with lower IA severity. Meanwhile, the GAS may be a good choice when we recruit those with various levels of IA severity.

Personality Assessment Inventory: A Confirmatory Factor Analysis

1994 ◽  
Vol 79 (3_suppl) ◽  
pp. 1441-1442 ◽  
Author(s):  
Gregory J. Boyle ◽  
James Ward ◽  
Tania J. Lennon
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Personality Assessment ◽  
Personality Assessment Inventory ◽  
Higher Order ◽  
Self Report ◽  
Proposed Model ◽  
Confirmatory Factor ◽  
Order Factor ◽  
Report Measure

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.

scholarly journals Measuring Self-Serving Cognitive Distortions: An analysis of the Psychometric Properties of the How I think Questionnaire (HIT-16-Q)

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Eshrat Ara
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Convergent Validity ◽  
Structural Model ◽  
Cognitive Distortions ◽  
Self Report ◽  
Good Reliability ◽  
Confirmatory Factor ◽  
The One ◽  
Report Measure

The How I Think Questionnaire (HIT-Q; Barriga et al., 2001) is a self-report measure of self-serving cognitive distortions. This study aimed to analyze the psychometric properties of the validated version HIT-16-Q (Ara & Shah, 2015) scores in large sample adolescents. Results showed good reliability of the total HIT-16-Q scores: alpha .83. Exploratory Factor Analysis (EFA) revealed a single factor. Confirmatory factor analysis (CFA), revealed the better fit for the one-dimensional structural model. Moreover, the HIT-16-Q has good convergent validity.

scholarly journals Psychometric properties of the HEXACO-PI-R self-evaluation form in Slovak translation

2021 ◽  
Vol 23 (1) ◽  
pp. 1-8
Author(s):  
Elena Lisá ◽  
◽  
Michael Dzúrik ◽  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Self Report ◽  
Medium Effect ◽  
Mean Values ◽  
Confirmatory Factor

The study aimed to verify the psychometric properties of the 100-item HEXACO-PI-R questionnaire. The sample consisted of 1624 adults aged from 16 to 79 years (M=34.5, SD=13.35) who filled the paper-pen self-report form of the HEXACO-PI-R. The average internal consistency of the six factors was α=.78 (from .72 for Openness to .81 for Honesty-Humility) and α=.60 for facets. The Altruism scale in the Slovak translation did not reach a satisfactory internal consistency (α=.29). Mean values in the Slovak-speaking sample were 3.29, and standard deviations .53 for factor level and .74 at the facet level. Sex differences showed the higher Emotionality (d=.99) and Honesty-Humility (d= .38) in women. Age differences in Honesty-Humility showed a medium effect size. Factors did not inter-correlate, or they correlated weakly, except for r=.34 in the relationship between Agreeableness and Honesty-Humility. The factors were well distinguished from one another. The exploratory factor analysis with Promax rotation confirmed the six-factor model, which explained in total 44% of data variance, with an average loading of .60. Individual one-factor models met most of the goodness of fit criteria in confirmatory factor analysis, but the six-factor model did not meet them. The controversy associated with assessing the internal structure of multidimensional personality inventories by confirmatory factor analysis is discussed. According to the currently published research studies, the research findings supported the reliability and internal validity of HEXACO-PI-R in Slovak translation.

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