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 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.

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 Attachment Styles Within the Coach-Athlete Dyad: Preliminary Investigation and Assessment Development

2013 ◽  
Vol 7 (2) ◽  
pp. 120-145 ◽  
Author(s):  
Louise Davis ◽  
Sophia Jowett
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Relationship Satisfaction ◽  
Attachment Style ◽  
Attachment Styles ◽  
Factor Model ◽  
Self Report ◽  
First Order ◽  
Confirmatory Factor ◽  
Order Factor

The present preliminary study aimed to develop and examine the psychometric properties of a new sport-specific self-report instrument designed to assess athletes’ and coaches’ attachment styles. The development and initial validation comprised three main phases. In Phase 1, a pool of items was generated based on pre-existing self-report attachment instruments, modified to reflect a coach and an athlete’s style of attachment. In Phase 2, the content validity of the items was assessed by a panel of experts. A final scale was developed and administered to 405 coaches and 298 athletes (N = 703 participants). In Phase 3, confirmatory factor analysis of the obtained data was conducted to determine the final items of the Coach-Athlete Attachment Scale (CAAS). Confirmatory factor analysis revealed acceptable goodness of ft indexes for a 3-first order factor model as well as a 2-first order factor model for both the athlete and the coach data, respectively. A secure attachment style positively predicted relationship satisfaction, while an insecure attachment style was a negative predictor of relationship satisfaction. The CAAS revealed initial psychometric properties of content, factorial, and predictive validity, as well as reliability.

The Suicide Probability Scale: Norms and Factor Structure

1998 ◽  
Vol 83 (2) ◽  
pp. 637-638 ◽  
Author(s):  
Courtney Bagge ◽  
Augustine Osman
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Anxiety Symptoms ◽  
Self Report ◽  
Probability Scale ◽  
Suicide Probability Scale ◽  
Confirmatory Factor ◽  
Report Measure

The present study examined the factor structure of the Suicide Probability Scale with a sample of 390 undergraduates, using confirmatory factor analysis. The original oblique four-factor structure provided a poor fit to the data. Scores on the total scale correlated .63 with scores on a validated self-report measure of mood and .51 and .42 with anxiety symptoms. Additional norms for the total scale are reported.

scholarly journals Confirmatory Factor Analysis for a Service-Learning Outcomes Measurement Scale (S-LOMS)

2020 ◽  
Vol 32 (1) ◽  
pp. 3-34
Author(s):  
Ka Hing Lau ◽  
Robin Stanley Snell
Keyword(s):  
Factor Analysis ◽  
Service Learning ◽  
Confirmatory Factor Analysis ◽  
Student Learning ◽  
Learning Outcomes ◽  
Student Learning Outcomes ◽  
Higher Order ◽  
Measurement Scale ◽  
Outcomes Measurement ◽  
Confirmatory Factor

Service-learning was introduced into Hong Kong over a decade ago, yet there is a research gap about the self-perceived student learning outcomes, partly due to the lack of a reliable measurement instrument across disciplines and service-learning types. This study evaluated a recently created Service-Learning Outcomes Measurement Scale (S-LOMS) through confirmatory factor analysis with 629 students. S-LOMS measures self-perceived student learning outcomes with 56 items covering various learning outcome domains under four higher-order categories: knowledge application; personal and professional skills; civic orientation and engagement; and self-awareness. Alternative measurement models were compared, with the results indicating that although a model with 11 domains and without higher-order categories was preferred, there was also support for a model with 10 domains subsumed under the four higher-order categories. Multi-sample analyses indicated that both models were stable across gender.

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