Confirmatory Factor Analysis of the Sternberg Triarchic Abilities Test in Three International Samples

2001 ◽  
Vol 17 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Robert J. Sternberg ◽  
J.L. Castejón ◽  
M.D. Prieto ◽  
Jarkko Hautamäki ◽  
Elena L. Grigorenko
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Theoretical Models ◽  
The United States ◽  
Underlying Structure ◽  
School Students ◽  
Theory Of Intelligence ◽  
Confirmatory Factor ◽  
Order Factor

Summary: In the current study we compare different theoretical models of the underlying structure of the STAT (Sternberg Triarchic Abilities Test), Level-H, by using the techniques of confirmatory factor analysis on a combined sample of 3278 school students from the United States, Finland, and Spain. The results of the comparison of a number of models - using the strategy of hierarchical confirmatory factor analysis (HCFA) and comparing nested and alternative models, specified under different assumed theories relative to a unidimensional concept of general intelligence, a traditional factorial concept, and a triarchic model - illustrate that the second-order factor model based on the triarchic theory of intelligence achieves the best (albeit far from perfect) fit to the empirical data.

Reasons for attending support groups and organizational preferences: A replication study using the North American Scleroderma Support Group Survey

2019 ◽  
Vol 4 (3) ◽  
pp. 173-186 ◽  
Author(s):  
Mia Pépin ◽  
Linda Kwakkenbos ◽  
Marie-Eve Carrier ◽  
Sandra Peláez ◽  
Ghassan El-Baalbaki ◽  
...  
Keyword(s):  
Social Support ◽  
Factor Analysis ◽  
Systemic Sclerosis ◽  
North America ◽  
Confirmatory Factor Analysis ◽  
Support Groups ◽  
Support Group ◽  
Factor Model ◽  
The United States ◽  
Confirmatory Factor

Peer-facilitated support groups are an important source for receiving disease-related information and support for people with systemic sclerosis (or scleroderma). A recent survey explored reasons for attending systemic sclerosis support groups in Europe and Australia and used exploratory factor analysis to group reasons for attendance into three main themes: (1) interpersonal and social support, (2) disease treatment and symptom management strategies, and (3) other aspects of living with systemic sclerosis. The objective of the present study was to replicate this study in a sample of patients from North America using confirmatory factor analysis. A 30-item survey was used to assess reasons for attendance and organizational preferences among systemic sclerosis patients in Canada and the United States. In total, 171 members completed the survey. In the confirmatory factor analysis, the three-factor model showed good fit to the data (χ2(399) = 646.0, p < 0.001, Tucker–Lewis index = 0.97, comparative fit index = 0.97, root mean square error approximation = 0.06). On average, respondents rated 22 (73%) of 30 items as “important” or “very important” reasons for attending support groups. Among organizational preferences, respondents emphasized the importance of the ability to share feelings and concerns, as well as educational aspects. Findings of our study suggest that reasons for attending support groups are similar for patients from Europe, Australia, and North America and that support groups should facilitate social support as well as disease education. These results inform the development of training programs for current and future systemic sclerosis support group leaders across the globe.

Confirming the Structural Validity of the My Class Inventory - Short form Revised

2015 ◽  
Vol 19 (1) ◽  
pp. 1096-2409-19.1. ◽  
Author(s):  
Mariani Melissa ◽  
Villares Elizabeth ◽  
Christopher A. Sink ◽  
Colvin Kimberly ◽  
Summer Perhay Kuba
Keyword(s):  
Factor Analysis ◽  
Elementary School ◽  
Confirmatory Factor Analysis ◽  
Elementary School Students ◽  
Classroom Climate ◽  
Factor Model ◽  
Short Form ◽  
Valid Measure ◽  
School Students ◽  
Confirmatory Factor

Researchers analyzed data collected from elementary school students (N = 893) to further establish the psychometric soundness of the My Class Inventory - Short Form Revised (MCI-SFR). A confirmatory factor analysis was conducted resulting in a good fit for a four-factor model, which corresponds to the instrument's four scales (Cohesion, Competitiveness, Friction, Satisfaction). Findings confirm the MCI-SFR as both a reliable and valid measure for assessing students’ perceptions of their classroom climate.

Exploratory and Confirmatory Factor Analysis of the Maslach Burnout Inventory to Measure Burnout Syndrome in Critical Care Nurses

2020 ◽  
Vol 28 (1) ◽  
pp. E18-E29
Author(s):  
Alexander Schneider ◽  
Jeri E. Forster ◽  
Meredith Mealer
Keyword(s):  
Factor Analysis ◽  
Critical Care ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Model ◽  
Maslach Burnout Inventory ◽  
The United States ◽  
Critical Care Nurses ◽  
Burnout Syndrome ◽  
Confirmatory Factor

Background and PurposeBurnout syndrome is common in critical care nursing. The Critical Care Societies Collaborative recently released a joint statement and call to action on burnout in critical care professionals.MethodsWe conducted an exploratory factor analysis and confirmatory factor analysis (CFA) of the 22-item MBI.ResultsThe exploratory factor analysis identified three factors but after questions were removed; we were left with a 2-factor, 10-item abridged version of the MBI-HSS to test with CFA modeling. The CFA indicated conflicting fit indices.Conclusionswe conducted an exploratory and CFA of the abridged MBI-HSS in critical care nurses from the United States and found the two-factor model was the best fit achieved.

scholarly journals The Development of Relational Reasoning in South Korean Elementary and Middle-School Students: A Cross-Sectional Investigation

2021 ◽  
Vol 12 ◽  
Author(s):  
Soo Eun Chae ◽  
Patricia A. Alexander
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Higher Order ◽  
Relational Reasoning ◽  
School Students ◽  
Cross Sectional ◽  
Tenth Graders ◽  
Confirmatory Factor ◽  
Non Parametric

Relational reasoning is a higher-order executive function that involves the ability to perceive meaningful patterns within a body of seemingly unrelated information. In this study, the ability of 749 fourth (Mage = 10), sixth (Mage = 12), eighth (Mage = 14), and tenth graders (Mage = 16) to identify meaningful relational patterns was investigated. This general cognitive ability was assessed by means of the Test of Relational Reasoning-Junior (TORRjr), a 32-item measure organized into four 8-item scales that assess analogical, anomalous, antinomous, and antithetical reasoning. Students’ performance on the TORRjr was analyzed using confirmatory factor analysis, measurement invariance test, and non-parametric median-based analyses. The confirmatory factor analysis supported that the higher-order factor model was the best fit for the TORRjr data for the Korean students. The measurement was determined to be invariant by gender but variant across grade levels. The non-parametric analysis resulted in an asymptotic (a constant increasing up to grade 6 and then a level off witnessed from grades 8 to 10) development pattern in overall relational reasoning across the grades. In comparison to analogy and anomaly, antinomy and antithesis scores were more fully developed by grade 8 and that level of performance was maintained at grade 10. The TORRjr appeared to be a viable measure for the Korean samples up to approximately 15 years of age. The significance of these findings for research and instructional practice are discussed.

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.

Exploratory and Confirmatory Factor Analysis of a Short-Form of the EMBU among Chinese Adolescents

2012 ◽  
Vol 110 (1) ◽  
pp. 263-275 ◽  
Author(s):  
Zhongquan Li ◽  
Li Wang ◽  
Lisong Zhang
Keyword(s):  
Factor Analysis ◽  
High School Students ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Short Form ◽  
Chinese Adolescents ◽  
Total Variance ◽  
School Students ◽  
Confirmatory Factor ◽  
Three Factor

The present study used a sample of Chinese adolescents and validated a short-form of the Egna Minnen Beträffande Uppfostran: One's Memories of Upbringing (s-EMBU) assessing perceived parental rearing styles. A Chinese revision of the s-EMBU by the authors was administered to a total of 779 high school students, ages 11 to 19 years. Exploratory factor analysis with half of the sample yielded a three-factor solution of Rejection, Emotional Warmth, and Overprotection, accounting for 47.1% of the total variance on the father form and 48.8% of the total variance on the mother form. Then, confirmatory factor analysis indicated a good fit of the three-factor model to the data in the other half of the sample. The three subscales consisted of 6, 6, and 7 items, respectively. Scores on these subscales had Cronbach alphas ranging from .71 to .81, indicating adequate internal consistency. These psychometric properties suggest its applicability for research with Chinese adolescents.

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

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