Factor Analysis of the Texas Functional Living Scale in an Outpatient Clinical Sample

Abstract Objective Prior factor analysis of the Texas Functional Living Scale (TFLS), a performance-based measure of functional abilities, in a military veteran sample supported four factors discrepant from the published subscales. This study analyzed TFLS factor structure in a non-veteran clinical sample. Method Two hundred seventy adult outpatients completed the TFLS during neuropsychological evaluation. Principal axis factor analysis with oblique promax rotation was conducted with age and education effects partialed out. Results Parallel analysis indicated five factors for extraction that accounted for a combined 48% of the variance. The first factor independently explained 26% of the total variance. Inspection of factor loadings suggested the following factor interpretations: complex calculations/time, complex visual search, praxis, memory, and basic calculations/math concepts. Five items did not significantly load onto any of the factors. Conclusions Current results did not entirely correspond to the published subscales or prior results in a veteran sample. Further clarification of the TFLS factor structure is warranted.

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Giving G a Meaning: An Application of the Bifactor-(S-1) Approach to Realize a More Symptom-Oriented Modeling of the Beck Depression Inventory–II

Assessment ◽

10.1177/1073191118803738 ◽

2018 ◽

Vol 27 (7) ◽

pp. 1429-1447 ◽

Cited By ~ 8

Author(s):

Manuel Heinrich ◽

Pavle Zagorscak ◽

Michael Eid ◽

Christine Knaevelsrud

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Beck Depression Inventory ◽

Factor Structure ◽

Clinical Sample ◽

First Order ◽

Confirmatory Factor ◽

Bifactor Models ◽

Current Article ◽

Analysis Models

The Beck Depression Inventory–II is one of the most frequently used scales to assess depressive burden. Despite many psychometric evaluations, its factor structure is still a topic of debate. An increasing number of articles using fully symmetrical bifactor models have been published recently. However, they all produce anomalous results, which lead to psychometric and interpretational difficulties. To avoid anomalous results, the bifactor-(S-1) approach has recently been proposed as alternative for fitting bifactor structures. The current article compares the applicability of fully symmetrical bifactor models and symptom-oriented bifactor-(S-1) and first-order confirmatory factor analysis models in a large clinical sample ( N = 3,279) of adults. The results suggest that bifactor-(S-1) models are preferable when bifactor structures are of interest, since they reduce problematic results observed in fully symmetrical bifactor models and give the G factor an unambiguous meaning. Otherwise, symptom-oriented first-order confirmatory factor analysis models present a reasonable alternative.

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The LIVES Daily Hassles Scale and Its Relation to Life Satisfaction

Assessment ◽

10.1177/10731911211047894 ◽

2021 ◽

pp. 107319112110478

Author(s):

Shagini Udayar ◽

Ieva Urbanaviciute ◽

Davide Morselli ◽

Grégoire Bollmann ◽

Jérome Rossier ◽

...

Keyword(s):

Life Satisfaction ◽

Factor Analysis ◽

Principal Axis ◽

Daily Hassles ◽

Hierarchical Regression ◽

Panel Surveys ◽

Five Factors ◽

Confirmatory Factor ◽

Principal Axis Factor Analysis ◽

German Speaking

Although daily hassles have been of interest since the 1980s, only a few tools have been developed to assess them. Most of them are checklists or open-ended questions that are demanding for participants in panel surveys. Therefore, to facilitate daily hassles integration into large surveys, the aim of this study was to present a new tool assessing daily hassles, the LIVES–Daily Hassles Scale (LIVES-DHS), and to examine its relation to life satisfaction, in a sample of 1,170 French- and German-speaking adults living in Switzerland. In a first random subsample, we conducted a principal axis factor analysis, and the results suggested a five-factor solution. Furthermore, we conducted a confirmatory factor analysis on a second random subsample, and it supported the hierarchical factor structure of the scale. The LIVES-DHS consists of 18 items represented by five factors that describe five sources of daily hassles: financial, physical, relational, environmental, and professional. The bivariate correlations showed that the LIVES-DHS could differentiate the concept of daily hassles from associated concepts. Finally, the hierarchical regression showed that daily hassles negatively predicted life satisfaction and added a significant incremental variance beyond that accounted for by age, gender, household income, education level, and personality traits.

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Assessing the Five Factors of Personality in Adolescents

Assessment ◽

10.1177/1073191111410166 ◽

2011 ◽

Vol 19 (1) ◽

pp. 114-130 ◽

Cited By ~ 17

Author(s):

Generós Ortet ◽

Manuel I. Ibáñez ◽

Jorge Moya ◽

Helena Villa ◽

Ana Viruela ◽

...

Keyword(s):

Factor Analysis ◽

Psychometric Properties ◽

Factor Structure ◽

Big Five ◽

Neo Personality Inventory ◽

R Factor ◽

Five Factors ◽

Two Samples ◽

Neo Personality Inventory Revised ◽

Joint Factor Analysis

This article presents the development of a junior version of the Spanish (Castilian) NEO Personality Inventory–Revised (JS NEO) suitable for adolescents aged 12 to 18 years. The psychometric properties of the new JS NEO were investigated using two samples of 2,733 and 983 adolescents in Spain. The results showed that the adult NEO-PI-R factor structure was replicated with the junior version of the inventory and that the reliabilities of the scales were adequate. The cross-form correlations between the junior and the adult versions of the questionnaires indicated good equivalence indices. Furthermore, a joint factor analysis of the JS NEO and the Big Five Questionnaire–Children (BFQ-C) provided additional evidence for the construct validity of the JS NEO.

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Construct Validity of the WISC-V in Clinical Cases: Exploratory and Confirmatory Factor Analyses of the 10 Primary Subtests

Assessment ◽

10.1177/1073191118811609 ◽

2018 ◽

Vol 27 (2) ◽

pp. 274-296 ◽

Cited By ~ 2

Author(s):

Gary L. Canivez ◽

Ryan J. McGill ◽

Stefan C. Dombrowski ◽

Marley W. Watkins ◽

Alison E. Pritchard ◽

...

Keyword(s):

Factor Analysis ◽

Factor Model ◽

Clinical Sample ◽

Clinical Samples ◽

General Factor ◽

General Intelligence ◽

Confirmatory Factor Analyses ◽

Five Factors ◽

Confirmatory Factor ◽

Variance Estimates

Independent exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) research with the Wechsler Intelligence Scale for Children–Fifth Edition (WISC-V) standardization sample has failed to provide support for the five group factors proposed by the publisher, but there have been no independent examinations of the WISC-V structure among clinical samples. The present study examined the latent structure of the 10 WISC-V primary subtests with a large ( N = 2,512), bifurcated clinical sample (EFA, n = 1,256; CFA, n = 1,256). EFA did not support five factors as there were no salient subtest factor pattern coefficients on the fifth extracted factor. EFA indicated a four-factor model resembling the WISC-IV with a dominant general factor. A bifactor model with four group factors was supported by CFA as suggested by EFA. Variance estimates from both EFA and CFA found that the general intelligence factor dominated subtest variance and omega-hierarchical coefficients supported interpretation of the general intelligence factor. In both EFA and CFA, group factors explained small portions of common variance and produced low omega-hierarchical subscale coefficients, indicating that the group factors were of poor interpretive value.

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MMPI-A Scale-Level Factor Structure: Replication in a Clinical Sample

Assessment ◽

10.1177/107319119700400404 ◽

1997 ◽

Vol 4 (4) ◽

pp. 337-349 ◽

Cited By ~ 8

Author(s):

Robert P. Archer ◽

Radhika Krishnamurthy

Keyword(s):

Factor Analysis ◽

Factor Structure ◽

Minnesota Multiphasic Personality Inventory ◽

Clinical Sample ◽

Correlation Coefficients ◽

Normal Sample ◽

Clinical Settings ◽

Scale Level ◽

Similar Factor ◽

Structural Summary

The adolescent form of the Minnesota Multiphasic Personality Inventory (MMPI-A) Structural Summary was developed from the results of a scale-level factor analysis conducted by Archer, Belevich, and Elkins based on the MMPI-A normative sample. The present study examined the scale-level factor structure of the MMPI-A in a clinical sample of 358 adolescents receiving outpatient or inpatient psychiatric services. A Principal Factor Analysis was performed using the raw score intercorrelation matrix from the 69 scales and subscales of the MMPI-A. The procedure yielded nine factors that accounted for 75.6% of the total variance in scale and subscale raw scores. Results from this clinical sample indicated that seven of the eight dimensions that appear on the MMPI-A Structural Summary were replicated in terms of producing highly similar factor structure correlation coefficients with those reported by Archer, Belevich, et al. for a normal sample. The present findings support the use of the MMPI-A Structural Summary for the assessment of adolescents in clinical settings.

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Metacognitive beliefs in depressed in-patients: adaptation and validation of the short version of the Metacognitions Questionnaire (MCQ-30) for French clinical and non-clinical samples

Behavioural and Cognitive Psychotherapy ◽

10.1017/s1352465820000065 ◽

2020 ◽

Vol 48 (4) ◽

pp. 498-502

Author(s):

Axel Baptista ◽

Charlotte Soumet-Leman ◽

Arnauld Visinet ◽

Roland Jouvent

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Factor Structure ◽

Convergent Validity ◽

Clinical Sample ◽

Clinical Samples ◽

French Version ◽

Confirmatory Factor ◽

Metacognitive Beliefs ◽

Method Analysis

AbstractBackground:The short form of the Metacognitions Questionnaire (MCQ-30) is a brief multi-dimensional measure which explores the metacognitive processes and beliefs about worry and cognition that are central to the vulnerability and maintenance of emotional disorders.Aims:The first aim of the study was to create and validate a French version of the MCQ-30 in a non-clinical and a clinical sample of depressed in-patients.Method:A French adaptation of the MCQ-30 was administered to a sample of 467 individuals from the general population and 73 hospitalized patients with major depressive disorder. Internal consistency was measured by Cronbach’s alpha reliability coefficients. Factor structure was assessed using a confirmatory factor analysis on the non-clinical group and a multi-trait–multi-method analysis on the psychiatric group. Criterion validity was explored by comparing the scores of the two samples. Measures of rumination, worry and depression were used to explore convergent validity.Results:Confirmatory factor analysis in the non-clinical sample indicated that the French version of the MCQ-30 has the same factor structure as the MCQ-30’s original five-factor solution. In the clinical sample, the multi-trait–multi-method analysis revealed discrepancies with the original factor structure, and the MCQ-30 and its subscales were less reliable. Our results provide evidence of a convergent validity. The MCQ-30 scores were also able to discriminate between psychiatric and non-clinical samples.Conclusions:Our results show that the French version of the MCQ-30 is a valid instrument for measuring metacognitive beliefs in non-clinical population. Further research is needed to support its use among depressed in-patients.

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A Dimensional Analysis of the Yale-Brown Obsessive Compulsive Scale

Psychological Reports ◽

10.2466/pr0.1992.70.1.239 ◽

1992 ◽

Vol 70 (1) ◽

pp. 239-240 ◽

Cited By ~ 14

Author(s):

William Fals-Stewart

Keyword(s):

Factor Analysis ◽

Dimensional Analysis ◽

Principal Axis ◽

Obsessive Compulsive ◽

Principal Axis Factor Analysis ◽

Promax Rotation ◽

Principal Axis Factor

A principal axis factor analysis with a Promax rotation was performed on the Yale-Brown Obsessive Compulsive Scale. Although the scale has separate obsession and compulsion indices, only one factor was extracted. The psychometric implications of this finding are discussed.

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Explanatory and Confirmatory Factor Structure of Beck Anxiety Inventory in College Sample

European Psychiatry ◽

10.1016/j.eurpsy.2017.01.1876 ◽

2017 ◽

Vol 41 (S1) ◽

pp. S108-S108

Author(s):

S. Kareemi ◽

B.M. Alansari

Keyword(s):

Factor Analysis ◽

Factor Structure ◽

Clinical Sample ◽

Self Report ◽

Beck Anxiety Inventory ◽

College Sample ◽

Two Samples ◽

Confirmatory Factor ◽

Males And Females ◽

Competing Interest

IntroductionThe Beck anxiety inventory (BAI) is a widely used 21-item self-report inventory used to assess anxiety levels in adults and adolescents in both clinical and non-clinical populations. The values for each item are summed yielding an overall or total score for all 21 symptoms that can range between 0 and 63 points. A total score of 0–7 is interpreted as a “Minimal” level of anxiety; 8–15 as “Mild”; 16–25 as “Moderate”, and; 26–63 as “Severe”. There is no study until this date that examines the Explanatory and confirmatory factor structure factor structure of BAI in college student in Kuwaiti.ObjectivesThe current study investigated the original four-factor structure of the (BAI) in non-clinical sample of college students.MethodsSample one consisted of 540 males and females while sample two consisted of 600 males and females from Kuwait University undergraduates. The Arabic version of BAI was administered to participants. Explanatory factor analysis based on sample one and conformity factor analysis based on sample 2.ResultsThe results revealed four factor structures of BAI in the two samples of Kuwaiti students. Which included neurophysiological, subjective, autonomic, and panic factors.ConclusionsThe results of both confirmatory and exploratory factor analysis indicated that the original four-factor structures of the BAI do provide the best fit for the college sample.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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Helping Relationships From Significant Others Scale: Chinese Version

Clinical Nursing Research ◽

10.1177/10547738211060951 ◽

2021 ◽

pp. 105477382110609

Author(s):

Shu-Mei Chao ◽

Miaofen Yen ◽

Hsiu-Lan Teng ◽

Dhea Natashia ◽

Fang-Ru Yueh

Keyword(s):

Factor Analysis ◽

Healthy Lifestyle ◽

Significant Others ◽

Convenience Sample ◽

Helping Relationships ◽

Confirmatory Factor ◽

Principal Axis Factor Analysis ◽

Southern Taiwan ◽

Complications And Mortality ◽

Promax Rotation

Using the helping relationships from significant others (HRSO) scale assists patients, such as those with chronic kidney disease (CKD), in adopting a healthy lifestyle to decelerate disease progression, complications, and mortality. To study the efficacy of the scale, we recruited a convenience sample ( n = 250) of patients with CKD from a nephrology clinic in southern Taiwan. Principal axis factor analysis and a promax rotation revealed a 15-item, three-factor explanation of 68.44 % of the total variance. The confirmatory factor analysis showed a good fit. The Composite reliability was .91, .89, and .92 in the same factors. Cronbach’s alpha was .90 for the 15-item scale, with the 3 subscales ranging from .86 to .91. The split reliability was .73. The HRSO is a valid and reliable scale to measure significant others’ support of patients with CKD in maintaining a healthy lifestyle.

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Students' Perceptions of Their Self-Regulatory and other-Directed Study Strategies: A Factor Analysis

Psychological Reports ◽

10.2466/pr0.2000.86.1.102 ◽

2000 ◽

Vol 86 (1) ◽

pp. 102-108 ◽

Cited By ~ 6

Author(s):

M. E. Gredler ◽

L. S. Garavalia

Keyword(s):

Factor Analysis ◽

Exploratory Factor Analysis ◽

Self Efficacy ◽

Study Strategies ◽

Orientation Course ◽

Self Regulated Learning ◽

External Regulation ◽

Five Factors ◽

General Organization ◽

Promax Rotation

Edited items on the 24-item Self-efficacy for Self-regulated Learning Scale were combined with 7 items on external regulation developed in 1992 by Vermunt. The inventory was administered to 244 entering freshmen enrolled in a university orientation course. 19 students with incomplete responses were excluded from analysis. Exploratory factor analysis with promax rotation indicated the five factors of general organization and planning, external regulation, typical study strategies, environmental restructuring, and recall. Coefficients alpha were .87, .68, .74, .74, and .73, respectively.

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