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

Assessment ◽  
2018 ◽  
Vol 27 (2) ◽  
pp. 274-296 ◽  
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.

scholarly journals Psychometric Properties of the Reynolds Child Depression Scale in Community and Clinical Samples

2008 ◽  
Vol 11 (2) ◽  
pp. 641-649 ◽  
Author(s):  
Anna Figueras Masip ◽  
Juan Antonio Amador Campos ◽  
Joan Guàrdia Olmos
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Clinical Sample ◽  
Five Factor Model ◽  
Community Sample ◽  
Depression Scale ◽  
Clinical Samples ◽  
Child Depression ◽  
Confirmatory Factor

The factor structure of the Reynolds Child Depression Scale (RCDS; Reynolds, 1989), analyzed by confirmatory factor analysis and the scale's psychometric characteristics in a sample of 315 participants (140 boys and 175 girls) and a clinical sample of 62 participants (37 boys and 25 girls) between 10 and 12 years old, are presented. Two models are tested with confirmatory factor analysis: a one-factor model and a five-factor model. Both models show a good fit, but the one-factor model was chosen because it is the most parsimonious. The reliability coefficient ranged from .87 (at test) to .89 (at retest) in the community sample, and was .90 in the clinical sample (at test). Test-retest reliability was .66 in the community sample. Concurrent validity with other self-reports that measure depressive symptomatology was high, both in the community sample (.76) and the clinical sample (.71). There were no significant sex differences but there were differences due to age (school grade).

scholarly journals Development and Psychometric Evaluation of the Sport Psychology Attitudes—Revised Form: A Multiple Group Investigation

2002 ◽  
Vol 16 (3) ◽  
pp. 272-290 ◽  
Author(s):  
Scott B. Martin ◽  
Michael Kellmann ◽  
David Lavallee ◽  
Stephen J. Page
Keyword(s):  
Factor Analysis ◽  
Sport Psychology ◽  
Female Athletes ◽  
Factor Model ◽  
Psychometric Evaluation ◽  
Late Adolescent ◽  
Confirmatory Factor Analyses ◽  
Multiple Group ◽  
Confirmatory Factor ◽  
Cultural Preference

Exploratory and confirmatory factor analyses were conducted to develop a revised form of the Attitudes Toward Seeking Sport Psychology Consultation Questionnaire (ATSSPCQ; Martin, Wrisberg, Beitel, & Lounsbury, 1997). The 50-item ATSSPCQ was administered to 533 athletes (M = 18.03 ± 2.71). Exploratory alpha factor analysis with varimax rotation produced four factors: (a) stigma tolerance, (b) confidence in sport psychology consultation, (c) personal openness, and (d) cultural preference. The new questionnaire, the Sport Psychology Attitudes - Revised form (SPA-R), was then administered to 379 United States, 234 United Kingdom, and 443 German athletes (M = 20.37 ± 5.13). Confirmatory factor analysis demonstrated the factorial validity of the four-factor model for the SPA-R for male and female athletes, late adolescent

scholarly journals Factor Structure and Gender Invariance Testing for the Sport Anxiety Scale-2 (SAS-2)

2018 ◽  
Vol 12 (2) ◽  
pp. 201-217
Author(s):  
Leilani A. Madrigal ◽  
Vincenzo Roma ◽  
Todd Caze ◽  
Arthur Maerlender ◽  
Debra Hope
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Online Survey ◽  
Factor Model ◽  
Anxiety Scale ◽  
Negative Evaluation ◽  
Psychometric Validation ◽  
Confirmatory Factor Analyses ◽  
Analysis Group ◽  
Confirmatory Factor

This study aimed to provide further psychometric validation of the Sport Anxiety Scale-2 (SAS-2) by assessing the factor structure, invariance across gender, and convergent and divergent validity of the SAS-2 by correlating both related (i.e., anxiety sensitivity, brief fear of negative evaluation, intolerance of uncertainty, and negative affect) and unrelated constructs (i.e., positive affect, self-confidence). A total of 542 current and former competitive athletes completed a questionnaire through Amazon’s Mechanical Turk system. All data were collected via online survey. Participants were randomly assigned to an exploratory factor analysis (n = 271) and confirmatory factor analysis group (n = 271). Results indicated that both exploratory and confirmatory factor analyses supported the three-factor model of anxiety involving somatic anxiety, worry, and concentration disruption. Additionally, this study found the SAS-2 to be reliable, gender invariant, and have strong construct validity. Our findings extend the generalizability of the SAS-2 in more varied populations of athletic backgrounds.

Exploratory and Confirmatory Factor Analyses of the Asian American Racism-Related Stress Inventory

Assessment ◽  
2011 ◽  
Vol 19 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Matthew J. Miller ◽  
Jungeun Kim ◽  
Grace A. Chen ◽  
Alvin N. Alvarez
Keyword(s):  
Factor Analysis ◽  
Asian American ◽  
Factor Model ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Stress Inventory ◽  
Related Stress ◽  
Three Factor ◽  
American Racism

The authors conducted exploratory and confirmatory factor analyses of the Asian American Racism-Related Stress Inventory (AARRSI) to further examine the underlying factor structure in a total sample of 1,273 Asian American participants. In the first step of analysis, an exploratory factor analysis with 651 participants yielded a 13-item two-factor solution to the data. In the second step, a confirmatory factor analysis with 622 participants supported both the 13-item two-factor model and the original 29-item three-factor model in the cross-validation sample and generational and ethnicity analyses. The two-factor and three-factor models produced internal consistency estimates ranging from .81 to .95. In addition, the authors examined convergent and criterion related evidence for 13-item and 29-item versions of the AARRSI. Given its brief nature and generally good fit across generational status and ethnicity, the authors suggest that the 13-item AARRSI might be advantageous for research and assessment endeavors.

Hopelessness and terminal illness: The construct of hopelessness in patients with advanced AIDS

2004 ◽  
Vol 2 (1) ◽  
pp. 43-53 ◽  
Author(s):  
BARRY ROSENFELD ◽  
CHRISTOPHER GIBSON ◽  
MICHAEL KRAMER ◽  
WILLIAM BREITBART
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Terminal Illness ◽  
Factor Model ◽  
Clinical Samples ◽  
Data Sets ◽  
Two Samples ◽  
Confirmatory Factor ◽  
Beck Hopelessness Scale ◽  
Life Threatening

Objective: Understanding the construct of hopelessness in the context of a life-threatening or terminal illness is a complex and challenging undertaking. The objective of this study was to examine the construct of hopelessness in patients with advanced AIDS by examining the structure of the Beck Hopelessness Scale in this specific population.Methods: For the past three decades, the primary measure used to study hopelessness in a variety of populations has been the Beck Hopelessness Scale. Several factor analytic studies have been published using this scale, with studies of nonclinical samples typically describing a two-factor model (optimism and pessimism), whereas clinical samples have consistently generated a third factor (lack of motivation to make changes). We used confirmatory factor analysis to analyze two data sets in patients with AIDS.Results: Confirmatory factor analysis of the Beck Hopelessness Scale in two samples of patients with far advanced AIDS revealed a clear superiority for a three-factor model.Significance of results: The Beck Hopelessness Scale has unique characteristics when applied to a terminally ill population. The implications of these results for studies of terminal illness are discussed.

scholarly journals How do neuropsychologists define cognitive constructs? Further thoughts on limitations of factor analysis used with normal or mixed clinical populations

2004 ◽  
Vol 10 (7) ◽  
pp. 1020-1021 ◽  
Author(s):  
MARK W. JACOBSON ◽  
DEAN C. DELIS ◽  
JOANNE M. HAMILTON ◽  
MARK W. BONDI ◽  
DAVID P. SALMON
Keyword(s):  
Factor Analysis ◽  
Clinical Samples ◽  
Factor Analyses ◽  
Cognitive Constructs ◽  
Confirmatory Factor Analyses ◽  
Factor Analytic ◽  
Confirmatory Factor ◽  
Conceptual Relationships ◽  
Homogenous Population ◽  
Clinical Populations

In a recent study, we empirically demonstrated limitations in traditional ways that psychologists have used factor analysis to define cognitive constructs (Delis et al., 2003). Our criticism of factor analysis was not directed at this statistical method per se, but rather at how it has often been employed by psychologists to test cognitive constructs. Specifically, we pointed out shortcomings in using this techniquewith normal or mixed clinical populations. We argued that the factor-analytic studies of memory tests with normal or mixed clinical populations often yielded solutions in which measures of immediate and delayed memory loaded on the same factor. This particular use of factor analysis can mask important distinctions between critical cognitive functions that have been demonstrated using other research methods, such as experimental manipulations or case studies. We then conducted a factor-analytic study that empirically demonstrated that, whereas immediate and delayed memory measures load on the same factor when using normal or mixed clinical samples, these measures load onseparatefactors when using a homogenous population of patients with Alzheimer's disease (AD). We drew the conclusion that factor analytic techniques can still be used asonemethod for exploring conceptual relationships, but only if these methods are used as part of a systematic, programmatic exploration involving separate confirmatory factor analyses using multiple homogenous patient populations. In the first published reply to our study, Larrabee (2003) pointed out other limitations, stating that application of factor-analytic techniques to a single test that yields multiple measures may result in global, simplistic solutions due to method variance, which is the tendency of different variables from the same test to correlate significantly.

scholarly journals SOLOMON: a method for splitting a sample into equivalent subsamples in factor analysis

2021 ◽  
Author(s):  
Urbano Lorenzo-Seva
Keyword(s):  
Factor Analysis ◽  
Multivariate Regression ◽  
Factor Model ◽  
Multivariate Regression Analysis ◽  
Splitting Methods ◽  
Simulation Studies ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Analysis Process ◽  
Confirmatory Factor

AbstractNowadays, exploratory and confirmatory factor analyses are two important consecutive steps in an overall analysis process. The overall analysis should start with an exploratory factor analysis that explores the data and establishes a hypothesis for the factor model in the population. Then, the analysis process should be continued with a confirmatory factor analysis to assess whether the hypothesis proposed in the exploratory step is plausible in the population. To carry out the analysis, researchers usually collect a single sample, and then split it into two halves. As no specific splitting methods have been proposed to date in the context of factor analysis, researchers use a random split approach. In this paper we propose a method to split samples into equivalent subsamples similar to one that has already been proposed in the context of multivariate regression analysis. The method was tested in simulation studies and in real datasets.

Use of the Sport Orientation Questionnaire with Wheelchair Athletes: Examination of Evidence for Validity

2002 ◽  
Vol 95 (1) ◽  
pp. 197-207 ◽  
Author(s):  
E. K. Skordilis ◽  
C. Sherrill ◽  
A. Yilla ◽  
D. Koutsouki ◽  
N. A. Stavrou
Keyword(s):  
Factor Analysis ◽  
Goal Orientation ◽  
Factor Model ◽  
Five Factor Model ◽  
Evidence Theory ◽  
Confirmatory Factor Analyses ◽  
Wheelchair Athletes ◽  
Confirmatory Factor ◽  
The Usa ◽  
Sport Orientation

The factor structure of the Sport Orientation Questionnaire with three factors of competitiveness, win orientation, and goal orientation was examined in a sample of 243 wheelchair athletes from the USA. Based on sample-specific validity evidence theory, it was hypothesized that the exploratory and confirmatory factor analyses would yield evidence on validity for wheelchair athletes who were different from able-bodied athletes. Exploratory factor analysis confirmed the hypothesis with a clear fourth and a questionable fifth factor. A confirmatory factor analysis did not adequately explain the new five-factor model. The new emerging fourth and fifth factors separated the competitiveness element of the questionnaire in ‘self-referenced’ and ‘other-referenced’ elements of competitiveness. Results are discussed in terms of demographic characteristics of the sample of wheelchair athletes.

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

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.

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.

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