Repairing Tom Swift's Electric Factor Analysis Machine

Preacher, Kristopher J.; MacCallum, Robert C.

doi:10.1207/s15328031us0201_02

Cited by 684 publications

(498 citation statements)

References 66 publications

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“…In our results, only three items had a value below .30 on its target factor. Preacher and MacCallum (2003) recommend using statistical significance and confidence intervals, such as the ones obtained with ESEM, not just the common recommendation that factor loadings are meaningful when they exceed .30 or .40. The results show that forty-eight out of fifty target loadings were relevant according to the confidence intervals.…”

Section: Discussionmentioning

confidence: 99%

Big Five Personality Trait Short Questionnaire: Preliminary Validation with Spanish Adults

et al. 2017

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There are two major advantages of the Big Five Personality Trait Short Questionnaire (BFPTSQ) over other non-commercial short Five-Factor Model personality measures: widen conceptual breadth, and its use in both adolescents and adults. The aim of this study was to explore the psychometric properties of this questionnaire in an adult Spanish sample. Factor, convergent (using the NEO-PI-R), and criterion (using scales that assess happiness and alcohol consumption) validities, internal consistency as well as test-retest reliabilities of the BFPTSQ were evaluated. The sample was composed of 262 participants; a subsample of 71 individuals also answered the NEO-PI-R, and another subsample of 42 respondents filled the BFPTSQ out again a month later. The results indicated that the expected factor structure was recovered using exploratory structural equation modeling (ESEM). The ESEM showed satisfactory fit indices, with CFI and TLI around .90, as well as RMSEA and SRMR below .06. Moreover, coefficient alphas ranged from .75 to .85 and test-retest correlations ranged from .72 to .93 (p < .001). Regarding the associations of BFPTSQ with NEO-PI-R scales, the correlations with the broad-trait scales ranged from .57 to .80 (p < .001), and 27 out of 30 correlations with the facet scales were significant (p < .05 or lower). We also found that extraversion and emotional stability were associated with subjective well-being (p < .001), and extraversion and conscientiousness were related to alcohol consumption (p < .01). This study supports the construct validity of the Spanish version of the BFPTSQ in adults.

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Section: Discussionmentioning

confidence: 99%

Big Five Personality Trait Short Questionnaire: Preliminary Validation with Spanish Adults

et al. 2017

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“…This study investigates the factor structure of DTI parameters. We believe that explorative factor analysis (EFA) is more suitable than the PCA that previous studies have used because the main purpose of this study is not merely to reduce data but to identify unobservable latent variables that account for the shared variances (covariance) among variables that incorporate error of measurement (18).…”

Section: Discussionmentioning

confidence: 99%

Common and heritable components of white matter microstructure predict cognitive function at 1 and 2 y

Lee

Steiner

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

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Previous studies indicate that the microstructure of individual white matter (WM) tracts is related to cognitive function. More recent studies indicate that the microstructure of individual tracts is highly correlated and that a property common across WM is related to overall cognitive function in adults. However, little is known about whether these common WM properties exist in early childhood development or how they are related to cognitive development. In this study, we used diffusion tensor imaging (DTI) to investigate common underlying factors in 12 fiber tracts, their relationship with cognitive function, and their heritability in a longitudinal sample of healthy children at birth (n = 535), 1 y (n = 322), and 2 y (n = 244) of age. Our data show that, in neonates, there is a highly significant correlation between major WM tracts that decreases from birth to 2 y of age. Over the same period, the factor structure increases in complexity, from one factor at birth to three factors at age 2 y, which explain 50% of variance. The identified common factors of DTI metrics in each age group are significantly correlated with general cognitive scores and predict cognitive ability in later childhood. These factors are moderately heritable. These findings illustrate the anatomical differentiation of WM fiber from birth to 2 y of age that correlate with cognitive development. Our results also suggest that the common factor approach is an informative way to study WM development and its relationship with cognition and is a useful approach for future imaging genetic studies.factor analysis | white matter | DTI | cognition | heritability I ndividual differences in white matter (WM) microstructure have been shown to be related to cognitive functions in adults (1, 2) and children (3-5). Diffusion tensor imaging (DTI) parameters in different WM regions or tracts are variably associated with processing speed, general intelligence, and higher-order cognitive abilities (1-5).To date, the majority of DTI studies of WM microstructure have analyzed each tract or WM region independently. However, more recent studies clearly demonstrate that fractional anisotropy (FA) and other DTI metrics of WM microstructure correlate highly across WM tracts and across a wide age range, including neonates, older children, and adults (6-8). Furthermore, studies indicate that a general factor derived by principal component analyses (PCA) describing common variance in FA across WM tracts is associated with information processing speed (9) as well as general intelligence (10), at least in older adults. In children ages 8 to 16 y, three principal components of FA have been identified; the one corresponding to the corpus callosum was significantly related to IQ (11).The identification of one or more common WM factors that influence variation in multiple WM tracts or regions is important for several reasons. Such factors could prove to be a good target for imaging genetic studies, as one would expect genetic variants influencing WM development and function ...

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“…Cattell's scree test criteria [48] and Kaiser's criteria [49] were considered to determine the number of factors to extract. Although the unrotated solution revealed 10 factors with eigenvalues >1, use of the scree plot is considered a more accurate determination of which factors to retain [50]. As the scree plot demonstrated a break in the slope between factors three and four, a three factor solution was indicated, which accounted for 48.78 per cent of the variance (range of eigenvalues 2.28 -16).…”

Section: Factor Structure Of the Hfbsmentioning

confidence: 96%

The Hot Flush Beliefs Scale: A tool for assessing thoughts and beliefs associated with the experience of menopausal hot flushes and night sweats

2008

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Repairing Tom Swift's Electric Factor Analysis Machine

Cited by 684 publications

References 66 publications

Big Five Personality Trait Short Questionnaire: Preliminary Validation with Spanish Adults

Big Five Personality Trait Short Questionnaire: Preliminary Validation with Spanish Adults

Common and heritable components of white matter microstructure predict cognitive function at 1 and 2 y

The Hot Flush Beliefs Scale: A tool for assessing thoughts and beliefs associated with the experience of menopausal hot flushes and night sweats

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