Beyond principal components: a critical comparison of factor analysis methods for subspace modelling in chemistry

2021 ◽  
Vol 13 (37) ◽  
pp. 4188-4219
Author(s):  
Peter D. Wentzell ◽  
Cannon Giglio ◽  
Mohsen Kompany-Zareh
Keyword(s):  
Analytical Chemistry ◽  
Factor Analysis ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Critical Comparison ◽  
Analysis Methods ◽  
Analysis Tools ◽  
Components Analysis

Principal components analysis (PCA) is widely used in analytical chemistry, but is only one type of broader range of factor analysis tools that are described in this article.

Preliminary Examination of Psychometric Properties of the Korean Version of the Specific Interpersonal Trust Scale

2007 ◽  
Vol 100 (2) ◽  
pp. 355-364 ◽  
Author(s):  
Sook-Jeong Lee
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Interpersonal Trust ◽  
Confirmatory Factor ◽  
Components Analysis ◽  
Original Scale ◽  
Trust Scale

The purpose of this study was to examine the psychometric properties of the Specific Interpersonal Trust scale of Johnson-George and Swap in Korean samples as a part of the process of providing an exemplary tool for intercultural studies of trust. A translated version of the original scale was administered to 337 university students (157 males, 180 females) in Seoul, Korea. Data were subjected to a principal components analysis and a confirmatory factor analysis. In principal components analysis for the Korean sample ( n = 167), three factors were identified and labeled: Overall Trust (Cronbach α=.89), Emotional Trust (Cronbach α = .88), and Reliableness (Cronbach α=.84). A confirmatory factor analysis ( n=170) showed that the three-factor model was valid for the sample (χ2/ df= 1.78, RMR=.06, RMSEA = .07, TLI=.92, CFI=.93). Internal consistency reliability and factorial validity were satisfactory in the case of the Korean sample. The Korean version of the Specific Interpersonal Trust Scale made good use of three factors of trust and appeared to be valid without sex differences, while the original scale distinguished the Males subscale from the Females subscale. Implications and limitations of this study were discussed.

Factor Analysis of Zuckerman's Sensation-Seeking Scale

1975 ◽  
Vol 37 (3) ◽  
pp. 849-850 ◽  
Author(s):  
David W. Stewart ◽  
G. Mac Griffith
Keyword(s):  
Factor Analysis ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Sensation Seeking ◽  
Factorial Validity ◽  
Varimax Rotation ◽  
Components Analysis ◽  
Sensation Seeking Scale

A principal components analysis of Sensation-seeking Scale IV ( n = 156 undergraduates) followed by a varimax rotation provided some support to the factorial validity of some of Zuckerman's subscales. It is suggested that the dimensions of sensation seeking were arbitrarily limited in earlier work on the problem.

scholarly journals Multivariate Characterization of Hydrogen Balmer Emission in Cataclysmic Variables

2006 ◽  
Vol 23 (3) ◽  
pp. 106-118 ◽  
Author(s):  
Gordon E. Sarty ◽  
Kinwah Wu
Keyword(s):  
Principal Components Analysis ◽  
Discriminant Function ◽  
Principal Components ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Cataclysmic Variables ◽  
Data Set ◽  
Analysis Methods ◽  
Wide Range ◽  
Components Analysis

AbstractThe ratios of hydrogen Balmer emission line intensities in cataclysmic variables are signatures of the physical processes that produce them. To quantify those signatures relative to classifications of cataclysmic variable types, we applied the multivariate statistical analysis methods of principal components analysis and discriminant function analysis to the spectroscopic emission data set of Williams (1983). The two analysis methods reveal two different sources of variation in the ratios of the emission lines. The source of variation seen in the principal components analysis was shown to be correlated with the binary orbital period. The source of variation seen in the discriminant function analysis was shown to be correlated with the equivalent width of the Hβ line. Comparison of the data scatterplot with scatterplots of theoretical models shows that Balmer line emission from T CrB systems is consistent with the photoionization of a surrounding nebula. Otherwise, models that we considered do not reproduce the wide range of Balmer decrements, including ‘inverted’ decrements, seen in the data.

A Revised Model of Dickman’s Dysfunctional Impulsivity Scale

2013 ◽  
Vol 34 (3) ◽  
pp. 138-142 ◽  
Author(s):  
Lee Di Milia
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Measurement Properties ◽  
Full Sample ◽  
Confirmatory Factor ◽  
Dysfunctional Impulsivity ◽  
Components Analysis ◽  
Percentile Scores

The literature suggests limitations to Dickman’s dysfunctional impulsivity (DI) scale. These concerns are centered on the measurement properties of this scale and on its reliance on student samples. To address these criticisms, the DI was administered to a random adult sample (n = 649, mean age 43.83 ± 13.46 years), 13% of whom were university educated. Confirmatory factor analysis (CFA) did not support the fit of the posited 12-item DI scale. The full sample was randomly divided. Principal components analysis was applied to one sample (n = 328), resulting in a 9-item model. This new model was then replicated using CFA in the second sample (n = 321). Cronbach’s α for the 9-item model was 0.84 and item-total correlations were > 0.39. The 30th and 70th percentile scores from the DI distribution of scores were used to categorize participants with low and high DI. The high-DI group was associated with significantly more driving distractions and lane crossings.

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