A comparison of the thurstone method of multiple factors with the hotelling method of principal components

Psychometrika ◽  
1938 ◽  
Vol 3 (2) ◽  
pp. 61-67 ◽  
Author(s):  
C. H. McCloy ◽  
Eleanor Metheny ◽  
Virginia Knott
Keyword(s):  
Principal Components ◽  
Multiple Factors ◽  
Method Of Principal Components

Prediction indicators of the petroleum products quality using statistical methods

2021 ◽  
Author(s):  
Keyword(s):  
Petroleum Product ◽  
Principal Components ◽  
Autoregressive Model ◽  
Linear Models ◽  
Petroleum Products ◽  
Oil Refinery ◽  
Distributed Lag ◽  
Method Of Principal Components ◽  
Product Method

The possibility of the virtual analyzers models constructing of the petroleum products quality indicators for the atmospheric column of an oil refinery is considered. Comparison of linear models is carried out. It was found that more accurate and less costly are autoregressive models with a distributed lag. The use of such models at the facility improves the efficiency of obtaining information about the quality of petroleum products. Keywords virtual analyzers; autoregressive model; lag; factors; petroleum product; method of principal components; quality

How We Can Use Multivariate Statistical Analysis to Predict Creasing of Fabrics

2014 ◽  
Vol 543-547 ◽  
pp. 1930-1933
Author(s):  
Katarína Zelová ◽  
Ludmila Fridrichová
Keyword(s):  
Statistical Analysis ◽  
Principal Components ◽  
Latent Variables ◽  
Analysis Method ◽  
Pca Analysis ◽  
Multivariate Statistical ◽  
Method Of Principal Components ◽  
Innovative Method ◽  
Component Loading

The creasing of textiles was evaluated by means of the innovative method of measuring the angle of recovery. Our aim is to find statistically significant features contributing to the determination of creasing materials. For this purpose, to identify the inner structures of data, the method of PCA analysis was used a method with latent variables. By means of PCA analysis (method of principal components) the original nine characteristics can be reduced to two latent variables, i.e. principal components. The structure and links among the examined features are characterized by methods like: Scree Plot, Score and component loading, Scatrerplot and Dendrogram.

scholarly journals A New Approach to Comprehensive Assessing the Service Competitiveness of Motor Transport Enterprises Specializing in Municipal Passenger Transportation

TEM Journal ◽  
2020 ◽  
pp. 1126-1133
Author(s):  
Svitlana Moroz
Keyword(s):  
Principal Components ◽  
Group Composition ◽  
Expert Survey ◽  
New Approach ◽  
Motor Transport ◽  
Qualitative And Quantitative ◽  
Passenger Transportation ◽  
Method Of Principal Components

The author's method for assessing the level of the service competitiveness of motor transport enterprises specializing in municipal passenger transportation is developed and tested. A new approach to the formation of group composition and directly indicators of service competitiveness is offered. The author's method envisaged a combination of qualitative and quantitative aspects of the research, since the indicators' values were obtained as a result of the expert survey. During their elaboration the method of principal components was used to determine the weights of individual indicators and groups of the service competitiveness of motor transport enterprises.

Il Brief Index of Sexual Functioning for Women (BISF-W): validazione su un campione italiano

2009 ◽  
pp. 39-62
Author(s):  
Marta Panzeri ◽  
Lucia Ronconi ◽  
Maria Antonietta Donŕ ◽  
Gabriele Optale
Keyword(s):  
Sexual Function ◽  
Psychometric Properties ◽  
Key Words ◽  
Principal Components ◽  
Sexual Functioning ◽  
Cronbach Alpha ◽  
Method Of Principal Components ◽  
Oblimin Rotation ◽  
Italian Women ◽  
Exploratory Factorial Analysis

- The purpose of this research was to validate the Brief Index of Sexual Functioning for Women on the Italian women population. The study also presented an evaluation of its psychometric properties. The sample was made up of 1305 Italian women aged between 18 and 74 yrs. An Exploratory Factorial Analysis (EFA) was performed with the method of principal components and OBLIMIN rotation. Internal consistency was calculated by means of Cronbach alpha coefficients for each factor. On the basis of the sree-test 4 factors have been considered that explain 49% of the total variance: Sexuality of the couple (F1); Self-eroticism (F2); Dissatisfaction (F3); Anal sexuality (F4). F1 and F2, F1 and F4, and F2 and F4 result weakly correlated. Cronbach alpha results of .95 for F1, of .85 for F2, of .73 for F3, and of .80 for F4, attesting a good degree of homogeneity among the items. This research provided a validation of BISF-W as an instrument for evaluating sexual function in Italian women.Key words: sexual function, tests, women sexuality, BISF-W, sexuality of the couple, self-eroticism.Parole chiave: funzione sessuale, test, sessualitŕ femminile, BISF-W, sessualitŕ di coppia, sessualitŕ autoerotica

On Confounding of the Repression-Sensitization and Manifest Anxiety Scales

1972 ◽  
Vol 30 (2) ◽  
pp. 392-394 ◽  
Author(s):  
Robert D. Abbott
Keyword(s):  
College Students ◽  
Social Desirability ◽  
Principal Components ◽  
Discriminant Validity ◽  
Personality Inventory ◽  
Method Of Principal Components ◽  
Manifest Anxiety ◽  
True False

The MMPI and Edwards Personality Inventory were administered to 218 college students. Scores on the Manifest Anxiety (MA), Repression-Sensitization (R-S), and Social Desirability (SD) scales were scored from the MMPI and a non-overlapping, balanced True-False, non-pathological content social desirability (BSD) scale was scored from the items of the Edwards. The scales were intercorrelated and factor analyzed by the method of principal components. The results support a social desirability interpretation of scores on the four scales, and questioned the discriminant validity of the R-S and MA scales, as have other studies which were briefly reviewed.

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