A factor analysis procedure for large numbers of variables

2003 ◽  
Author(s):  
Jeff W. Johnson
1994 ◽  
Vol 165 (2) ◽  
pp. 278-280 ◽  
Author(s):  
Hans J. Eysenck

In the history of any scientific discipline, certain people stand out because they effectively defined the discipline, separated it from neighbouring specialities, and gave it a local habitation and a name. Three names stand out in the history (brief though it may be) of the scientific study of personality. The first is A. Heymans, a Dutch philosopher who almost single-handedly introduced the various theoretical, methodological and psychometric methods that characterise modern personality study (Eysenck, 1992). In the early years of this century, he put forward theories of specific personality dimensions, carried out rating studies on large numbers of subjects, correlated traits and devised a primitive method of factor analysis, derived factors that have stood the test of time (extraversion and neuroticism, to give them their modern names), and even went so far as to carry out psychological and physiological experiments to test deductions from these theories. As a reward for all this pioneering effort he is completely neglected in the modern literature; Hall et al (1985), in their Introduction to Theories of Personality gave much room to nonentities like Medard Boss, but make no mention of Heymans. He committed the ultimate crime of not being born in America, and must therefore be considered a non-person. Fortunately his theories and methodologies five on, largely in the London School.


1991 ◽  
Vol 7 (2) ◽  
pp. 138-162 ◽  
Author(s):  
Keith R. Williams ◽  
Rebecca Snow ◽  
Chris Agruss

This study investigated changes in kinematics with fatigue during intercollegiate competition, a noncompetitive track run, and a constant speed treadmill run. To account for changes in kinematics resulting from speed differences, regression equations for each individual generated from nonfatigue data were used to predict rested kinematics for speeds matching those of the fatigue conditions. A factor analysis procedure grouped 29 kinematic variables into sets of independent factors, and both factor variables and individual variables were analyzed for changes with fatigue, which were minimal. Only one significant difference was found in the factor variables between nonfatigue and fatigue states. Comparisons of specific kinematic variables showed a significant increase in step length with fatigue, an increased maximal knee flexion angle during swing, and an increased maximal thigh angle during hip flexion. While fatigue did not result in marked changes in kinematics for the group as a whole, changes for individuals were at times large.


1989 ◽  
Vol 54 (2) ◽  
pp. 214-225 ◽  
Author(s):  
Thomas W. Powell ◽  
Chao-Ying Joanne Peng

This paper describes a profile analysis procedure for use with the Carrow Auditory-Visual Abilities Test (CAVAT). The visual-auditory dichotomy, supported by factor analysis, is examined at one level of analysis. Critical values derived from the standard error of measurement of the difference (Sem/D) for each battery are provided allowing the identification of reliable and abnormal visual-auditory discrepancies. At another level of analysis, a procedure for profile analysis is outlined and critical values are included to facilitate the identification of relative strengths and weaknesses at the subtest level. Test results from 2 preschool children are examined and contrasted to illustrate the utility of the CAVAT in the identification of systematic modality preferences.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Wei-Chen Cheng ◽  
Philip E. Cheng ◽  
Michelle Liou

For any neuroimaging study in an institute, brain images are normally acquired from healthy controls and patients using a single track of protocol. Traditionally, the factor analysis procedure analyzes image data for healthy controls and patients either together or separately. The former unifies the factor pattern across subjects and the latter deals with measurement errors individually. This paper proposes a group factor analysis model for neuroimaging applications by assigning separate factor patterns to control and patient groups. The clinical diagnosis information is used for categorizing subjects into groups in the analysis procedure. The proposed method allows different groups of subjects to share a common covariance matrix of measurement errors. The empirical results show that the proposed method provides more reasonable factor scores and patterns and is more suitable for medical research based on image data as compared with the conventional factor analysis model.


2019 ◽  
Vol 28 (1) ◽  
pp. 57-63 ◽  
Author(s):  
V. V. Retivina

Labor values, professional attitudes, preferences and orientations largely determine the young people’s labor behavior. The article presents an analysis of modern students’ values in the field of labor and their place in the structure of basic values. The research was performed with the use of sociological data on the basis of a representative sample of 627 students ofNizhny Novgoroduniversities. The ambitions and requirements of the younger generation for future work and an assessment of the importance of the basic values are considered in detail. Five groups of individual labor mindsets are identified as a result of the factor analysis procedure application. Students’ attitude to their future profession and the level of students’ awareness of the labor conditions in this field have been considered. The research also revealed the influence of various agents on the young people’ professional choice, gender differences in this issue.


Psychometrika ◽  
1951 ◽  
Vol 16 (1) ◽  
pp. 67-74 ◽  
Author(s):  
Robert J. Wherry ◽  
Joel T. Campbell ◽  
Robert Perloff

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