scholarly journals Construct validity of multidimensional personality questionnaire (MPQ)

Psihologija ◽  
2007 ◽  
Vol 40 (2) ◽  
pp. 211-228
Author(s):  
Dusanka Mitrovic ◽  
Snezana Smederevac
Keyword(s):  
Principal Component Analysis ◽  
Factor Structure ◽  
Principal Component ◽  
Component Analysis ◽  
Higher Order ◽  
Negative Emotionality ◽  
Personality Questionnaire ◽  
Reinforcement Sensitivity Theory ◽  
Assumed Similarity ◽  
Multidimensional Personality Questionnaire

The paper presents two studies aimed at the examination of the factor structure of The Multidimensional Personality Questionnaire (MPQ) and joint factor structure of the scales of MPQ and SPSRQ (The Sensitivity to Punishment and Sensitivity to Reward Questionnaire). In the first research conducted on the sample of 1127 participants of both sexes, age 18 to 67, the results of the principal component analysis of the MPQ scales point to the existence of three higher-order dimensions, named General Adaptedness, Psychopathic Tendencies and Negative Emotionality. These dimensions correspond to the dimensions of the Eysenck?s PEN model to the greater extent than they achieve the assumed similarity with the dimensions of the Reinforcement Sensitivity Theory. In the second study conducted on the sample of 199 respondents of both sexes, age 18 to 59, the results of the joint principal component analysis of the MPQ and SPSRQ scales point to the existence of three higher order dimensions, which correspond to the Tellegen?s Positive Emotionality, Negative Emotionality, and Constraint. .

scholarly journals Dimensionality Reduction of Dynamic Mesh Animations Using HO-SVD

2013 ◽  
Vol 3 (4) ◽  
pp. 277-289 ◽  
Author(s):  
Michał Romaszewski ◽  
Piotr Gawron ◽  
Sebastian Opozda
Keyword(s):  
Principal Component Analysis ◽  
Singular Value Decomposition ◽  
Dimensionality Reduction ◽  
Principal Component ◽  
Component Analysis ◽  
Higher Order ◽  
Singular Value ◽  
3D Mesh ◽  
Reduction Of Dimensionality ◽  
Value Decomposition

Abstract This work presents an analysis of Higher Order Singular Value Decomposition (HOSVD) applied to reduction of dimensionality of 3D mesh animations. Compression error is measured using three metrics (MSE, Hausdorff, MSDM). Results are compared with a method based on Principal Component Analysis (PCA) and presented on a set of animations with typical mesh deformations.

The Factor Structure in the Cognitive Battery of the Structured Interview for the Diagnosis of Dementia of the Alzheimer Type, Multi-Infarct Dementia, and Dementias of Other Aetiology

2001 ◽  
Vol 13 (3) ◽  
pp. 311-323 ◽  
Author(s):  
Martin Kockler ◽  
Reinhard Heun
Keyword(s):  
Principal Component Analysis ◽  
Factor Structure ◽  
Short Term Memory ◽  
Principal Component ◽  
Component Analysis ◽  
Structured Interview ◽  
Elderly Subjects ◽  
Alzheimer Type ◽  
Diagnosis Of Dementia ◽  
Icd 10

The Structured Interview for the Diagnosis of Dementia of the Alzheimer Type, Multi-Infarct Dementia, and Dementias of Other Aetiology (SIDAM) includes the Mini-Mental State Examination extended by a number of additional items and allows the diagnosis of dementia according to ICD-10 and DSM-III-R criteria. The authors proposed to summarize selected items to form syndrome scores. These syndrome scores are supposed to measure different aspects of cognition. However, these syndrome scores have not been empirically confirmed. The present article presents a principal component analysis performed on the SIDAM test performances of 456 elderly subjects. The subjects were recruited in the course of a family study on dementia of the Alzheimer's type and depression in the elderly. One hundred four of these subjects met the criteria of dementia according to the ICD-10 criteria. Thus, the sample represnets the population in which the SIDAM is frequently used in routine clinical and epidemiological studies. We found a six-factor structure accounting for 57.1% of the variance with some similarities to the predefined structure of different syndrome scores proposed by the authors of the SIDAM. The first factor found in principal component analysis represented different higher cortical functions that all depend on language and comprehension. Three factors covered three different aspects of memory, i.e., orientation for time, orientation for place, and short-term memory. One factor represented visuoconstructive skills and, finally, there was a factor representing intellectual abilities and education. This empirically found factor structure characterizes the dimensions of cognitive deficits in demented subjects measured by the SIDAM. Syndrome scores should reflect these dimensions. Consequently, we propose to consider the empirically found factor structure in a new version of the SIDAM.

scholarly journals Factorial structure analysis of the Torrance Test with Portuguese students

2013 ◽  
Vol 30 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Ricardo Primi ◽  
Tatiana de Cássia Nakano ◽  
Maria de Fátima Morais ◽  
Leandro Silva Almeida ◽  
Ana Paula Marques David
Keyword(s):  
Principal Component Analysis ◽  
Internal Structure ◽  
Factor Structure ◽  
Structure Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Factorial Structure ◽  
Grouped Variables

In order to verify the factorial structures of the Torrance verbal and figural tests, two activities of each instrument were applied with 193 students from the 10th and 12th years of education in Portugal. We tried to demonstrate that the collinearity of the fluency and flexibility variables could create methodological artifacts that hinder the understanding of the internal structure underlying the test. The principal component analysis without control of collinearity indicated a solution composed of four basic factors that separeted activities. Controlling for collinearity, we found a new solution, which also contained four factors that, unlike the previous result, grouped variables with similar processes but of different activities. The verbal and figural content is also an important element in the factor structure. This new arrangement makes more sense with the theory that underlies the instruments separating the different processes and content which are being measured by the activities.

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