A latent trait analysis of the eysenck personality questionnaire in an elderly community sample

1995 ◽  
Vol 18 (6) ◽  
pp. 739-747 ◽  
Author(s):  
A. Mackinnon ◽  
A.F. Jorm ◽  
H. Christensen ◽  
L.R. Scott ◽  
A.S. Henderson ◽  
...  
Keyword(s):  
Community Sample ◽  
Latent Trait ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
Trait Analysis

Diagnoses of dementia and depression: a latent trait analysis of their performance

1987 ◽  
Vol 17 (3) ◽  
pp. 667-675 ◽  
Author(s):  
D. A. Grayson ◽  
A. S. Henderson ◽  
D. W. K. Kay
Keyword(s):  
Community Sample ◽  
Latent Trait ◽  
Prevalence Rates ◽  
Diagnostic Systems ◽  
Diagnostic Categories ◽  
Trait Analysis ◽  
Latent Trait Model ◽  
Trait Model

SynopsisFour diagnostic systems for dementia and depression are compared on a community sample of 274 subjects. They are: DSM-III, Gurland's system, AGECAT and a clinician's ratings. These are compared, not in the usual terms of prevalence rates and cross-tabulations of diagnostic categories, but by examining the performance of each system in terms of hypothetical, continuously distributed traits underlying the symptoms of dementia and depression, as in the latent trait model described by Duncan-Jones et al. (1986). Each diagnosis is characterized by the level of severity (threshold) at which it operates, and its accuracy. Evidence is given to support a dimensional view of dementia.

A latent trait analysis of an inventory designed to detect symptoms of anxiety and depression using an elderly community sample

1994 ◽  
Vol 24 (4) ◽  
pp. 977-986 ◽  
Author(s):  
A. Mackinnon ◽  
H. Christensen ◽  
A. F. Jorm ◽  
A. S. Henderson ◽  
R. Scott ◽  
...  
Keyword(s):  
Depressive Disorders ◽  
Community Sample ◽  
Latent Trait ◽  
Population Sample ◽  
Anxiety And Depression ◽  
Elderly Persons ◽  
Trait Analysis ◽  
Icd 10 ◽  
Acceptable Method ◽  
Third Dimension

SynopsisAn 18-item inventory designed by Goldberget al.(1987) to detect symptoms of anxiety and depression was administered to an elderly general population sample. Latent trait analysis was used to assess the dimensionality of the inventory and the location and discriminatory ability of the symptoms. The items showed different patterns of discrimination in this group compared to the sample of general practice attenders on which the inventory was developed. Overall, the items did define two correlated dimensions of anxiety and depression. In addition, a third dimension of sleep disturbance was detected. Both individual scales and the total symptom scores were sensitive and relatively specific detectors of depressive disorders assessed according to ICD-10 and DSM-III-R criteria. The retention of sleep items on their original scales did not affect the sensitivity of the scales to detect depressive disorders. A two-step administration procedure suggested for use in the administration of the scales was investigated but found to be sensitive to differences between the current sample and the sample on which the inventory was developed. This symptom inventory can be recommended for use in epidemiological investigations as a brief, valid and acceptable method of detecting elevated levels of anxiety and depression in elderly persons.

Stability of Personality Traits and Psychological Distress over Six Years

1994 ◽  
Vol 78 (1) ◽  
pp. 89-90 ◽  
Author(s):  
Robbert Sanderman ◽  
Adelita V. Ranchor
Keyword(s):  
Psychological Distress ◽  
Personality Traits ◽  
General Health ◽  
Community Sample ◽  
General Health Questionnaire ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
Health Questionnaire ◽  
Initial Testing

Personality traits were quite stable over 6 yr. among 225 subjects from a community sample, wheteas psychological distress of initial testing could hardly explain scores 6 yr. later. Findings support the trait-state distinction of the measures under study, the Eysenck Personality Questionnaire and the General Health Questionnaire-30.

Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue
Keyword(s):  
Structural Equation Modeling ◽  
Negative Correlation ◽  
Structural Equation ◽  
Error Score ◽  
Classical Test Theory ◽  
Test Theory ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

Cross-Cultural Comparisons of Personality: The Netherlands and England

1991 ◽  
Vol 69 (3_suppl) ◽  
pp. 1091-1096 ◽  
Author(s):  
R. Sanderman ◽  
S. B. G. Eysenck ◽  
W. A. Arrindell
Keyword(s):  
The Netherlands ◽  
Social Desirability ◽  
Cross Cultural ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
Dutch Version ◽  
Men And Women ◽  
Personality Variables ◽  
National Differences ◽  
Neuroticism Scale

401 men and 475 women completed the Dutch version of the Eysenck Personality Questionnaire. Factor comparisons all exceeded 0.97 so that the factors of Psychoticism, Extraversion, Neuroticism, and Social Desirability are deemed to be identical in the two countries, England and The Netherlands. Sex differences conform with those in most other cross-cultural studies, namely, men score higher than women on Psychoticism and Extraversion, but lower on Neuroticism and Social Desirability. Reliabilities (alpha coefficients) are satisfactorily high for all factors, although the lowest value (0.62) for the Psychoticism dimension for Dutch men appears somewhat weak. National differences on personality variables were only significant for the Neuroticism scale and Social Desirability; Dutch men and women scored lower on the Neuroticism scale than their English counterparts but higher on Social Desirability.

Cross-Cultural Comparison of Personality: New Zealand Children and English Children

1978 ◽  
Vol 42 (3_suppl) ◽  
pp. 1111-1116 ◽  
Author(s):  
D. H. Saklofske ◽  
S. B. G. Eysenck
Keyword(s):  
New Zealand ◽  
Cross Cultural ◽  
Personality Structure ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
Cultural Comparison ◽  
Personality Dimensions ◽  
Cross Cultural Comparison ◽  
Age Trends ◽  
High Degree

The recently published Junior Eysenck Personality Questionnaire contains scales to measure the personality dimensions of Extraversion, Neuroticism, and Psychoticism, as well as a Lie (dissimulation) factor. In view of the large volume of standardization data cross-cultural studies of personality structure are possible. The questionnaire was accordingly administered to a sample of New Zealand boys ( N = 644) and girls ( N = 672), aged from 7 to 15 yr., and the New Zealand data compared with the results reported in the manual for samples of English children. The pattern of correlations between scales was similar for both samples, the correlations tending to be quite low. The majority of items loaded on their respective factors, and these factors could be clearly identified with Eysenck's personality dimensions. Factor comparisons indicated a high degree of factor similarity for boys and girls. Internal consistency reliabilities were quite satisfactory for both sexes and closely resembled those reported in the manual. Sex and age trends were also consistent with the English results. Of some interest is the fact that New Zealand children obtained higher Psychoticism scores than did English children; they also obtained lower Lie scores.

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