Factor Structure of The Beck Depression Inventory in a University Sample

2003 ◽  
Vol 92 (1) ◽  
pp. 53-61 ◽  
Author(s):  
Herbert W. Helm ◽  
Mark D. Boward
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Beck Depression Inventory ◽  
Factor Structure ◽  
Principal Components ◽  
Varimax Rotation ◽  
Common Variance ◽  
Factor Solution ◽  
The Common ◽  
Components Analysis

Factor analysis was performed on the Beck Depression Inventory with a university sample to examine its potential multidimensionality. A principal components analysis with an oblimin and varimax rotation produced a two-factor solution. These factors were labeled Cognitive–Affective and Physiological and accounted for approximately 39% of the common variance. This finding is consistent with multidimensionality of the inventory and with a similar study of college students. The commonalities of the two studies suggest the reliability (internal consistency) of the Cognitive-Affective and Physiological constructs among “minimally” depressed university samples.

Further Considerations of the Multidimensionality and Factor Structure of the Rotter Locus of Control Scale

1987 ◽  
Vol 60 (3_part_2) ◽  
pp. 1059-1062
Author(s):  
Howard N. Anderson ◽  
Stephen Madonna ◽  
Glenda K. Bailey ◽  
Andrea L. Wesley
Keyword(s):  
Locus Of Control ◽  
Principal Components Analysis ◽  
Factor Structure ◽  
Principal Components ◽  
Total Variance ◽  
Varimax Rotation ◽  
Factor Solution ◽  
Control Scale ◽  
Two Factors ◽  
Components Analysis

The present study was designed to determine the number and nature of factors involved in Rotter's I-E Scale and to examine the question of the multidimensionality of the scale. Subjects were 329 college undergraduates. Principal components analysis was performed on the 23 pertinent items of the scale, followed by Varimax rotation. Multiple criteria indicated a 10-factor solution which accounted for 61% of the total variance. The first two factors were strongly similar to those reported previously. Results support Rotter's (1975) contention that subclasses within the scale will vary from sample to sample.

Hong's Psychological Reactance Scale: A Further Factor Analytic Validation

1992 ◽  
Vol 70 (2) ◽  
pp. 512-514 ◽  
Author(s):  
Sung-Mook Hong
Keyword(s):  
College Students ◽  
Principal Components Analysis ◽  
Principal Components ◽  
General Public ◽  
Psychological Reactance ◽  
Varimax Rotation ◽  
Factor Solution ◽  
Factor Analytic ◽  
Research Findings ◽  
Components Analysis

Data from 462 members of the general public were used to evaluate Hong's Psychological Reactance Scale. A principal components analysis with varimax rotation yielded a four-factor solution which was almost identical to previous research findings with a sample of college students, thereby indicating factorial stability. Reliabilities for the scale were satisfactory so use is recommended.

Factor Analysis and Rotation of Responses to the Junior Eysenck Personality Inventory

1977 ◽  
Vol 40 (2) ◽  
pp. 599-601 ◽  
Author(s):  
Robert A. C. Stewart
Keyword(s):  
Factor Analysis ◽  
New Zealand ◽  
Principal Components Analysis ◽  
Factor Structure ◽  
Principal Components ◽  
Personality Inventory ◽  
Varimax Rotation ◽  
Eysenck Personality Inventory ◽  
Components Analysis ◽  
Affect Factor

To investigate further the basic item-factor structure of the Junior Eysenck Personality Inventory, a principal components analysis and varimax rotation were conducted on responses of 866 children (aged 7 to 16 yr.) from schools in the Rotorua area of New Zealand. Ten factors were extracted of which 7 were interpretable. These were named: Factor 1. Neuroticism I (Neurotic affect), Factor 2. Extraversion I (Impulsivity), Factor 3. Lie Scale, Factor 4. Extraversion II (Introversion), Factor 5. Extraversion III (Jocularity), Factor 6. Extraversion IV (Sociability), Factor 8. Neuroticism II (Neurotic ideation).

Factor Analysis of the Stability of Self Scale

1980 ◽  
Vol 47 (3_suppl) ◽  
pp. 1160-1162 ◽  
Author(s):  
Stephen L. Franzoi ◽  
Benjamin J. Reddish
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Principal Components ◽  
Analysis Data ◽  
Factor Solution ◽  
The Stability

The factor structure of Rosenberg's Stability of Self Scale (1965) was investigated via principal components factor analysis. Data from 92 male and 171 female undergraduates yielded a one-factor solution, supporting Rosenberg's contention that the scale is unidimensional.

FACTOR ANALYSIS AND ROTATION OF THE 566 MMPI ITEMS

1974 ◽  
Vol 2 (2) ◽  
pp. 147-156 ◽  
Author(s):  
Robert A. C. Stewart
Keyword(s):  
Factor Analysis ◽  
Social Behavior ◽  
Factor Structure ◽  
Undergraduate Students ◽  
Physical Symptoms ◽  
Female Undergraduate ◽  
Varimax Rotation ◽  
Item Responses ◽  
Males And Females ◽  
Components Analysis

Because of the still imperfectly understood basic factor structure of the MMPI, a Principal Components Analysis and Varimax Rotation was conducted on the MMPI item responses of 50 female undergraduate students of Education at Massey University. Eight factors were extracted which were named: Neuroticism, Anti-social behavior, Fundamentalist religiosity, Subjectivity, Introversion, Paranoic tendency, Depression and Physical symptoms. The possibly different factor structure for males and females needs explication in further work.

Factor Structure of the Depression-Proneness Rating Scale

1987 ◽  
Vol 61 (3) ◽  
pp. 863-866
Author(s):  
Sung-Mook Hong
Keyword(s):  
University Students ◽  
Principal Components Analysis ◽  
Factor Structure ◽  
Principal Components ◽  
Rating Scale ◽  
Varimax Rotation ◽  
Cognitive Components ◽  
Depression Proneness ◽  
Components Analysis ◽  
Depression Scales

The Zemore Depression-Proneness Rating Scale was administered to 208 university students. A principal components analysis with varimax rotation identified three factors representing Negative Self-attitude, Performance Difficulty, and Lack of Appetite. Some similarity between the present factors and those of the Beck Depression Inventory was discussed. Because the scale overemphasizes cognitive components, attention to items on the somatic aspects of depression was suggested. However, it should be noted that depression-proneness appears to be the feature of Zemore's scale that sets it apart from other depression scales.

Factor Structure of the Spanish Version of the Object-Spatial Imagery and Verbal Questionnaire

2011 ◽  
Vol 108 (2) ◽  
pp. 470-476 ◽  
Author(s):  
Alfredo Campos ◽  
María José Pérez-Fabello
Keyword(s):  
Principal Components Analysis ◽  
Factor Structure ◽  
Principal Components ◽  
Original Version ◽  
Spanish Version ◽  
University Graduates ◽  
Varimax Rotation ◽  
Spatial Imagery ◽  
Components Analysis ◽  
Questionnaire Measures

The reliability and factor structure of the Spanish version of the Object-Spatial Imagery and Verbal Questionnaire (OSIVQ) were assessed in a sample of 213 Spanish university graduates. The questionnaire measures three types of processing preferences (verbal, object imagery, and spatial imagery). Principal components analysis with varimax rotation identified three factors, corresponding to the three scales proposed in the original version, explaining 33.1% of the overall variance. Cronbach's alphas were .72, .77, and .81 for the verbal, object imagery, and spatial imagery scales, respectively.

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.

Reliability and Validity of the Conceptions of Mathematics Questionnaire

1999 ◽  
Vol 85 (2) ◽  
pp. 579-582 ◽  
Author(s):  
Andile Mji
Keyword(s):  
South Africa ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Reliability And Validity ◽  
Varimax Rotation ◽  
Factor Solution ◽  
Mathematics Majors ◽  
Component Solution ◽  
Two Component ◽  
Components Analysis

The article reports reliability and validity of the Conceptions of Mathematics Questionnaires, based on responses of 154 undergraduate mathematics majors from four universities in South Africa. The reliability estimated as internal consistency had a Cronbach alpha of .84. To establish the validity, Principal components analysis with varimax rotation yielded a two-component solution accounting for 44% of variance. The components were interpreted as Fragmented Conceptions and Cohesive Conceptions of mathematics, as in Australia Since the factor solution was comparable to that reported in Australia, this result is a sufficient basis for the use of the questionnaire in South Africa.

Allport-Vernon-Lindzey Study of Values: 1. Factor Structure for a Combined Sample of Male and Female College Students

1970 ◽  
Vol 27 (3) ◽  
pp. 955-958 ◽  
Author(s):  
Rio Sciortino
Keyword(s):  
College Students ◽  
Principal Components Analysis ◽  
Factor Structure ◽  
Principal Components ◽  
The Self ◽  
Female College Students ◽  
Male And Female ◽  
Female College ◽  
Components Analysis

A principal components analysis was performed on the self-ratings (for a combined sample) obtained from the Allport-Vernon-Lindzey Study of Values ( N = 150 combined sample of 102 male and 48 female college students). The obtained principal components were then rotated according to the varimax procedure. The varimax factors obtained were: esthetic, social, and religious.

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