Principal Components Analysis of the Physical Self-Efficacy Scale for a Black Sample

1996 ◽  
Vol 83 (1) ◽  
pp. 35-40 ◽  
Author(s):  
John R. Sumerlin ◽  
Iola Thompson ◽  
Nolan Thaxton ◽  
S. A. Berretta

Principal components analysis of an intercorrelation matrix for the Physical Self-efficacy Scale in an all black sample of 320 mostly confirmed the original validation study of Ryckman, Robbins, Thornton, and Cantrell who used a wholly white sample; however, the analysis identified items with factor loadings at criterion on more than one factor, one item that loaded on a different subscale, and additional factors. It is unknown whether differences in this sample are attributable to race or other influences. Further investigation is suggested.

1997 ◽  
Vol 44 (2) ◽  
pp. 137-148 ◽  
Author(s):  
Jeffrey Dean Webster

This article reports the findings of a replication and validation study of the factor structure of the recently developed Reminiscence Functions Scale (RFS) [1]. Three hundred and ninety-nine adult subjects ranging in age from seventeen to forty-five years ( M age = 22.7, SD = 5.7) completed the RFS. A principal components analysis indicated the viability of an eight-factor scale which strongly parallels the earlier scale construction. Factors were labeled: Boredom Reduction, Death Preparation, Identity, Problem-Solving, Conversation, Intimacy Maintenance, Bitterness Revival, and Teach/Inform. Internal consistency scores ranged from .74 to .86 and closely duplicated original scores. Age differences on Death Preparation and Teach/Inform were replicated. Potential uses of the RFS are documented.


1997 ◽  
Vol 84 (2) ◽  
pp. 415-425 ◽  
Author(s):  
Gwenolé Loas ◽  
Didier Fremaux ◽  
Patrice Boyer

The aim was to examine the relationship between alexithymia, anhedonia, and capacity for displeasure in a group of 133 healthy subjects using principal components analysis. A correlation matrix comprised of items from both the Communication and Identification scale of the 20-item Toronto Alexithymia Scale and the Physical Pleasure-Displeasure Scale yielded a four-factor solution (one Communication-Identification, two Pleasure, and one Displeasure factor) with no overlap of the significant factor loadings for the items from each scale. Moreover, there were no positive significant correlations between the Communication and Identification Scales and the Physical Anhedonia Scale. Our findings support the view that physical anhedonia is a construct distinct and separate from alexithymia.


1991 ◽  
Vol 69 (3) ◽  
pp. 871-877 ◽  
Author(s):  
Raymond K. Tucker ◽  
Ronnie Dyson

The present study sought to assess the factor invariance of Jones and Crandall's short form measure of self-actualization on a sample of 213 black undergraduates. A principal components analysis followed by a varimax rotation yielded five factors, four of which were interpretable. The obtained structure essentially replicated that of Jones and Crandall; however, there were differences that indicate the test cannot be assumed to be invariant across ethnic groups.


1992 ◽  
Vol 20 (3) ◽  
pp. 219-225 ◽  
Author(s):  
John R. Vokey ◽  
Gordon W. Russell

A principal components analysis of the intercorrelation matrix of minutes assessed for 19 aggressive penalties awarded in all games played in the 1983–84 season (N= 505) of the Western Hockey League is reported as an attempted replication of a similar analysis for the 1978–79 season reported by Russell & Russell (1984). Beyond superficial similarities between the two solutions, only the component of fighting was found to be in common.


1980 ◽  
Vol 19 (04) ◽  
pp. 205-209
Author(s):  
L. A. Abbott ◽  
J. B. Mitton

Data taken from the blood of 262 patients diagnosed for malabsorption, elective cholecystectomy, acute cholecystitis, infectious hepatitis, liver cirrhosis, or chronic renal disease were analyzed with three numerical taxonomy (NT) methods : cluster analysis, principal components analysis, and discriminant function analysis. Principal components analysis revealed discrete clusters of patients suffering from chronic renal disease, liver cirrhosis, and infectious hepatitis, which could be displayed by NT clustering as well as by plotting, but other disease groups were poorly defined. Sharper resolution of the same disease groups was attained by discriminant function analysis.


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