An Exploratory Factor Analysis of Hartmann's Boundary Questionnaire and an Empirically-Derived Short Version

2001 ◽  
Vol 21 (2) ◽  
pp. 131-144 ◽  
Author(s):  
David Rawlings

The Boundary Questionnaire (BQ) of Ernest Hartmann measures individual differences in the “thinness” of the mental boundaries presumed to separate the contents of consciousness. We report a study in which 300 undergraduates completed the 145-item BQ. Their scores were factor analyzed using Maximum Likelihood factor analysis followed by Promax rotation. Seven substantially uncorrelated factors emerged from the rotation. Subsequent analyses aimed at developing an empirically-derived short version of the questionnaire (abbreviated BQ-Sh) produced six subscales labeled Unusual Experiences, Need for Order, Trust, Perceived Competence, Childlikeness, and Sensitivity, with the Trust subscale omitted from calculation of the total score. Subscales of the 46-item BQ-Sh varied in reliability (alpha) from .80 to .65. It had a full-scale reliability of .74 and correlated strongly with the original BQ ( r = .88). It is compared with an alternative, rationally-derived short version with which it showed a correlation of .77.

1994 ◽  
Vol 13 (4) ◽  
pp. 279-289 ◽  
Author(s):  
Carolyn Turvey ◽  
Peter Salovey

Research on individual differences in repression, defined as the tendency not to experience negative thoughts and feelings, has led to the development of numerous measures. This article compares six common measures of repression: 1) the Byrne Repression-Sensitization scale, 2) Weinberger's Repressive Coping Scale, 3) the Weinberger Adjustment Inventory, 4) Miller's Monitoring and Blunting Scale, 5) Sackeim and Gur's Self-Deception Questionnaire, and 6) Paulus's Self-Deception Questionnaire. The measures were highly intercorrelated. A maximum likelihood factor analysis revealed that all but the Monitoring and Blunting Scale loaded on a single factor. Moreover, most of the measures correlated significantly with anxiety and social desirability. The instruments were then compared to assess their relative practical utility. Although all but the Monitoring and Blunting scale appear to measure the same construct, the Weinberger Adjustment Inventory appears to be the most psychometrically sound measure of dispositional repression.


2021 ◽  
Vol 10 (10(6)) ◽  
pp. 1741-1757
Author(s):  
Nkululeko Funyane

This study sought to assess if the importance attached by customers to the airline service attributes differed across low-cost and full-service airline models. A Mann-Whitney U Test was used to assess the difference between the two models. However, before subjecting the data to differential tests, an exploratory factor analysis (maximum likelihood) was performed on the fifty-five items of service attributes, reducing them into forty-two items retained into ten latent factors (airline service attributes). The results of the revealed a significant difference in the importance attached to staff competence, courtesy and responsiveness only. Such findings suggest that the positioning of airlines into binary (FSC - LCC) models could be a waste of effort and resources since airlines seem to be converging.


1985 ◽  
Vol 45 (2) ◽  
pp. 353-359 ◽  
Author(s):  
David E. Mace ◽  
William B. Michael ◽  
Dennis Hocevar

Through use of confirmatory maximum likelihood factor analysis in conjunction with the LISREL V computer program devised by Jöreskog and Sörbom, an evaluation was made of the validity of higher-order ability constructs in structure-of-intellect tests all containing semantic content and operations of cognition or evaluation. The hypothesized first-, second-, and third-order factors were all reproducible with every one of the estimated factor loadings being significant beyond the .01 level. Although the first- and second-order factors were shown to be reproducible and statistically separable, the high intercorrelations among the six first-order product factors and the two second-order operations factors would suggest from a practical standpoint that the single third-order factor of semantic content would constitute a plausible alternative for accounting for much of the covariance among the test variables.


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