Tracking Adult Career Development

1995 ◽  
Vol 4 (3) ◽  
pp. 14-18 ◽  
Author(s):  
Dorothy Hutton

The Adult Career Concerns Inventory (ACCI) was designed to measure career planning and career adjustment in four stages of career development: exploration, establishment, maintenance and disengagement. In this study 288 employees, aged between 25 and 55 completed the ACCI. A factor analysis found that the items in five of the six subscales of the establishment and maintenance scales loaded together. Eight other items, which loaded together, could be interpreted to represent becoming established in a job or workplace. Two previous factor analyses testing a four factor model gave conflicting results, and the discrepancy between the studies is discussed. That adults move through stages in their careers is not questioned. Research areas that remain open for investigation include the number of stages in mid-career and the measurable constructs in those stages, the relationships between stages of career development and other career variables and the empirical establishment of the sequence of the stages.

2006 ◽  
Vol 32 (3) ◽  
Author(s):  
Charlene C Lew ◽  
Gideon P De Bruin

This study investigated the relationships between the scales of the Adult Career Concerns Inventory (ACCI) and those of the Career Attitudes and Strategies Inventory (CASI). The scores of 202 South African adults for the two inventories were subjected to a canonical correlation analysis. Two canonical variates made statistically significant contributions to the explanation of the relationships between the two sets of variables. Inspection of the correlations of the original variables with the first canonical variate suggested that a high level of career concerns in general, as measured by the ACCI, is associated with high levels of career worries, more geographical barriers, a low risk-taking style and a non-dominant interpersonal style, as measured by the CASI. The second canonical variate suggested that concerns with career exploration and advancement of one’s career is associated with low job satisfaction, low family commitment, high work involvement, and a dominant style at work.


Assessment ◽  
2011 ◽  
Vol 19 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Matthew J. Miller ◽  
Jungeun Kim ◽  
Grace A. Chen ◽  
Alvin N. Alvarez

The authors conducted exploratory and confirmatory factor analyses of the Asian American Racism-Related Stress Inventory (AARRSI) to further examine the underlying factor structure in a total sample of 1,273 Asian American participants. In the first step of analysis, an exploratory factor analysis with 651 participants yielded a 13-item two-factor solution to the data. In the second step, a confirmatory factor analysis with 622 participants supported both the 13-item two-factor model and the original 29-item three-factor model in the cross-validation sample and generational and ethnicity analyses. The two-factor and three-factor models produced internal consistency estimates ranging from .81 to .95. In addition, the authors examined convergent and criterion related evidence for 13-item and 29-item versions of the AARRSI. Given its brief nature and generally good fit across generational status and ethnicity, the authors suggest that the 13-item AARRSI might be advantageous for research and assessment endeavors.


2003 ◽  
Vol 40 (4) ◽  
pp. 172-180 ◽  
Author(s):  
Kristin M. Perrone ◽  
Phyllis A. Gordon ◽  
Jenelle C. Fitch ◽  
Christine L. Civiletto

Author(s):  
Urbano Lorenzo-Seva

AbstractNowadays, exploratory and confirmatory factor analyses are two important consecutive steps in an overall analysis process. The overall analysis should start with an exploratory factor analysis that explores the data and establishes a hypothesis for the factor model in the population. Then, the analysis process should be continued with a confirmatory factor analysis to assess whether the hypothesis proposed in the exploratory step is plausible in the population. To carry out the analysis, researchers usually collect a single sample, and then split it into two halves. As no specific splitting methods have been proposed to date in the context of factor analysis, researchers use a random split approach. In this paper we propose a method to split samples into equivalent subsamples similar to one that has already been proposed in the context of multivariate regression analysis. The method was tested in simulation studies and in real datasets.


1996 ◽  
Vol 79 (1) ◽  
pp. 123-126
Author(s):  
Anupama Byravan ◽  
Nerella V. Ramanaiah

This article provides a reply to Cattell's 1995 comments on some methodological issues related to Byravan and Ramanaiah's 1995 study and shows that their study was methodologically sound. It was concluded that the results of Byravan and Ramanaiah's study were different from those of Cattell's 1995 factor analyses mainly due to the fact that the former involved the factor analysis of 16PF primary scales from the perspective of the five-factor model using Revised NEO Personality Inventory domain scales and Goldberg's 1992 scales as markers for the five major factors whereas the latter investigated the structure of the Revised NEO Personality Inventory facet scales from the perspective of the 16PF global scales.


1999 ◽  
Vol 25 (3) ◽  
pp. 173-185 ◽  
Author(s):  
Spencer G. Niles ◽  
Walter P. Anderson ◽  
Paul J. Hartung ◽  
A. Renee Staton

2011 ◽  
Vol 14 (2) ◽  
pp. 648-658 ◽  
Author(s):  
José Fernando García ◽  
Gonzalo Musitu ◽  
Enrique Riquelme ◽  
Paula Riquelme

The aim of this work is to examine the pentafactorial validity of the AF5 Self-Concept Questionnaire in Spanish and Chilean young adults. From the responses of a total of 4,383 young adults aged 17 to 22 years (1,918 Spanish, 44%, and 2,465 Chilean, 56%) it was analyzed the reliability of the instrument, the compared validity of the 5 oblique factor model proposed by the authors versus the unifactorial and the orthogonal alternative models, and was studied the invariance of one Chilean sample. The results of confirmatory factor analyses supported the authors' pentafactorial model. The multi-group factorial invariance showed that Chilean sample of the AF5 does not change neither the Spanish factor weights, nor the variances and covariances of the factors, or the error variances of items. Finally, the internal consistency of the five scales was good in the samples of both countries.


2020 ◽  
Author(s):  
Gregory D. Webster ◽  
Val Wongsomboon

Using the 28 items of the Short Dark Tetrad (SD4; Paulhus et al., 2020), we developed an alternative 16-item version with eight facets called the Hateful Eight (H8). Over 450 undergraduate participants completed the SD4 and two sexual behavior items. We split the sample into exploratory and confirmatory halves. Exploratory factor analyses showed that each SD4 trait—Machiavellianism, narcissism, psychopathy, and sadism—had a two-factor model that fit significantly better than a one-factor model. Taking the two highest-loading items from each factor for each trait yielded eight facets, which we labeled deviousness and scheming (Machiavellianism); leadership and exceptionalism (narcissism); defiance and recklessness (psychopathy); and violent voyeurism and verbal abuse (sadism). Confirmatory factor analysis using both split-half and whole samples supported both an eight-factor/facet solution and hierarchical models in which the eight facets loaded onto the four Dark Tetrad traits, which in turn loaded onto a global Dark Tetrad factor. Participant sex interacted with the H8 composite score in predicting number of sex partners; men showed stronger H8–sex-partners slopes than women. Showing the utility of the H8’s hierarchical, multifaceted structure, this H8-by-sex interaction effect was driven by its narcissism trait, which was in turn driven by its exceptionalism facet.


1997 ◽  
Vol 46 (1) ◽  
pp. 87-97 ◽  
Author(s):  
Spencer G. Niles ◽  
Daniel M. Lewis ◽  
Paul J. Hartung

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