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The Construction of the Chinese Career Factors Inventory

Listed in Harvard Dataverse

The major goal of this research was to construct the Chinese Career Factors Inventory (CCFI), which is a reliable , multidimensional measure of college students\' career indecision.

Description

The CCFI is composed of 67 items rated on a 6-point Likert-type scale, including the Decidedness scale (7 items), the Comfort scale (10 items), and the Reasons scale (50 items). In addition, the Reasons scale comprises 7 subscales.

The samples in this study were drawn from universities by means of stratified and cluster sampling. The Career Decision Making Scale, the State-Trait Anxiety Scale, the Chinese Career Beliefs Inventory (Form A-2), and the Chinese Career Barriers Checklist were used to examine the validity of the CCFI. The reliability and validity of the CCFI were tested.

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The results were summarized as follows: (1) the 4-week interval retest reliability for the Decidedness, Comfort, and Reasons scales were .69, .80, and .89, respectively, and for the subscales of the Reasons scale ranged between .78 and .85; (2) the alpha coefficients for the three scales were .85, .91, .97, and for the subscales of the Reasons scale ranged between .78 and .93; (3) there was a positive correlation between the Decidedness scale and the Comfort scale, and both scales were negatively correlated with the Reasons scale; (4) career indecision was found to be correlated as expected with state-trait anxiety, career beliefs, and perceived career barriers; (5) there were no significant differences between social science group and natural science group; (6) the only significant gender difference was found on the Career Choice Importance scale of the Reasons scale; and (7) there were significant grade differences on all the CCFI scale scores, with higher school grade level students showing greater decidedness.

The results support the reliability and validity of the Decidedness and Comfort scales and the seven subscales of the Reasons scale. Suggestions for possible counseling applications and further research are presented.

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Harvard Dataversedoi:10.6141/TW-SRDA-E87058-112 d agoJSON v1
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