ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
Abstract
Taking control over one‟s career requires the ability to make career decisions; thus, remaining in a state of career indecision is problematic. However, the stability of career indecision has not yet been investigated using advanced statistical modeling approaches. We present two studies of German university students applying three-wave, longitudinal designs. Study 1 investigated the stability of career indecision by means of latent state-trait analysis within two samples with different time lags (Sample 1: N = 363, 7 weeks; Sample 2: N = 591, 6 months). The results indicated that career indecision was determined by a stable component (i.e., trait career indecisiveness) that was associated with lower core self-evaluations, lower occupational self-efficacy, and higher perceived career barriers. Study 2 (N = 469) examined career indecision over one year. We found that the stable career indecision component explained 5% of the variance in student life satisfaction beyond self-evaluated generalized indecisiveness.
General Discussion
The general goal of the present paper was to investigate the stable component of career indecision (i.e., career indecisiveness) among university students. Although client indecision is of major concern in career counseling, the methodologies for assessing indecisiveness in existing research have some notable limitations. Only a few longitudinal studies have examined indecisiveness over time, and these studies have only assessed indecisiveness using questionnaires directly asking participants to indicate their indecisiveness. Hence, the general aim of our study was to evaluate the empirically assessed stable component of career indecision (i.e., career indecisiveness) over time and to investigate its relationships with personality-, career-, and well-being-related variables. We examined three different groups of students over different periods to improve the generalizability of our results.