| Literature DB >> 35874379 |
Xuan Yu1, Yue Yuan2, Xuhong Liu3, Bin He2.
Abstract
Job-search is considered as a developmental task for college students to move from campus to workplace. Based on the self-determination theory, 859 Chinese college students were selected as the study sample and hierarchical regression analysis was used to explore the perseverance of effort and consistency of interest on job-search intensity and clarity. The survey showed that the perseverance of effort has a significant positive effect on the job-search intensity, while it has no significant positive effect on job-search clarity. Consistency of interest has a significant negative effect on job-search intensity and a significant positive effect on job-search clarity. Theoretical and practical implications are discussed and the directions for future research are outlined in this study.Entities:
Keywords: consistency of interest; grit; job search clarity; job-search intensity; perseverance of effort
Year: 2022 PMID: 35874379 PMCID: PMC9299424 DOI: 10.3389/fpsyg.2022.825509
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1The proposed model of the study.
Descriptive statistics and correlations of study variables.
| Variables |
|
| 1 | 2 | 3 | 4 | 5 | 6 |
| 1.Gender | 1.800 | 0.402 | 1 | |||||
| 2.Age | 2.590 | 0.932 | 0.051 | 1 | ||||
| 3.GPA in last semester | 3.700 | 1.388 | 0.073 | 0.031 | 1 | |||
| 4.Consistency of interest | 3.137 | 0.6948 | 0.000 | 0.029 | –0.025 | 1 | ||
| 5.Perseverance of effort | 3.482 | 0.628 | –0.046 | –0.006 | 0.042 | −0.073 | 1 | |
| 6.Job-search clarity | 0.888 | 0.256 | 0.073 | 0.042 | –0.035 | 0.084 | –0.001 | 1 |
| 7.Job-search intensity | 0.626 | 0.309 | –0.043 | 0.034 | 0.012 | −0.080 | 0.136 | 0.231 |
N = 859, *p < 0.05, **p < 0.01.
Results of regression analysis toward job-search intensity.
| Model | Unstandardized coefficient | Standardized coefficient | T | p | Collinear statistics | |||
| B | Standard error | Beta | Tolerance | VIF | ||||
| 1 | (Constant) | 0.646 | 0.060 | 10.719 | 0.000 | |||
| Gender | –0.035 | 0.026 | –0.046 | –1.342 | 0.180 | 0.992 | 1.008 | |
| Age | 0.012 | 0.011 | 0.036 | 1.061 | 0.289 | 0.997 | 1.003 | |
| GPA in last semester | 0.003 | 0.008 | 0.015 | 0.426 | 0.671 | 0.994 | 1.006 | |
| 2 | (Constant) | 0.522 | 0.098 | 5.297 | 0.000 | |||
| Gender | –0.030 | 0.026 | –0.040 | –1.169 | 0.243 | 0.990 | 1.010 | |
| Age | 0.013 | 0.011 | 0.039 | 1.152 | 0.250 | 0.996 | 1.004 | |
| GPA in last semester | 0.002 | 0.008 | 0.007 | 0.202 | 0.840 | 0.991 | 1.009 | |
| Consistency of interest | −0.032 | 0.015 | –0.072 | –2.120 | 0.034 | 0.993 | 1.007 | |
| Perseverance of effort | 0.063 | 0.017 | 0.129 | 3.791 | 0.000 | 0.991 | 1.009 | |
N = 859, *p < 0.05, ***p < 0.001. Model 1 represents the regression analysis between the control variables and the job-search intensity, and Model 2 indicates the main effects regression analysis after adding the independent variables (consistency of interest and perseverance of effort).
Results of regression analysis toward job-search clarity.
| Model | Unstandardized coefficient | Standardized coefficient | T | p | Collinear statistics | |||
| B | Standard error | Beta | Tolerance | VIF | ||||
| 1 | (Constant) | 0.803 | 0.050 | 16.110 | 0.000 | |||
| Gender | 0.047 | 0.022 | 0.074 | 2.178 | 0.030 | 0.992 | 1.008 | |
| Age | 0.011 | 0.009 | 0.040 | 1.163 | 0.245 | 0.997 | 1.003 | |
| GPA in last semester | –0.008 | 0.006 | –0.041 | –1.214 | 0.225 | 0.994 | 1.006 | |
| 2 | (Constant) | 0.693 | 0.082 | 8.446 | 0.000 | |||
| Gender | 0.048 | 0.022 | 0.075 | 2.195 | 0.028 | 0.990 | 1.010 | |
| Age | 0.010 | 0.009 | 0.037 | 1.095 | 0.274 | 0.996 | 1.004 | |
| GPA in last semester | –0.007 | 0.006 | –0.040 | –1.165 | 0.244 | 0.991 | 1.009 | |
| Consistency of interest | 0.030 | 0.013 | 0.083 | 2.426 | 0.015 | 0.993 | 1.007 | |
| Perseverance of effort | 0.004 | 0.014 | 0.010 | 0.293 | 0.770 | 0.991 | 1.009 | |
N = 859, *p < 0.05. Model 1 represents the regression analysis between the control variables and the job-search clarity, and Model 2 indicates the main effects regression analysis after adding the independent variables (consistency of interest and perseverance of effort).