Negative Life Events and Procrastination among Adolescents: The Roles of Negative Emotions and Rumination, as Well as the Potential Gender Differences
Abstract
:1. Introduction
1.1. Negative Life Events and Procrastination
1.2. Negative Emotions as a Mediator
1.3. Rumination as a Moderator
1.4. Gender Difference
1.5. The Present Study
2. Materials and Methods
2.1. Participants
2.2. Procedure
2.3. Measurements
2.3.1. Negative Life Events
2.3.2. Procrastination
2.3.3. Negative Emotions
2.3.4. Rumination
2.4. Statistical Analyses
3. Results
3.1. Descriptive Statistics and Correlation Analyses
3.2. Testing for the Proposed Moderated Mediation Model
4. Discussion
4.1. Negative Life Events and Procrastination
4.2. Negative Emotions as a Mediator
4.3. Rumination as a Moderator
4.4. Gender Difference
5. Limitations and Implications
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
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Variables | M (SD) | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|---|
1. Negative life events | 1.176(0.735) | 1 | ||||
2. Negative emotion | 0.767(0.543) | 0.526 ** | 1 | |||
3. Procrastination | 2.687(0.673) | 0.245 ** | 0.328 ** | 1 | ||
4. Rumination | 2.224(0.591) | 0.292 ** | 0.284 ** | 0.076 * | 1 | |
5. Age | 12.92(0.902) | −0.006 | −0.038 | 0.020 | 0.021 | 1 |
Model | Results for the Sample of Males (n = 373) | Results for the Sample of Females (n = 407) | ||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Model 1: Total effect model | ||||||||||||||||||||
R | R2 | F | df1 | df2 | p | R | R2 | F | df1 | df2 | p | |||||||||
0.188 | 0.036 | 5.971 | 2 | 370 | <0.01 | 0.296 | 0.087 | 14.384 | 2 | 404 | <0.001 | |||||||||
B | SE | t | p | B | SE | t | p | |||||||||||||
Constant | 2.531 | 0.106 | 23.794 *** | <0.001 | 2.332 | 0.089 | 26.291 *** | <0.001 | ||||||||||||
Grade | −0.006 | 0.047 | −0.119 | >0.05 | −0.002 | 0.041 | 0.039 | >0.05 | ||||||||||||
NLEs | 0.176 | 0.051 | 3.435 *** | <0.001 | 0.265 | 0.050 | 5.266 *** | <0.001 | ||||||||||||
Model 2: Mediator variable model | ||||||||||||||||||||
R | R2 | F | df1 | df2 | p | R | R2 | F | df1 | df2 | p | |||||||||
0.535 | 0.286 | 56.380 | 2 | 370 | <0.001 | 0.527 | 0.278 | 60.796 | 2 | 404 | <0.001 | |||||||||
B | SE | t | p | B | SE | t | p | |||||||||||||
Constant | 0.317 | 0.075 | 4.252 *** | <0.001 | 0.373 | 0.064 | 5.801 *** | <0.001 | ||||||||||||
Grade | −0.007 | 0.031 | −0.224 | >0.05 | −0.039 | 0.031 | −1.252 | >0.05 | ||||||||||||
NLEs | 0.424 | 0.041 | 10.445 *** | <0.001 | 0.365 | 0.033 | 11.008 *** | <0.001 | ||||||||||||
Model 3: Dependent variable model | ||||||||||||||||||||
R | R2 | F | df1 | df2 | p | R | R2 | F | df1 | df2 | p | |||||||||
0.264 | 0.070 | 8.221 | 3 | 369 | <0.001 | 0.408 | 0.167 | 24.218 | 3 | 403 | <0.001 | |||||||||
B | SE | t | p | B | SE | t | p | |||||||||||||
Constant | 2.450 | 0.105 | 23.388 *** | <0.001 | 2.172 | 0.083 | 26.052 *** | <0.001 | ||||||||||||
Grade | −0.004 | 0.046 | −0.083 | >0.05 | 0.018 | 0.039 | 0.470 | >0.05 | ||||||||||||
NLEs | 0.067 | 0.059 | 1.124 | >0.05 | 0.108 | 0.053 | 2.031 * | <0.05 | ||||||||||||
NE | 0.257 | 0.073 | 3.514 *** | <0.001 | 0.430 | 0.072 | 5.955 *** | <0.001 | ||||||||||||
Specific effect analysis | ||||||||||||||||||||
B | SE | LLCI | ULCI | Ratio | B | SE | LLCI | ULCI | Ratio | |||||||||||
TE | 0.176 | 0.051 | 0.078 | 0.276 | 0.265 | 0.050 | 0.166 | 0.364 | ||||||||||||
DE | 0.066 | 0.059 | −0.050 | 0.183 | 0.108 | 0.053 | 0.004 | 0.213 | 40.78% | |||||||||||
IE | 0.109 | 0.032 | 0.047 | 0.175 | 62.13% | 0.157 | 0.028 | 0.104 | 0.215 | 59.22% |
Model | Results for the Sample of Males (n = 373) | Results for the Sample of Females (n = 407) | |||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Model 1: Mediator variable model | |||||||||||||||||||||
R | R2 | F | df1 | df2 | p | R | R2 | F | df1 | df2 | p | ||||||||||
0.585 | 0.342 | 31.644 | 4 | 368 | <0.001 | 0.537 | 0.289 | 32.282 | 4 | 402 | <0.001 | ||||||||||
B | SE | t | p | B | SE | t | p | ||||||||||||||
Constant | 0.758 | 0.057 | 13.229 *** | <0.001 | 0.826 | 0.059 | 13.909 *** | <0.001 | |||||||||||||
Grade | 0.005 | 0.029 | 0.179 | >0.05 | −0.051 | 0.031 | −1.649 | >0.05 | |||||||||||||
NLEs | 0.338 | 0.041 | 8.277 *** | <0.001 | 0.341 | 0.035 | 9.815 *** | <0.001 | |||||||||||||
Rum | 0.206 | 0.047 | 4.344 *** | <0.001 | 0.095 | 0.043 | 2.219 * | <0.05 | |||||||||||||
NLEs × Rum | 0.205 | 0.091 | 2.250 * | <0.05 | 0.040 | 0.050 | 0.432 | >0.05 | |||||||||||||
Model 2: Dependent variable model | |||||||||||||||||||||
R | R2 | F | df1 | df2 | p | R | R2 | F | df1 | df2 | p | ||||||||||
0.345 | 0.118 | 8.403 | 5 | 367 | <0.001 | 0.430 | 0.185 | 15.416 | 5 | 401 | <0.001 | ||||||||||
B | SE | t | p | B | SE | t | p | ||||||||||||||
Constant | 2.494 | 0.010 | 25.041 *** | <0.001 | 2.271 | 0.092 | 24.718 *** | <0.001 | |||||||||||||
Grade | 0.012 | 0.045 | 0.274 | >0.05 | 0.021 | 0.039 | 0.544 | >0.05 | |||||||||||||
NLEs | 0.023 | 0.053 | 0.424 | >0.05 | 0.092 | 0.054 | 1.699 | >0.05 | |||||||||||||
NE | 0.202 | 0.078 | 2.581 * | <0.05 | 0.431 | 0.072 | 5.999 *** | <0.001 | |||||||||||||
Rum | 0.030 | 0.067 | 0.444 | >0.05 | −0.037 | 0.063 | −0.591 | >0.05 | |||||||||||||
NLEs × Rum | 0.367 | 0.102 | 3.599 *** | <0.001 | 0.190 | 0.086 | 2.212 * | <0.05 | |||||||||||||
Conditional direct effect analysis at values of rumination (M ± SD) | |||||||||||||||||||||
B | SE | LLCI | ULCI | B | SE | LLCI | ULCI | ||||||||||||||
M − 1SD | −0.189 | 0.082 | −0.349 | −0.028 | −0.023 | 0.084 | −0.188 | 0.142 | |||||||||||||
M | 0.023 | 0.053 | −0.082 | 0.128 | 0.092 | 0.054 | −0.014 | 0.199 | |||||||||||||
M + 1SD | 0.234 | 0.077 | 0.083 | 0.385 | 0.207 | 0.065 | 0.079 | 0.335 | |||||||||||||
Conditional indirect effect analysis at values of rumination (M ± SD) | |||||||||||||||||||||
B | SE | LLCI | ULCI | B | SE | LLCI | ULCI | ||||||||||||||
M − 1SD | 0.045 | 0.021 | 0.013 | 0.095 | 0.137 | 0.030 | 0.087 | 0.204 | |||||||||||||
M | 0.068 | 0.027 | 0.018 | 0.123 | 0.147 | 0.026 | 0.099 | 0.205 | |||||||||||||
M + 1SD | 0.092 | 0.038 | 0.022 | 0.170 | 0.157 | 0.029 | 0.105 | 0.221 |
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Liu, L.; Zhang, T.; Xie, X. Negative Life Events and Procrastination among Adolescents: The Roles of Negative Emotions and Rumination, as Well as the Potential Gender Differences. Behav. Sci. 2023, 13, 176. https://doi.org/10.3390/bs13020176
Liu L, Zhang T, Xie X. Negative Life Events and Procrastination among Adolescents: The Roles of Negative Emotions and Rumination, as Well as the Potential Gender Differences. Behavioral Sciences. 2023; 13(2):176. https://doi.org/10.3390/bs13020176
Chicago/Turabian StyleLiu, Lizhong, Tianyi Zhang, and Xiaochun Xie. 2023. "Negative Life Events and Procrastination among Adolescents: The Roles of Negative Emotions and Rumination, as Well as the Potential Gender Differences" Behavioral Sciences 13, no. 2: 176. https://doi.org/10.3390/bs13020176
APA StyleLiu, L., Zhang, T., & Xie, X. (2023). Negative Life Events and Procrastination among Adolescents: The Roles of Negative Emotions and Rumination, as Well as the Potential Gender Differences. Behavioral Sciences, 13(2), 176. https://doi.org/10.3390/bs13020176