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Examining the relations of time management and procrastination within a model of self-regulated learning

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Abstract

The primary goal of this study was to investigate whether college students’ academic time management could be used to understand their engagement in traditional and active forms of procrastination within a model of self-regulated learning. College students (N = 446) completed a self-report survey that assessed motivational and strategic aspects of self-regulated learning, time management, and procrastination. Results of regression analyses indicated that self-efficacy and metacognitive strategies initially were significant predictors of traditional and active forms of procrastination. Incorporating time management in the analyses increased the amount of the variance explained and, even in the presence of the motivation and strategy variables, time management emerged as an important predictor of both traditional and active forms of procrastination. Findings support the conclusion that academic time management is a key aspect of self-regulated learning and, as such, it can be useful for understanding the extent to which college students procrastinate when doing their academic work.

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Notes

  1. Because gender differences in self-regulated learning, time management and procrastination have been found in some studies (Macan et al. 1990; Meece and Painter 2008; Steel 2007), we investigated whether accounting for sex was necessary for properly understanding the relations examined by our analyses. When included as part of the SRL model, findings indicated that sex was a significant predictor for just one aspect of procrastination (i.e., it was a significant but relatively weak negative predictor for intentional delay). More critically, accounting for sex produced no noticeable changes in the pattern of findings for the SRL or time management predictors. As a result, we did not include sex in the final analyses presented here.

  2. To provide a check on these findings, we conducted a second set of regressions in which the Time Management model was entered in Step 1, and the SRL model was added in Step 2. Results for Step 1 of these supplemental analyses indicated that the standardized coefficients for the three time management variables were substantially equivalent to those presented in Table 2. In addition, adding the SRL variables as a group increased the amount of variance explained only for Ability to Meet Deadlines (ΔR 2 = .03, p < .001) and Preference for Pressure (ΔR 2 = .04, p <. 001). Findings from these supplementary analyses, therefore, are overwhelmingly consistent with those presented and discussed here.

  3. Although these relations have the opposite sign/valence for the ability to meet deadlines, the fact that this scale is constructed by reverse coding all four of the individual items makes this distinction trivial. It would be a simple, and perhaps well-justified, step to retain the original valence of these items and conceive of the resulting scale as the extent to which students expressed difficulty meeting deadlines. This change would result in a strong positive correlation with traditional procrastination, and a pattern of results that was substantially equivalent.

References

  • Ackerman, D. S., & Gross, B. L. (2005). My instructor made me do it: Task characteristics of procrastination. Journal of Marketing Education, 27, 5–13.

    Article  Google Scholar 

  • Adams, G. A., & Jex, S. M. (1999). Relationships between time management, control, work–family conflict, and strain. Journal of Occupational Health Psychology, 4, 72–77.

    Article  Google Scholar 

  • Albaili, M. (2010). Differences among low-, average- and high-achieving college students on learning and study strategies. Educational Psychology, 17, 171–177.

    Article  Google Scholar 

  • Bembenutty, H. (2009). Academic delay of gratification, self-efficacy, and time management among academically unprepared college students. Psychological Reports, 104, 613–623.

    Article  Google Scholar 

  • Bembenutty, H. (2011). Meaningful and maladaptive homework practices: The role of self-efficacy and self-regulation. Journal of Advanced academics, 22, 448–473.

    Article  Google Scholar 

  • Boekaerts, M. (1996). Coping with stress in childhood and adolescence. In M. Zeidner & N. S. Endler (Eds.), Handbook of coping: Theory, research, and applications (pp. 452–484). New York: Wiley.

    Google Scholar 

  • Bond, M. J., & Feather, N. T. (1988). Some correlates of structure and purpose in the use of time. Journal of Personality and Social Psychology, 55, 321–329.

    Article  Google Scholar 

  • Britton, B. K., & Tesser, A. (1991). Effects of time management and practices on college grades. Journal of Educational Psychology, 83, 405–410.

    Article  Google Scholar 

  • Burlison, J. D., Murphy, C. S., & Dwyer, W. O. (2009). Evaluation of the motivated strategies for learning questionnaire for predicting academic performance in college students of varying scholastic aptitude. College Student Journal, 43, 1313–1323.

    Google Scholar 

  • Burrus, J., Jackson, T., Holtzman, S., Roberts, R., & Mandigo, T. (2013). Examining the efficacy of a time managment intervention for high school students. ETS Research Report Series, 2013(2), i–35.

    Google Scholar 

  • Burt, C. B., Weststrate, A., Brown, C., & Champion, F. (2010). Development of the time management environment (TiME) scale. Journal of Managerial Psychology, 25, 649–668.

    Article  Google Scholar 

  • Cao, L. (2012). Examining “active” procrastination from a self-regulated learning perspective. Educational Psychology, 32, 515–545.

    Article  Google Scholar 

  • Chang, A., & Nguyen, L. T. (2011). The mediating effects of time structure on the relationships between time management behavior, job, satisfaction, and psychological well-being. Australian Journal of Psychology, 63, 187–197. doi:10.1111/j.1742-9536.2011.00008.x.

    Article  Google Scholar 

  • Choi, J. N., & Moran, S. V. (2009). Why not procrastinate? Development and validation of a new active procrastination scale. The Journal of Social Psychology, 149, 195–211.

    Article  Google Scholar 

  • Chu, A. H. C., & Choi, J. N. (2005). Rethinking procrastination: Positive effects of “active” procrastination behavior on attitudes and performance. The Journal of Social Psychology, 145, 245–264.

    Article  Google Scholar 

  • Claessens, B. C., van Eerde, W., Rutte, C. G., & Roe, R. A. (2007). A review of the time management literature. Personnel Review, 36, 255–276.

    Article  Google Scholar 

  • Corkin, D. M., Yu, S. L., & Lindt, S. F. (2011). Comparing active delay and procrastination from a self-regulated learning perspective. Learning and Individual Differences, 21, 602–606.

    Article  Google Scholar 

  • Crede, M., & Kuncel, N. (2008). Study habits, skills, and attitudes: the third pillar supporting collegiate academic performance. Perspectives on Psychological Science, 3, 425–453.

    Article  Google Scholar 

  • Dembo, M. H., & Eaton, M. J. (2000). Self-regulation of academic learning in middle-level schools. The Elementary School Journal, 100, 473–490.

    Article  Google Scholar 

  • Duckworth, A., & Yeager, D. (2015). Measurement matters: assessing personal qualities other than cognitive ability for educational purposes. Educational Researcher, 44, 237–251.

    Article  Google Scholar 

  • van Eerde, W. (2000). Procrastination: Self-regulation in initiating aversive goals. Applied Psychology: An International Review, 49, 372–389.

    Article  Google Scholar 

  • Ferrari, J. R. (2001). Procrastination as self-regulation failure of performance: Effects of cognitive load, self-awareness, and time limits on ‘working best under pressure’. European Journal of Personality, 15, 391–406.

    Article  Google Scholar 

  • Ferrari, J. R. (2004). Trait procrastination in academic settings: An overview of students who engage in task delays. In H. Schouwenburg, C. Lay, T. Pychyl, & J. Ferrari (Eds.), Counseling the procrastinator in academic settings. Washington, DC: American Psychological Association.

    Google Scholar 

  • Ferrari, J. R., & Diaz-Morales, J. F. (2007). Perceptions of self-concept and self-presentation by procrastinators: Further evidence. Spanish Journal of Psychology, 10, 91–96.

    Article  Google Scholar 

  • Ferrari, J. R., Parker, J. T., & Ware, C. B. (1992). Academic procrastination: Personality correlates with Myers-Briggs types, self-efficacy, and academic locus of control. Journal of Social Behavior and Personality, 7, 495–502.

    Google Scholar 

  • Ferrari, J. R., Diaz-Morales, J., O'Callaghan, J., Diaz, K., & Argumedo, D. (2007). Frequent behavioral delay tendencies by adults: International prevalence rates of chronic procrastination. Journal of Cross-Cultural Psychology, 38, 458–464.

    Article  Google Scholar 

  • Grunschel, C., Patrzek, J., & Fries, S. (2013). Exploring different types of academic delayers: a latent profile analysis. Learning and Individual Differences, 23, 225–233.

    Article  Google Scholar 

  • Hafner, A., Stock, A., Pinneker, L., & Strohle, S. (2013). Stress prevention through a time management training intervention: an experimental study. Educational Psychology, 34, 403–416.

    Article  Google Scholar 

  • Heckman, J., & Kautz, T. (2012). Hard evidence on soft skills. Labour Economics, 19, 451–464.

    Article  Google Scholar 

  • Hensley, L. C. (2014). Reconsidering active procrastination: Relations to motivation and achievement in college anatomy. Learning and Individual Differences, 36, 157–164.

    Article  Google Scholar 

  • Howell, A. J., & Watson, D. C. (2007). Procrastination: Associations with achievement goal orientation and learning strategies. Personality and Individual Differences, 43, 167–178.

    Article  Google Scholar 

  • Kesici, Ş., Baloğlu, M., & Deniz, M. (2011). Self-regulated learning strategies in relation with statistics anxiety. Learning and Individual Differences, 21, 472–477.

    Article  Google Scholar 

  • Kim, E., & Seo, E. H. (2013). The relationship of flow and self-regulated learning to active procrastination. Social Behavior and Personality: An International Journal, 41, 1099–1113.

    Article  Google Scholar 

  • Kitsantas, A., Winsler, A., & Huie, F. (2008). Self-regulation and ability predictors of academic success during college: A predictive validity study. Journal of Advanced Academics, 20, 42–68.

    Article  Google Scholar 

  • Klingsieck, K. (2013). Procrastination: When good things don’t come to those who wait. European Psychologist, 18, 24–34.

    Article  Google Scholar 

  • Knaus, W. (2000). Procrastination, blame, and change. Journal of Social Behavior and Personality, 15, 153–166.

    Google Scholar 

  • Koch, C. J., & Kleinmann, M. (2002). A stitch in time saves nine: Behavioural decision-making explanations for time management problems. European Journal of Work and Organizational Psychology, 11, 199–217. doi:10.1080/13594320244000120.

    Article  Google Scholar 

  • Lay, C. H., & Schouwenburg, H. C. (1993). Trait procrastination, time management, and academic behavior. Journal of Social Behavior and Personality, 8, 647–662.

    Google Scholar 

  • Lynch, D. (2006). Motivational factors, learning strategies, and resource management as predictors of course grades. College Student Journal, 40, 423–428.

    Google Scholar 

  • Lynch, D. (2010). Motivational beliefs and learning strategies as predictors of academic performance in college physics. College Student Journal, 44, 920–927.

    Google Scholar 

  • Macan, T. (1994). Time management: Test of a process model. Journal of Applied Psychology, 79, 381–391.

    Article  Google Scholar 

  • Macan, T., Shahani, C., Dipboye, R. L., & Phillips, A. P. (1990). College students' time management: Correlations with academic performance and stress. Journal of Educational Psychology, 82, 760–768.

    Article  Google Scholar 

  • Macan, T., Gibson, J., & Cunningham, J. (2010). Will you remember to read this article later when you have time? The relationship between prospective memory and time management. Personality and Individual Differences, 48, 725–730.

    Article  Google Scholar 

  • Meece, J., & Painter, J. (2008). Gender, self-regulation, and motivation. In D. Schunk & B. Zimmerman (Eds.), Motivation and self-regulated learning. Theory, research, and applications (pp. 339–368). New York: Lawrence Erlbaum Associates.

    Google Scholar 

  • Park, S. W., & Sperling, R. (2012). Academic procrastinators and their self-regulation. Psychology, 3, 12–23.

    Article  Google Scholar 

  • Pintrich, P., & Zusho, A. (2007). Students’ motivation and self-regulated learning the college classroom. In R. P. Perry & J. C. Smart (Eds.), The scholarship of teaching and learning in higher education: An evidence based perspective (pp. 731–810). New York: Springer.

    Chapter  Google Scholar 

  • Pintrich, P., Smith, D., Garcia, T., & McKeachie, W. (1993). Predictive validity and reliability of the motivated strategies for learning questionnaire (MSLQ). Educational and Psychological Measurement, 53, 801–813.

    Article  Google Scholar 

  • Pressley, M., & Harris, K. (2006). Cognitive strategies instruction: From basic research to classroom instruction. In P. Alexander & P. Winne (Eds.), Handbook of educational psychology (2nd ed., pp. 265–286). Mahwah: Erlbaum Publishers.

    Google Scholar 

  • Pychyl, T. A., Lee, J. M., Thibodeau, R., & Beck, A. (2000). Five days of emotion: An experience sampling study of undergraduate student procrastination. Journal of Social Behavior and Personality, 15, 239–254.

    Google Scholar 

  • Robbins, S., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130, 261–288.

    Article  Google Scholar 

  • Schmitt, N. (2012). Development of rationale and measures of noncognitive college student potential. Educational Psychologist, 47, 18–29.

    Article  Google Scholar 

  • Schouwenburg, H. C., Lay, C. H., Pychyl, T. A., & Ferrari, J. R. (Eds.). (2004). Counseling the procrastinator in academic settings. Washington, DC: American Psychological Association.

    Google Scholar 

  • Schraw, G., Wadkins, T., & Olafson, L. (2007). Doing the things we do: A grounded theory of academic procrastination. Journal of Educational Psychology, 99, 12–25.

    Article  Google Scholar 

  • Seo, E. H. (2013). A comparison of active and passive procrastination in relation to academic motivation. Social Behavior and Personality: An International Journal, 41, 777–786.

    Article  Google Scholar 

  • Shahani, C., Weiner, R., & Streit, M. K. (1993). An investigation of the dispositional nature of the time management construct. Anxiety, Stress, and Coping, 6, 231–243.

    Article  Google Scholar 

  • Solomon, L., & Rothblum, E. (1984). Academic procrastination: Frequency and cognitive-behavioral correlates. Journal of Counseling Psychology, 31, 503–509.

    Article  Google Scholar 

  • Steel, P. (2007). The nature of procrastination: A meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological Bulletin, 133, 65–94.

    Article  Google Scholar 

  • Steel, P. (2010). Arousal, avoidant and decisional procrastinators: Do they exist? Personality and Individual Differences, 48, 926–934.

    Article  Google Scholar 

  • Tice, D. M., & Baumeister, R. F. (1997). Longitudinal study of procrastination, performance, stress, and health: The costs and benefits of dawdling. Psychological Science, 8, 454–458.

    Article  Google Scholar 

  • Truschel, J., & Reedy, D. L. (2009). National survey: What is a learning center in the 21st century? The Learning Assistance Review, 14, 9–22.

    Google Scholar 

  • Tuckman, B. W. (1991). The development and concurrent validity of the procrastination scale. Educational & Psychological Measurement, 51, 473–480.

    Article  Google Scholar 

  • Winne, P., & Hadwin, A. F. (1998). Studying as self-regulated learning. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Metacognition in educational theory and practice (pp. 279–306). Hillsdale: Erlbaum.

    Google Scholar 

  • Winne, P., & Perry, N. (2000). Measuring self-regulated learning. In M. Boekaerts, P. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 531–566). San Diego: Academic.

    Chapter  Google Scholar 

  • Wolters, C. (2003). Understanding procrastination from a self-regulated learning perspective. Journal of Educational Psychology, 95, 179–187.

    Article  Google Scholar 

  • Wolters, C., & Benzon, M. (2013). Assessing and predicting college students’ use of strategies for the self-regulation of motivation. Journal of Experimental Education, 18, 199–221.

    Article  Google Scholar 

  • Young, D. G., & Hopp, J. M. (2014). 2012-2013 National Survey of First-Year Seminars: Exploring high-impact practices in the first college year (Research Reports on College Transitions, No. 4). Columbia, SC: University of South Carolina, National Resource Center for the First-Year Experience & Students in Transition.

  • Zimmerman, B. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. Pintrich, & M. Zeidner (Eds.), Handbook of self–regulation: Theory, research, and applications (pp. 13–29). San Diego: Academic Press.

    Google Scholar 

  • Zimmerman, B., Greenberg, D., & Weinstein, C. (1994). Self-regulating academic study time: A strategy approach. In D. Schunk & B. Zimmerman (Eds.), Self-regulation of learning and performance: Issues and educational applications (pp. 181–199). Hillsdale: Lawrence Erlbaum Associates, Inc.

    Google Scholar 

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Authors and Affiliations

  1. Dennis Learning Center, Department of Educational Studies, The Ohio State University, Columbus, OH, 43210, USA

    Christopher A. Wolters & Sungjun Won

  2. University of Delaware, Newark, DE, 19716, USA

    Maryam Hussain

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  1. Christopher A. Wolters
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  2. Sungjun Won
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Correspondence to Christopher A. Wolters.

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The authors declare that they have no conflict of interest pertaining to this study or manuscript. As well, the research reported here was conducted in accordance with the ethical guidelines of the American Psychological Association.

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Wolters, C.A., Won, S. & Hussain, M. Examining the relations of time management and procrastination within a model of self-regulated learning. Metacognition Learning 12, 381–399 (2017). https://doi.org/10.1007/s11409-017-9174-1

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