Learning strategies and reading literacy among Chinese and Finnish adolescents: evidence of suppression

References

• Arbuckle, J. (2011). IBM SPSS Amos 20.0 [computer program]. New York, NY: IBM.
   Google Scholar
• Areepattamannil, S. (2014). Are learning strategies linked to academic performance among adolescents in two states in India? A tobit regression analysis. The Journal of General Psychology, 141, 408–424. doi:10.1080/00221309.2014.957637
   PubMed Web of Science ®Google Scholar
• Biggs, J. B. (1984). Learning strategies, student motivation patterns, and subjectively perceived success. In J. R. Kirby (Ed.), Cognitive strategies and educational performance (pp. 111–134). New York, NY: Academic Press.
   Google Scholar
• Biggs, J. B. (1987). Student approaches to learning. Hawthorn: Australian Council for Educational Research.
   Google Scholar
• Byrne, B. M. (2008). Testing for multigroup equivalence of a measuring instrument: A walk through the process. Psicothema, 20, 872–882. doi:10.1007/s10551-015-2548-x
   PubMed Web of Science ®Google Scholar
• Byrne, B. M. (2013). Structural equation modeling with AMOS: Basic concepts, applications, and programming. New York, NY: Routledge.
   Google Scholar
• Byrne, B. M., Shavelson, R. J., & Muthén, B. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin, 105, 456–466. doi:10.1037/0033-2909.105.3.456
   Web of Science ®Google Scholar
• Chiu, M. M., Chow, B. W.-Y., & Mcbride-Chang, C. (2007). Universals and specifics in learning strategies: Explaining adolescent mathematics, science, and reading achievement across 34 countries. Learning and Individual Differences, 17, 344–365. doi:10.1016/j.lindif.2007.03.007
   Web of Science ®Google Scholar
• Cohen, J. (1969). Statistical power analysis for the behavioral sciences. New York, NY: Academic Press.
   Google Scholar
• Conger, A. J. (1974). A revised definition for suppressor variables: A guide to their identification and interpretation. Educational and psychological measurement, 34 (1), 35–46. doi:10.1177/001316447403400105
   Web of Science ®Google Scholar
• Corno, L., & Mandinach, E. B. (1983). The role of cognitive engagement in classroom learning and motivation. Educational Psychologist, 18, 88–108. doi:10.1080/00461528309529266
   Google Scholar
• Darlington, R. B. (1968). Multiple regression in psychological research and practice. Psychological Bulletin, 69, 161–182. doi:10.1037/h0025471
   PubMed Web of Science ®Google Scholar
• de Boer, H., Donker, A. S., Dignath van Ewijk, C. C., & van der Werf, M. P. C. (2014). Effective strategies for self-regulated learning: A meta-analysis. Educational Research Review, 11, 1–26. doi:10.1016/j.edurev.2013.11.002
   Web of Science ®Google Scholar
• Dewe, P. (2003). A closer examination of the patterns when coping with work-related stress: Implications for measurement. Journal of Occupational and Organizational Psychology, 76, 517–524. doi:10.1348/096317903322591613
   Web of Science ®Google Scholar
• Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74, 59–109. Retrieved from http://0-www.jstor.org.edlis.ied.edu.hk/stable/351606110.3102/00346543074001059
   Web of Science ®Google Scholar
• Gernsbacher, M. A. (1997). Two decades of structure building. Discourse Processes, 23, 265–304. doi:10.1080/01638539709544994
   PubMed Web of Science ®Google Scholar
• Hamilton, R. J. (1999). The role of elaboration within a text processing and text adjunct context. British Journal of Educational Psychology, 69, 363–376. doi:10.1348/000709999157770
   Web of Science ®Google Scholar
• Hargett, M. Q., Bolen, L. M., & Hall, C. W. (1994, March). Differences in learning strategies for high, middle, and low ability students measured by the study process questionnaire (ERIC Document Reproduction Service No. ED376402). Paper presented at the the Annual Meeting of the National Association of School Psychologists, Seattle, WA.
   Google Scholar
• Horst, P. (1941). The role of predictor variables which are independent of the criterion. Social Science Research Council, 48, 431–436.
   Google Scholar
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: A multidisciplinary journal, 6 (1), 1–55. doi:10.1080/10705519909540118
   Web of Science ®Google Scholar
• Keith, T. Z. (2014). Multiple regression and beyond: An introduction to multiple regression and structural equation modeling (2nd ed.). New York, NY: Routledge.
   Google Scholar
• Kintsch, W. (1998). Comprehension: A paradigm for cognition. New York, NY: Cambridge University Press.
   Google Scholar
• Kintsch, W., Patel, V. L., & Ericsson, K. A. (1999). The role of long-term working memory in text comprehension. Psychologia, 42, 186–198.
   Web of Science ®Google Scholar
• Lee, J. (2014). Universal factors of student achievement in high-performing Eastern and Western countries. Journal of Educational Psychology, 106, 364–374. doi:10.1037/a0035609
   Web of Science ®Google Scholar
• Leopold, C., & Leutner, D. (2015). Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies. Metacognition and Learning, 10(1), 1–34. doi:10.1007/s11409-014-9130-2
   Web of Science ®Google Scholar
• Maassen, G. H., & Bakker, A. B. (2001). Suppressor variables in path models: Definitions and interpretations. Sociological Methods & Research, 30, 241–270. doi:10.1177/0049124101030002004
   Web of Science ®Google Scholar
• MacKinnon, D. P., Krull, J. L., & Lockwood, C. M. (2000). Equivalence of the mediation, confounding and suppression effect. Prevention Science, 1, 173–181. doi:10.1023/A:1026595011371
   PubMedGoogle Scholar
• Marton, F., & Säljö, R. (1976a). On qualitative differences in learning: I – Outcome and process. British Journal of Educational Psychology, 46, 4–11. doi:10.1111/j.2044-8279.1976.tb02980.x
   Web of Science ®Google Scholar
• Marton, F., & Säljö, R. (1976b). On qualitative differences in learning: II – Outcome as a function of the learner's conception of the task. British Journal of Educational Psychology, 46, 115–127. doi:10.1007/s10734-004-6667-z
   Web of Science ®Google Scholar
• Marton, F., Wen, Q., & Wong, K. C. (2005). ‘Read a hundred times and the meaning will appear…’ Changes in Chinese University students’ views of the temporal structure of learning. Higher Education, 49, 291–318. doi:10.1007/s10734-004-6667-z
   Web of Science ®Google Scholar
• McCombs, B. L., & Miller, L. (2008). The school leader’s guide to learner-centered education: From complexity to simplicity. London: Corwin Press.
   Google Scholar
• Meredith, W., & Horn, J. (2001). The role of factorial invariance in modeling growth and change. In L. Collins & A. G. Sayer (Eds.), New methods for the analysis of change: Decade of behavior (pp. 203–240). Washington, DC: American Psychological Association.10.1037/10409-000
   Google Scholar
• Organization of Economic Co-operation and Development. (2009). PISA 2009 assessment framework: Key competencies in reading, mathematics and science. NJ: OECD Publishing.
   Google Scholar
• Organization of Economic Co-operation and Development. (2010). PISA 2009 results: What students know and can do – Student performance in reading, mathematics and science. I. Paris: PISA, OECD Publishing. doi:http://dx.doi.org/10.1787/9789264091450-en
   Google Scholar
• Organization of Economic Co-operation and Development. (2012). PISA 2009 technical report. Paris: OECD Publishing.
   Google Scholar
• Pintrich, P. R., & de Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82, 33–40. doi:10.1037//0022-0663.82.1.33
   Web of Science ®Google Scholar
• Purdie, N., & Hattie, J. (1996). Cultural differences in the use of strategies for self-regulated learning. American Educational Research Journal, 33, 845–871. doi:10.3102/00028312033004845
   Web of Science ®Google Scholar
• Raju, N. S., Laffitte, L. J., & Byrne, B. M. (2002). Measurement equivalence: A comparison of methods based on confirmatory factor analysis and item response theory. Journal of Applied Psychology, 87, 517–529. doi:10.1037//0021-9010.87.3.517
   PubMed Web of Science ®Google Scholar
• Rao, N., & Chan, C. K. (2010). Moving beyond paradoxes: Understanding Chinese learners and their teachers. In C. K. Chan & N. Rao (Eds.), Revisiting the Chinese learner: Changing contexts, changing education (pp. 3–32). Hong Kong: Springer.10.1007/978-90-481-3840-1
   Google Scholar
• Tzelgov, J., & Henik, A. (1991). Suppression situations in psychological research: Definitions, implications, and applications. Psychological Bulletin, 109, 524–536. doi:10.1037/0033-2909.109.3.524
   Web of Science ®Google Scholar
• Veenman, M. V. J. (2011). Learning to self-monitor and self-regulate. In R. E. Mayer & P. A. Alexander (Eds.), Handbook of research on learning and instruction (pp. 197–218). New York, NY: Routledge.
   Google Scholar
• Veenman, M. V. J., Van Hout-Wolters, B. H., & Afflerbach, P. (2006). Metacognition and learning: Conceptual and methodological considerations. Metacognition and Learning, 1, 3–14. doi:10.1007/s11409-006-6893-0
   Google Scholar
• Weinstein, C. E., Acee, T. W., & Jung, J. (2011). Self-regulation and learning strategies. New Directions for Teaching and Learning, 2011, 45–53. doi:10.1002/tl.443
   Google Scholar
• Weinstein, C. E., & Mayer, R. E. (1986). The teaching of learning strategies. In M. C. Wittrock (Ed.), Handbook of research on teaching (3rd ed.). (pp. 315–327). New York, NY: Macmillan.
   Google Scholar
• Wright, B. D., & Mok, M. M. (2004). An overview of the family of Rasch measurement models. In E. V. Smith & R. M. Smith (Eds.), Introduction to Rasch measurement (pp. 1–24). Maple Grove, MN: JAM Press.
   Google Scholar
• Zimmerman, B. J. (1990). Self-regulated learning and academic achievement: An overview. Educational Psychologist, 25, 3–17. doi:10.1207/s15326985ep2501_2
   Web of Science ®Google Scholar
• Zimmerman, B. J., Bembenutty, H., Cleary, T. J., & Kitsantas, A. (2013). Applications of self-regulated learning across diverse disciplines: A tribute to Barry J. Zimmerman. Charlotte, NC: Information Age Publishing.
   Google Scholar
• Zusho, A., Pintrich, P. R., & Coppola, B. (2003). Skill and will: The role of motivation and cognition in the learning of college chemistry. International Journal of Science Education, 25, 1081–1094. doi:10.1080/0950069032000052207
   Web of Science ®Google Scholar