• Keine Ergebnisse gefunden

Implications for Further Research

Im Dokument Self-Regulation in School (Seite 143-160)

5 General Discussion

5.2 Strengths and Limitations

5.3.1 Implications for Further Research

The implications for further research mainly address the limitations of the present studies, which were described in the previous part of this chapter. Therefore, they aim to extend the research towards three future dimensions. First, by using multiple measurement instruments to answer the research questions, a more holistic picture of students’ self-regulated learning will be gained. More detail, especially regarding external measurements such as teachers’ judgment or classroom observations, would help to draw a more precise picture of situational aspects of students’ self-regulated learning. Furthermore, in experimental studies, a picture of micro-processes could be depicted by assessing the interrelations between specific aspects of self-regulated learning.

Second, by applying further statistical methods that provide the possibility to reflect and interpret the data even more precisely, further conclusions can be drawn. Specifically, data gained by multi-method assessments requires sophisticated statistical methods to allow for a comprehensive analysis and interpretation. Therefore, the application of methods such as time series (Schmitz, 2006) or Markov Models (Rijmen et al., 2008) would allow for interpreting the data in more detail. This would also allow for analyzing interrelations and interdependencies more precisely and therefore allow for confirming the assumption of most of the current models of regulated learning that accentuate regulation and self-regulated learning to by a cyclical process in nature (Schmitz, 2006).

Thus, we arrive at the third implication for future research, namely the assessment of

further aspects of self-regulated learning, such as situational aspects, as well as further strategies of self-regulated learning, especially the simultaneous assessment of all these layers of self-regulated learning. This approach will provide the possibility to analyze not only specific strategies but also interrelations and interdependencies of different strategies and components of self-regulated learning.

5.3.2 Implications for Practice

Concrete propositions for implications for practice are presented in the respective chapters, but following from all three studies, it can be concluded that students should take responsibility for their learning themselves, in terms of coping with boredom as well as in terms of regulating their own learning.

Naturally, teachers are responsible for developing engaging lesson plans and creating a stimulating classroom environment to help students to learn their best and ameliorate their performance. But furthermore, teachers are responsible for providing classroom settings in which students have the opportunity to regulate themselves and their learning, and additionally, show students what a necessity it is to regulate themselves and their learning (Boekaerts & Niemivirta, 2005). For example, in the first two studies, students seem to not perceive it to be possible to perform behavioral-approach behavior, and in the third study even if students perform planning or evaluation strategies, these strategies seem not to be necessary for academic improvement. On the other hand, students might believe the teachers to be responsible for their emotional and motivational perceptions in the classroom, as well as for their learning behavior and learning success and therefore might not apply any sensible strategies.

To address this, teachers could start to amenably discuss with their students their mutual responsibility for the regulation of students’ emotional and motivational experiences in the classroom, as well as their learning behavior, and therefore be receptive to students’

feedback concerning the identification and modification of activities perceived by students as anticipating self-regulation.

Concrete possible interventions of how to help students to cope with their boredom have already been discussed. Concerning students use metacognitive strategies, many interventions programs that seem to be promising exist (for a review, see Dignath et al., 2008;

Dignath & Buttner, 2008; Hattie et al., 1996). However, care must be taken that the

program tells them precisely when to regulate and how. The idea of self-regulation is just that, to regulate the self. If teachers trust in students self-regulatory abilities, and give them control to do so not by simply leaving them alone, but by supporting them only when necessary and accentuating the value of the subject as well as of the self-regulation, students might be able to perform efficient self-regulatory strategies very easily.

6 References

Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage.

Allison, P. D. (2001). Missing data. Thousands Oaks, CA: Sage.

Amos, A., Wiltshire, S., Haw, S., & McNeill, A. (2006). Ambivalence and uncertainty:

Experiences of and attitudes towards addiction and smoking cessation in the mid-to-late teens. Health Education Research, 21(2), 181-191.

Anderman, E. M., & Wolters, C. (2006). Goals, values, and affect. In P. Alexander & P. H.

Winne (Eds.), Handbook of educational psychology (2nd ed., pp. 369-390). Mahwah, NJ: Lawrence Erlbaum.

Anshel, M. H. (1991). A survey of elite athletes on the perceived causes of using banned drugs in sport. Journal of Sport Behavior, 14(4), 283-307.

Artelt, C. (2000). Strategisches Lernen [Strategic learning]. Muenster: Waxmann.

Asparouhouv, T., & Muthén, B. O. (2007). Wald test of mean equality for potential latent class predictors in mixture modeling. Retrieved September 09, 2009, from http://www.statmodel.com/download/MeanTest1.pdf

Azevedo, R. (2009). Theoretical, conceptual, methodological, and instructional issues in research on metacognition and self-regulated learning: A discussion. Metacognition Learning, 4, 87–95.

Barnett, L. A. (2005). Measuring the ABCs of leisure experience: Awareness, boredom, challenge, distress. Leisure Sciences, 27(2), 131-155.

Barnett, L. A., & Klitzing, S. W. (2006). Boredom in free time: Relationships with personality, affect, and motivation for different gender, racial and ethnic student groups. Leisure Sciences, 28(3), 223-244.

Barrett, L. F., Robin, L., Pietromonaco, P. R., & Eyssell, K. M. (1998). Are women the 'more emotional' sex? Evidence from emotional experiences in social context. Cognition and Emotion, 12(4), 555-578.

Bearden, L. J., Spencer, W. A., & Moracco, J. C. (1989). A study of high school dropouts.

Beauducel, A., & Wittmann, W. W. (2005). Simulation study on fit indexes in CFA based on data with slightly distorted simple structure. Structural Equation Modeling, 12(1), 41-75.

Belton, T., & Priyadharshini, E. (2007). Boredom and schooling: A cross-disciplinary exploration. Cambridge Journal of Education, 37(4), 579-595.

Benzécri, J.-P. (1992). Correspondence analysis handbook. New York: Marcel Dekker.

Biesanz, J. C., Deeb-Sossa, N., Papadakis, A. A., Bollen, K. A., & Curran, P. J. (2004). The role of coding time in estimating and interpreting growth curve models. Psychological Methods, 9, 30-52.

Billings, A. G., & Moos, R. H. (1981). The role of coping responses and social resources in attenuating the stress of life events. Journal of Behavioral Medicine, 4(2), 139-157.

Billings, A. G., & Moos, R. H. (1984). Coping, stress, and social resources among adults with unipolar depression. Journal of Personality and Social Psychology, 46(4), 877-891.

Blaszczynski, A., McConaghy, N., & Frankova, A. (1990). Boredom-proneness in pathological gambling. Psychological Reports, 67(1), 35-42.

Boekaerts, M. (1999). Self-regulated learning: Where we are today. International Journal of Educational Research, 31(6), 445-457.

Boekaerts, M., & Corno, L. (2005). Self-regulation in the classroom: A perspective on assessment and intervention. Applied Psychology: An International Review, 54(2), 199-231.

Boekaerts, M., & Niemivirta, M. (2005). Self-regulated learning: Finding a balance between learning goals and ego-protective goals. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 417-451). Burlington, MA: Elsevier.

Borkenau, P., & Ostendorf, F. (1993). NEO-Fünf-Faktoren-Inventar nach Costa und McCrae [NEO five factor inventory according to Costa and McCrae]. Goettingen: Hogrefe.

Borkowski, J. G. (1996). Metacognition: theory or chapter heading? Learning and Individual Differences, 8, 391 - 402.

Brown, K. W., & Ryan, R. M. (2003). The benefits of being present: Mindfulness and its role in psychological well-being. Journal of Personality & Social Psychology, 84(4), 822-848.

Büchner, G. (2004). Lenz (R. Sieburth, Trans.). New York: Archipelago books. (Original work published 1835).

Carver, C. S., & Scheier, M. F. (1994). Situational coping and coping dispositions in a stressful transaction. Journal of Personality and Social Psychology, 66(1), 184-195.

Cattell, R. B., & Scheier, I. H. (1961). The meaning and measurement of neuroticism and anxiety. New York: Ronald Press.

Celeux, G., & Soromenho, G. (1996). An entropy criterion for assessing the number of clusters in a mixture model. Journal of Classification, 13, 195-212.

Clark, S. L., & Muthén, B. O. (2009). Relating latent class analysis results to variables not included in the analysis. Manuscipt submitted for publication.

Cohen, G. L., Garcia, J., Apfel, N., & Master, A. (2006). Reducing the racial achievement gap: A social-psychological intervention. Science, 313, 1307-1310.

Cohen, J. (1978). Partialed products are interactions; partialed vectors are curve components.

Psychological Bulletin, 85, 858-866.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, N.J.:

Erlbaum.

Costa, P. T., & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO PI -R) and NEO Five Factor Inventory. Professional manual. Odessa, Fla.: Psychological Assessment Resources.

Coutinho, S. (2008). Self-efficacy, metacognition, and performance. North American Journal of Psychology, 10(1), 165-172.

Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the experience-sampling method. Journal of Nervous and Mental Diseases, 9, 526-536.

Davis, H. A., DiStefano, C., & Schutz, P. A. (2008). Identifying patterns of appraising tests in first-year college students: Implications for anxiety and emotion regulation during test taking. Journal of Educational Psychology, 100(4), 942-960.

De Corte, E., Verschaffel, L., & Masui, C. (2004). The CLIA-model: A framework for designing powerful learning environments for thinking and problem solving.

European Journal of Psychology of Education, 19(4), 365-384.

Dignath, C., Buettner, G., & Langfeldt, H.-P. (2008). How can primary school students learn self-regulated learning strategies most effectively? A meta-analysis on self-regulation training programmes. Educational Research Review, 3, 101-129.

Dignath, C., & Buttner, G. (2008). Components of fostering self-regulated learning among students. A meta-analysis on intervention studies at primary and secondary school level. Metacognition and Learning, 3(3), 231-264.

Efklides, A., & Volet, S. (Eds.). (2005). Feelings and emotions in the learning process.

Special issue (Vol. 15).

Farmer, R., & Sundberg, N. D. (1986). Boredom proneness - the development and correlates of a new scale. Journal of Personality Assessment, 50(1), 4-17.

Farrell, E., Peguero, G., Lindsey, R., & White, R. (1988). Giving voice to high school students: Pressure and boredom, ya know what I'm sayin'? American Educational Research Association, 25(4), 489-502.

Fisher, C. D. (1998). Effects of external and internal interruptions on boredom at work: Two studies. Journal of Organizational Behavior, 19(5), 503-522.

Flavell, J. H. (1979). Metacognition and cognitive monitoring. American Psychologist, 34, 906-911.

Folkman, S., & Lazarus, R. S. (1980). An analysis of coping in a middle-aged community sample. Journal of Health & Social Behavior, 21, 219-239.

Frenzel, A. C., Goetz, T., Pekrun, R., & Watt, H. M. G. (in press). Development of mathematics interest in adolescence: Influences of gender, family and school context.

Journal of Research on Adolescence.

Frenzel, A. C., Thrash, T. M., Pekrun, R., & Goetz, T. (2007). Achievement emotions in Germany and China: A cross-cultural validation of the Academic Emotions Questionnaire-Mathematics. Journal of Cross-Cultural Psychology, 38(3), 302-309.

Goetz, T. (2004). Emotionales Erleben und selbstreguliertes Lernen bei Schülern im Fach Mathematik [Students‘ emotional experiences and self-regulated learning in mathematics]. Muenchen: Utz.

Goetz, T., Frenzel, A. C., & Pekrun, R. (2007). Regulation von Langeweile im Unterricht.

Was Schülerinnen und Schüler bei der "Windstille der Seele" (nicht) tun [Regulation of boredom in class. What students do (not) when experiencing the ‚windless calm of the soul’]. Unterrichtswissenschaft, 35(4), 312-333.

Goetz, T., Frenzel, A. C., Pekrun, R., & Hall, N. C. (2006). The domain specificity of academic emotional experiences. Journal of Experimental Education, 75(1), 5-29.

Goetz, T., Frenzel, A. C., Pekrun, R., Hall, N. C., & Luedtke, O. (2007). Between- and within-domain relations of students' academic emotions. Journal of Educational Psychology, 99(4), 715-733.

Goetz, T., Frenzel, A. C., Stoeger, H., & Hall, N. C. (2009). Antecedents of everyday positive emotions: An experience sampling analysis. Motivation and Emotion.

Green-Demers, I., Pelletier, L. G., Stewart, D. G., & Gushue, N. R. (1998). Coping with the less interesting aspects of training: Toward a model of interest and motivation enhancement in individual sports. Basic & Applied Social Psychology, 20(4), 251-261.

Greenacre, M. (1993). Correspondence analysis in practice. London: Academic Press.

Greenacre, M., & Blasius, J. (Eds.). (1994). Correspondence analysis in the social sciences.

Recent developments and applications. London: Academic Press.

Greene, J. A., & Azevedo, R. (2009). A macro-level analysis of SRL processes and their relations to the acquisition of a sophisticated mental model of a complex system.

Contemporary Educational Psychology, 34(1), 18-29.

Hall, N. C., Perry, R. P., Goetz, T., Ruthig, J. C., Stupnisky, R. H., & Newall, N. E. (2007).

Attributional retraining and elaborative learning: Improving academic development through writing-based interventions. Learning and Individual Differences, 17, 280-290.

Hamilton, J. A., Haier, R. J., & Buchsbaum, M. S. (1984). Intrinsic enjoyment and boredom coping scales: Validation with personality, evoked potential and attention measures.

Personality and Individual Differences, 5(2), 183-193.

Hattie, J., Biggs, J., & Purdie, N. (1996). Effects of learning skills interventions on student learning: A meta-analysis. Review of Educational Research, 66(2), 99-136.

Hektner, J. M., Schmidt, J. A., & Csikszentmihalyi, M. (2007). Experience sampling method:

Measuring the quality of everyday life. Thousand Oaks, CA: Sage Publications.

Hembree, R. (1988). Correlates, causes, effects, and treatment of test anxiety. Review of Educational Research, 58(1), 47-77.

Holahan, C. J., Moos, R. H., Holahan, C. K., Brennan, P. L., & Schutte, K. K. (2005). Stress generation, avoidance coping, and depressive symptoms: A 10-year model. Journal of Consulting and Clinical Psychology, 73(4), 658-666.

Holahan, C. J., Moos, R. H., Moerkbak, M. L., Cronkite, R. C., Holahan, C. K., & Kenney, B.

A. (2007). Spousal similarity in coping and depressive symptoms over 10 years.

Journal of Family Psychology, 21(4), 551-559.

Holahan, C. J., Moos, R. H., & Schaefer, J. A. (1996). Coping, stress resistance, and growth:

Conceptualizing adaptive functioning. In M. Zeidner & N. S. Endler (Eds.), Handbook of coping. Theory, research, applications (pp. 24-43). New York: John Wiley & Sons, Inc.

Hox, J. J. (2002). Multilevel analysis: Techniques and applications. Mahwah, NJ: Lawrence Erlbaum Associates.

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55.

Huebner, S., Nueckles, M., & Renkl, A. (2009). Writing learning journals: Instructional support to overcome learning-strategy deficits. Learning and Instruction, 20, 1-12.

Jamieson-Noel, D., & Winne, P. H. (2003). Comparing self-reports to traces of studying behavior as representations of students' studying and achievement. Zeitschrift für Pädagogische Psychologie/ German Journal of Educational Psychology, 17(3/4), 159-171.

Kanevsky, L., & Keighley, T. (2003). To produce or not to produce? Understanding boredom and the honor in underachievement. Roeper Review, 26(1), 20-28.

Karpicke, J. D. (2009). Metacognitive control and strategy selection: Deciding to practice retrieval during learning. Journal of Experimental Psychology: General, 138(4), 469-486.

Kass, S. J., Vodanovich, S. J., & Callender, A. (2001). State-trait boredom: Relationship to absenteeism, tenure, and job satisfaction. Journal of Business and Psychology, 16(2), 317-327.

Kleine, M., Goetz, T., Pekrun, R., & Hall, N. (2005). The structure of students' emotions experienced during a mathematical achievement test. Zentralblatt für Didaktik der Mathematik, 37(3), 221-225.

Kleinginna, P. R., & Kleinginna, A. M. (1981). A categorized list of emotion definitions, with suggestions for a consensual definition. Motivation and Emotion, 5(4), 345-379.

Koriat, A., & Nussinson, R. (2009). Attributing study effort to data-driven and goal-driven effects: Implications for metacognitive judgments. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35(5), 1338-1343.

Larson, R. W., & Richards, M. H. (1991). Boredom in the middle school years: Blaming schools versus blaming students. American Journal of Education, 99(4), 418-443.

Lewis, M., & Haviland-Jones, J. (2000). Handbook of Emotions. New York: Guilford Press.

Linnenbrink, E. (2006). Emotion research in education: Theoretical and methodological perspectives on the integration of affect, motivation, and cognition. Educational Psychology Review, 18(4), 307-314.

Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88(3), 767-778.

Lockl, K., & Schneider, W. (2002). Developmental trends in children's feeling-of-knowing judgements. International Journal of Behavioral Development, 26(4), 327-333.

Lohrmann, K. (2008). Langeweile im Unterricht. Muenster: Waxmann.

Marsh, H. W. (1990). The structure of academic self-concept: The Marsh/Shavelson model.

Journal of Educational Psychology, 82(4), 623-636.

Marsh, H. W., Balla, J. R., & McDonald, R. P. (1988). Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size. Psychological Bulletin, 103, 391-410.

Marsh, H. W., Lüdtke, O., Trautwein, U., & Morin, A. J. S. (2009). Classical latent profile analysis of academic self-concept dimensions: Synergy of person- and variable-centered approaches to theoretical models of self-concept. Structural Equation Modeling, 16(2), 191-225.

Mikulas, W. L., & Vodanovich, S. J. (1993). The essence of boredom. Psychological Record, 43(1), 3-12.

Minnaert, A., & Janssen, P. J. (1997). Bias in the assessment of regulation activities in studying at the level of higher education. European Journal of Psychological Assessment, 13(2), 99-108.

Moneta, G. B., & Csikszentmihalyi, M. (1996). The effect of perceived challenges and skills on the quality of subjective experience. Journal of Personality, 64(2), 275-310.

Moos, R. H., & Holahan, C. J. (2003). Dispositional and contextual perspectives on coping:

Toward an integrative framework. Journal of Clinical Psychology, 59(12), 1387-1403.

Muthén, B. O., & Muthén, L. K. (2000). Integrating person-centered and variable-centered analysis: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research, 24(6), 882-891.

Muthén, L. K., & Muthén, B. O. (1998-2007). Mplus User’s Guide (5th ed.). Los Angeles, CA: Muthén & Muthén.

Nelson, T. O., Narens, L., & Dunlosky, J. (2004). A revised methodology for research on metamemory: Pre-judgment recall and monitoring (PRAM). Psychological Methods, 9(1), 53-69.

Newberry, A. L., & Duncan, R. D. (2001). Roles of boredom and life goals in juvenile delinquency. Journal of Applied Social Psychology, 31(3), 527-541.

Nueckles, M., Huebner, S., & Renkl, A. (2009). Enhancing self-regulated learning by writing learning protocols. Learning and Instruction, 19(3), 259-271.

Nueckles, M., Schwonke, R., Berthold, K., & Renkl, A. (2004). The use of public learning diaries in blended learning. Journal of Educational Media, 29(1), 49-66.

Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling, 14(4), 535-569.

Nylund, K. L., Nishina, A., Bellmore, A., & Graham, S. (2007). Subtypes, severity, and structural stability of peer victimization: What does latent class analysis say? Child Development, 78(6), 1706-1722.

Paris, S. G., & Paris, A. H. (2001). Classroom applications of research on self-regulated learning. Educational Psychologist, 36(2), 89-101.

Pearlin, L. I., & Schooler, C. (1978). The structure of coping. Journal of Health & Social Behavior, 19(1), 2-21.

Pekrun, R., Goetz, T., Daniels, L. M., Stupnisky, R. H., & Perry, R. P. (in press). Boredom in achievement settings: Exploring control-value antecedents and performance outcomes of a neglected emotion. Journal of Educational Psychology.

Pekrun, R., Goetz, T., & Frenzel, A. C. (2005). Academic Emotions Questionnaire - Mathematics (AEQ-M) - User´s manual. Muenchen: University of Munich:

Department of Psychology.

Pekrun, R., Goetz, T., Titz, W., & Perry, R. P. (2002). Academic emotions in students' self-regulated learning and achievement: A program of qualitative and quantitative research. Educational Psychologist, 37(2), 91-105.

Pintrich, P. R. (2005). The role of goal-orientation in self-regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 451-502).

Burlington, MA: Elsevier.

Pintrich, P. R., Smith, D. A. F., Garcia, T., & Mckeachie, W. J. (1993). Reliability and predictive validity of the motivated strategies for learning questionnaire (MSLQ).

Educational & Psychological Measurement, 53(3), 801-813.

Puustinen, M., & Pulkkinen, L. (2001). Models of self-regulated learning: A review.

Scandinavian Journal of Educational Research, 45(3), 269-286.

Rana, T. (2007). Boredom and psychological malaise. The Psychologist, 20(5), 278-279.

Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models. Applications and data analysis methods (2 ed.). Thousendoaks: Sage.

Raudenbush, S. W., Bryk, A. S., & Congdon, R. (2007). HLM 6.04. Hierarchical Linear and Nonlinear Modeling. Lincolnwood: Scientific Software International.

Rezvan, S., Ahmadi, S. A., & Abedi, M. R. (2006). The effects of metacognitive training on the academic achievement and happiness of Esfahan University conditional students.

Counselling Psychology Quarterly, 19(4), 415-428.

Rijmen, F., Vansteelandt, K., & De Boeck, P. (2008). Latent class models for diary method data: Parameter estimation by local computations. Psychometrika, 73(2), 167-182.

Rupp, D. E., & Vodanovich, S. J. (1997). The role of boredom proneness in self-reported anger and aggression. Journal of Social Behavior & Personality, 12(4), 925-936.

Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art.

Psychological Methods, 7(2), 147-177.

Scherer, K. R. (2000). Emotions as episodes of subsystems synchronization driven by nonlinear appraisal processes. In M. D. Lewis & I. Granic (Eds.), Emotion, development, and self-organization (pp. 70-99). Cambridge, UK: Cambridge University Press.

Scherer, K. R., Schorr, A., & Johnstone, T. (Eds.). (2001). Appraisal processes in emotion.

Theory, methods, research. Oxford: Oxford University Press.

Schiefele, U., Krapp, A., Wild, K.-P., & Winteler, A. (1993). Der 'Fragebogen zum Studieninteresse' (FSI). Diagnostica, 39(4), 335-351.

Schiefele, U., & Pekrun, R. (1996). Psychologische Modelle des fremdgesteuerten und selbstgesteuerten Lernens. In F. E. Weinert (Ed.), Enzyklopädie der Psychologie (Vol.

2, pp. 249-278). Goettingen: Hogrefe.

Schmitz, B. (2006). Advantages of studying processes in educational research. Learning and Instruction, 16(5), 433-449.

Schmitz, B., Schmidt, M., Landmann, M., & Spiel, C. (2007). New developments in the field of self-regulated learning. Zeitschrift für Psychologie/Journal of Psychology, 215(3), 153-156.

Schober, B., Finsterwald, M., Wagner, P., Lüftenegger, M., Aysner, M., & Spiel, C. (2007).

TALK--A training program to encourage lifelong learning in school. Zeitschrift für Psychologie/Journal of Psychology, 215(3), 183-193.

Schraw, G. (1998). Promoting general metacognitive awareness. Instructional Science, 26(1), 113-125.

Schutz, P. A., & Lanehart, S. L. (2002). Introduction: Emotions in education. Educational Psychologist, 37(2), 67-68.

Schutz, P. A., & Pekrun, R. (2007). Emotion in education. San Diego: Academic Press.

Schwartz, J. E., Neale, J., Marco, C., Stone, A. A., & Shiffman, S. S. (1999). Does trait coping exist? A momentary assessment approach to the evaluation of traits. Journal of Personality & Social Psychology, 77(2), 360-369.

Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2), 461-464.

Sinkavich, F. J. (1994). Metamemory, attributional style, and study strategies: Predicting classroom performance in graduate students. Journal of Instructional Psychology, 21(2), 172-182.

Skinner, E. A., Edge, K., Altman, J., & Sherwood, H. (2003). Searching for the structure of coping: A review and critique of category systems for classifying ways of coping.

Psychological Bulletin, 129(2), 216-269.

Sommer, B. (1985). What's different about truants? A comparison study of eighth-graders.

Journal of Youth and Adolescence, 14(5), 411-422.

Sperling, R. A., Howard, B. C., Staley, R., & DuBois, N. (2004). Metacognition and self-regulated learning constructs. Educational Research and Evaluation, 10(2), 117-139.

Spielberger, C. D. (1972). Anxiety as an emotional state. In C. D. Spielberger (Ed.), Anxiety:

Current trends in theory and research (Vol. 1, pp. 23-49). New York: Academic Press.

Spielberger, C. D. (1983). Manual for the State-Trait Anxiety Inventory: STAI. Palo Alto, CA:

Consulting Psychologists Press.

Spoerer, N., & Brunstein, J. C. (2006). Erfassung selbstregulierten Lernens mit Selbstberichtsverfahren. Zeitschrift für Pädagogische Psychologie/ German Journal of Educational Psychology, 20(3), 147-160.

Steyer, R. (2005). Analyzing individual and average causal effects via structural equation models. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 1(1), 39-54.

Steyer, R., Ferring, D., & Schmitt, M. J. (1992). States and traits in psychological assessment.

European Journal of Psychological Assessment, 8(2), 79-98.

Steyer, R., & Partchev, I. (2007). A program for the uni- and multivariate analysis of unconditional, conditional and average mean differences between groups. Jena:

University of Jena.

Steyer, R., Partchev, I., Kroehne, U., Nagengast, B., & Fiege, C. (2008). Causal effects in experiments and quasi-experiments: Springer Verlag.

Stone, A. A., Greenberg, M. A., Kennedy-Moore, E., & Newman, M. G. (1991). Self-report, situation-specific coping questionnaires: What are they measuring? Journal of Personality & Social Psychology, 61(4), 648-658.

Suedfeld, P. (1975). The benefits of boredom: Sensory deprivation reconsidered. American Scientist, 63(1), 60-69.

Terry, D. J. (1994). Determinants of coping: The role of stable and situational factors. Journal

Terry, D. J. (1994). Determinants of coping: The role of stable and situational factors. Journal

Im Dokument Self-Regulation in School (Seite 143-160)