Educational Psychology Review

, Volume 21, Issue 3, pp 219–246

A Review of Self-Report and Alternative Approaches in the Measurement of Student Motivation

Review Article

Abstract

Within psychological and educational research, self-report methodology dominates the study of student motivation. The present review argues that the scope of motivation research can be expanded by incorporating a wider range of methodologies and measurement tools. Several authors have suggested that current study of motivation is overly reliant on self-report measures, warranting a move toward alternative approaches. This review critiques self-report methodology as a basis for examining alternative conceptualizations of motivation (e.g., phenomenological, neuropsychological/physiological, and behavioral) and related measurement tools. Future directions in motivational methodology are addressed, including attempts at integration or combination of these approaches and a preliminary functional framework for the development of novel, multidimensional approaches to the study of motivation.

Keywords

Motivation Measurement Children Review Adolescents 

References

  1. Ainslie, G. (1992). Picoeconomics: The strategic interaction of successive motivational states within the person. Cambridge: Cambridge University Press.Google Scholar
  2. Alagumalai, S., Curtis, D. D., Hungi, N. (Eds.). 2005. Applied Rasch measurement: A book of exemplars. New York: Springer.Google Scholar
  3. Andrich, D. (2005). Rasch models for ordered response categories. In B. S. Everitt & D. C. Howell (Eds.), Encyclopaedia of statistics in behavioral science (pp. 1698–1707). Chichester: Wiley.Google Scholar
  4. Arana, F. S., Parkinson, J. A., Hinton, E., Holland, A. J., Owen, A. M., & Roberts, A. C. (2003). Dissociable contributions of the human amygdala and orbitofrontal cortex to incentive motivation and goal selection. Journal of Neuroscience, 23, 9632–9638.Google Scholar
  5. Axelrod, B. N., Fichtenberg, N. L., Millis, S. R., & Wertheimer, J. C. (2006). Detecting incomplete effort with digit span from the Wechsler Adult Intelligence Scale—third edition. Clinical Neuropsychologist, 20, 513–523.CrossRefGoogle Scholar
  6. Ball, S. (1982). Motivation. In H. E. Mitzel (Ed.), Encyclopaedia of educational research (5th ed., pp. 1256–1263). New York: Macmillan.Google Scholar
  7. Bear, G. G., Minke, K. M., & Manning, M. A. (2002). Self-concept of students with learning disabilities: A meta-analysis. School Psychology Review, 31, 405–427.Google Scholar
  8. Beatty, J. (1982). Phasic not tonic papillary responses vary with auditory vigilance performance. Psychophysiology, 19, 167–172.CrossRefGoogle Scholar
  9. Beauchaine, T. (2001). Vagal tone, development, and Gray’s motivational theory: Toward an integrated model of autonomic nervous system functioning in psychopathology. Development & Psychopathology, 13, 183–214.CrossRefGoogle Scholar
  10. Berridge, K. C. (2004). Motivation concepts in behavioral neuroscience. Physiology & Behavior, 81, 179–209.CrossRefGoogle Scholar
  11. Binder, L. M. (2002). The Portland Digit Recognition Test: A review of validation data and clinical use. Journal of Forensic Neuropsychology, 2(3–4), 27–41.Google Scholar
  12. Blair, C., Peters, R., & Granger, D. (2004). Physiological and neuropsychological correlates of approach/withdrawal tendencies in preschool: Further examination of the Behavioral Inhibition System/Behavioral Activation System scales for young children. Developmental Psychobiology, 45, 113–124.CrossRefGoogle Scholar
  13. Boersma, F. J., & Chapman, J. W. (1992). Perception of ability scale for students. Los Angeles: Western Psychological Services.Google Scholar
  14. Bong, M. (1996). Problems in academic motivation research and advantages and disadvantages of their solutions. Contemporary Educational Psychology, 21, 149–165.CrossRefGoogle Scholar
  15. Bracken, B. A. (1992). Multidimensional self concept scale. Austin: Pro-Ed.Google Scholar
  16. Brehm, J. W., & Self, E. A. (1989). The intensity of motivation. Annual Reviews of Psychology, 40, 109–131.CrossRefGoogle Scholar
  17. Byrne, B. M. (1996). Academic self-concept: Its structure, measurement, and relation to academic achievement. In B. A. Bracken (Ed.), Handbook of self-concept (pp. 287–316). New York: Wiley.Google Scholar
  18. Byrne, B. M. (2002). Validating the measurement and structure of self-concept: Snapshots of past, present, and future research. American Psychologist, 57, 897–909.CrossRefGoogle Scholar
  19. Carver, C. S., & White, T. L. (1994). Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS scales. Journal of Personality & Social Psychology, 67, 319–333.CrossRefGoogle Scholar
  20. Chapman, J. W., & Tunmer, W. E. (1995). Development of young children’s reading self-concepts: An examination of emerging subcomponents and their relationship with reading achievement. Journal of Educational Psychology, 87, 154–167.CrossRefGoogle Scholar
  21. Creswell, J. W. (1998). Qualitative inquiry and research design: Choosing among five traditions. Thousand Oaks: Sage.Google Scholar
  22. Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the experience sampling method. Journal of Nervous & Mental Disease, 175, 526–536.CrossRefGoogle Scholar
  23. Csikszentmihalyi, M., Abuhamdeh, S., & Nakamura, J. (2005). Flow. In A. J. Elliot & C. S. Dweck (Eds.), Handbook of competence and motivation (pp. 598–608). New York: Guilford.Google Scholar
  24. Cumming, J., Olphin, T., & Law, M. (2007). Self-reported psychological states and physiological responses to different types of motivational general imagery. Journal of Sport Exercise Psychology, 29, 629–644.Google Scholar
  25. Dörnyei, Z. (2000). Motivation in action: Towards a process-oriented conceptualization of student motivation. British Journal of Educational Psychology, 70, 519–538.CrossRefGoogle Scholar
  26. Dubrovinskaya, N. V., & Machinskaya, R. I. (2002). Reactivity of θ and α EEG frequency bands in voluntary attention in junior schoolchildren. Human Physiology, 28, 520–525.CrossRefGoogle Scholar
  27. Dweck, C. S. (1986). Motivational processes affecting learning. American Psychologist, 41, 1040–1048.CrossRefGoogle Scholar
  28. Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132.CrossRefGoogle Scholar
  29. Elbaum, B., & Vaughn, S. (2003). For which students with learning disabilities are self-concept interventions effective? Journal of Learning Disabilities, 36, 101–108.CrossRefGoogle Scholar
  30. Elliot, A. J., & Maier, M. A. (2007). Color and psychological functioning. Current Directions in Psychological Science, 16, 250–254.CrossRefGoogle Scholar
  31. Elliot, A. J., & McGregor, H. A. (2001). A 2 × 2 achievement goal framework. Journal of Personality & Social Psychology, 80, 501–519.CrossRefGoogle Scholar
  32. Elliot, A. J., & Murayama, K. (2008). On the measurement of achievement goals: Critique, illustration, and application. Journal of Educational Psychology, 100, 613–628.CrossRefGoogle Scholar
  33. Elliot, A. J., Maier, M. A., Binser, M. J., Friedman, R., & Pekrun, R. (2009). The effect of red on avoidance behavior in achievement contexts. Personality and Social Psychological Bulletin, 35, 365–375.CrossRefGoogle Scholar
  34. Elliott, A. J. (2004). Multimethod approaches in educational research. International Journal of Disability, Development & Education, 51, 135–149.CrossRefGoogle Scholar
  35. Elliott, R., Newman, J. L., Longe, O. A., & Deakin, J. F. W. (2003). Differential response patterns in the striatum and orbitofrontal cortex to financial reward in humans: A parametric functional magnetic resonance imaging study. Journal of Neuroscience, 23, 303–307.Google Scholar
  36. Ernst, M., Nelson, E. E., McClure, E. B., Monk, C. S., Munson, S., Eshel, N., et al. (2004). Choice selection and reward anticipation: An fMRI study. Neuropsychologia, 42, 1585–1597.CrossRefGoogle Scholar
  37. Fortier, M. S., Vallerand, R. J., & Guay, F. (1995). Academic motivation and school performance: Toward a structural model. Contemporary Educational Psychology, 20, 257–274.CrossRefGoogle Scholar
  38. Frijters, J.C., De Palma, M., Barron, R.W., & Lovett, M.W. 2005. Motivation as a moderator of response to remedial reading instruction: A (modifiable) aptitude x treatment interaction. Symposium paper presented at the 12th Annual Meetings of the Society for the Scientific Study of Reading: Toronto, ON, June 24–26, 2005.Google Scholar
  39. Gambrell, L. B., Palmer, B. M., Codling, R. M., & Mazzoni, S. A. (1996). Assessing motivation to read. The Reading Teacher, 49, 518–533.CrossRefGoogle Scholar
  40. Gardner, R. C. (1985). Social psychology and second language learning: The role of attitudes and motivation. London: Edward Arnold.Google Scholar
  41. Gergen, K. J. (2001). Psychological science in a postmodern context. American Psychologist, 56, 803–813.CrossRefGoogle Scholar
  42. Gilmore, L., Cuskelly, M., & Hayes, A. (2003). A comparative study of mastery motivation in young children with Down’s syndrome: Similar outcomes, different processes? Journal of Intellectual Disability Research, 47, 181–190.CrossRefGoogle Scholar
  43. Goltz, F. (1960). On the functions of the hemispheres. In G. von Bonin (Ed.), The cerebral cortex. Springfield: Thomas.Google Scholar
  44. Gottfried, A. E. (1986). Manual for the children's academic intrinsic motivation inventory. Odessa: Psychological Assessment Resources.Google Scholar
  45. Gottfried, A. E. (1990). Academic intrinsic motivation in young elementary school children. Journal of Educational Psychology, 82, 525–538.CrossRefGoogle Scholar
  46. Grant, H., & Dweck, C. S. (2003). Clarifying achievement goals and their impact. Journal of Personality & Social Psychology, 85, 541–553.CrossRefGoogle Scholar
  47. Green, J. C. (2007). Mixed methods in social inquiry. San Francisco: Jossey-Bass.Google Scholar
  48. Grill, H. J., & Norgren, R. (1978). Neurological tests and behavioral deficits in chronic thalamic and chronic decerberate rats. Brain Research, 143, 299–312.CrossRefGoogle Scholar
  49. Guay, F., Vallerand, R. J., & Blanchard, C. (2000). On the assessment of situational intrinsic and extrinsic motivation: The Situational Motivation Scale (SIMS). Motivation & Emotion, 24, 175–213.CrossRefGoogle Scholar
  50. Hannula, M. S. (2006). Motivation in mathematics: Goals reflected in emotions. Educational Studies in Mathematics, 63, 165–178.CrossRefGoogle Scholar
  51. Harter, S. (1981). A new self-report scale of intrinsic versus extrinsic orientation in the classroom: Motivational and informational components. Developmental Psychology, 17, 300–312.CrossRefGoogle Scholar
  52. Harter, S. (1982). The Perceived Competence Scale for Children. Child Development, 53, 87–97.CrossRefGoogle Scholar
  53. Harter, S. (1985). The self-perception profile for children: Revision of the perceived competence scale for children manual. Denver: University of Denver.Google Scholar
  54. Harter, S., & Pike, R. (1984). The pictorial scale of perceived competence and social acceptance for young children. Child Development, 55, 1969–1982.CrossRefGoogle Scholar
  55. Hattie, J., & Marsh, H. W. (1996). Future directions in self-concept research. In B. A. Bracken (Ed.), Handbook of self-concept (pp. 421–462). New York: Wiley.Google Scholar
  56. Heckhausen, H., & Kuhl, J. (1985). From wishes to action: The dead ends and short-cuts on the long way to action. In M. Frese & J. Sabini (Eds.), Goal-directed behavior: Psychological theory and research on action. Hillsdale: Erlbaum.Google Scholar
  57. Henderlong, J., & Paris, S. G. (1996). Children’s motivation to explore partially completed exhibits in hands-on museums. Contemporary Educational Psychology, 21, 111–128.CrossRefGoogle Scholar
  58. Henk, W. A., & Melnick, S. A. (1995). The Reader Self-Perception Scale (RSPS): A new tool for measuring how children feel about themselves as readers. The Reading Teacher, 48, 470–482.Google Scholar
  59. Hickey, D. T. (1997). Motivation and contemporary socio-constructivist instructional perspectives. Educational Psychologist, 32, 175–193.CrossRefGoogle Scholar
  60. Hidi, S., Renninger, K. A., & Krapp, A. (1992). The present state of interest research. In K. A. Renninger, S. Hidi & A. Krapp (Eds.), The role of interest in learning and development (pp. 433–447). Hillsdale: Erlbaum.Google Scholar
  61. Hillman, C. H., Rosengren, K. S., & Smith, D. P. (2004). Emotion and motivated behavior: Postural adjustments to affective picture viewing. Biological Psychology, 66, 51–62.CrossRefGoogle Scholar
  62. Husserl, E. (1958). Ideas: General introduction to pure phenomenology. London: Allen & Unwin.Google Scholar
  63. Jarvenoja, H., & Jarvela, S. (2005). How students describe the sources of their emotional and motivational experiences during the learning process: A qualitative approach. Learning & Instruction, 15, 465–480.CrossRefGoogle Scholar
  64. Jones, A.C., & Gosling, S.D. 2008. Individual differences in approach and avoidance motivation in animals. In A.J. Elliot (Ed.), Handbook of approach and avoidance motivation (pp. 165–187). Boca Raton: CRC.Google Scholar
  65. Justice, L. M., Chow, S. M., Capellini, C., Flanigan, K., & Colton, S. (2003). Emergent literacy intervention for vulnerable preschoolers: Relative effects of two approaches. American Journal of Speech-Language Pathology, 12, 320–332.CrossRefGoogle Scholar
  66. Kagan, J. (2007). A trio of concerns. Perspectives on Psychological Science, 2, 361–376.CrossRefGoogle Scholar
  67. Karabenick, S. A., Woolley, M. E., Friedel, J. M., Ammon, B. V., Blazevski, J., Bonney, C. R., et al. (2007). Cognitive processing of self-report items in educational research: Do they think what we mean? Educational Psychologist, 42, 139–151.Google Scholar
  68. Keith, L. K., & Bracken, B. A. (1996). Self-concept instrumentation: A historical and evaluative review. In B. A. Bracken (Ed.), Handbook of self-concept (pp. 91–170). New York: Wiley.Google Scholar
  69. Kline, P. (2000). A psychometrics primer. London: Free Association Books.Google Scholar
  70. Klopfer, F. J., & Madden, T. M. (1980). The middlemost choice on attitude items: Ambivalence, neutrality, or uncertainty. Personality & Social Psychology Bulletin, 6, 97–101.CrossRefGoogle Scholar
  71. Krosnick, J. A., Judd, C. M., & Wittenbrink, B. (2005). The measurement of attitudes. In D. Albarracin, B. T. Johnson & M. P. Zanna (Eds.), The handbook of attitudes (pp. 21–76). Mahwah: Erlbaum.Google Scholar
  72. Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (1998). Emotion, motivation, and anxiety: Brain mechanisms and psychophysiology. Biological Psychiatry, 44, 1248–1263.CrossRefGoogle Scholar
  73. Larson, R., & Csikszentmihalyi, M. (1983). The experience sampling method. New Directions for Methodology of Social & Behavioral Science, 15, 41–56.Google Scholar
  74. Lau, K. (2004). Construction and initial validation of the Chinese Reading Motivation Questionnaire. Educational Psychology, 24, 845–865.CrossRefGoogle Scholar
  75. Lepper, M. R., Corpus, J. H., & Iyengar, S. S. (2005). Intrinsic and extrinsic motivational orientations in the classroom: Age differences and academic correlates. Journal of Educational Psychology, 97, 184–196.CrossRefGoogle Scholar
  76. Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 140, 1–55.Google Scholar
  77. Litman, J. A. (2005). Curiosity and the pleasures of learning: Wanting and liking new information. Cognition & Emotion, 19, 793–814.CrossRefGoogle Scholar
  78. Liu, W., Wong, A. F. L., Divaharan, S., Peer, J., Quek, C., & Williams, M. D. (2006). Students’ intrinsic motivation in project-based learning using an asynchronous discussion platform. Educational Research Journal, 21, 217–234.Google Scholar
  79. Lucas, R. E., & Baird, B. M. (2006). Global self-assessment. In M. Eid & E. Diener (Eds.), Handbook of multimethod measurement in psychology (pp. 29–42). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
  80. Marcoulides, G. A., Gottfried, A. E., Gottfried, A. W., & Oliver, P. H. (2008). A latent transition analysis of academic intrinsic motivation from childhood through adolescence. Educational Research & Evaluation, 14, 411–427.CrossRefGoogle Scholar
  81. Marsh, H. W. (1986). Negative item bias in rating scales for preadolescent children: A cognitive-developmental phenomenon. Developmental Psychology, 22, 37–49.CrossRefGoogle Scholar
  82. Marsh, H. W. (1990). The structure of academic self-concept: The Marsh/Shavelson model. Journal of Educational Psychology, 82, 623–636.CrossRefGoogle Scholar
  83. Marsh, H. W. (1992a). Content specificity of relations between academic achievement and academic self-concept. Journal of Educational Psychology, 84, 35–42.CrossRefGoogle Scholar
  84. Marsh, H. W. (1992b). Self description questionnaire—II manual. Sydney: University of Western Sydney.Google Scholar
  85. Marsh, H. W., Craven, R. G., & Debus, R. (1991). Self-concepts of young children 5 to 8 years of age: Measurement and multidimensional structure. Journal of Educational Psychology, 83, 377–392.CrossRefGoogle Scholar
  86. Marsh, H. W., Craven, R. G., Hinkley, J. W., & Debus, R. L. (2003). Evaluation of the Big-Two-Factor Theory of academic motivation orientations: An evaluation of jingle–jangle fallacies. Multivariate Behavioral Research, 38, 189–224.CrossRefGoogle Scholar
  87. McAuley, E., Duncan, T. E., & Tammen, V. V. (1989). Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: A confirmatory factor analysis. Research Quarterly for Exercise & Sport, 60, 48–58.Google Scholar
  88. Meece, J. L., Anderman, E. M., & Anderman, L. H. (2006). Classroom goal structure, student motivation, and academic achievement. Annual Review of Psychology, 57, 487–503.CrossRefGoogle Scholar
  89. Michell, J. (1990). An introduction to the logic of psychological measurement. Hillsdale: Erlbaum.Google Scholar
  90. Michell, J. (1999). Measurement in psychology. Cambridge: Cambridge University Press.Google Scholar
  91. Midgley, C., Maehr, M. L., Hruda, L. Z., Anderman, E., Anderman, L., Freeman, K. E., et al. (2000). Manual for the Patterns of Adaptive Learning Scales (PALS). Ann Arbor: University of Michigan.Google Scholar
  92. Mizuno, K., Tanaka, M., Ishii, A., Tanabe, H. C., Onoe, H., Sadato, N., et al. (2008). The neural basis of academic achievement motivation. NeuroImage, 42, 369–378.CrossRefGoogle Scholar
  93. Moustakas, C. (1994). Phenomenological research methods. Thousand Oaks: Sage.Google Scholar
  94. Murphy, P. K., & Alexander, P. A. (2000). A motivated exploration of motivation terminology. Contemporary Educational Psychology, 25, 3–53.CrossRefGoogle Scholar
  95. Nicholls, J. G. (1978). The development of the concepts of effort and ability, perception of academic attainment, and the understanding that difficult tasks require more ability. Child Development, 49, 800–814.CrossRefGoogle Scholar
  96. Nicholls, J. G. (1984). Achievement motivation: Conceptions of ability, subjective experience, task choice, and performance. Psychological Review, 91, 328–346.CrossRefGoogle Scholar
  97. Nurmi, J.-E., & Aunola, K. (2005). Task motivation during the first school years: A person-oriented approach to longitudinal data. Learning & Instruction, 15, 103–122.CrossRefGoogle Scholar
  98. Paris, S. G., Yambor, K. M., & Packard, B. W. (1998). Hands-on biology: A museum–school–university partnership for enhancing students’ interest and learning in science. Elementary School Journal, 98, 267–288.CrossRefGoogle Scholar
  99. Patrick, H., Ryan, A. M., Anderman, L. H., Middleton, M., Linnenbrink, L., Hruda, L. Z., et al. (1997). Manual for Observing Patterns of Adaptive Learning (OPAL): A protocol for classroom observations. Ann Arbor: University of Michigan.Google Scholar
  100. Peklaj, C., & Bucik, N. (2003). Vprasalnik bralne motivacije za mlajse ucence [Reading motivation questionnaire for young students]. In: S. Pečjak (Ed.), Bralna motivacija kot dejavnik učinkovitega učenja in izobraževanja. Raziskovalno poročilo [Reading motivation as a factor of effective learning and education. Research report]. Ljubljana: Znanstveni inštitut Filozofske fakultete.Google Scholar
  101. Perry, N. E., VandeKamp, K. O., Mercer, L. K., & Nordby, C. J. (2002). Investigating teacher-student interactions that foster self-regulated learning. Educational Psychologist, 37, 5–15.Google Scholar
  102. Piers, E. V. (1984). Piers–Harris children’s self-concept scale: Revised manual. Los Angeles: Western Psychological Services.Google Scholar
  103. Pierson, J. M. (1999). Transforming engagement in literacy instruction: The role of student genuine interest and ability. Annals of Dyslexia, 49, 307–329.CrossRefGoogle Scholar
  104. Pintrich, P. R. (2000). Multiple goals, multiple pathways: The role of goal orientation in learning and achievement. Journal of Educational Psychology, 92, 544–555.CrossRefGoogle Scholar
  105. Pintrich, P. R. (2003). A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of Educational Psychology, 95, 667–686.CrossRefGoogle Scholar
  106. 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.CrossRefGoogle Scholar
  107. Pintrich, P. R., & Schunk, D. H. (1996). Motivation in education: Theory, research and applications. Englewood Cliffs: Prentice Hall.Google Scholar
  108. 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, 801–813.CrossRefGoogle Scholar
  109. Rao, N., & Sachs, J. (1999). Confirmatory factor analysis of the Chinese version of the Motivated Strategies for Learning Questionnaire. Educational & Psychological Measurement, 59, 1016–1029.CrossRefGoogle Scholar
  110. Ratner, C. (1993). Contributions of sociohistorical psychology and phenomenology to research methodology. In H. J. Stam, L. P. Mos, W. Thorngate & B. Kaplan (Eds.), Recent trends in theoretical psychology (Vol. III, pp. 503–510). New York: Springer.Google Scholar
  111. Reeve, J., & Cole, S. G. (1987). Integration of affect and cognition in intrinsic motivation. Journal of Psychology, 121, 441–449.Google Scholar
  112. Reeve, J., & Nix, G. (1997). Expressing intrinsic motivation through acts of exploration and facial displays of interest. Motivation & Emotion, 21, 237–250.CrossRefGoogle Scholar
  113. Rheinberg, F., Vollmeyer, R., & Rollet, W. (2000). Motivation and action in self-regulated learning. In M. Boekaerts, P. R. Pintrich & M. Zeidner (Eds.), Handbook of self-regulation (pp. 503–529). New York: Academic.CrossRefGoogle Scholar
  114. Ross, S. R., Putnam, S. H., & Adams, K. M. (2006). Psychological disturbance, incomplete effort, and compensation-seeking status as predictors of neuropsychological test performance in head injury. Journal of Clinical & Experimental Neuropsychology, 28, 111–125.CrossRefGoogle Scholar
  115. Schiefele, U., & Csikszentmihalyi, M. (1995). Motivation and ability as factors in mathematics experience and achievement. Journal for Research in Mathematics Education, 26, 163–181.CrossRefGoogle Scholar
  116. Schneider, E. F., Lang, A., Shin, M., & Bradley, S. D. (2004). Death with a story: How story impacts emotional, motivational, and physiological responses to first-person shooter video games. Human Communication Research, 30, 361–375.Google Scholar
  117. Schultheiss, O. C., & Brunstein, J. C. (2005). An implicit motive perspective on competence. In A. J. Elliot & C. S. Dweck (Eds.), Handbook of competence and motivation. New York: Guilford.Google Scholar
  118. Schunk, D. H. (1991). Self-efficacy and academic motivation. Educational Psychologist, 26, 207–231.CrossRefGoogle Scholar
  119. Shedivy, S. L. (2004). Factors that lead some students to continue the study of foreign language past the usual 2 years in high school. System, 32, 103–119.CrossRefGoogle Scholar
  120. Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika, 74(1), 107–120.CrossRefGoogle Scholar
  121. Smith, R. M. (1996). A comparison of methods for determining dimensionality in Rasch measurement. Structural Equation Modeling, 3, 25–40.CrossRefGoogle Scholar
  122. Snow, R. E., Corno, L., & Jackson, D. N. (1996). Individual differences in affective and conative functions. In D. C. Berliner & R. C. Calfee (Eds.), Handbook of educational psychology (pp. 243–310). New York: Simon & Schuster Macmillan.Google Scholar
  123. Spinelli, E. (1989). The interpreted world: An introduction to phenomenological psychology. London: Sage.Google Scholar
  124. Swalander, L., & Taube, K. (2007). Influences of family based prerequisites, reading attitude & self-regulation on reading ability. Contemporary Educational Psychology, 32, 206–230.CrossRefGoogle Scholar
  125. Taylor, S. F., Welsh, R. C., Wager, T. D., Phan, K. L., Fitzgerald, K. D., & Gehring, W. J. (2004). A functional neuroimaging study of motivation and executive function. NeuroImage, 21, 1045–1054.CrossRefGoogle Scholar
  126. Turner, J. C., Midgley, C., Meyer, D. K., Gheen, M., Anderman, E. M., Kang, Y., et al. (2002). The classroom environment and students’ reports of avoidance strategies in mathematics: A multimethod study. Journal of Educational Psychology, 94, 88–106.CrossRefGoogle Scholar
  127. Urdan, T., & Mestas, M. (2006). The goals behind performance goals. Journal of Educational Psychology, 98, 354–365.CrossRefGoogle Scholar
  128. Veermans, M., & Tapola, A. (2004). Primary school students’ motivational profiles in longitudinal settings. Scandinavian Journal of Educational Research, 48, 373–395.CrossRefGoogle Scholar
  129. Velleman, P. F., & Wilkinson, L. (1993). Nominal, ordinal, interval, and ratio typologies are misleading. The American Statistician, 47, 65–72.CrossRefGoogle Scholar
  130. Vestewig, R. E., & Paradise, C. A. (1977). Multidimensional scaling of the TAT and the measurement of achievement motivation. Journal of Personality Assessment, 41, 595–603.CrossRefGoogle Scholar
  131. Washburn, D. A., & Putney, R. T. (2001). Attention and task difficulty: When is performance facilitated? Learning & Motivation, 32, 36–47.CrossRefGoogle Scholar
  132. Watkins, M. W., & Coffey, D. Y. (2004). Reading motivation: Multidimensional and indeterminate. Journal of Educational Psychology, 96, 110–118.CrossRefGoogle Scholar
  133. Waugh, R. F. (2006). Rasch measurement. In N. J. Salkind (Ed.), The encyclopaedia of measurement and statistics. Thousand Oaks: Sage.Google Scholar
  134. Waugh, R. F., & Chapman, E. S. (2005). An analysis of dimensionality using factor analysis (True Score Theory) and Rasch measurement: What is the difference? Which method is better? Journal of Applied Measurement, 6, 80–99.Google Scholar
  135. Weiner, B. (1992). Motivation. In M. C. Alkin (Ed.), Encyclopaedia of educational research (6th ed., pp. 860–865). New York: Macmillan.Google Scholar
  136. West, J. (2002). Motivation and access to help: The influence of status on one child’s motivation for literacy learning. Reading & Writing Quarterly, 18, 205–229.CrossRefGoogle Scholar
  137. Wicker, F. W., Brown, G., Wiehe, J. A., & Shim, W. (1990). Moods, goals, and measures of intrinsic motivation. Journal of Psychology, 124, 75–86.Google Scholar
  138. Wigfield, A. (1997). Reading motivation: A domain-specific approach to motivation. Educational Psychologist, 32, 59–68.CrossRefGoogle Scholar
  139. Wigfield, A., & Guthrie, J. T. (1995). Dimensions of children’s motivations for reading: An initial study. Reading Research Report, 34, 1–25.Google Scholar
  140. Wigfield, A., & Guthrie, J. T. (1997). Relations of children’s motivation for reading to the amount and breadth of their reading. Journal of Educational Psychology, 89, 420–432.CrossRefGoogle Scholar
  141. Wigfield, A., Eccles, J. S., Yoon, K. S., Harold, R. D., Arbreton, A. J. A., Freedman-Doan, C., et al. (1997). Change in children's competence beliefs and subjective task values across the elementary school years: A 3-year study. Journal of Educational Psychology, 89, 451–469.CrossRefGoogle Scholar
  142. Wilson, K. M., & Trainin, G. (2007). First grade students' motivation and achievement for reading, writing, and spelling. Reading Psychology, 28, 257–282.CrossRefGoogle Scholar
  143. Worrell, F. C. (1997). An exploratory factor analysis of Harter's Self-Perception Profile for Adolescents with academically talented students. Educational & Psychological Measurement, 57, 1016–1024.CrossRefGoogle Scholar
  144. Wright, B. D. (1996). Comparing Rasch measurement and factor analysis. Structural Equation Modeling, 3, 3–24.Google Scholar
  145. Yeung, A. B. (2004). The octagon model of volunteer motivation: Results of a phenomenological analysis. Voluntas, 15, 21–44.CrossRefGoogle Scholar
  146. Young, P. T. (1950). Motivation. In W. S. Monroe (Ed.), Encyclopaedia of educational research (revised edition) (pp. 755–761). New York: Macmillan.Google Scholar
  147. Zalla, T., Koechlin, E., Pietrini, P., Basso, G., Aquino, P., Sirigu, A., et al. (2000). Differential amygdala responses to winning and losing: A functional magnetic resonance imaging study in humans. European Journal of Neuroscience, 12, 1764–1770.CrossRefGoogle Scholar
  148. Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45, 166–183.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Psychology, University of Notre DameNotre DameUSA
  2. 2.Departments of Child and Youth Studies & PsychologyBrock UniversitySt. CatharinesCanada

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