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Educational Psychology
An International Journal of Experimental Educational Psychology
Volume 39, 2019 - Issue 2
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Articles

The predictors of academic interest: fluid intelligence, openness, and their interaction

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Pages 271-289 | Received 10 Oct 2017, Accepted 17 Aug 2018, Published online: 15 Nov 2018

References

  • Ackerman, P. L. (1996). A theory of adult intellectual development: Process, personality, interests, and knowledge. Intelligence, 22, 227–257. doi:10.1016/S0160-2896(96)90016-1
  • Ackerman, P. L., & Heggestad, E. D. (1997). Intelligence, personality, and interests: Evidence for overlapping traits. Psychological Bulletin, 121, 219–245. doi:10.1037/0033-2909.121.2.219
  • Ashton, M. C., Lee, K., Vernon, P. A., & Jang, K. L. (2000). Fluid intelligence, crystallized intelligence, and the openness/intellect factor. Journal of Research in Personality, 34, 198–207. doi:10.1006/jrpe.1999.2276
  • Au, J., Sheehan, E., Tsai, N., Duncan, G. J., Buschkuehl, M., & Jaeggi, S. M. (2015). Improving fluid intelligence with training on working memory: A meta-analysis. Psychonomic Bulletin and Review, 22, 366–377. doi:10.3758/s13423-014-0699-x
  • Aunola, K., Leskinen, E., & Nurmi, J. E. (2006). Developmental dynamics between mathematical performance, task motivation, and teachers' goals during the transition to primary school. British Journal of Educational Psychology, 76(1), 21–40. doi:10.1348/000709905X51608
  • Barrick, M.R. and Mount, M.K. (1991). The big five personality dimensions and job performance: A meta-analysis. Personnel Psychology, 44(1), 1–26. doi:10.1111/j.1744-6570.1991.tb00688.x
  • Barrick, M. R., Mount, M. K., & Gupta, R. (2003). Meta-analysis of the relationship between the five-factor model of personality and Holland's occupational types. Personnel Psychology, 56(1), 45–74. doi:10.1111/j.1744-6570.2003.tb00143.x
  • Barton, K., Modgil, S., & Cattell, R. B. (1973). Personality variables as predictors of attitudes toward science and religion. Psychological Reports, 32(1), 223–228. doi:10.2466/pr0.1973.32.1.223
  • Bauer, D. J., & Curran, P. J. (2005). Probing interactions in fixed and multilevel regression: Inferential and graphical techniques. Multivariate Behavioral Research, 40, 373–400. doi:10.1207/s15327906mbr4003_5
  • Baumert, J., Schnabel, K., & Lehrke, M. (1998). Learning math in school: Does interest really matter? In L. Hoffmann, A. Krapp, K. A. Renninger, & J. Baumert (Eds.), Interest and learning (pp. 327–336). Kiel: Institute for Science Education.
  • Beauducel, A., Brocke, B., & Liepmann, D. (2001). Perspectives on fluid and crystallized intelligence: Facets for verbal, numerical, and figural intelligence. Personality and Individual Differences, 30, 977–994. doi:10.1016/S0191-8869(00)00087-8
  • Bergin, D. A. (1999). Influences on classroom interest. Educational Psychologist, 34, 87–98. doi:10.1207/s15326985ep3402_2
  • Blair, C. (2006). How similar are fluid cognition and general intelligence? A developmental neuroscience perspective on fluid cognition as an aspect of human cognitive ability. Behavioral and Brain Sciences, 29, 109–125. doi:10.1017/S0140525X06009034
  • Bleidorn, W. (2012). Hitting the road to adulthood: Short-term personality development during a major life transition. Personality and Social Psychology Bulletin, 38, 1594–1608. doi:10.1177/0146167212456707
  • Cacioppo, J. T., Petty, R. E., & Kao, C. F. (1984). The efficient assessment of need for cognition. Journal of Personality Assessment, 48, 306–307. doi:10.1207/s15327752jpa4803_13
  • Carpenter, P.A., Just, M.A., & Shell, P. (1990). What one intelligent test measures: A theoretical account of the processing in the Raven’s Progressive Matrices Test. Psychological Review, 97, 404–431. doi:10.1037/0033-295X.97.3.404
  • Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the social sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
  • Coie, J. D. (1974). An evaluation of the cross-situational stability of children's curiosity. Journal of Personality, 42(1), 93–116. doi:10.1111/j.1467-6494.1974.tb00559.x
  • Colom, R., & Garcia-Lopez, O. (2002). Sex differences in fluid intelligence among high school graduates. Personality and Individual Differences, 32, 445–451. doi:10.1016/S0191-8869(01)00040-X
  • Costa, P. T., & McCrae, R. R. (1992b). Revised NEO personality inventory (NEO PI-R) and five-factor inventory (NEO-FFI) professional manual. Odessa, FL: Psychological Assessment Resources.
  • Deci, E. L. (1992). The relation of interest to the motivation of behavior: A self-determination theory perspective. In K.A. Renninger, S. Hidi, & A. Krapp (Eds.), The role of interest in learning and development (pp. 43–70). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
  • Denissen, J. J. A., & Penke, L. (2008). Motivational individual reaction norms underlying the Five-Factor model of personality: First steps towards a theory-based conceptual framework. Journal of Research in Personality, 42, 1285–1302. doi:10.1016/j.jrp.2008.04.002
  • Denissen, J. J. A., Zarrett, N. R., & Eccles, J. S. (2007). I like to do it, I’m able, and I know I am: Longitudinal couplings between domain-specific achievement, self-concept, and interest. Child Development, 78, 430–447. doi:10.1111/j.1467-8624.2007.01007.x
  • DeYoung, C. G. (2011). Intelligence and personality. In R. J. Sternberg & S. B. Kaufman (Eds.), The Cambridge handbook of intelligence (pp. 711–737). New York: Cambridge University Press.
  • DeYoung, C. G. (2014). Openness/intellect: A dimension of personality reflecting cognitive exploration. In M. L. Cooper and R. J. Larsen (Eds.), APA handbook of personality and social psychology: Personality processes and individual differences (pp. 369–399). Washington, DC: American Psychological Association.
  • Eccles, J. S. (1983). Expectancies, values, and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement motives (pp. 75–146). San Francisco: Freeman.
  • Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109–132. doi:10.1146/annurev.psych.53.100901.135153
  • Eccles, J. S., Wigfield, A., & Schiefele, U. (1998). Motivation to succeed. In W. Damon & N. Eisenberg (Eds.), Handbook of Child Development (5th ed., Vol. 3, pp. 1017–1095). New York: Wiley.
  • Fayn, K., Tiliopoulos, N., & MacCann, C. (2015). Interest in truth versus beauty: Intellect and Openness reflect different pathways towards interest. Personality and Individual Differences, 81, 47–52. doi:10.1016/j.paid.2014.12.031
  • Feist, G. J. (1998). A meta-analysis of personality in scientific and artistic creativity. Personality and Social Psychology Review, 2, 290–309. doi:10.1207/s15327957pspr0204_5
  • Feist, G. J. (2012). Predicting interest in and attitudes toward science from personality and need for cognition. Personality and Individual Differences, 52, 771–775. doi:10.1016/j.paid.2012.01.005
  • Fleischhauer, M., Enge, S., Brocke, B., Ullrich, J., Strobel, A., & Strobel, A. (2010). Same or different? Clarifying the relationship of need for cognition to personality and intelligence. Personality and Social Psychology Bulletin, 36(1), 82–96. doi:10.1177/0146167209351886
  • Furnham, A., & Thorne, J. D. (2013). Need for cognition: Its dimensionality and personality and intelligence correlates. Journal of Individual Differences, 34, 230–240. doi:10.1027/1614-0001/a000119
  • Harackiewicz, J. M., Barron, K. E., Tauer, J. M., Carter, S. M., & Elliot, A. J. (2000). Short-term and long-term consequences of achievement goals: Predicting interest and performance over time. Journal of Educational Psychology, 92, 316–330. doi:10.1037//0022-0663.92.2.316
  • Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist, 41, 111–127. doi:10.1207/s15326985ep4102_4
  • Hill, B. D., Foster, J. D., Elliott, E. M., Shelton, J. T., McCain, J., & Gouvier, W. D. (2013). Need for cognition is related to higher general intelligence, fluid intelligence, and crystallized intelligence, but not working memory. Journal of Research in Personality, 47(1), 22–25. doi:10.1016/j.jrp.2012.11.001
  • 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
  • John, O. P., & Srivastava, S. (1999). The big five trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality theory and research (pp. 102–138). New York: Guilford Press.
  • Klein, A., & Moosbrugger, H. (2000). Maximum likelihood estimation of latent interaction effects with the LMS method. Psychometrika, 65, 457–474. doi:10.1007/BF02296338
  • Köller, O., Baumert, J., & Schnabel, K. (2001). Does interest matter? The relationship between academic interest and achievement in mathematics. Journal for Research in Mathematics Education, 32, 448–470. doi:10.2307/749801
  • Kuncel, N. R., Hezlett, S. A., & Ones, D. S. (2004). Academic performance, career potential, creativity, and job performance: Can one construct predict them all? Journal of Personality and Social Psychology, 86(1), 148–161. doi:10.1037/0022-3514.86.1.148
  • Lu, L., Weber, H. S., Spinath, F. M., & Shi, J. (2011). Predicting school achievement from cognitive and non-cognitive variables in a Chinese sample of elementary school children. Intelligence, 39, 130–140. doi:10.1016/j.intell.2011.02.002
  • Marsh, H. W., Trautwein, U., Ludtke, O., Koller, O., & Baumert, J. (2005). Academic self-concept, interest, grades, and standardized test scores: Reciprocal effects models of causal ordering. Child Development, 76, 397–416. doi:10.1111/j.1467-8624.2005.00853.x
  • Maw, W. H. (1971). Differences in the personalities of children differing in curiosity. In H. I. Day, D. E. Berlyne, & D. E. Hunt (Eds.), Intrinsic motivation: A new direction in education (pp. 91–98). Toronto: Holt, Rinehart, & Winston.
  • McCrae, R. R. (1994). Openness to Experience: Expanding the boundaries of Factor V. European Journal of Personality, 8, 251–272. doi:10.1002/per.2410080404
  • McCrae, R. R., & Costa, P. T. (1997). Conceptions and correlates of openness to experience. In R. Hogan, J. A. Johnson, & S. R. Briggs (Eds.), Handbook of personality psychology (pp. 825–847). San Diego, CA: Academic Press.
  • Müller, F. H., & Louw, J. (2004). Learning environment, motivation and interest: Perspectives on self-determination theory. South African Journal of Psychology, 34, 169–190. doi:10.1177/008124630403400201
  • Muthén, L. K., & Muthén, B. O. (1998–2017). Mplus User’s Guide (8th Ed.). Los Angeles, CA: Muthén & Muthén.
  • Nagy, G., Trautwein, U., Baumert, J., Köller, O., & Garrett, J. (2006). Gender and course selection in upper secondary education: Effects of academic self-concept and intrinsic value. Educational Research and Evaluation, 12, 323–345. doi:10.1080/13803610600765687
  • Peaker, G. F. (2011). Is intelligence normally distributed? British Journal of Mathematical and Statistical Psychology, 17(1), 89–90. doi:10.1111/j.2044-8317.1964.tb00249.x
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 879–903. doi:10.1037/0021-9101.88.5.879
  • Poropat, A. E. (2009). A meta-analysis of the five-factor model of personality and academic performance. Psychological Bulletin, 135, 322–338. doi:10.1037/a0014996
  • Preckel, F. (2014). Assessing need for cognition in early adolescence: Validation of a German adaption of the Cacioppo/Petty Scale. European Journal of Psychological Assessment, 30, 65–72. doi:10.1027/1015-5759/a000170
  • Core Team, R. (2012). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
  • Raven, J. (1981). Manual for Raven’s progressive matrices and Mill Hill Vocabulary Scales. Oxford, UK: Oxford Psychologists Press.
  • Renninger, K. A., Ewen, L., & Lasher, A. K. (2002). Individual interest as context in expository text and mathematical word problems. Learning and Instruction, 12, 467–491. doi:10.1016/S0959-4752(01)00012-3
  • Renninger, K. A., & Hidi, S. (2002). Student interest and achievement: Developmental issues raised by a case study. In A. Wigfield, & J. S. Eccles (Eds.), The development of achievement motivation (pp. 173–195). New York: Academic Press.
  • Renninger, K. A., & Hidi, S. (2011). Revisiting the conceptualization, measurement, and generation of interest. Educational Psychologist, 46, 168–184. doi:10.1080/00461520.2011.587723
  • Renninger, K. A, Hidi, S., & Krapp, A. (1992). The role of interest in learning and development (pp. 1–26). Hillsdale, NJ: Erlbaum.
  • Revelle, W. (2015). An overview of the R psych package. Evanston: Northwestern University.
  • Revelle, W., & Zinbarg, R. E. (2009). Coefficients alpha, beta, omega, and the glb: Comments on Sijtsma. Psychometrika, 74(1), 145–154. doi:10.1007/s11336-008-9102-z
  • Roberts, B. W., & Jackson, J. J. (2008). Sociogenomic personality psychology. Journal of Personality, 76, 1523–1544. doi:10.1111/j.1467-6494.2008.00530.x
  • Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147–177. doi:10.1037/1082-989X.7.2.147
  • Schiefele, U. (1996). Topic interest, text representation, and quality of experience. Contemporary Educational Psychology, 21(1), 3–18. doi:10.1006/ceps.1996.0002
  • Schiefele, U., Krapp, A., & Winteler, A. (1992). Interest as a predictor of academic achievement: A meta-analysis of research. In K. A. Renninger, S. Hidi, & A. Krapp (Eds.), The role of interest in learning and development (pp. 183–212). Hillsdale, NJ: Lawrence Erlbaum Associates.
  • Silvia, P. J. (2008a). Another look at creativity and intelligence: Exploring higher-order models and probable confounds. Personality and Individual Differences, 44, 1012–1021. doi:10.1016/j.paid.2007.10.027
  • Silvia, P. J. (2008b). Appraisal components and emotion traits: Examining the appraisal basis of trait curiosity. Cognition and Emotion, 22(1), 94–113. doi:10.1080/02699930701298481
  • Silvia, P. J., Fayn, K., Nusbaum, E. C., & Beaty, R. E. (2015). Openness to experience and awe in response to nature and music: Personality and profound aesthetic experiences. Psychology of Aesthetics Creativity and the Arts, 9, 376–384. doi:10.1037/aca0000028
  • Silvia, P. J., Henson, R. A., & Templin, J. L. (2009). Are the sources of interest the same for everyone? Using multilevel mixture models to explore individual differences in appraisal structures. Cognition and Emotion, 23, 1389–1406. doi:10.1080/02699930902850528
  • Silvia, P. J., & Sanders, C. E. (2010). Why are smart people curious? Fluid intelligence, openness to experience, and interest. Learning and Individual Differences, 20, 242–245. doi:10.1016/j.lindif.2010.01.006
  • Singh, K., Granville, M., & Dika, S. (2002). Mathematics and science achievement: Effects of motivation, interest, and academic engagement. Journal of Educational Research, 95, 323–332. doi:10.1080/00220670209596607
  • Spinath, B., Freudenthaler, H. H., & Neubauer, A. C. (2010). Domain-specific school achievement in boys and girls as predicted by intelligence, personality and motivation. Personality and Individual Differences, 48, 481–486. doi:10.1016/j.paid.2009.11.028
  • Spinath, B., Spinath, F. M., Harlaar, N., & Plomin, R. (2006). Predicting school achievement from general cognitive ability, self-perceived ability, and intrinsic value. Intelligence, 34, 363–374. doi:10.1016/j.intell.2005.11.004
  • Wigfield, A., & Karpathian, M. (1991). Who am I and what can I do? Children’s self-concepts and motivation in achievement situations. Educational Psychologist, 26, 233–261. doi:10.1207/s15326985ep2603&4_3
  • Yao, R. S., & Liang, L. Y. (2010). Analysis of the application of simplified NEO-FFI to undergraduates. Chinese Journal of Clinical Psychology, 18, 457–459.
  • Zhang, J., & Ziegler, M. (2015). Interaction effects between openness and fluid intelligence predicting scholastic performance. Journal of Intelligence, 3, 91–110. doi:10.3390/jintelligence3030091
  • Zhang, J., & Ziegler, M. (2016). How do the big five influence scholastic performance? A big five-narrow traits model or a double mediation model. Learning and Individual Differences, 50, 93–102. doi:10.1016/j.lindif.2016.07.011
  • Ziegler, M., Danay, E., Heene, M., Asendorpf, J., & Buehner, M. (2012). Openness, fluid intelligence, and crystallized intelligence: Toward an integrative model. Journal of Research in Personality, 46, 173–183. doi:10.1016/j.jrp.2012.01.002
  • Ziegler, M., Danay, E., Schoelmerich, F., & Buehner, M. (2010). Predicting academic success with the Big 5 rated from different points of view: Self-rated, other rated and faked. European Journal of Personality, 24, 341–355. doi:10.1002/per.753
  • Ziegler, M., Knogler, M., & Buehner, M. (2009). Conscientiousness, achievement striving, and intelligence as performance predictors in a sample of German psychology students: Always a linear relationship? Learning and Individual Differences, 19, 288–292. doi:10.1016/j.lindif.2009.02.001

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