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Multistudy Report

A Need for Cognition Scale for Children and Adolescents

Structural Analysis and Measurement Invariance

Published Online:November 07, 2016https://doi.org/10.1027/1015-5759/a000370

Abstract

Abstract. Need for Cognition (NFC) signifies “the tendency for an individual to engage in and enjoy thinking” (Cacioppo & Petty, 1982, p. 116). Up to now, no scale of sufficient psychometric quality existed to assess NFC in children. Using data from three independent, diverse cross-sectional samples from Germany, Luxembourg, and Finland, we examined the psychometric properties of a new NFC scale intended to fill in this gap. In all samples, across grade levels ranging from 1 to 9, confirmatory factor analysis confirmed the hypothesized nested factor structure based on Mussel’s (2013) Intellect model, with one general factor Think influencing all items and two specific factors Seek and Conquer each influencing a subset of items. At least partial scalar measurement invariance with regard to grade level and sex could be demonstrated. The scale exhibited good psychometric properties and showed convergent and discriminant validity with an established NFC scale and other noncognitive traits such as academic self-concept and interests. It incrementally predicted mostly statistically significant but relatively small portions of academic achievement variance over and above academic self-concept and interest. Implications for research on the development of NFC and its role as an investment trait in intellectual development are discussed.

References

  • Ackerman, P. L. (1996). A theory of adult intellectual development: Process, personality, interests, and knowledge. Intelligence, 22, 227–257. First citation in articleCrossref, Google Scholar

  • Ackerman, P. L. (2014). Adolescent and adult intellectual development. Current Directions in Psychological Science, 23, 246–251. doi: 10.1177/0963721414534960 First citation in articleCrossref, Google Scholar

  • Asparouhov, T. & Muthén, B. (2010). Weighted least squares estimation with missing data. MplusTechnical Appendix, Retrieved from http://www.statmodel.com/download/GstrucMissingRevision.pdf First citation in articleGoogle Scholar

  • Baudson, T. G. & Preckel, F. (2011). Validierung einer modifizierten Kurzfassung des Fragebogens zur Erfassung emotionaler und sozialer Schulerfahrungen für die Klassen 1 bis 3. [Validation of a modified short form of the Questionnaire for the Assessment of emotional and Social School Experiences for grades 1 to 3.] Presented at the 11. Arbeitstagung der Fachgruppe Differentielle Psychologie, Persönlichkeitspsychologie und Psychologische Diagnostik (September 26 to 28, 2011), Saarbrücken First citation in articleGoogle Scholar

  • Baudson, T. G. & Preckel, F. (2013). Development and validation of the German Test for (Highly) Intelligent Kids – T(H)INK. European Journal of Psychological Assessment, 29, 171–181. doi: 10.1027/1015-5759/a000142 First citation in articleLink, Google Scholar

  • Bless, H., Waenke, M., Bohner, G., Fellhauer, R. & Schwarz, N. (1994). Need for Cognition: Eine Skala zur Erfassung von Engagement und Freude bei Denkaufgaben. [Need for Coginition: A scale for the assessment of engagement and enjoyment during cognitive tasks] Zeitschrift für Sozialpsychologie, 25, 147–154. First citation in articleGoogle Scholar

  • Bors, D. A., Vigneau, F. & Lalande, F. (2006). Measuring the need for cognition: Item polarity, dimensionality, and the relation with ability. Personality and Individual Differences, 40, 819–828. doi: 10.1016/j.paid.2005.09.007 First citation in articleCrossref, Google Scholar

  • Brouwer, D., Meijer, R. R. & Zevalkink, J. (2013). On the factor structure of the Beck Depression Inventory–II: G is the key. Psychological Assessment, 25, 136–145. doi: 10.1037/a0029228 First citation in articleCrossref, Google Scholar

  • Brunner, M., Keller, U., Dierendonck, C., Reichert, M., Ugen, S., Fischbach, A. & Martin, R. (2010). The structure of academic self-concepts revisited: The nested Marsh/Shavelson model. Journal of Educational Psychology, 102, 964–981. doi: 10.1037/a0019644 First citation in articleCrossref, Google Scholar

  • Brunner, M., Nagy, G. & Wilhelm, O. (2012). A tutorial on hierarchically structured constructs: Hierarchically structured constructs. Journal of Personality, 80, 796–846. doi: 10.1111/j.1467-6494.2011.00749.x First citation in articleCrossref, Google Scholar

  • Cacioppo, J. T. & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42, 116–131. First citation in articleCrossref, Google Scholar

  • Cacioppo, J. T., Petty, R. E., Feinstein, J. A. & Jarvis, W. B. G. (1996). Dispositional differences in cognitive motivation: The life and times of individuals varying in need for cognition. Psychological Bulletin, 119, 197–253. First citation in articleCrossref, Google Scholar

  • Cacioppo, J. T., Petty, R. E. & Kao, C. F. (1984). The efficient assessment of need for cognition. Journal of Personality Assessment, 48, 306–307. First citation in articleCrossref, Google Scholar

  • Cattell, R. B. (1987). Intelligence: Its structure, growth and action. New York, NY: Elsevier. First citation in articleGoogle Scholar

  • Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14, 464–504. doi: 10.1080/10705510701301834 First citation in articleCrossref, Google Scholar

  • Cheung, G. W. & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233–255. First citation in articleCrossref, Google Scholar

  • Cohen, P., Cohen, J., Aiken, L. S. & West, S. G. (1999). The Problem of units and the circumstance for POMP. Multivariate Behavioral Research, 34, 315–346. doi: 10.1207/S15327906MBR3403_2 First citation in articleCrossref, Google Scholar

  • Dickhäuser, O. & Reinhard, M.-A. (2010). How students build their performance expectancies: The importance of need for cognition. European Journal of Psychology of Education, 25, 399–409. doi: 10.1007/s10212-010-0027-4 First citation in articleCrossref, Google Scholar

  • Elosua, P. E. (2011). Assessing measurement equivalence in ordered-categorical data. Psicológica: Revista de Metodología Y Psicología Experimental, 32, 403–421. First citation in articleGoogle Scholar

  • 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 First citation in articleCrossref, Google Scholar

  • 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, 82–96. doi: 10.1177/0146167209351886 First citation in articleCrossref, Google Scholar

  • 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 First citation in articleLink, Google Scholar

  • Ginet, A. & Py, J. (2000). Le besoin de cognition: une échelle française pour enfants et ses conséquences au plan sociocognitif. [Need for Cognition: A French scale for children and its socio-cognitive effects] L’année psychologique, 100, 585–627. doi: 10.3406/psy.2000.28665 First citation in articleCrossref, Google Scholar

  • Goff, M. & Ackerman, P. L. (1992). Personality-intelligence relations: assessment of typical intellectual engagement. Journal of Educational Psychology, 84, 537–552. First citation in articleCrossref, Google Scholar

  • Gottfried, A. E. & Gottfried, A. W. (2004). Toward the development of a conceptualization of gifted motivation. Gifted Child Quarterly, 48, 121–132. First citation in articleCrossref, Google Scholar

  • 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, 22–25. doi: 10.1016/j.jrp.2012.11.001 First citation in articleCrossref, Google Scholar

  • Kinnunen, S. P. & Windmann, S. (2013). Dual-processing altruism. Frontiers in Psychology, doi: 10.3389/fpsyg.2013.00193. http://blog.apastyle.org/apastyle/2015/05/how-to-cite-an-article-with-an-article-number-instead-of-a-page-range.html First citation in articleCrossref, Google Scholar

  • Kokis, J. V. (2002). Individual differences in child’s reasoning. (Doctoral dissertation, University of Toronto). Retrieved from https://tspace.library.utoronto.ca/bitstream/1807/15218/1/NQ63670.pdf First citation in articleGoogle Scholar

  • Krkovic, K., Greiff, S., Kupiainen, S., Vainikainen, M.-P. & Hautamäki, J. (2014). Teacher evaluation of student ability: What roles do teacher gender, student gender, and their interaction play? Educational Research, 56, 244–257. doi: 10.1080/00131881.2014.898909 First citation in articleCrossref, Google Scholar

  • Little, T. D., Lopez, D. F., Oettingen, G. & Baltes, P. B. (2001). A comparative-longitudinal study of action-control beliefs and school performance: On the role of context. International Journal of Behavioral Development, 25, 237–245. doi: 10.1080/01650250042000258 First citation in articleCrossref, Google Scholar

  • Lubke, G. H. & Muthén, B. O. (2004). Applying multigroup confirmatory factor models for continuous outcomes to Likert scale data complicates meaningful group comparisons. Structural Equation Modeling, 11, 514–534. doi: 10.1207/s15328007sem1104_2 First citation in articleCrossref, Google Scholar

  • Marsh, H. W. & O’Neill, R. (1984). Self Description Questionnaire III: The construct validity of multidimensional self-concept ratings by late adolescents. Journal of Educational Measurement, 21, 153–174. First citation in articleCrossref, Google Scholar

  • Martin R.Ugen S.Fischbach A. (Eds.). (2015). Épreuves Standardisées: Bildungsmonitoring für Luxemburg. Nationaler Bericht 2011 bis 2013 [Épreuves Standardisées: School monitoring for Luxembourg. National report 2011 to 2013]. Esch, Luxembourg: University of Luxembourg, LUCET. Retrieved from http://orbilu.uni.lu/handle/10993/21046 First citation in articleGoogle Scholar

  • Meade, A. W., Johnson, E. C. & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93, 568–592. doi: 10.1037/0021-9010.93.3.568 First citation in articleCrossref, Google Scholar

  • Meier, E., Vogl, K. & Preckel, F. (2014). Motivational characteristics of students in gifted classes: The pivotal role of need for cognition. Learning and Individual Differences, 33, 39–46. doi: 10.1016/j.lindif.2014.04.006 First citation in articleCrossref, Google Scholar

  • Ministère de l’Éducation Nationale, de la Formation Professionnelle et des Sports (MENFRS) (2001). PISA 2000. Kompetenzen von Schülern im internationalen Vergleich: Nationaler Bericht Luxemburg [PISA 2000. Students’ competencies in international comparison: National report for Luxembourg]. Retrieved from http://www.script.men.lu/documentation/pdf/publi/pisa/pisa-nat.pdf First citation in articleGoogle Scholar

  • Mussel, P. (2010). Epistemic curiosity and related constructs: Lacking evidence of discriminant validity. Personality and Individual Differences, 49, 506–510. doi: 10.1016/j.paid.2010.05.014 First citation in articleCrossref, Google Scholar

  • Mussel, P. (2013). Intellect: A theoretical framework for personality traits related to intellectual achievements. Journal of Personality and Social Psychology, 104, 885–906. doi: 10.1037/a0031918 First citation in articleCrossref, Google Scholar

  • Muthén, L. K. & Muthén, B. O. (2012). Mplus User’s Guide (7th ed.). Los Angeles, CA: Muthén & Muthén. Retrieved from http://www.statmodel.com/download/usersguide/Mplus%20user%20guide%20Ver_7_r3_web.pdf First citation in articleGoogle Scholar

  • Petty, R. E., Rucker, D. D., Bizer, G. Y. & Cacioppo, J. T. (2004). The elaboration likelihood model of persuasion. In J. S. SeiterR. H. GassEds., Perspectives on persuasion, social influence, and compliance gaining (pp. 65–89). Boston, MA: Allyn and Bacon. First citation in articleGoogle Scholar

  • 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 First citation in articleLink, Google Scholar

  • Preckel, F. & Strobel, A. (2011). Grundschul-NFC: Eine Skala zur Erfassung von Need for Cognition bei Grundschulkindern [Elementary school NFC: A scale for the assessment of need for coginition in elementary school children]. Unpublished research instrument. Trier, Germany: University of Trier. First citation in articleGoogle Scholar

  • Rauer, W. & Schuck, K.-D. (2003). Fragebogen zur Erfassung emotionaler und sozialer Schulerfahrungen von Grundschulkindern dritter und vierter Klassen–FEESS 3–4 [Questionnaire for the Assessment of emotional and social school experiences of third and fourth grade primary school children]. Göttingen, Germany: Hogrefe. First citation in articleGoogle Scholar

  • Rauer, W. & Schuck, K.-D. (2004). Fragebogen zur Erfassung emotionaler und sozialer Schulerfahrungen von Grundschulkindern erster und zweiter Klassen–FEESS 1–2 [Questionnaire for the Assessment of emotional and social school experiences of first and second grade primary school children]. Göttingen, Germany: Hogrefe. First citation in articleGoogle Scholar

  • Reise, S. P., Moore, T. M. & Haviland, M. G. (2010). Bifactor models and rotations: Exploring the extent to which multidimensional data yield univocal scale scores. Journal of Personality Assessment, 92, 544–559. doi: 10.1080/00223891.2010.496477 First citation in articleCrossref, Google Scholar

  • Reise, S. P., Scheines, R., Widaman, K. F. & Haviland, M. G. (2013). Multidimensionality and structural coefficient bias in structural equation modeling a bifactor perspective. Educational and Psychological Measurement, 73, 5–26. doi: 10.1177/0013164412449831 First citation in articleCrossref, Google Scholar

  • Rhemtulla, M., Brosseau-Liard, P. É. & Savalei, V. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17, 354–373. doi: 10.1037/a0029315 First citation in articleCrossref, Google Scholar

  • Richardson, M., Abraham, C. & Bond, R. (2012). Psychological correlates of university students’ academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138, 353–387. doi: 10.1037/a0026838 First citation in articleCrossref, Google Scholar

  • Sass, D. A. (2011). Testing measurement invariance and comparing latent factor means within a confirmatory factor analysis framework. Journal of Psychoeducational Assessment, 29, 347–363. doi: 10.1177/0734282911406661 First citation in articleCrossref, Google Scholar

  • Sass, D. A., Schmitt, T. A. & Marsh, H. W. (2014). Evaluating model fit with ordered categorical data within a measurement invariance framework: A comparison of estimators. Structural Equation Modeling, 21, 167–180. doi: 10.1080/10705511.2014.882658 First citation in articleCrossref, Google Scholar

  • Schermelleh-Engel, K., Moosbrugger, H. & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8, 23–74. First citation in articleGoogle Scholar

  • Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika, 74, 107–120. First citation in articleCrossref, Google Scholar

  • Smith, B. N., Kerr, N. A., Markus, M. J. & Stasson, M. F. (2001). Individual differences in social loafing: Need for cognition as a motivator in collective performance. Group Dynamics: Theory, Research, & Practice, 5, 150–158. First citation in articleCrossref, Google Scholar

  • Tolentino, E., Curry, L. & Leak, G. (1990). Further validation of the short form of the Need for Cognition Scale. Psychological Reports, 66, 321–322. doi: 10.2466/PR0.66.1.321-322 First citation in articleCrossref, Google Scholar

  • Toplak, M. E., West, R. F. & Stanovich, K. E. (2014). Rational thinking and cognitive sophistication: Development, cognitive abilities, and thinking dispositions. Developmental Psychology, 50, 1037–1048. doi: 10.1037/a0034910 First citation in articleCrossref, Google Scholar

  • Vainikainen, M.-P. (2014). Finnish primary school pupils’ performance in learning to learn assessments: A longitudinal perspective on educational equity (Vol. 360). Helsinki, Finland: Picaset. First citation in articleGoogle Scholar

  • Volman, I., Noordzij, M. L. & Toni, I. (2012). Sources of variability in human communicative skills. Frontiers in Human Neuroscience. doi: 10.3389/fnhum.2012.00310. http://blog.apastyle.org/apastyle/2015/05/how-to-cite-an-article-with-an-article-number-instead-of-a-page-range.html First citation in articleCrossref, Google Scholar

  • von Stumm, S. & Ackerman, P. L. (2013). Investment and intellect: A review and meta-analysis. Psychological Bulletin, 139, 841–869. doi: 10.1037/a0030746 First citation in articleCrossref, Google Scholar

  • Woo, S. E., Harms, P. D. & Kuncel, N. R. (2007). Integrating personality and intelligence: Typical intellectual engagement and need for cognition. Personality and Individual Differences, 43, 1635–1639. doi: 10.1016/j.paid.2007.04.022 First citation in articleCrossref, Google Scholar

  • Wüstenberg, S., Stadler, M., Hautamäki, J. & Greiff, S. (2014). The Role of strategy knowledge for the application of strategies in complex problem solving tasks. Technology, Knowledge and Learning, 19, 127–146. doi: 10.1007/s10758-014-9222-8 First citation in articleCrossref, Google Scholar

  • Yu, C.-Y. (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes. Los Angeles, CA: University of California. Retrieved from http://statmodel2.com/download/Yudissertation.pdf First citation in articleGoogle Scholar

  • Ziegler, M., Danay, E., Heene, M., Asendorpf, J. & Bühner, 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 First citation in articleCrossref, Google Scholar