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Research Article

Latent Profile Analysis of Working Memory: Relations with Creativity and Academic Achievement

Received 09 Feb 2021, Published online: 07 Mar 2023

References

  • Ackerman, P. L., Beier, M. E., & Boyle, M. O. (2005). Working memory and intelligence: The same or different constructs? Psychological Bulletin, 131(1), 30–60. doi:10.1037/0033-2909.131.1.30
  • Allen, P., & Bennett, K. (2010). PASW Statistics by SPSS: A practical guide. Cengage.
  • Alloway, T. P., & Alloway, R. G. (2010). Investigating the predictive roles of working memory and IQ in academic attainment. Journal of Experimental Child Psychology, 106(1), 20–29. doi:10.1016/j.jecp.2009.11.003
  • Alloway, T. P., Gathercole, S. E., & Pickering, S. J. (2006). Verbal and visuospatial short term and working memory in children: Are they separable? Child Development, 77(6), 1698–1716. doi:10.1111/j.1467-8624.2006.00968.x
  • Anderson, D., & Burnham, K. (2004). Model selection and multi-model inference. Springer.
  • Ansburg, P. I., & Hill, K. (2003). Creative and analytic thinkers differ in their use of attentional resources. Personality and Individual Differences, 34(7), 1141–1152. doi:10.1016/S0191-8869(02)00104-6
  • Asparouhov, T., & Muthén, B. (2014). Auxiliary variables in mixture modelling: 3-step approaches using Mplus. Structural Equation Modelling: A Multidisciplinary Journal, 21(3), 329–341. doi:10.1080/10705511.2014.915181
  • Baddeley, A. (1992). Working memory. Science, 255(5044), 556–559. doi:10.1126/science.1736359
  • Baddeley, A. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4(11), 417–423. doi:10.1016/S1364-6613(00)01538-2
  • Baddeley, A. (2003). Working memory: Looking back and looking forward. Nature Reviews Neuroscience, 4(10), 829–839. doi:10.1038/nrn1201
  • Barbot, B., Besancon, M., & Lubart, T. I. (2015). Creative potential in educational settings: Its nature, measure, and nurture. Education 3–13, 43(3), 371–381. doi:https://doi.org/10.1080/03004279.2015.1020643
  • Bayliss, D. M., Jarrold, C., Gunn, D. M., & Baddeley, A. D. (2003). The complexities of complex span: Explaining individual differences in working memory in children and adults. Journal of Experimental Psychology General, 132(1), 71–92. doi:10.1037/0096-3445.132.1.71
  • Beghetto, R. A. (2016). Creative learning: A fresh look. Journal of Cognitive Education and Psychology, 15(1), 6–23. doi:10.1891/1945-8959.15.1.6
  • Benedek, M., Jauk, E., Sommer, M., Arendasy, M., & Neubauer, A. C. (2014). Intelligence, creativity, and cognitive control: The common and differential involvement of executive functions in intelligence and creativity. Intelligence, 46, 73–83. doi:10.1016/j.intell.2014.05.007
  • Bolck, A., Croon, M., & Hagenaars, J. (2004). Estimating latent structure models with categorical variables: One-step versus three-step estimators. Political Analysis, 12(1), 3–27. doi: 10.1093/pan/mph001
  • Brophy, D. R. (2001). Comparing the attributes, activities, and performance of divergent, convergent, and combination thinkers. Creativity Research Journal, 13(3–4), 439–455. doi:10.1207/S15326934CRJ1334_20
  • Cain, K., Oakhill, J., & Bryant, P. (2004). Children’s reading comprehension ability: Concurrent prediction by working memory, verbal ability, and component skills. Journal of Educational Psychology, 96(1), 31–42. doi:10.1037/0022-0663.96.1.31
  • Chooi, W. T. (2012). Working memory and intelligence: A brief review. Journal of Educational and Developmental Psychology, 2(2), 42. doi:10.5539/jedp.v2n2p42
  • Clapham, M. M. (2004). The convergent validity of the Torrance tests of creative thinking and divergent thinking interest inventories. Educational and Psychological Measurement, 64(5), 828–841. doi:10.1177/0013164404263883
  • Clements, D. H. (1991). Enhancement of creativity in computer environments. American Educational Research Journal, 28(1), 173–187. doi:10.3102/00028312028001173
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Erlbaum.
  • Collard, P., & Looney, J. (2014). Nurturing creativity in education. European Journal of Education, 49(3), 348–364. doi:10.1111/ejed.12090
  • Cortés Pascual, A., Moyano Muñoz, N., & Quilez Robres, A. (2019). The relationship between executive functions and academic performance in primary education: Review and meta-analysis. Frontiers in Psychology, 10(1582), 1–18. doi:10.3389/fpsyg.2019.01582
  • Cramond, B., Matthews-Morgan, J., Bandalos, D., & Zuo, L. (2005). A report on the 40-year follow-up of the Torrance tests of creative thinking: Alive and well in the new millennium. The Gifted Child Quarterly, 49(4), 283–291. doi:10.1177/001698620504900402
  • Crockett, L., Moilanen, K., Raffaelli, M., & Randall, B. (2006). Psychological profiles and adolescent adjustment: A person-centered approach. Development and Psychopathology, 18(1), 195–214. doi:10.1017/S0954579406060111
  • Dodge, Y. (2008). The concise encyclopedia of statistics: Least significant difference test. doi:10.1007/978-0-387-32833-1
  • Enders, C. K., & Bandalos, D. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling, 8(3), 430–457. doi:10.1207/S15328007SEM0803_5
  • Fink, A., Benedek, M., Koschutnig, K., Papousek, I., Weiss, E. M., Bagga, D., & Schöpf, V. (2018). Modulation of resting-state network connectivity by verbal divergent thinking training. Brain and Cognition, 128, 1–6. doi:10.1016/j.bandc.2018.10.008
  • Gajda, A., Karwowski, M., & Beghetto, R. A. (2017). Creativity and academic achievement: A meta-Analysis. Journal of Educational Psychology, 109(2), 269–299. doi:10.1037/edu0000133
  • Gathercole, S. E., & Pickering, S. J. (2000). Working memory deficits in children with low achievements in the national curriculum at 7 years of age. The British Journal of Educational Psychology, 70(2), 177–194. doi:10.1348/000709900158047
  • Gathercole, S. E., Pickering, S. J., Knight, C., & Stegmann, Z. (2004). Working memory skills and educational attainment: Evidence from national curriculum assessments at 7 and 14 years of age. Applied Cognitive Psychology, 18(1), 1–16. doi:https://doi.org/10.1002/acp.934
  • Geiser, C. (2013). Data analysis with Mplus. New York, NY: The Guildford Press.
  • Glenberg, A. M. (2011). How reading comprehension is embodied and why that matters. International Electronic Journal of Elementary Education, 4(1), 5–18. http://www.iejee.com/index.php/IEJEE/article/download/210/206
  • Grigorenko, E. L., Jarvin, L., Diffley, R., Goodyear, J., Shanahan, E. J., & Sternberg, R. J. (2009). Are SSATs and GPA enough? A theory-based approach to predicting academic success in secondary school. Journal of Educational Psychology, 101(4), 964–981. doi:10.1037/a0015906
  • Habibollah, N., Rohani, A., Tengku Aizan, H., Jamaluddin, S., & Kumar, V. (2010). Relationship between creativity and academic achievement: A study of gender differences. Journal of American Science, 6(1), 181–190.
  • Heitjan, D. F., & Basu, S. (1996). Distinguishing “missing at random” and “missing completely at random”. The American Statistician, 50(3), 207–213. doi:10.1080/00031305.1996.10474381
  • Hickendorff, M. (2013). The language factor in elementary mathematics assessments: Computational skills and applied problem solving in a multidimensional IRT framework. Applied Measurement in Education, 26(4), 253–278. doi:10.1080/08957347.2013.824451
  • Holm, S. (1979). A simple sequential rejective multiple test procedure. Scandinavian Journal of Statistics, 6(2), 65–70. https://www.jstor.org/stable/pdf/4615733.pdf
  • Hop, M., Scheltens, F., Janssen, J., & Engelen, R. (2016). Wetenschappelijke Verantwoording Rekenen-Basisbewerkingen voor groep 3 tot en met 8 van het primair onderwijs [Scientific justification of mathematics-basic calculations for Grade 1 to 6]. Cito.
  • Jacob, R., & Parkinson, J. (2015). The potential for school-based interventions that target executive function to improve academic achievement: A review. Review of Educational Research, 85(4), 512–552. doi:10.3102/0034654314561338
  • Jarvis, H. L., & Gathercole, S. E. (2003). Verbal and non-verbal working memory and achievements on national curriculum tests at 11 and 14 years of age. Educational and Child Psychology, 20(3), 123–140. https://www.researchgate.net/publication/250928054Therelationshipbetweenworkingmemoryandearlywritingatthewordsentenceandtextlevel#page=125
  • Jauk, E., Benedek, M., Dunst, B., & Neubauer, A. C. (2013). The relationship between intelligence and creativity: New support for the threshold hypothesis by means of empirical breakpoint detection. Intelligence, 41(4), 212–221. doi:https://doi.org/10.1016/j.intell.2013.03.003
  • Karwowski, M. (2017). Subordinated and rebellious creativity at school. In R. A. Beghetto & B. Sriraman (Eds.), Creative contradictions in education (pp. 89–113). Springer.
  • Karwowski, M., & Soszynski, M. (2008). How to develop creative imagination?: Assumptions, aims and effectiveness of role play training in creativity (RPTC). Thinking Skills and Creativity, 3(2), 163–171. doi:10.1016/j.tsc.2008.07.001
  • Kell, H. J., Lubinski, D., Benbow, C. P., & Steiger, J. H. (2013). Creativity and technical innovation spatial ability’s unique role. Psychological Science, 24(9), 1831–1836. doi:10.1177/0956797613478615
  • Kim, K. H. (2005). Can only intelligent people be creative? A meta-analysis. Journal of Secondary Gifted Education, 16(2–3), 57–66. doi:10.4219/jsge-2005-473
  • Kim, K. H. (2011). The creativity crisis: The decrease in creative thinking scores on the Torrance tests of creative thinking. Creativity Research Journal, 23(4), 285–295. doi:10.1080/10400419.2011.627805
  • Kozhevnikov, M., Kozhevnikov, M., Yu, C. J., & Blazhenkova, O. (2013). Creativity, visualization abilities, and visual cognitive style. The British Journal of Educational Psychology, 83(2), 196–209. doi:10.1111/bjep.12013
  • Kroesbergen, E. H., & Schoevers, E. M. (2017). Creativity as predictor of mathematical abilities in fourth graders in addition to number sense and working memory. Journal of Numerical Cognition, 3(2), 417–440. doi:10.5964/jnc.v3i2.63
  • Leikin, R. (2009). Exploring mathematical creativity using multiple solution tasks. In R. Leikin, A. Berman, & B. Koichu (Eds.), Creativity in mathematics and the education of gifted students (pp. 129–145). Rotterdam, the Netherlands: Sense Publishers.
  • Lin, W. L., & Lien, Y. W. (2013). The different role of working memory in open-ended versus closed-ended creative problem solving: A dual-process theory account. Creativity Research Journal, 25(1), 85–96. 10.1080/10400419.2013.752249.
  • Liu, L. M. (2007). The relationships between creativity, drawing ability, and visual/spatial intelligence: A study of Taiwan’s third-grade children. Asia Pacific Education Review, 8(3), 343–352. doi:10.1007/BF03026464
  • Lu, R., Zhang, Y., Bao, N., Su, M., Zhang, X., & Shi, J. (2022). Visuospatial, rather than verbal working memory capacity plays a key role in verbal and figural creativity. Thinking & Reasoning, 28(1), 29–60. doi:10.1080/13546783.2021.1911848
  • Maehler, C., & Schuchardt, K. (2016). The importance of working memory for school achievement in primary school children with intellectual or learning disabilities. Research in Developmental Disabilities, 58, 1–8. doi: 10.1016/j.ridd.2016.08.007
  • McCabe, D. P., Roediger, H. L., III, McDaniel, M. A., Balota, D. A., & Hambrick, D. Z. (2010). The relationship between working memory capacity and executive functioning: Evidence for a common executive attention construct. Neuropsychology, 24(2), 222–243. doi:10.1037/a0017619
  • Melby-Lervåg, M., Redick, T. S., & Hulme, C. (2016). Working memory training does not improve performance on measures of intelligence or other measures of “far transfer” evidence from a meta-analytic review. Perspectives on Psychological Science, 11(4), 512–534. doi:10.1177/1745691616635612
  • Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex ‘‘frontal lobe’’ tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49–100. doi:10.1006/cogp.1999.0734
  • Muthén, B., & Asparaouhov, T. (2002). Using Mplus Monte Carlo simulations in practice: A note on non-normal missing data in latent variable models. http://www.statmodel.com/download/webnotes/mc2.pdf
  • Muthén, B. O., & Muthén, L. K. (2017). Mplus (8.0). Author.
  • Niaz, M., Núñez, G. S., & Pineda, I. R. (2000). Academic performance of high school students as a function of mental capacity, cognitive style, mobility-fixity dimension, and creativity. The Journal of Creative Behavior, 34(1), 18–29. doi:https://doi.org/10.1002/j.2162-6057.2000.tb01200.x
  • Nouwens, S., Groen, M. A., & Verhoeven, L. (2016). How storage and executive functions contribute to children’s reading comprehension. Learning and Individual Differences, 47, 96–102. doi:10.1016/j.lindif.2015.12.008
  • 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. doi:10.1080/10705510701575396
  • Palmiero, M., Nakatani, C., Raver, D., Belardinelli, M. O., & van Leeuwen, C. (2010). Abilities within and across visual and verbal domains: How specific is their influence on creativity? Creativity Research Journal, 22(4), 369–377. doi:10.1080/10400419.2010.523396
  • Palmiero, M., Nori, R., & Piccardi, L. (2016). Visualizer cognitive style enhances visual creativity. Neuroscience Letters, 615, 98–101. doi:10.1016/j.neulet.2016.01.032
  • Pickering, S. J., & Gathercole, S. E. (2004). Distinctive working memory profiles in children with special educational needs. Educational Psychology, 24(3), 393–408. doi:10.1080/0144341042000211715
  • Pitta-Pantazi, D., Sophocleous, P., & Christou, C. (2013). Spatial visualizers, object visualizers and verbalizers: Their mathematical creative abilities. ZDM, 45(2), 199–213. doi:https://doi.org/10.1007/s11858-012-0475-1
  • Popov, A. (1992). Creativity and reading comprehension. The Journal of Creative Behavior, 26(3), 206–212. doi:10.1002/j.2162-6057.1992.tb01177.x
  • Portney, L. G., & Watkins, M. P. (2000). Foundations of clinical research: Applications to practice. Prentice Hall.
  • Ritchie, S. J., Luciano, M., Hansell, N. K., Wright, M. J., & Bates, T. C. (2013). The relationship of reading ability to creativity: Positive, not negative associations. Learning and Individual Differences, 26, 171–176. doi:10.1016/j.lindif.2013.02.009
  • Runco, M. A. (2010). Divergent thinking, creativity, and ideation. In Eds., J. C. Kaufman & R. J. Sternberg The Cambridge handbook of creativity (pp. 413–446). doi:10.1017/CBO9780511763205.026
  • Runco, M. A., & Jaeger, G. J. (2012). The standard definition of creativity. Creativity Research Journal, 24(1), 92–96. doi:10.1080/10400419.2012.650092
  • Ruscio, J., Whitney, D. M., & Amabile, T. M. (1998). Looking inside the fishbowl of creativity: Verbal and behavioral predictors of creative performance. Creativity Research Journal, 11(3), 243–263. doi:10.1207/s15326934crj1103_4
  • Schacter, J., Thum, Y. M., & Zifkin, D. (2006). How much does creative teaching enhance elementary school students’ achievement? The Journal of Creative Behavior, 40(1), 47–72. doi:10.1002/j.2162-6057.2006.tb01266.x
  • Schermelleh-Engel, K., Moosbrugger, H., & Muller, H. (2003). Evaluating the fit of structural equation models: Test of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74.
  • Shaheen, R. (2010). Creativity and education. Creative Education, 1(3), 166–169. doi:10.4236/ce.2010.13026
  • Silvia, P. J., Kaufman, J. C., & Pretz, J. E. (2009). Is creativity domain-specific? Latent class models of creative accomplishments and creative self-descriptions. Psychology of Aesthetics, Creativity, and the Arts, 3(3), 139–148. doi:10.1037/a0014940
  • St.Clair-Thompson, H. L., & Gathercole, S. E. (2006). Executive functions and achievements in school: Shifting, updating, inhibition, and working memory. The Quarterly Journal of Experimental Psychology, 59(4), 745–759. doi:10.1080/17470210500162854
  • Sternberg, R. J. (2015). Teaching for creativity: The sounds of silence. Psychology of Aesthetics, Creativity, and the Arts, 9(2), 115. doi:10.1037/aca0000007
  • Stolte, M., García, T., Van Luit, J. E., Oranje, B., & Kroesbergen, E. H. (2020). The contribution of executive functions in predicting mathematical creativity in typical elementary school classes: a twofold role for updating. Journal of Intelligence, 8(2), 26. doi:10.3390/jintelligence8020026
  • Suijkerbuijk, A. M., Jonker, H., Van den Bos, K. P., & Kroesbergen, E. H. (2018). Image thinking: A study into visual and verbal thinking preferences and skills among children from grades 4 and 5. Pedagogische Studiën, 95, 1–19. https://pedagogischestudien.nl/search?identifier=6998330d-78ee-41ef-a627-14f2446d4c87
  • Takeuchi, H., Taki, Y., Hashizume, H., Sassa, Y., Nagase, T., Nouchi, R., & Kawashima, R. (2011). Failing to deactivate: The association between brain activity during a working memory task and creativity. Neuroimage, 55(2), 681–687. doi:https://doi.org/10.1016/j.neuroimage.2010.11.052
  • Tein, J., Coxe, S., & Cham, H. (2013). Statistical power to detect the correct number of classes in latent profile analysis. Structural Equation Modelling: A Multidisciplinary Journal, 20(4), 640–657. doi:10.1080/10705511.2013.824781
  • Tomesen, M., Engelen, R., & Hiddink, L. (2018). Wetenschappelijke Verantwoording Begrijpend Lezen 3.0 voor Groep 7 [Scientific justification of reading comprehension grade 7]. Cito.
  • Torrance, E. P. (2008). Torrance Test of Creative Thinking. Scholastic Testing Service.
  • Urban, K. K. (2005). Assessing creativity: The test for creative thinking-drawing production (TCT-DP). International Education Journal, 6(2), 272–280. https://files.eric.ed.gov/fulltext/EJ854980.pdf
  • Urban, K. K., & Jellen, H. G. (1996). Test for Creative Thinking– Drawing Production. Swets & Zeitlinger.
  • Van der Ven, S. H., Boom, J., Kroesbergen, E. H., & Leseman, P. P. (2012). Microgenetic patterns of children’s multiplication learning: Confirming the overlapping waves model by latent growth modeling. Journal of Experimental Child Psychology, 113(1), 1–19. doi:10.1016/j.jecp.2012.02.001
  • Van der Ven, S. H. G., Kroesbergen, E. H., Boom, J., & Leseman, P. P. M. (2011). The development of executive functions and early mathematics: A dynamic relationship. The British Journal of Educational Psychology, 82(1), 100–119. doi:10.1111/j.2044-8279.2011.02035.x
  • Van de Weijer-Bergsma, E., Kroesbergen, E. H., Jolani, S., & Van Luit, J. E. H. (2016). The Monkey game: A computerized verbal working memory task for self-reliant administration in primary school children. Behavior Research Methods, 48(2), 756–771. doi:https://doi.org/10.3758/s13428-015-0607-y
  • Van de Weijer-Bergsma, E., Kroesbergen, E. H., Prast, E., & Van Luit, J. E. H. (2015). Validity and reliability of an online visual–spatial working memory task for self-reliant administration in school-aged children. Behavior Research Methods, 47(3), 708–719. doi:10.3758/s13428-014-0469-8
  • Vermunt, J. K., & Magidson, J. (2002). Latent class cluster analysis. In J. A. Hagenaars & A. McCutcheon (Eds.), Applied latent class analysis (pp. 89–106). Cambridge University Press.
  • Von Eye, A., & Bergman, L. (2003). Research strategies in developmental psychopathy: Dimensional identity and the person-oriented approach. Development and Psychopathy, 15(3), 553–580. doi:10.1017/S0954579403000294
  • Wiley, J., & Jarosz, A. F. (2012). Working memory capacity, attentional focus, and problem solving. Current Directions in Psychological Science, 21(4), 258–262. doi:10.1177/0963721412447622
  • Willemsen, R. H., Schoevers, E. M., & Kroesbergen, E. H. (2020). The structure of creativity in primary education: An empirical confirmation of the amusement park theory. The Journal of Creative Behavior, 54(4), 1–14. doi:10.1002/jocb.411
  • Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample size requirements for structural equation models: An evaluation of power, bias, and solution property. Educational and Psychological Measurement, 73(6), 913–934. doi:10.1177/0013164413495237
  • Woolley, G. (2011). Reading comprehension. In G. Woolley (Ed.), Reading Comprehension (pp. 15–34). Springer.
  • Yuan, X., & Sriraman, B. (2011). An exploratory study of relationships between students’ divergent thinking and mathematical problem-posing abilities. In B. Sriraman & K. Lee (Eds.), The elements of creativity and giftedness in mathematics (pp. 5–28). Sense Publishers.