Botvinick, M. M., S, B. T., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001). Conflict Monitoring and Cognitive Control. Psychological Review, 103(3), 624–652.
Champely, S., (2020). pwr: Basic Functions for Power Analysis. R package version 1.3-0. https://CRAN.R-project.org/package=pwr
Chuderski, A., Jastrzębski, J., Kroczek, B., Kucwaj, H., & Ociepka, M. (2020). Metacognitive experience on Raven’s matrices versus insight problems. Metacognition and Learning, 31–44. https://doi.org/10.1007/s11409-020-09236-6
Danek, A. H. (2018). Magic tricks, sudden restructuring, and the Aha! experience: A new model of nonmonotonic problem solving. In F. Valee-Tourangeau (Ed.), Insight (pp. 51-78). Routledge.
Danek, A. H., Fraps, T., von Müller, A., Grothe, B., & Öllinger, M. (2014). It’s a kind of magic-what self-reports can reveal about the phenomenology of insight problem solving. Frontiers in Psychology, 5, 1–11. https://doi.org/10.3389/fpsyg.2014.01408
Danek, A. H., & Wiley, J. (2017). What about false insights? Deconstructing the aha! experience along its multiple dimensions for correct and incorrect solutions separately. Frontiers in Psychol-ogy, 7, 1–14. https://doi.org/10.3389/fpsyg.2016.02077
Danek, A. H., Wiley, J., & Öllinger, M. (2016). Solving classical insight problems without aha! experience: 9 Dot, 8 Coin, and matchstick arithmetic problems. Journal of Problem Solving, 9(1), 47–57. https://doi.org/10.7771/1932-6246.1183
Danek, A. H., Williams, J., & Wiley, J. (2020). Closing the gap: connecting sudden representational change to the subjective Aha! experience in insightful problem solving. Psychological Research, 0(0), 1–9. https://doi.org/10.1007/s00426-018-0977-8
Duncker, K. (1926). A qualitative (experimental and theoretical) study of productive thinking (solving of comprehensible problems). Pedago-gical Seminary and Journal of Genetic Psychology, 33, 642–708. https://doi.org/10.1080/08856559.1926.10533052
Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146
Gick, M. L., & Lockhart, R. S. (1995). Cognitive and affective components of insight. In R. J. Sternberg & R. Davidson, John (Eds.), The nature of insight (pp. 197–228). Cambridge: MIT Press.
Guilforfd, J. P. (1967). The nature of human inteligence. McGraw-Hill. Köhler, W. (1947). Gestalt Psychology. The definitive statement of the Gestalt Theory. New York: Liveright.
Kornmeier, J., & Bach, M. (2005). The Necker cube - An ambiguous figure disambiguated in early visual processing. Vision Research, 45(8), 955–960. https://doi.org/10.1016/j.visres.2004.10.006
Kounios, J, & Beeman, M. (2014). The cognitive neuroscience of insight. Annual Review of Psychology, 65. https://doi.org/10.1146/annurev-psych-010213-115134
Kounios, John, Fleck, J. I., Green, D. L., Payne, L., Stevenson, J. L., Bowden, E. M., & Jung-Beeman, M. (2008). The origins of insight in resting-state brain activity. Neuropsychologia, 46(1), 281–291. https://doi.org/10.1016/j.neuropsychologia.2007.07.013
Laukkonen, R. E., & Tangen, J. M. (2017). Can observing a Necker cube make you more insightful? Consciousness and Cognition, 48, 198– 211. https://doi.org/10.1016/j.concog.2016.11.011
Long, G. M., & Toppino, T. C. (2004). Enduring interest in perceptual ambiguity: Alternating views of reversible figures. Psychological Bulletin, 130(5), 748–768. https://doi.org/10.1037/0033-2909.130.5.748
Metcalfe, J. (1986). Feeling of knowing in memory and problem solving. Journal of Experimental Psychology: Learning, Memory, and Cognition, 12(2), 288–294. https://doi.org/10.1037/0278-7393.12.2.288
Newell, A. (1985). Duncker on thinking: An inquiry into progress in cognition. A Century of Psychology as Science., 392–419. https://doi.org/10.1037/10117-032
Ohlsson, S. (1984). Restructuring revisited: II. An information processing theory of restructuring and insight. Scandinavian Journal of Psychology, 25(2), 117–129. https://doi.org/10.1111/j.1467-9450.1984.tb01005.x
Olteteanu, A. M., Schöttner, M., & Bahety, A. (2019). Towards a multi- level exploration of human and computational re-representation in unified cognitive frameworks. Frontiers in Psychology, 10(APR), 0– 34. https://doi.org/10.3389/fpsyg.2019.00940
Popper, K. (2005). The Logic of Scientific Discovery. In Hume’s Problem. https://doi.org/10.1093/0198250371.003.0009
Reiter-Palmon, R., Forthmann, B., & Barbot, B. (2019). Scoring divergent thinking tests: A review and systematic framework. Psychology of Aesthetics, Creativity, and the Arts, 13(2), 144–152. https://doi.org/10.1037/aca0000227
Wallach, M. A., & Kogan, N. (1965). A new look at the creativity‐ intelligence distinction 1. Journal of Personality, 33(3), 348–369. https://doi.org/10.1111/j.1467-6494.1965.tb01391.x
Webb, M. E., Little, D. R., & Cropper, S. J. (2016). Insight is not in the problem: Investigating insight in problem solving across task types. Frontiers in Psychology, 7, 1–13. https://doi.org/10.3389/fpsyg.2016.01424
Webb, M. E., Little, D. R., & Cropper, S. J. (2017). Once more with feeling: Normative data for the aha experience in insight and noninsight problems. Behavior Research Methods, 50(5), 2035– 2056. https://doi.org/10.3758/s13428-017-0972-9
Wiseman, R., Watt, C., Gilhooly, K., & Georgiou, G. (2011). Creativity and ease of ambiguous figural reversal. British Journal of Psychol-ogy, 102(3), 615–622. https://doi.org/10.1111/j.2044-8295.2011.02031.x