Al-Azary, H., Yu, T., & McRae, K. (2022). Can you touch the N400? The interactive effects of body-object interaction and task demands on N400 amplitudes and decision latencies. Brain and Language, 231, 105147.
Albers, C., & Lakens, D. (2018). When power analyses based on pilot data are biased: Inaccurate effect size estimators and follow-up bias. Journal of Experimental Social Psychology, 74, 187–195.
Amsel, B. D. (2011). Tracking real-time neural activation of conceptual knowledge using single-trial event-related potentials. Neuropsychologia, 49(5), 970–983.
Amsel, B. D., Urbach, T. P., & Kutas, M. (2014). Empirically grounding grounded cognition: The case of color. NeuroImage, 99, 149–157.
Anderson, C. J., Bahník, Š., Barnett-Cowan, M., Bosco, F. A., Chandler, J., Chartier, C. R., Cheung, F., Christopherson, C. D., Cordes, A., Cremata, E. J., Della Penna, N., Estel, V., Fedor, A., Fitneva, S. A., Frank, M. C., Grange, J. A., Hartshorne, J. K., Hasselman, F., Henninger, F., … Zuni, K. (2016). Response to Comment on Estimating the reproducibility of psychological science.” Science, 351(6277), 1037–1037.
Anderson, M. L. (2010). Neural reuse: A fundamental organizational principle of the brain. Behavioral and Brain Sciences, 33(4), 245–266.
Andrews, M., Frank, S., & Vigliocco, G. (2014). Reconciling embodied and distributional accounts of meaning in language. Topics in Cognitive Science, 6(3), 359–370.
Andrews, M., Vigliocco, G., & Vinson, D. (2009). Integrating experiential and distributional data to learn semantic representations. Psychological Review, 116(3), 463–498.
Aujla, H. (2021). Language experience predicts semantic priming of lexical decision. Canadian Journal of Experimental Psychology/Revue Canadienne de Psychologie Expérimentale, 75(3), 235.
Aust, F., & Barth, M. (2020). papaja: Create APA manuscripts with R Markdown.
Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59(4), 390–412.
Balota, D. A., & Lorch, R. F. (1986). Depth of automatic spreading activation: Mediated priming effects in pronunciation but not in lexical decision. Journal of Experimental Psychology: Learning, Memory, and Cognition, 12(3), 336–345.
Balota, D. A., Yap, M. J., Cortese, M. J., & Watson, J. M. (2008). Beyond mean response latency: Response time distributional analyses of semantic priming. Journal of Memory and Language, 59(4), 495–523.
Balota, D. A., Yap, M. J., Hutchison, K. A., Cortese, M. J., Kessler, B., Loftis, B., Neely, J. H., Nelson, D. L., Simpson, G. B., & Treiman, R. (2007). The English Lexicon Project. Behavior Research Methods, 39, 445–459.
Banks, B., Wingfield, C., & Connell, L. (2021). Linguistic distributional knowledge and sensorimotor grounding both contribute to semantic category production. Cognitive Science, 45(10), e13055.
Barca, L., Mazzuca, C., & Borghi, A. (2020). Overusing the pacifier during infancy sets a footprint on abstract words processing. Journal of Child Language, 47(5), 1084–1099.
Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68(3), 255–278.
Barsalou, L. W. (1999a). Perceptual symbol systems. Behavioral and Brain Sciences, 22(4), 577–660.
Barsalou, L. W. (1999b). Perceptual symbol systems. Behavioral and Brain Sciences, 22, 577–660.
Barsalou, L. W. (2003). Situated simulation in the human conceptual system. Language and Cognitive Processes, 18(5-6), 513–562.
Barsalou, L. W. (2016). On staying grounded and avoiding quixotic dead ends. Psychonomic Bulletin & Review, 23(4), 1122–1142.
Barsalou, L. W. (2019). Establishing generalizable mechanisms. Psychological Inquiry, 30(4), 220–230.
Barsalou, L. W., Santos, A., Simmons, W. K., & Wilson, C. D. (2008). Language and simulation in conceptual processing. In Symbols and Embodiment. Oxford University Press.
Barton, J. J. S., Hanif, H. M., Eklinder Björnström, L., & Hills, C. (2014). The word-length effect in reading: A review. Cognitive Neuropsychology, 31(5-6), 378–412.
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67, 1–48.
Bates, D., Maechler, M., Bolker, B., Walker, S., Christensen, R. H. B., Singmann, H., Dai, B., Scheipl, F., Grothendieck, G., Green, P., Fox, J., Brauer, A., & Krivitsky, P. N. (2021). Package ’lme4. CRAN.
Becker, S., Moscovitch, M., Behrmann, M., & Joordens, S. (1997). Long-term semantic priming: A computational account and empirical evidence. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23(5), 1059–1082.
Beilock, S. L., Lyons, I. M., Mattarella-Micke, A., Nusbaum, H. C., & Small, S. L. (2008). Sports experience changes the neural processing of action language. Proceedings of the National Academy of Sciences, 105(36), 13269–13273.
Bernabeu, P. (2017). Modality switches occur early and extend late in conceptual processing: Evidence from ERPs. PsyArXiv.
Bernabeu, P. (2018). Dutch modality exclusivity norms for 336 properties and 411 concepts. PsyArXiv.
Bernabeu, P., Lynott, D., & Connell, L. (2021). Preregistration: The interplay between linguistic and embodied systems in conceptual processing. OSF.
Bernabeu, P., & Tillman, R. (2019). More refined typology and design in linguistic relativity: The case of motion event encoding. Dutch Journal of Applied Linguistics, 8(2), 163–171.
Bernabeu, P., Willems, R. M., & Louwerse, M. M. (2017). Modality switch effects emerge early and increase throughout conceptual processing: Evidence from ERPs. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. J. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (pp. 1629–1634). Cognitive Science Society.
Beyersmann, E., Grainger, J., & Taft, M. (2020). Evidence for embedded word length effects in complex nonwords. Language, Cognition and Neuroscience, 35(2), 235–245.
Binder, J. R., & Desai, R. H. (2011). The neurobiology of semantic memory. Trends in Cognitive Sciences, 15(11), 527–536.
Bonner, M. F., Vesely, L., Price, C., Anderson, C., Richmond, L., Farag, C., Avants, B., & Grossman, M. (2009). Reversal of the concreteness effect in semantic dementia. Cognitive Neuropsychology, 26(6), 568–579.
Borghesani, V., Pedregosa, F., Buiatti, M., Amadon, A., Eger, E., & Piazza, M. (2016). Word meaning in the ventral visual path: A perceptual to conceptual gradient of semantic coding. NeuroImage, 143, 128–140.
Borghi, A. M., Barca, L., Binkofski, F., Castelfranchi, C., Pezzulo, G., & Tummolini, L. (2019). Words as social tools: Language, sociality and inner grounding in abstract concepts. Physics of Life Reviews, 29, 120–153.
Borghi, A. M., Shaki, S., & Fischer, M. H. (2022). Abstract concepts: External influences, internal constraints, and methodological issues. Psychological Research.
Bottini, R., Bucur, M., & Crepaldi, D. (2016). The nature of semantic priming by subliminal spatial words: Embodied or disembodied? Journal of Experimental Psychology: General, 145(9), 1160–1176.
Bottini, R., Morucci, P., D’Urso, A., Collignon, O., & Crepaldi, D. (2021). The concreteness advantage in lexical decision does not depend on perceptual simulations. Journal of Experimental Psychology: General.
Botvinik-Nezer, R., Holzmeister, F., Camerer, C. F., Dreber, A., Huber, J., Johannesson, M., Kirchler, M., Iwanir, R., Mumford, J. A., Adcock, R. A., Avesani, P., Baczkowski, B. M., Bajracharya, A., Bakst, L., Ball, S., Barilari, M., Bault, N., Beaton, D., Beitner, J., … Schonberg, T. (2020). Variability in the analysis of a single neuroimaging dataset by many teams. Nature, 582(7810, 7810), 84–88.
Brauer, M., & Curtin, J. J. (2018). Linear mixed-effects models and the analysis of nonindependent data: A unified framework to analyze categorical and continuous independent variables that vary within-subjects and/or within-items. Psychological Methods, 23(3), 389–411.
Brunellière, A., Perre, L., Tran, T., & Bonnotte, I. (2017). Co-occurrence frequency evaluated with large language corpora boosts semantic priming effects. Quarterly Journal of Experimental Psychology, 70(9), 1922–1934.
Brysbaert, M. (2019). How many participants do we have to include in properly powered experiments? A tutorial of power analysis with reference tables. Journal of Cognition, 2(1, 1), 16.
Brysbaert, M. (2022). Word recognition II. In M. J. Snowling, C. Hulme, & K. Nation, The science of reading (pp. 79–101). John Wiley & Sons, Ltd.
Brysbaert, M., Mandera, P., & Keuleers, E. (2018). The word frequency effect in word processing: An updated review. Current Directions in Psychological Science, 27(1), 45–50.
Brysbaert, M., & Stevens, M. (2018). Power analysis and effect size in mixed effects models: A tutorial. Journal of Cognition, 1(1), 9.
Brysbaert, M., Stevens, M., Mandera, P., & Keuleers, E. (2016). The impact of word prevalence on lexical decision times: Evidence from the Dutch Lexicon Project 2. Journal of Experimental Psychology: Human Perception and Performance, 42(3), 441–458.
Brysbaert, M., Warriner, A. B., & Kuperman, V. (2014). Concreteness ratings for 40 thousand generally known English word lemmas. Behavior Research Methods, 46, 904–911.
Bullinaria, J. A., & Levy, J. P. (2007). Extracting semantic representations from word co-occurrence statistics: A computational study. Behavior Research Methods, 39(3), 510–526.
Bürkner, P.-C. (2018). Advanced Bayesian multilevel modeling with the R package brms. The R Journal, 10(1), 395–411.
Bürkner, P.-C., Gabry, J., Weber, S., Johnson, A., Modrak, M., Badr, H. S., Weber, F., Ben-Shachar, M. S., & Rabel, H. (2022). Package ’brms. CRAN.
Burman, D., Bitan, T., & Both, J. (2008). Sex differences in neural processing of language among children. Neuropsychologia, 46, 5, 1349–1362.
Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013). Power failure: Why small sample size undermines the reliability of neuroscience. Nature Reviews Neuroscience, 14(5, 5), 365–376.
Calvo-Merino, B., Glaser, D. E., Grèzes, J., Passingham, R. E., & Haggard, P. (2005). Action observation and acquired motor skills: An FMRI study with expert dancers. Cerebral Cortex, 15(8), 1243–1249.
Cerni, T., Velay, J.-L., Alario, F.-X., Vaugoyeau, M., & Longcamp, M. (2016). Motor expertise for typing impacts lexical decision performance. Trends in Neuroscience and Education, 5(3), 130–138.
Charbonnier, J., & Wartena, C. (2019). Predicting word concreteness and imagery. Proceedings of the 13th International Conference on Computational Semantics - Long Papers, 176–187.
Charbonnier, J., & Wartena, C. (2020). Predicting the concreteness of German words. Proceedings of the 5th Swiss Text Analytics Conference (SwissText), 2624.
Chen, I.-H., Zhao, Q., Long, Y., Lu, Q., & Huang, C.-R. (2019). Mandarin Chinese modality exclusivity norms. PLOS ONE, 14(2), e0211336.
Chen, S.-C., de Koning, B. B., & Zwaan, R. A. (2020). Does object size matter with regard to the mental simulation of object orientation? Experimental Psychology, 67(1), 56–72.
Chen, S.-C., Szabelska, A., Chartier, C. R., Kekecs, Z., Lynott, D., Bernabeu, P., Jones, B. C., DeBruine, L. M., Levitan, C., Werner, K. M., Wang, K., Milyavskaya, M., Musser, E. D., Papadatou-Pastou, M., Coles, N. A., Janssen, S., Özdoğru, A. A., Storage, D., Manley, H., … Schmidt, K. (2018). Investigating object orientation effects across 14 languages [Preprint]. PsyArXiv.
Cohen, J. (1983). The cost of dichotomization. Applied Psychological Measurement, 7(3), 249–253.
Coleman, L., & Kay, P. (1981). Prototype semantics: The English word Lie. Language, 57(1), 26–44.
Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic processing. Psychological Review, 82, 407–428.
Collins, J., Pecher, D., Zeelenberg, R., & Coulson, S. (2011). Modality switching in a property verification task: An ERP study of what happens when candles flicker after high heels click. Frontiers in Psychology, 2(10).
Conca, F., Catricalà, E., Canini, M., Petrini, A., Vigliocco, G., Cappa, S. F., & Della Rosa, P. A. (2021). In search of different categories of abstract concepts: A fMRI adaptation study. Scientific Reports, 11(1, 1), 22587.
Connell, L. (2019). What have labels ever done for us? The linguistic shortcut in conceptual processing. Language, Cognition and Neuroscience, 34(10), 1308–1318.
Connell, L., & Lynott, D. (2012). Strength of perceptual experience predicts word processing performance better than concreteness or imageability. Cognition, 125(3), 452–465.
Connell, L., & Lynott, D. (2013). Flexible and fast: Linguistic shortcut affects both shallow and deep conceptual processing. Psychonomic Bulletin & Review, 20, 3, 542–550.
Connell, L., & Lynott, D. (2014a). I see/hear what you mean: Semantic activation in visual word recognition depends on perceptual attention. Journal of Experimental Psychology: General, 143(2), 527–533.
Connell, L., & Lynott, D. (2014b). Principles of representation: Why you can’t represent the same concept twice. Topics in Cognitive Science, 6(3), 390–406.
Connell, L., & Lynott, D. (2016). Do we know what we’re simulating? Information loss on transferring unconscious perceptual simulation to conscious imagery. Journal of Experimental Psychology: Learning, Memory, and Cognition, 42(8), 1218–1232.
Connell, L., Lynott, D., & Banks, B. (2018). Interoception: The forgotten modality in perceptual grounding of abstract and concrete concepts. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1752), 20170143.
Contreras Kallens, P., Dale, R., & Christiansen, M. H. (2022). Quantifying interdisciplinarity in cognitive science and beyond. Topics in Cognitive Science.
Corker, K. S., Lynott, D., Wortman, J., Connell, L., Donnellan, M. B., Lucas, R. E., & O’Brien, K. (2014). High quality direct replications matter: Response to Williams (2014). Social Psychology, 45(4), 324–326.
Cumming, G. (2014). The new statistics: Why and how. Psychological Science, 25(1), 7–29.
Daidone, D., & Darcy, I. (2021). Vocabulary size is a key factor in predicting second language lexical encoding accuracy. Frontiers in Psychology, 12, 688356.
Davies, R. A., Arnell, R., Birchenough, J. M., Grimmond, D., & Houlson, S. (2017). Reading through the life span: Individual differences in psycholinguistic effects. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(8), 1298.
Davis, C. P., & Yee, E. (2021). Building semantic memory from embodied and distributional language experience. WIREs Cognitive Science, 12(5), e1555.
De Deyne, S., Navarro, D. J., Collell, G., & Perfors, A. (2021). Visual and affective multimodal models of word meaning in language and mind. Cognitive Science, 45(1), e12922.
De Deyne, S., Navarro, D. J., Perfors, A., Brysbaert, M., & Storms, G. (2019). The Small World of Words English word association norms for over 12,000 cue words. Behavior Research Methods, 51, 987–1006.
De Deyne, S., Navarro, D. J., & Storms, G. (2013). Better explanations of lexical and semantic cognition using networks derived from continued rather than single-word associations. Behavior Research Methods, 45(2), 480–498.
De Deyne, S., Perfors, A., & Navarro, D. (2016). Predicting human similarity judgments with distributional models: The value of word associations. Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 1861–1870.
de Koning, B. B., Wassenburg, S. I., Bos, L. T., & van der Schoot, M. (2017). Mental simulation of four visual object properties: Similarities and differences as assessed by the sentence–picture verification task. Journal of Cognitive Psychology, 29(4), 420–432.
de Wit, B., & Kinoshita, S. (2015). The masked semantic priming effect is task dependent: Reconsidering the automatic spreading activation process. Journal of Experimental Psychology: Learning, Memory, and Cognition, 41(4), 1062–1075.
DeLuca, V., Rothman, J., Bialystok, E., & Pliatsikas, C. (2019). Redefining bilingualism as a spectrum of experiences that differentially affects brain structure and function. Proceedings of the National Academy of Sciences, 116(15), 7565–7574.
Diaz, M. T., Karimi, H., Troutman, S. B. W., Gertel, V. H., Cosgrove, A. L., & Zhang, H. (2021). Neural sensitivity to phonological characteristics is stable across the lifespan. NeuroImage, 225, 117511.
Dijkstra, T., Wahl, A., Buytenhuijs, F., Halem, N. V., Al-Jibouri, Z., Korte, M. D., & Rekké, S. (2019). Multilink: A computational model for bilingual word recognition and word translation. Bilingualism: Language and Cognition, 22(4), 657–679.
Dils, A. T., & Boroditsky, L. (2010). Visual motion aftereffect from understanding motion language. Proceedings of the National Academy of Sciences, 107(37), 16396–16400.
Diveica, V., Pexman, P. M., & Binney, R. J. (2022). Quantifying social semantics: An inclusive definition of socialness and ratings for 8388 English words. Behavior Research Methods.
Dormann, C. F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., Marquéz, J. R. G., Gruber, B., Lafourcade, B., Leitão, P. J., Münkemüller, T., McClean, C., Osborne, P. E., Reineking, B., Schröder, B., Skidmore, A. K., Zurell, D., & Lautenbach, S. (2013). Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography, 36(1), 27–46.
Dove, G. (2020). More than a scaffold: Language is a neuroenhancement. Cognitive Neuropsychology, 37(5-6), 288–311.
Duñabeitia, J. A., Avilés, A., Afonso, O., Scheepers, C., & Carreiras, M. (2009). Qualitative differences in the representation of abstract versus concrete words: Evidence from the visual-world paradigm. Cognition, 110(2), 284–292.
Faust, M. E., Balota, D. A., Spieler, D. H., & Ferraro, F. R. (1999). Individual differences in information-processing rate and amount: Implications for group differences in response latency. Psychological Bulletin, 125, 777–799.
Fernandino, L., Binder, J. R., Desai, R. H., Pendl, S. L., Humphries, C. J., Gross, W. L., Conant, L. L., & Seidenberg, M. S. (2016). Concept representation reflects multimodal abstraction: A framework for embodied semantics. Cerebral Cortex, 26(5), 2018–2034.
Fernandino, L., Tong, J.-Q., Conant, L. L., Humphries, C. J., & Binder, J. R. (2022). Decoding the information structure underlying the neural representation of concepts. Proceedings of the National Academy of Sciences, 119(6).
Fetterman, A. K., Wilkowski, B. M., & Robinson, M. D. (2018). On feeling warm and being warm: Daily perceptions of physical warmth fluctuate with interpersonal warmth. Social Psychological and Personality Science, 9(5), 560–567.
Fillmore, C. J. (1975). An alternative to checklist theories of meaning. Annual Meeting of the Berkeley Linguistics Society, 1, 123–131.
Fleur, D. S., Flecken, M., Rommers, J., & Nieuwland, M. S. (2020). Definitely saw it coming? The dual nature of the pre-nominal prediction effect. Cognition, 204, 104335.
Flores d’Arcais, G. B., Schreuder, R., & Glazenborg, G. (1985). Semantic activation during recognition of referential words. Psychological Research, 47(1), 39–49.
Fox, J. (2016). Generalized linear models. In Applied regression analysis and generalized linear models (Third Edition, pp. 418–472). SAGE.
Frome, A., Corrado, G. S., Shlens, J., Bengio, S., Dean, J., Ranzato, M., & Mikolov, T. (2013). DeViSE: A deep visual-semantic embedding model. In C. J. Burges, L. Bottou, M. Welling, Z. Ghahramani, & K. Q. Weinberger (Eds.), Advances in neural information processing systems (Vol. 26). Curran Associates, Inc.
Gagné, C. L., Spalding, T. L., & Nisbet, K. A. (2016). Processing English compounds: Investigating semantic transparency. SKASE Journal of Theoretical Linguistics, 13(2), 2–22.
Gallese, V., & Lakoff, G. (2005). The Brain’s concepts: The role of the Sensory-motor system in conceptual knowledge. Cognitive Neuropsychology, 22(3-4), 455–479.
Garcea, F., Dombovy, M., & Mahon, B. Z. (2013). Preserved Tool Knowledge in the Context of Impaired Action Knowledge: Implications for Models of Semantic Memory. Frontiers in Human Neuroscience, 7, 120.
García, A. M., Hesse, E., Birba, A., Adolfi, F., Mikulan, E., Caro, M. M., Petroni, A., Bekinschtein, T. A., del Carmen García, M., Silva, W., Ciraolo, C., Vaucheret, E., Sedeño, L., & Ibáñez, A. (2020). Time to face language: Embodied mechanisms underpin the inception of face-related meanings in the human brain. Cerebral Cortex, 30(11), 6051–6068.
Gelman, A., & Carlin, J. (2014). Beyond power calculations: Assessing type S (sign) and type M (magnitude) errors. Perspectives on Psychological Science, 9(6), 641–651.
Gelman, A., Meng, X., & Stern, H. (1996). Posterior predictive assessment of model fitness via realized discrepancies. Statistica Sinica, 733–807.
Gilbert, D. T., King, G., Pettigrew, S., & Wilson, T. D. (2016). Comment on Estimating the reproducibility of psychological science.” Science, 351(6277), 1037–1037.
Green, P., & MacLeod, C. J. (2016). SIMR: An R package for power analysis of generalized linear mixed models by simulation. Methods in Ecology and Evolution, 7(4), 493–498.
Günther, F., Dudschig, C., & Kaup, B. (2015). LSAfun: An r package for computations based on latent semantic analysis. Behavior Research Methods, 47(4), 930–944.
Günther, F., Dudschig, C., & Kaup, B. (2016a). Latent semantic analysis cosines as a cognitive similarity measure: Evidence from priming studies. Quarterly Journal of Experimental Psychology, 69(4), 626–653.
Günther, F., Dudschig, C., & Kaup, B. (2016b). Predicting lexical priming effects from distributional semantic similarities: A replication with extension. Frontiers in Psychology, 7, 1646.
Günther, F., Dudschig, C., & Kaup, B. (2018). Symbol grounding without direct experience: Do words inherit sensorimotor activation from purely linguistic context? Cognitive Science, 42(S2), 336–374.
Günther, F., Press, S. A., Dudschig, C., & Kaup, B. (2021). The limits of automatic sensorimotor processing during word processing: Investigations with repeated linguistic experience, memory consolidation during sleep, and rich linguistic learning contexts. Psychological Research.
Hagoort, P. (2017). The core and beyond in the language-ready brain. Neuroscience & Biobehavioral Reviews, 81, 194–204.
Hald, L. A., Bastiaansen, M. C. M., & Hagoort, P. (2006). EEG theta and gamma responses to semantic violations in online sentence processing. Brain and Language, 96(1), 90–105.
Hald, L. A., Hocking, I., Vernon, D., Marshall, J. A., & Garnham, A. (2013). Exploring modality switching effects in negated sentences: Further evidence for grounded representations. Frontiers in Psychology, 4, 93.
Hald, L. A., Marshall, J. A., Janssen, D. P., & Garnham, A. (2011). Switching modalities in a sentence verification task: ERP evidence for embodied language processing. Frontiers in Psychology, 2, 45.
Harnad, S. (1990). The symbol grounding problem. Physica D: Nonlinear Phenomena, 42(1), 335–346.
Harrison, X. A., Donaldson, L., Correa-Cano, M. E., Evans, J., Fisher, D. N., Goodwin, C., Robinson, B. S., Hodgson, D. J., & Inger, R. (2018). A brief introduction to mixed effects modelling and multi-model inference in ecology. PeerJ, 6, 4794.
Hauk, O. (2016). Only time will tell – why temporal information is essential for our neuroscientific understanding of semantics. Psychonomic Bulletin & Review, 23(4), 1072–1079.
Hedge, C., Powell, G., & Sumner, P. (2018). The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences. Behavior Research Methods, 50(3), 1166–1186.
Heyman, T., Bruninx, A., Hutchison, K. A., & Storms, G. (2018). The (un)reliability of item-level semantic priming effects. Behavior Research Methods, 50(6), 2173–2183.
Hickok, G. (2014). The myth of mirror neurons: The real neuroscience of communication and cognition (p. 292). W W Norton & Co.
Hoedemaker, R. S., & Gordon, P. C. (2014). It takes time to prime: Semantic priming in the ocular lexical decision task. Journal of Experimental Psychology: Human Perception and Performance, 40(6), 2179–2197.
Hoenig, J. M., & Heisey, D. M. (2001). The Abuse of Power. The American Statistician, 55(1), 19–24.
Hoffman, P., & Lambon Ralph, M. A. (2011). Reverse concreteness effects are not a typical feature of semantic dementia: Evidence for the hub-and-spoke model of conceptual representation. Cerebral Cortex, 21(9), 2103–2112.
Holt, L. E., & Beilock, S. L. (2006). Expertise and its embodiment: Examining the impact of sensorimotor skill expertise on the representation of action-related text. Psychonomic Bulletin & Review, 13(4), 694–701.
Hultén, A., Vliet, M. van, Kivisaari, S., Lammi, L., Lindh-Knuutila, T., Faisal, A., & Salmelin, R. (2021). The neural representation of abstract words may arise through grounding word meaning in language itself. Human Brain Mapping, 42(15), 4973–4984.
Hutchinson, S., & Louwerse, M. M. (2013). Language statistics and individual differences in processing primary metaphors. Cognitive Linguistics, 24(4), 667–687.
Hutchison, K. A. (2003). Is semantic priming due to association strength or feature overlap? A microanalytic review. Psychonomic Bulletin & Review, 10(4), 785–813.
Hutchison, K. A., Balota, D. A., Cortese, M. J., & Watson, J. M. (2008). Predicting semantic priming at the item level. Quarterly Journal of Experimental Psychology, 61(7), 1036–1066.
Hutchison, K. A., Balota, D. A., Neely, J. H., Cortese, M. J., Cohen-Shikora, E. R., Tse, C.-S., Yap, M. J., Bengson, J. J., Niemeyer, D., & Buchanan, E. (2013). The semantic priming project. Behavior Research Methods, 45, 1099–1114.
Hutchison, K. A., Heap, S. J., Neely, J. H., & Thomas, M. A. (2014). Attentional control and asymmetric associative priming. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(3), 844–856.
James, A. N., Fraundorf, S. H., Lee, E. K., & Watson, D. G. (2018). Individual differences in syntactic processing: Is there evidence for reader-text interactions? Journal of Memory and Language, 102, 155–181.
Jared, D., & O’Donnell, K. (2017). Skilled adult readers activate the meanings of high-frequency words using phonology: Evidence from eye tracking. Memory & Cognition, 45(2), 334–346.
Jones, C. R., Chang, T. A., Coulson, S., Michaelov, J. A., Trott, S., & Bergen, B. (2022). Distrubutional semantics still can’t account for affordances. Proceedings of the Annual Meeting of the Cognitive Science Society, 44(44).
Jones, M. N., Kintsch, W., & Mewhort, D. J. (2006). High-dimensional semantic space accounts of priming. Journal of Memory and Language, 55(4), 534–552.
Joordens, S., & Becker, S. (1997). The long and short of semantic priming effects in lexical decision. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23(5), 1083–1105.
Jung, M., Mody, M., Fujioka, T., Kimura, Y., Okazawa, H., & Kosaka, H. (2019). Sex differences in white matter pathways related to language ability. Frontiers in Human Neuroscience, 13, 898.
Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
Khatin-Zadeh, O., Eskandari, Z., Cervera-Torres, S., Ruiz Fernández, S., Farzi, R., & Marmolejo-Ramos, F. (2021). The strong versions of embodied cognition: Three challenges faced. Psychology & Neuroscience, 14(1), 16–33.
Kiefer, M., Pielke, L., & Trumpp, N. M. (2022). Differential temporo-spatial pattern of electrical brain activity during the processing of abstract concepts related to mental states and verbal associations. NeuroImage, 252, 119036.
Kiela, D., & Bottou, L. (2014). Learning image embeddings using convolutional neural networks for improved multi-modal semantics. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP, 36–45.
Kim, M., Crossley, S. A., & Skalicky, S. (2018). Effects of lexical features, textual properties, and individual differences on word processing times during second language reading comprehension. Reading and Writing, 31(5), 1155–1180.
Knief, U., & Forstmeier, W. (2021). Violating the normality assumption may be the lesser of two evils. Behavior Research Methods.
Koller, M. (2016). robustlmm: An R package for robust estimation of linear mixed-effects models. Journal of Statistical Software, 75(6), 1–24.
Kos, M., Van den Brink, D., & Hagoort, P. (2012). Individual variation in the late positive complex to semantic anomalies. Frontiers in Psychology, 3(318).
Koster, D., Cadierno, T., & Chiarandini, M. (2018). Mental simulation of object orientation and size: A conceptual replication with second language learners. Journal of the European Second Language Association, 2(1), 38.
Kousta, S.-T., Vigliocco, G., Vinson, D. P., Andrews, M., & Del Campo, E. (2011). The representation of abstract words: Why emotion matters. Journal of Experimental Psychology: General, 140, 14–34.
Kruschke, J. K., & Liddell, T. M. (2018). The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective. Psychonomic Bulletin & Review, 25(1), 178–206.
Kuhnke, P., Kiefer, M., & Hartwigsen, G. (2021). Task-dependent functional and effective connectivity during conceptual processing. Cerebral Cortex, 31(7), 3475–3493.
Kumar, A. A. (2021). Semantic memory: A review of methods, models, and current challenges. Psychonomic Bulletin & Review, 28(1), 40–80.
Kumar, A. A., Balota, D. A., & Steyvers, M. (2020). Distant connectivity and multiple-step priming in large-scale semantic networks. Journal of Experimental Psychology: Learning, Memory, and Cognition, 46(12), 2261–2276.
Kumle, L., Võ, M. L.-H., & Draschkow, D. (2021). Estimating power in (generalized) linear mixed models: An open introduction and tutorial in R. Behavior Research Methods.
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest package: Tests in linear mixed effects models. Journal of Statistical Software, 82(13), 1–26.
Lam, K. J., Dijkstra, T., & Rueschemeyer, S. A. (2015). Feature activation during word recognition: Action, visual, and associative-semantic priming effects. Frontiers in Psychology, 6, 659.
Lamiell, J. T. (2019). Statistical thinking in psychology: Some needed critical perspective on what “everyone knows.” In J. T. Lamiell (Ed.), Psychology’s Misuse of Statistics and Persistent Dismissal of its Critics (pp. 99–121). Springer International Publishing.
Landauer, T. K., Foltz, P. W., & Laham, D. (1998). An introduction to latent semantic analysis. Discourse Processes, 25(2-3), 259–284.
Lebois, L. A. M., Wilson-Mendenhall, C. D., & Barsalou, L. W. (2015). Are automatic conceptual cores the gold standard of semantic processing? The context-dependence of spatial meaning in grounded congruency effects. Cognitive Science, 39(8), 1764–1801.
Lee, M. D., & Wagenmakers, E.-J. (2014). Bayesian cognitive modeling: A practical course. Cambridge University Press.
Lerche, V., von Krause, M., Voss, A., Frischkorn, G. T., Schubert, A.-L., & Hagemann, D. (2020). Diffusion modeling and intelligence: Drift rates show both domain-general and domain-specific relations with intelligence. Journal of Experimental Psychology: General, 149(12), 2207–2249.
Lewandowski, D., Kurowicka, D., & Joe, H. (2009). Generating random correlation matrices based on vines and extended onion method. Journal of Multivariate Analysis, 100(9), 1989–2001.
Lievers, F. S., Bolognesi, M., & Winter, B. (2021). The linguistic dimensions of concrete and abstract concepts: Lexical category, morphological structure, countability, and etymology. Cognitive Linguistics, 32(4), 641–670.
Lim, R. Y., Yap, M. J., & Tse, C.-S. (2020). Individual differences in Cantonese Chinese word recognition: Insights from the Chinese Lexicon Project. Quarterly Journal of Experimental Psychology, 73(4), 504–518.
Lo, S., & Andrews, S. (2015). To transform or not to transform: Using generalized linear mixed models to analyse reaction time data. Frontiers in Psychology, 6, 1171.
Loftus, E. F. (1975). Spreading activation within semantic categories: Comments on Rosch’s "Cognitive representation of semantic categories.". Journal of Experimental Psychology: General, 104, 234–240.
Loken, E., & Gelman, A. (2017). Measurement error and the replication crisis. Science, 355(6325), 584–585.
Louwerse, M. M. (2011). Symbol interdependency in symbolic and embodied cognition. Topics in Cognitive Science, 3(2), 273–302.
Louwerse, M. M., & Connell, L. (2011). A taste of words: Linguistic context and perceptual simulation predict the modality of words. Cognitive Science, 35(2), 381–398.
Louwerse, M. M., & Hutchinson, S. (2012). Neurological evidence linguistic processes precede perceptual simulation in conceptual processing. Frontiers in Psychology, 3, 385.
Louwerse, M. M., Hutchinson, S., Tillman, R., & Recchia, G. (2015). Effect size matters: The role of language statistics and perceptual simulation in conceptual processing. Language, Cognition and Neuroscience, 30(4), 430–447.
Louwerse, M. M., & Zwaan, R. A. (2009). Language encodes geographical information. Cognitive Science, 33(1), 51–73.
Lüdecke, D. (2021). sjPlot: Data visualization for statistics in social science.
Luke, S. G. (2017). Evaluating significance in linear mixed-effects models in R. Behavior Research Methods, 49(4), 1494–1502.
Lund, K., & Burgess, C. (1996). Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, Instruments, & Computers, 28(2), 203–208.
Lund, K., Burgess, C., & Atchley, R. A. (1995). Semantic and associative priming in high-dimensional semantic space. Proceedings of the Cognitive Science Society, 660–665.
Lynott, D., & Connell, L. (2009). Modality exclusivity norms for 423 object properties. Behavior Research Methods, 41(2), 558–564.
Lynott, D., Connell, L., Brysbaert, M., Brand, J., & Carney, J. (2020). The Lancaster Sensorimotor Norms: Multidimensional measures of perceptual and action strength for 40,000 English words. Behavior Research Methods, 52, 1271–1291.
Lynott, D., Corker, K. S., Wortman, J., Connell, L., Donnellan, M. B., Lucas, R. E., & O’Brien, K. (2014). Replication of Experiencing physical warmth promotes interpersonal warmth” by Williams and Bargh (2008). Social Psychology, 45(3), 216–222.
Mahon, B. Z., & Caramazza, A. (2008). A critical look at the embodied cognition hypothesis and a new proposal for grounding conceptual content. Journal of Physiology-Paris, 102(1), 59–70.
Mahon, B. Z., & Hickok, G. (2016). Arguments about the nature of concepts: Symbols, embodiment, and beyond. Psychonomic Bulletin & Review, 23(4), 941–958.
Majid, A., & Burenhult, N. (2014). Odors are expressible in language, as long as you speak the right language. Cognition, 130(2), 266–270.
Majid, A., & Levinson, S. C. (2011). The senses in language and culture. The Senses and Society, 6(1), 5–18.
Majid, A., & van Staden, M. (2015). Can nomenclature for the body be explained by embodiment theories? Topics in Cognitive Science, 7(4), 570–594.
Mak, M., & Willems, R. M. (2019). Mental simulation during literary reading: Individual differences revealed with eye-tracking. Language, Cognition and Neuroscience, 34(4), 511–535.
Mandera, P., Keuleers, E., & Brysbaert, M. (2017). Explaining human performance in psycholinguistic tasks with models of semantic similarity based on prediction and counting: A review and empirical validation. Journal of Memory and Language, 92, 57–78.
Marek, S., Tervo-Clemmens, B., Calabro, F. J., Montez, D. F., Kay, B. P., Hatoum, A. S., Donohue, M. R., Foran, W., Miller, R. L., Hendrickson, T. J., Malone, S. M., Kandala, S., Feczko, E., Miranda-Dominguez, O., Graham, A. M., Earl, E. A., Perrone, A. J., Cordova, M., Doyle, O., … Dosenbach, N. U. F. (2022). Reproducible brain-wide association studies require thousands of individuals. Nature, 1–7.
Matuschek, H., Kliegl, R., Vasishth, S., Baayen, H., & Bates, D. (2017). Balancing Type I error and power in linear mixed models. Journal of Memory and Language, 94, 305–315.
Matzke, D., & Wagenmakers, E.-J. (2009). Psychological interpretation of the ex-Gaussian and shifted Wald parameters: A diffusion model analysis. Psychonomic Bulletin & Review, 16(5), 798–817.
McDonald, S., & Brew, C. (2002). A distributional model of semantic context effects in lexical processing. Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, 17–24.
Mendes, P. S., & Undorf, M. (2021). On the pervasive effect of word frequency in metamemory. Quarterly Journal of Experimental Psychology, 17470218211053329.
Miceli, A., Wauthia, E., Lefebvre, L., Ris, L., & Simoes Loureiro, I. (2021). Perceptual and interoceptive strength norms for 270 french words. Frontiers in Psychology, 12.
Miceli, A., Wauthia, E., Lefebvre, L., Vallet, G. T., Ris, L., & Loureiro, I. S. (2022). Differences related to aging in sensorimotor knowledge: Investigation of perceptual strength and body object interaction. Archives of Gerontology and Geriatrics, 102, 104715.
Michaelov, J. A., Coulson, S., & Bergen, B. K. (2022). So cloze yet so far: N400 amplitude is better predicted by distributional information than human predictability judgements. IEEE Transactions on Cognitive and Developmental Systems, 1–1.
Michel, C. (2021). Overcoming the modal/amodal dichotomy of concepts. Phenomenology and the Cognitive Sciences, 20(4), 655–677.
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space (Version 3). arXiv.
Milek, A., Butler, E. A., Tackman, A. M., Kaplan, D. M., Raison, C. L., Sbarra, D. A., Vazire, S., & Mehl, M. R. (2018). Eavesdropping on happiness” revisited: A pooled, multisample replication of the association between life satisfaction and observed daily conversation quantity and quality. Psychological Science, 29(9), 1451–1462.
Milton, F., Fulford, J., Dance, C., Gaddum, J., Heuerman-Williamson, B., Jones, K., Knight, K. F., MacKisack, M., Winlove, C., & Zeman, A. (2021). Behavioral and neural signatures of visual imagery vividness extremes: Aphantasia versus hyperphantasia. Cerebral Cortex Communications, 2(2), 035.
Montero-Melis, G. (2021). Consistency in motion event encoding across languages. Frontiers in Psychology, 12(625153).
Montero-Melis, G., Eisenbeiss, S., Narasimhan, B., Ibarretxe-Antuñano, I., Kita, S., Kopecka, A., Lüpke, F., Nikitina, T., Tragel, I., Jaeger, T. F., & Bohnemeyer, J. (2017). Satellite- vs. Verb-framing underpredicts nonverbal motion categorization: Insights from a large language sample and simulations. Cognitive Semantics, 3(1), 36–61.
Montero-Melis, G., van Paridon, J., Ostarek, M., & Bylund, E. (2022). No evidence for embodiment: The motor system is not needed to keep action verbs in working memory. Cortex, 150, 108–125.
Moran, G. E., Cunningham, J. P., & Blei, D. M. (2022). The posterior predictive null. Bayesian Analysis, 1(1).
Morey, R. D., Kaschak, M. P., Díez-Álamo, A. M., Glenberg, A. M., Zwaan, R. A., Lakens, D., Ibáñez, A., García, A., Gianelli, C., Jones, J. L., Madden, J., Alifano, F., Bergen, B., Bloxsom, N. G., Bub, D. N., Cai, Z. G., Chartier, C. R., Chatterjee, A., Conwell, E., … Ziv-Crispel, N. (2022). A pre-registered, multi-lab non-replication of the action-sentence compatibility effect (ACE). Psychonomic Bulletin & Review, 29(2), 613–626.
Morucci, P., Bottini, R., & Crepaldi, D. (2019). Augmented modality exclusivity norms for concrete and abstract Italian property words. Journal of Cognition, 2(1), 42.
Muraki, E. J., & Pexman, P. M. (2021). Simulating semantics: Are individual differences in motor imagery related to sensorimotor effects in language processing? Journal of Experimental Psychology: Learning, Memory, and Cognition, 47(12), 1939–1957.
Nakagawa, S., Johnson, P. C. D., & Schielzeth, H. (2017). The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded. Journal of The Royal Society Interface, 14(134), 20170213.
Negri, G. A. L., Rumiati, R. I., Zadini, A., Ukmar, M., Mahon, B. Z., & Caramazza, A. (2007). What is the role of motor simulation in action and object recognition? Evidence from apraxia. Cognitive Neuropsychology, 24(8), 795–816.
Nelson, D. L., McEvoy, C. L., & Schreiber, T. A. (2004). The University of South Florida free association, rhyme, and word fragment norms. Behavior Research Methods, Instruments, & Computers, 36(3), 402–407.
Newcombe, P., Campbell, C., Siakaluk, P., & Pexman, P. (2012). Effects of emotional and sensorimotor knowledge in semantic processing of concrete and abstract nouns. Frontiers in Human Neuroscience, 6(275).
Newman, J. (2002). A cross-linguistic overview of the posture verbs “sit,” “stand,” and “lie.” In J. Newman (Ed.), Typological Studies in Language (Vol. 51, pp. 1–24). John Benjamins Publishing Company.
Noah, T., Schul, Y., & Mayo, R. (2018). When both the original study and its failed replication are correct: Feeling observed eliminates the facial-feedback effect. Journal of Personality and Social Psychology, 114, 657–664.
Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349(6251), aac4716.
Ostarek, M., & Bottini, R. (2021). Towards strong inference in research on embodiment – Possibilities and limitations of causal paradigms. Journal of Cognition, 4(1), 5.
Ostarek, M., & Huettig, F. (2017). A task-dependent causal role for low-level visual processes in spoken word comprehension. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(8), 1215–1224.
Ostarek, M., & Huettig, F. (2019). Six challenges for embodiment research. Current Directions in Psychological Science, 28(6), 593–599.
Pacini, A. M., & Barnard, P. J. (2021). Exocentric coding of the mapping between valence and regions of space: Implications for embodied cognition. Acta Psychologica, 214, 103264.
Padó, S., & Lapata, M. (2007). Dependency-based construction of semantic space models. Computational Linguistics, 33(2), 161–199.
Paivio, A. (1990). Mental representations: A dual coding approach. Oxford University Press.
Papeo, L., Negri, G. A. L., Zadini, A., & Ida Rumiati, R. (2010). Action performance and action-word understanding: Evidence of double dissociations in left-damaged patients. Cognitive Neuropsychology, 27(5), 428–461.
Pearson, J., & Kosslyn, S. M. (2015). The heterogeneity of mental representation: Ending the imagery debate. Proceedings of the National Academy of Sciences, 112(33), 10089–10092.
Pecher, D., Zeelenberg, R., & Barsalou, L. W. (2003). Verifying different-modality properties for concepts produces switching costs. Psychological Science, 14(2), 119–124.
Pecher, D., Zeelenberg, R., & Raaijmakers, J. G. W. (1998). Does pizza prime coin? Perceptual priming in lexical decision and pronunciation. Journal of Memory and Language, 38(4), 401–418.
Perfetti, C. A., & Hart, L. (2002). The lexical quality hypothesis. In L. Verhoeven, C. Elbro, & P. Reitsma (Eds.), Studies in Written Language and Literacy (Vol. 11, pp. 189–213). John Benjamins Publishing Company.
Perret, C., & Bonin, P. (2019). Which variables should be controlled for to investigate picture naming in adults? A Bayesian meta-analysis. Behavior Research Methods, 51(6), 2533–2545.
Petilli, M. A., Günther, F., Vergallito, A., Ciapparelli, M., & Marelli, M. (2021). Data-driven computational models reveal perceptual simulation in word processing. Journal of Memory and Language, 117, 104194.
Pexman, P. M., Heard, A., Lloyd, E., & Yap, M. J. (2017). The Calgary semantic decision project: Concrete/abstract decision data for 10,000 English words. Behavior Research Methods, 49(2), 407–417.
Pexman, P. M., & Yap, M. J. (2018). Individual differences in semantic processing: Insights from the Calgary semantic decision project. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(7), 1091–1112.
Planchuelo, C., Buades-Sitjar, F., Hinojosa, J. A., & Duñabeitia, J. A. (2022). The Nature of Word Associations in Sentence Contexts. Experimental Psychology.
Plaut, D. C., & Booth, J. R. (2000). Individual and developmental differences in semantic priming: Empirical and computational support for a single-mechanism account of lexical processing. Psychological Review, 107(4), 786–823.
Ponari, M., Norbury, C. F., Rotaru, A., Lenci, A., & Vigliocco, G. (2018). Learning abstract words and concepts: Insights from developmental language disorder. Philosophical Transactions of the Royal Society B: Biological Sciences, 373, 20170140.
Ponari, M., Norbury, C. F., & Vigliocco, G. (2018). Acquisition of abstract concepts is influenced by emotional valence. Developmental Science, 21(2), 12549.
Ponari, M., Norbury, C. F., & Vigliocco, G. (2020). The role of emotional valence in learning novel abstract concepts. Developmental Psychology, 56(10), 1855–1865.
Pregla, D., Lissón, P., Vasishth, S., Burchert, F., & Stadie, N. (2021). Variability in sentence comprehension in aphasia in German. Brain and Language, 222, 105008.
Pulvermüller, F. (1999). Words in the brain’s language. Behavioral and Brain Sciences, 22, 253–336.
Pulvermüller, F. (2013). How neurons make meaning: Brain mechanisms for embodied and abstract-symbolic semantics. Trends in Cognitive Sciences, 17(9), 458–470.
Pylyshyn, Z. W. (1973). What the mind’s eye tells the mind’s brain: A critique of mental imagery. Psychological Bulletin, 80(1), 1–24.
R Core Team. (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing.
Ratcliff, R., Thapar, A., & McKoon, G. (2010). Individual differences, aging, and IQ in two-choice tasks. Cognitive Psychology, 60, 127–157.
Reggin, L. D., Muraki, E. J., & Pexman, P. M. (2021). Development of abstract word knowledge. Frontiers in Psychology, 12, 2115.
Reilly, J., Flurie, M., & Peelle, J. E. (2020). The English lexicon mirrors functional brain activation for a sensory hierarchy dominated by vision and audition: Point-counterpoint. Journal of Neurolinguistics, 55, 100895.
Riccardi, N., Yourganov, G., Rorden, C., Fridriksson, J., & Desai, R. H. (2019). Dissociating action and abstract verb comprehension post-stroke. Cortex, 120, 131–146.
Roads, B. D., & Love, B. C. (2020). Learning as the unsupervised alignment of conceptual systems. Nature Machine Intelligence, 2(1, 1), 76–82.
Rodríguez-Ferreiro, J., Aguilera, M., & Davies, R. (2020). Semantic priming and schizotypal personality: Reassessing the link between thought disorder and enhanced spreading of semantic activation. PeerJ, 8, e9511.
Rommers, J., Meyer, A. S., & Huettig, F. (2013). Object shape and orientation do not routinely influence performance during language processing. Psychological Science, 24(11), 2218–2225.
Roque, L. S., Kendrick, K. H., Norcliffe, E., Brown, P., Defina, R., Dingemanse, M., Dirksmeyer, T., Enfield, N. J., Floyd, S., Hammond, J., Rossi, G., Tufvesson, S., Putten, S. van, & Majid, A. (2015). Vision verbs dominate in conversation across cultures, but the ranking of non-visual verbs varies. Cognitive Linguistics, 26(1), 31–60.
Rosch, E. (1975a). Cognitive representations of semantic categories. Journal of Experimental Psychology: General, 104, 192–233.
Rosch, E. (1975b). Reply to Loftus. Journal of Experimental Psychology: General, 104, 241–243.
Rouder, J. N., & Haaf, J. M. (2019). A psychometrics of individual differences in experimental tasks. Psychonomic Bulletin & Review, 26(2), 452–467.
Rouder, J. N., Haaf, J. M., & Vandekerckhove, J. (2018). Bayesian inference for psychology, part IV: Parameter estimation and Bayes factors. Psychonomic Bulletin & Review, 25(1), 102–113.
Santos, A., Chaigneau, S. E., Simmons, W. K., & Barsalou, L. W. (2011). Property generation reflects word association and situated simulation. Language and Cognition, 3(1), 83–119.
Sassenhagen, J., & Alday, P. M. (2016). A common misapplication of statistical inference: Nuisance control with null-hypothesis significance tests. Brain and Language, 162, 42–45.
Sato, M., Mengarelli, M., Riggio, L., Gallese, V., & Buccino, G. (2008). Task related modulation of the motor system during language processing. Brain and Language, 105(2), 83–90.
Schielzeth, H., Dingemanse, N. J., Nakagawa, S., Westneat, D. F., Allegue, H., Teplitsky, C., Réale, D., Dochtermann, N. A., Garamszegi, L. Z., & Araya‐Ajoy, Y. G. (2020). Robustness of linear mixed‐effects models to violations of distributional assumptions. Methods in Ecology and Evolution, 11(9), 1141–1152.
Schloerke, B., Cook, D., Larmarange, J., Briatte, F., Marbach, M., Thoen, E., Elberg, A., & Crowley, J. (2021). GGally: Extension to ’ggplot2’.
Schmalz, X., Biurrun Manresa, J., & Zhang, L. (2021). What is a Bayes factor? Psychological Methods.
Schmidtke, D., Van Dyke, J. A., & Kuperman, V. (2018). Individual variability in the semantic processing of English compound words. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(3), 421–439.
Schoot, R. van de, Depaoli, S., Gelman, A., King, R., Kramer, B., Märtens, K., Tadesse, M. G., Vannucci, M., Willemsen, J., & Yau, C. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers, 1, 3.
Schreuder, R., Flores d’Arcais, G. B., & Glazenborg, G. (1984). Effects of perceptual and conceptual similarity in semantic priming. Psychological Research, 45(4), 339–354.
Shebani, Z., Nestor, P. J., & Pulvermüller, F. (2021). What’s “up”? Impaired spatial preposition processing in posterior cortical atrophy. Frontiers in Human Neuroscience, 15, 718.
Shebani, Z., & Pulvermüller, F. (2018). Flexibility in Language Action Interaction: The Influence of Movement Type. Frontiers in Human Neuroscience, 12.
Simmons, W. K., Hamann, S. B., Harenski, C. L., Hu, X. P., & Barsalou, L. W. (2008). fMRI evidence for word association and situated simulation in conceptual processing. Journal of Physiology-Paris, 102(1), 106–119.
Simmons, W. K., Ramjee, V., Beauchamp, M. S., McRae, K., Martin, A., & Barsalou, L. W. (2007). A common neural substrate for perceiving and knowing about color. Neuropsychologia, 45(12), 2802–2810.
Singmann, H., Bolker, B., Westfall, J., Aust, F., & Ben-Shachar, M. S. (2021). afex: Analysis of factorial experiments.
Singmann, H., & Kellen, D. (2019). An introduction to mixed models for experimental psychology. In D. H. Spieler & E. Schumacher (Eds.), New methods in cognitive psychology (pp. 4–31). Psychology Press.
Skeide, M. A., & Friederici, A. D. (2016). The ontogeny of the cortical language network. Nature Reviews Neuroscience, 17(5, 5), 323–332.
Sleegers, W. W. A., Proulx, T., & van Beest, I. (2021). Pupillometry and hindsight bias: Physiological arousal predicts compensatory behavior. Social Psychological and Personality Science, 12(7), 1146–1154.
Snefjella, B., & Blank, I. (2020). Semantic norm extrapolation is a missing data problem. PsyArXiv.
Solovyev, V. (2021). Concreteness/abstractness concept: State of the art. In B. M. Velichkovsky, P. M. Balaban, & V. L. Ushakov (Eds.), Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics (pp. 275–283). Springer International Publishing.
Speed, L. J., & Brybaert, M. (2021). Dutch sensory modality norms. Behavior Research Methods.
Speed, L. J., & Majid, A. (2020). Grounding language in the neglected senses of touch, taste, and smell. Cognitive Neuropsychology, 37(5-6), 363–392.
Speed, L. J., van Dam, W. O., Hirath, P., Vigliocco, G., & Desai, R. H. (2017). Impaired comprehension of speed verbs in parkinson’s disease. Journal of the International Neuropsychological Society, 23(5), 412–420.
Stanfield, R. A., & Zwaan, R. A. (2001). The effect of implied orientation derived from verbal context on picture recognition. Psychological Science, 12(2), 153–156.
Stasenko, A., Garcea, F. E., Dombovy, M., & Mahon, B. Z. (2014). When concepts lose their color: A case of object-color knowledge impairment. Cortex, 58, 217–238.
Stone, K., Malsburg, T. von der, & Vasishth, S. (2020). The effect of decay and lexical uncertainty on processing long-distance dependencies in reading. PeerJ, 8, e10438.
Stone, K., Veríssimo, J., Schad, D. J., Oltrogge, E., Vasishth, S., & Lago, S. (2021). The interaction of grammatically distinct agreement dependencies in predictive processing. Language, Cognition and Neuroscience, 36(9), 1159–1179.
Suárez, L., Tan, S. H., Yap, M. J., & Goh, W. D. (2011). Observing neighborhood effects without neighbors. Psychonomic Bulletin & Review, 18(3), 605–611.
Tendeiro, J. N., & Kiers, H. A. L. (2019). A review of issues about null hypothesis Bayesian testing. Psychological Methods, 24(6), 774–795.
Tendeiro, J. N., & Kiers, H. A. L. (in press). On the white, the black, and the many shades of gray in between: Our reply to van Ravenzwaaij and Wagenmakers (2021). Psychological Methods.
Tillman, R., Hutchinson, S., & Louwerse, M. M. (2015). How sharp is Occam’s razor? Language statistics in cognitive processing. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society (pp. 2404–2409). Cognitive Science Society.
Tiokhin, L., Yan, M., & Morgan, T. J. H. (2021). Competition for priority harms the reliability of science, but reforms can help. Nature Human Behaviour, 5(7, 7), 857–867.
Troche, J., Crutch, S. J., & Reilly, J. (2017). Defining a conceptual topography of word concreteness: Clustering properties of emotion, sensation, and magnitude among 750 English words. Frontiers in Psychology, 8, 1787.
Trumpp, N. M., Traub, F., & Kiefer, M. (2013). Masked priming of conceptual features reveals differential brain activation during unconscious access to conceptual action and sound information. PLOS ONE, 8(5), e65910.
Tulving, E. (2007). Are there 256 different kinds of memory? The Foundations of Remembering: Essays in Honor of Henry L. Roediger, III., 39–52.
Tversky, A., & Kahneman, D. (1971). Belief in the law of small numbers. Psychological Bulletin, 76(2), 105–110.
Ullman, M. T., Miranda, R. A., & Travers, M. L. (2008). Sex differences in the neurocognition of language. In J. B. Becker, K. J. Berkley, N. Geary, E. Hampson, J. Herman, & E. Young (Eds.), Sex on the brain: From genes to behavior (pp. 291–309). Oxford University Press.
Uttl, B. (2002). North American Adult Reading Test: Age norms, reliability, and validity. Journal of Clinical and Experimental Neuropsychology, 24(8), 1123–1137.
van Ravenzwaaij, D., van der Maas, H. L. J., & Wagenmakers, E.-J. (2012). Optimal decision making in neural inhibition models. Psychological Review, 119(1), 201–215.
van Ravenzwaaij, D., & Wagenmakers, E.-J. (2021). Advantages masquerading as “issues” in Bayesian hypothesis testing: A commentary on Tendeiro and Kiers (2019). Psychological Methods.
Vannuscorps, G., Dricot, L., & Pillon, A. (2016). Persistent sparing of action conceptual processing in spite of increasing disorders of action production: A case against motor embodiment of action concepts. Cognitive Neuropsychology, 33(3-4), 191–219.
Vasishth, S., & Gelman, A. (2021). How to embrace variation and accept uncertainty in linguistic and psycholinguistic data analysis. Linguistics, 59(5), 1311–1342.
Vasishth, S., Mertzen, D., Jäger, L. A., & Gelman, A. (2018). The statistical significance filter leads to overoptimistic expectations of replicability. Journal of Memory and Language, 103, 151–175.
Vasishth, S., Nicenboim, B., Beckman, M. E., Li, F., & Kong, E. J. (2018). Bayesian data analysis in the phonetic sciences: A tutorial introduction. Journal of Phonetics, 71, 147–161.
Vehtari, A., Gelman, A., Simpson, D., Carpenter, B., & Burkner, P.-C. (2021). Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC. Bayesian Analysis, 16(2), 667–718.
Vergallito, A., Petilli, M. A., & Marelli, M. (2020). Perceptual modality norms for 1,121 Italian words: A comparison with concreteness and imageability scores and an analysis of their impact in word processing tasks. Behavior Research Methods, 52(4), 1599–1616.
Verkerk, A. (2014). The correlation between motion event encoding and path verb lexicon size in the Indo-European language family. Folia Linguistica, 48, 307–358.
Versace, R., Bailloud, N., Magnan, A., & Ecalle, J. (2021). The impact of embodied simulation in vocabulary learning. The Mental Lexicon, 16(1), 2–22.
Vigliocco, G., Kousta, S.-T., Della Rosa, P. A., Vinson, D. P., Tettamanti, M., Devlin, J. T., & Cappa, S. F. (2014). The neural representation of abstract words: The role of emotion. Cerebral Cortex, 7(24), 1767–1777.
Vigliocco, G., Meteyard, L., Andrews, M., & Kousta, S. (2009). Toward a theory of semantic representation. 1(2), 219–247.
Vigliocco, G., Ponari, M., & Norbury, C. (2018). Learning and processing abstract words and concepts: Insights from typical and atypical development. Topics in Cognitive Science, 10, 533–549.
Villalonga, M. B., Sussman, R. F., & Sekuler, R. (2021). Perceptual timing precision with vibrotactile, auditory, and multisensory stimuli. Attention, Perception, & Psychophysics, 83(5), 2267–2280.
Vitale, F., Monti, I., Padrón, I., Avenanti, A., & de Vega, M. (2021). The neural inhibition network is causally involved in the disembodiment effect of linguistic negation. Cortex.
von der Malsburg, T., & Angele, B. (2017). False positives and other statistical errors in standard analyses of eye movements in reading. Journal of Memory and Language, 94, 119–133.
Vukovic, N., Feurra, M., Shpektor, A., Myachykov, A., & Shtyrov, Y. (2017). Primary motor cortex functionally contributes to language comprehension: An online rTMS study. Neuropsychologia, 96, 222–229.
Vukovic, N., & Williams, J. N. (2015). Individual differences in spatial cognition influence mental simulation of language. Cognition, 142, 110–122.
Wagenmakers, E.-J., Beek, T., Dijkhoff, L., Gronau, Q. F., Acosta, A., Adams, R. B., Albohn, D. N., Allard, E. S., Benning, S. D., Blouin-Hudon, E.-M., Bulnes, L. C., Caldwell, T. L., Calin-Jageman, R. J., Capaldi, C. A., Carfagno, N. S., Chasten, K. T., Cleeremans, A., Connell, L., DeCicco, J. M., … Zwaan, R. A. (2016). Registered Replication Report: Strack, Martin, & Stepper (1988). Perspectives on Psychological Science, 11(6), 917–928.
Wagenmakers, E.-J., Sarafoglou, A., & Aczel, B. (2022). One statistical analysis must not rule them all. Nature, 605(7910), 423–425.
Wallentin, M. (2020). Chapter 6 - Gender differences in language are small but matter for disorders. In R. Lanzenberger, G. S. Kranz, & I. Savic (Eds.), Handbook of Clinical Neurology (Vol. 175, pp. 81–102). Elsevier.
Wang, J., Conder, J. A., Blitzer, D. N., & Shinkareva, S. V. (2010). Neural representation of abstract and concrete concepts: A meta-analysis of neuroimaging studies. Human Brain Mapping, 31(10), 1459–1468.
Wang, X., Li, G., Zhao, G., Li, Y., Wang, B., Lin, C.-P., Liu, X., & Bi, Y. (2021). Social and emotion dimensional organizations in the abstract semantic space: The neuropsychological evidence. Scientific Reports, 11(1, 1), 23572.
Weiss, D. A. (2022). apa7’ – Format documents in APA style (7th Edition). CTAN.
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T. L., Miller, E., Bache, S. M., Müller, K., Ooms, J., Robinson, D., Seidel, D. P., Spinu, V., … Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686.
Willems, R. M., & Casasanto, D. (2011). Flexibility in Embodied Language Understanding. Frontiers in Psychology, 0.
Williams, L. E. (2014). Improving psychological science requires theory, data, and caution: Reflections on Lynott et al. (2014). Social Psychology, 45(4), 321–323.
Wingfield, C., & Connell, L. (2022a). Sensorimotor distance: A grounded measure of semantic similarity for 800 million concept pairs. Behavior Research Methods.
Wingfield, C., & Connell, L. (2022b). Understanding the role of linguistic distributional knowledge in cognition. Language, Cognition and Neuroscience, 1–51.
Winter, B., Perlman, M., & Majid, A. (2018). Vision dominates in perceptual language: English sensory vocabulary is optimized for usage. Cognition, 179, 213–220.
Woodcock, R. W., McGrew, K. S., & Mather, N. (2001). Woodcock Johnson III tests of cognitive abilities. Riverside Publishing.
Xie, Y., Dervieux, C., & Riederer, E. (2020). R markdown cookbook. Chapman; Hall/CRC.
Yap, M. J., & Balota, D. A. (2009). Visual word recognition of multisyllabic words. Journal of Memory and Language, 60(4), 502–529.
Yap, M. J., Balota, D. A., Sibley, D. E., & Ratcliff, R. (2012). Individual differences in visual word recognition: Insights from the English Lexicon Project. Journal of Experimental Psychology: Human Perception and Performance, 38, 1, 53–79.
Yap, M. J., Balota, D. A., & Tan, S. E. (2013). Additive and interactive effects in semantic priming: Isolating lexical and decision processes in the lexical decision task. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39(1), 140–158.
Yap, M. J., Hutchison, K. A., & Tan, L. C. (2017). Individual differences in semantic priming performance: Insights from the semantic priming project. In M. N. Jones (Ed.), Frontiers of cognitive psychology. Big data in cognitive science (pp. 203–226). Routledge/Taylor & Francis Group.
Yap, M. J., Tse, C.-S., & Balota, D. A. (2009). Individual differences in the joint effects of semantic priming and word frequency revealed by RT distributional analyses: The role of lexical integrity. Journal of Memory and Language, 61(3), 303–325.
Yarkoni, T., Balota, D., & Yap, M. J. (2008). Moving beyond Coltheart’s N: A new measure of orthographic similarity. Psychonomic Bulletin & Review, 15(5), 971–979.
Yee, E., Ahmed, S. Z., & Thompson-Schill, S. L. (2012). Colorless green ideas (can) prime furiously. Psychological Science, 23(4), 364–369.
Yee, E., Huffstetler, S., & Thompson-Schill, S. L. (2011). Function follows form: Activation of shape and function features during object identification. Journal of Experimental Psychology: General, 140(3), 348–363.
Zeman, A., Milton, F., Della Sala, S., Dewar, M., Frayling, T., Gaddum, J., Hattersley, A., Heuerman-Williamson, B., Jones, K., & MacKisack, M. (2020). Phantasia—the psychological significance of lifelong visual imagery vividness extremes. Cortex, 130, 426–440.
Zhong, Y., Wan, M., Ahrens, K., & Huang, C.-R. (2022). Sensorimotor norms for Chinese nouns and their relationship with orthographic and semantic variables. Language, Cognition and Neuroscience, 0(0), 1–23.
Zwaan, R. A. (2014). Replications should be performed with power and precision: A response to Rommers, Meyer, and Huettig (2013). Psychological Science, 25(1), 305–307.
Zwaan, R. A. (2021). Two challenges to “embodied cognition” research and how to overcome them. Journal of Cognition, 4(1, 1), 14.
Zwaan, R. A., & Pecher, D. (2012). Revisiting Mental Simulation in Language Comprehension: Six Replication Attempts. PLoS ONE, 7(12), e51382.

Pablo Bernabeu, 2022. Licence: CC BY 4.0.

Online book created using the R package bookdown.