Advertisement

Reading and Writing

, Volume 30, Issue 4, pp 857–869 | Cite as

Validating self-paced sentence-by-sentence reading: story comprehension, recall, and narrative transportation

  • Ashley Chung-Fat-Yim
  • Jordan B. Peterson
  • Raymond A. Mar
Article

Abstract

Previous studies on discourse have employed a self-paced sentence-by-sentence paradigm to present text and record reading times. However, presenting discourse this way does not mirror real-world reading conditions; for example, this paradigm prevents regressions to earlier portions of the text. The purpose of the present study is to investigate the ecological validity of self-paced sentence-by-sentence presentations by comparing it to normal page reading with respect to comprehension, recall, and narrative transportation, across two time points (immediate and delayed). Bayesian analyses found greater evidence in favor of the null hypothesis for transportation, indicating that little difference likely exists between sentence-by-sentence presentations and normal reading for this outcome. Weak evidence supporting the alternative hypothesis was found for immediate comprehension and recall, with participants who read the story as isolated sentences scoring marginally higher. Altogether, these results validate the self-paced sentence-by-sentence paradigm for measuring reading times, uncovering few differences in outcomes relative to natural reading.

Keywords

Text presentation Reading comprehension Recall Narrative transportation 

Notes

Acknowledgments

We thank Ruchika Knowles, Adrienne Lee, Julie Valenzano, and Taras Babyuk for their assistance with data collection and coding.

Supplementary material

11145_2016_9704_MOESM1_ESM.docx (46 kb)
Supplementary material 1 (DOCX 45 kb)

References

  1. Abbott, M. J., & Staub, A. (2015). The effect of plausibility on eye movements in reading: Testing E-Z Reader’s null predictions. Journal of Memory and Language, 85, 76–87. doi: 10.1016/j.jml.2015.07.002.CrossRefGoogle Scholar
  2. Appel, M., & Mara, M. (2013). The persuasive influence of a fictional character’s trustworthiness. Journal of Communication, 63(5), 912–932. doi: 10.1111/jcom.12053.Google Scholar
  3. Baccino, T., & Pynte, J. (1998). Spatial encoding and referential processing during reading. European Psychologist, 3(1), 51–61. doi: 10.1027/1016-9040.3.1.51.Google Scholar
  4. Busselle, R., & Bilandzic, H. (2009). Measuring narrative engagement. Media Psychology, 12(4), 321–347. doi: 10.1080/15213260903287259.CrossRefGoogle Scholar
  5. Carver, R. (1989). A small, good thing. In Where I’m calling from: Selected stories. New York: Vintage.Google Scholar
  6. Castelhano, M. S., & Muter, P. (2001). Optimizing the reading of electronic text using rapid serial visual presentation. Behaviour and Information Technology, 20(4), 237–247. doi: 10.1080/01449290110069400.CrossRefGoogle Scholar
  7. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New York: Academic Press.Google Scholar
  8. Djikic, M., Oatley, K., Zoeterman, S., & Peterson, J. B. (2009). On being moved by art: How reading fiction transforms the self. Creativity Research Journal, 21(1), 24–29. doi: 10.1080/10400410802633392.CrossRefGoogle Scholar
  9. Escalas, J. E. (2004). Imagine yourself in the product: Mental simulation, narrative transportation, and persuasion. Journal of Advertising, 33(2), 37–48. doi: 10.1080/00913367.2004.10639163.CrossRefGoogle Scholar
  10. Forster, K. I. (1970). Visual perception of rapidly presented word sequences of varying complexity. Perception and Psychophysics, 8(4), 215–221. doi: 10.3758/BF03210208.CrossRefGoogle Scholar
  11. Fraley, R. C., & Marks, M. J. (2007). The null hypothesis significance testing debate and its implications for personality research. In R. W. Robins, R. C. Fraley, & R. F. Krueger (Eds.), Handbook of research methods in personality psychology (pp. 149–169). New York: Guilford.Google Scholar
  12. Gerrig, R. J. (1993). Experiencing narrative worlds. New Haven, CT: Yale University Press.Google Scholar
  13. Gerrig, R. J., Love, J., & McKoon, G. (2009). Waiting for Brandon: How readers respond to small mysteries. Journal of Memory and Language, 60(1), 144–153. doi: 10.1016/j.jml.2008.08.004.CrossRefGoogle Scholar
  14. Gill, J. (2014). Bayesian methods: A social and behavioral sciences approach (3rd ed.). Boca Raton, FL: Chapman and Hall/CRC.Google Scholar
  15. Green, M. C. (2004). Transportation into the narrative worlds: The role of prior knowledge and perceived realism. Discourse Processes, 38(2), 247–266. doi: 10.1207/s15326950dp3802_5.CrossRefGoogle Scholar
  16. Green, M. C., & Brock, T. C. (2000). The role of transportation in the persuasiveness of public narratives. Journal of Personality and Social Psychology, 79(5), 701–721. doi: 10.1037/0022-3514.79.5.701.CrossRefGoogle Scholar
  17. Hannon, B., & Daneman, M. (2001). A new tool for measuring and understanding individual differences in the component processes of reading comprehension. Journal of Educational Psychology, 93(1), 103–128. doi: 10.1037/0022-0663.93.1.103.CrossRefGoogle Scholar
  18. JASP Team. (2016). JASP (Version 0.7.5.5) [Computer software].Google Scholar
  19. Jeffreys, H. (1961). Theory of probability (3rd ed.). New York: Oxford University Press.Google Scholar
  20. John, O. P., & Srivastava, S. (1999). The Big Five trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality (2nd ed., pp. 102–138). New York: Guilford Press.Google Scholar
  21. Juola, J. F., Ward, N. J., & McNamara, T. (1982). Visual search and reading of rapid serial presentations of letter strings, words, and text. Journal of Experimental Psychology: General, 111(2), 208–227. doi: 10.1037/0096-3445.111.2.208.CrossRefGoogle Scholar
  22. Just, M. A., & Carpenter, P. A. (1980). A theory of reading: From eye fixations to comprehension. Psychological Review, 87(4), 329–354. doi: 10.1037/0033-295X.87.4.329.CrossRefGoogle Scholar
  23. Just, M. A., Carpenter, P. A., & Woolley, J. D. (1982). Paradigms and processes in reading comprehension. Journal of Experimental Psychology: General, 111(2), 228–238. doi: 10.1037/0096-3445.111.2.228.CrossRefGoogle Scholar
  24. Kass, R. E., & Raftery, A. E. (1995). Bayes factors. Journal of the American Statistical Association, 90(430), 773–795. doi: 10.2307/2291091.CrossRefGoogle Scholar
  25. Kidd, D. C., & Castano, E. (2013). Reading literary fiction improves theory of mind. Science, 342(6156), 377–380. doi: 10.1126/science.1239918.CrossRefGoogle Scholar
  26. Koopman, E., & Hakemulder, F. (2015). Effects of literature on empathy and self-reflection: A theoretical-empirical framework. Journal of Literary Theory, 9(1), 79–111. doi: 10.1515/jlt-2015-0005.CrossRefGoogle Scholar
  27. Mar, R. A., & Oatley, K. (2008). The function of fiction is the abstraction and simulation of social experience. Perspectives on Psychological Science, 3(3), 173–192. doi: 10.1111/j.1745-6924.2008.00073.x.CrossRefGoogle Scholar
  28. Miall, D. S., & Kuiken, D. (1995). Aspects of literary response: A new questionnaire. Research in the Teaching of English, 29, 37–58.Google Scholar
  29. Öquist, G., & Goldstein, M. (2002). Towards an improved readability on mobile devices: Evaluating adaptive rapid serial visual presentation. Interacting with Computers, 15(4), 539–558. doi: 10.1016/S0953-5438(03)00039-0.CrossRefGoogle Scholar
  30. Panero, M. E., Weisberg, D. S., Black, J., Goldstein, T. R., Barnes, J. L., Brownell, H., et al. (2016). Does reading a single passage of literary fiction really improve theory of mind? An attempt at replication. Journal of Personality and Social Psychology,. doi: 10.1037/pspa0000064.Google Scholar
  31. Potter, M. C. (1984). Rapid serial visual presentation (RSVP): A method for studying language processing. In D. Kieras & M. Just (Eds.), New methods in reading comprehension research (pp. 91–118). Hillsdale, NJ: Erlbaum.Google Scholar
  32. Praxmarer, S. (2011). Message strength and persuasion when consumers imagine product usage. Journal of Consumer Behaviour, 10(4), 225–231. doi: 10.1002/cb.331.CrossRefGoogle Scholar
  33. Prentice, D. A., Gerrig, R. J., & Bailis, D. S. (1997). What readers bring to the processing of fictional texts. Psychonomic Bulletin & Review, 4(3), 416–420. doi: 10.3758/BF03210803.CrossRefGoogle Scholar
  34. Rahman, T., & Muter, P. (1999). Designing an interface to optimize reading with small display windows. Human Factors, 41(1), 106–117. doi: 10.3758/BF03210803.CrossRefGoogle Scholar
  35. Rapp, D. N. (2008). How do readers handle incorrect information during reading? Memory and Cognition, 36(3), 688–710. doi: 10.3758/MC.36.3.688.CrossRefGoogle Scholar
  36. Rapp, D. N., & Taylor, H. A. (2004). Interactive dimensions in the construction of mental representations for text. Journal of Experimental Psychology. Learning, Memory, and Cognition, 30(5), 988–1001. doi: 10.1037/0278-7393.30.5.988.CrossRefGoogle Scholar
  37. Rayner, K., & Pollatsek, A. (1989). The psychology of reading. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
  38. Richter, T., Appel, M., & Calio, F. (2014). Stories can influence the self-concept. Social Influence, 9(3), 172–188. doi: 10.1080/15534510.2013.799099.CrossRefGoogle Scholar
  39. Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009). Bayesian t tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin & Review, 16(2), 225–237. doi: 10.3758/PBR.16.2.225.CrossRefGoogle Scholar
  40. Schmitt, N. (1996). Uses and abuses of coefficient alpha. Psychological Assessment, 8(4), 350–353. doi: 10.1037/1040-3590.8.4.350.CrossRefGoogle Scholar
  41. Schotter, E. R., Tran, R., & Rayner, K. (2014). Don’t believe what you read (only once): Comprehension is supported by regressions during reading. Psychological Science, 25(6), 1218–1226. doi: 10.1177/0956797614531148.CrossRefGoogle Scholar
  42. Stanovich, K. E., & West, R. F. (1989). Exposure to print and orthographic processing. Reading Research Quarterly, 24(4), 402–433. doi: 10.2307/747605.CrossRefGoogle Scholar
  43. van Laer, T., de Ruyter, K., Visconti, L. M., & Wetzels, M. (2014). The extended transportation-imagery model: A meta-analysis of the antecedents and consequences of consumers’ narrative transportation. Journal of Consumer Research, 40(5), 797–817. doi: 10.1086/673383.CrossRefGoogle Scholar
  44. Vitu, F. M., & McConkie, G. W. (2000). Regressive saccades and word perception in adult perception. In A. Kennedy, R. Radach, & J. Pynte (Eds.), Reading as a perceptual process (pp. 89–118). Amsterdam: Elsevier.Google Scholar
  45. Wyer, R. S., Adaval, R., & Colombe, S. J. (2002). Narrative-based representations of social knowledge: Their construction and use in comprehension, memory, and judgment. In M. P. Zanna (Ed.), Advanced in experimental social psychology (Vol. 34, pp. 131–197). New York: Academic Press.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  1. 1.Department of PsychologyYork UniversityTorontoCanada
  2. 2.Department of PsychologyUniversity of TorontoTorontoCanada

Personalised recommendations