Memory and Executive Functions Subserving Judgments of Learning: Cognitive Reorganization After Traumatic Brain Injury

References

• Benedictus, M. R., Spikman, J. M., & van der Naalt, J. (2010). Cognitive and behavioral impairment in traumatic brain injury related to outcome and return to work. Archives of Physical Medicine and Rehabilitation, 91(9), 1436–1441. https://doi.org/10.1016/j.apmr.2010.06.019
   PubMed Web of Science ®Google Scholar
• Bright, P., Jaldow, E., & Kopelman, M. D. (2002). The National Adult Reading test as a measure of premorbid intelligence: A comparison with estimates derived from demographic variables. Journal of the International Neuropsychological Society, 8(6), 847–854. https://doi.org/10.1017/S1355617702860131
   PubMed Web of Science ®Google Scholar
• Cohen, J., & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences. Taylor & Francis.
   Google Scholar
• Crawford, J. R., Sutherland, D., & Garthwaite, P. H. (2008). On the reliability and standard errors of measurement of contrast measures from the D-KEFS. Journal of the International Neuropsychological Society, 14(6), 1069–1073. https://doi.org/10.1017/S1355617708081228
   PubMed Web of Science ®Google Scholar
• Delis, D. C., Kaplan, E., & Kramer, J. H. (2001). Delis-Kaplan executive function system: Examiner’s manual. The Psychological Corporation.
   Google Scholar
• Delis, D., Kramer, J. H., Kaplan, E., & Ober, B. A. (2000). California Verbal Learning Test – second edition. Adult version. Manual. Psychological Corporation.
   Google Scholar
• Dikmen, S. S., Machamer, J. E., Powell, J. M., & Temkin, N. R. (2003). Outcome 3 to 5 years after moderate to severe traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 84(10), 1449–1457. https://doi.org/10.1016/S0003-9993(03)00287-9
   PubMed Web of Science ®Google Scholar
• Dunlosky, J., & Metcalfe, J. (2008). Metacognition (1st ed.). SAGE Publications, Inc.
   Google Scholar
• Dunlosky, J., Mueller, M. L., & Tauber, S. (2014). The contribution of processing fluency (and beliefs) to people’s judgments of learning. In Remembering (pp. 70–88). Psychology Press. https://doi.org/10.4324/9781315752808-12
   Google Scholar
• Dunlosky, J., & Nelson, T. O. (1992). Importance of the kind of cue for judgments of learning (JOL) and the delayed-JOL effect. Memory & Cognition, 20(4), 374–380. https://doi.org/10.3758/BF03210921
   PubMed Web of Science ®Google Scholar
• Dunlosky, J., & Nelson, T. O. (1997). Similarity between the cue for Judgments of Learning (JOL) and the cue for test is not the primary determinant of JOL accuracy. Journal of Memory and Language, 36(1), 34–49. https://doi.org/10.1006/jmla.1996.2476
   Web of Science ®Google Scholar
• Friedman, J., Hastie, T., & Tibshirani, R. (2010). Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software, 33(1), 1–22. https://doi.org/10.18637/jss.v033.i01
   PubMed Web of Science ®Google Scholar
• Haugrud, N., Lanting, S., & Crossley, M. (2010). The effects of age, sex and Alzheimer’s disease on strategy use during verbal fluency tasks. Aging, Neuropsychology, and Cognition, 17(2), 220–239. https://doi.org/10.1080/13825580903042700
   PubMed Web of Science ®Google Scholar
• Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6(2), 65–70.
   Web of Science ®Google Scholar
• Kennedy, M. R. T., Carney, E., & Peters, S. M. (2003). Predictions of recall and study strategy decisions after diffuse brain injury. Brain Injury, 17(12), 1043–1064. https://doi.org/10.1080/0269905031000110436
   PubMed Web of Science ®Google Scholar
• Kennedy, M. R. T., & Nawrocki, M. D. (2003). Delayed predictive accuracy of narrative recall after traumatic brain injury: Salience and explicitness. Journal of Speech, Language, and Hearing Research, 46(1), 98–112. https://doi.org/10.1044/1092-4388(2003/008)
   PubMed Web of Science ®Google Scholar
• Kennedy, M. R., & Yorkston, K. M. (2000). Accuracy of metamemory after traumatic brain injury: Predictions during verbal learning. Journal of Speech, Language, and Hearing Research: JSLHR, 43(5), 1072–1086. https://doi.org/10.1044/jslhr.4305.1072
   PubMed Web of Science ®Google Scholar
• Kennedy, M. R. T., & Yorkston, K. M. (2004). The effects of frontal injury on “on-line” self-monitoring during verbal learning by adults with diffuse brain injury. Neuropsychological Rehabilitation, 14(4), 449–465. https://doi.org/10.1080/09602010443000038
   Web of Science ®Google Scholar
• Kertesz, A. (2007). Western Aphasia battery–revised. The Psychological Corporation.
   Google Scholar
• Koriat, A. (1997). Monitoring one’s own knowledge during study: A cue-utilization approach to judgments of learning. Journal of Experimental Psychology: General, 126(4), 349–370. https://doi.org/10.1037/0096-3445.126.4.349
   Web of Science ®Google Scholar
• Kučera, H., & Francis, W. N. (1967). Computational analysis of present-day American English. Providence, Brown University Press. http://archive.org/details/computationalana00kuce
   Google Scholar
• Kyung, M., Gill, J., Ghosh, M., & Casella, G. (2010). Penalized regression, standard errors, and Bayesian lassos. Bayesian Analysis, 5(2), 369–411. https://doi.org/10.1214/10-BA607
   Web of Science ®Google Scholar
• Laham, D. (1998). Latent Semantic Analysis, pairwise comparison feature. http://lsa.colorado.edu/
   Google Scholar
• Levine, B., Cabeza, R., McIntosh, A. R., Black, S. E., Grady, C. L., & Stuss, D. T. (2002). Functional reorganisation of memory after traumatic brain injury: A study with H2150 positron emission tomography. Journal of Neurology, Neurosurgery, and Psychiatry, 73(2), 173–181. https://doi.org/10.1136/jnnp.73.2.173
   PubMed Web of Science ®Google Scholar
• Metcalfe, J., & Finn, B. (2008). Evidence that judgments of learning are causally related to study choice. Psychonomic Bulletin & Review, 15(1), 174–179. https://doi.org/10.3758/PBR.15.1.174
   PubMed Web of Science ®Google Scholar
• Nelson, T. O. (1984). A comparison of current measures of the accuracy of feeling-of-knowing predictions. Psychological Bulletin, 95(1), 109–133. https://doi.org/10.1037/0033-2909.95.1.109
   PubMed Web of Science ®Google Scholar
• Nelson, T. O., & Dunlosky, J. (1991). When people’s Judgments of Learning (JOLs) are extremely accurate at predicting subsequent recall: The “delayed-JOL effect.”. Psychological Science, 2(4), 267–271. https://doi.org/10.1111/j.1467-9280.1991.tb00147.x
   Web of Science ®Google Scholar
• Nelson, T. O., & Narens, L. (1990). Metamemory: A theoretical framework and new findings. In Psychology of Learning and motivation (Vol. 26, pp. 125–173). Elsevier. https://doi.org/10.1016/S0079-7421(08)60053-5
   Google Scholar
• Nelson, T. O., Narens, L., & Dunlosky, J. (2004). A revised methodology for research on metamemory: Pre-judgment recall and monitoring (PRAM). Psychological Methods, 9(1), 53–69. https://doi.org/10.1037/1082-989X.9.1.53
   PubMed Web of Science ®Google Scholar
• Niemeier, J. P., Marwitz, J. H., Lesher, K., Walker, W. C., & Bushnik, T. (2007). Gender differences in executive functions following traumatic brain injury. Neuropsychological Rehabilitation, 17(3), 293–313. https://doi.org/10.1080/09602010600814729
   PubMed Web of Science ®Google Scholar
• Osborne, J., & Costello, A. (2019). Sample size and subject to item ratio in principal components analysis. Practical Assessment, Research, and Evaluation, 9(1). https://doi.org/10.7275/ktzq-jq66
   Google Scholar
• Ownsworth, T., & McKenna, K. (2004). Investigation of factors related to employment outcome following traumatic brain injury: A critical review and conceptual model. Disability and Rehabilitation, 26(13), 765–783. https://doi.org/10.1080/09638280410001696700
   PubMed Web of Science ®Google Scholar
• Ramanathan, P., Kennedy, M. R. T., & Marsolek, C. J. (2014). Implicit memory influences on metamemory during verbal learning after traumatic brain injury. Journal of Speech, Language, and Hearing Research, 57(5), 1817–1830. https://doi.org/10.1044/2014_JSLHR-L-13-0204
   PubMed Web of Science ®Google Scholar
• Rhodes, M. G., & Tauber, S. K. (2011). The influence of delaying judgments of learning on metacognitive accuracy: A meta-analytic review. Psychological Bulletin, 137(1), 131–148. https://doi.org/10.1037/a0021705
   PubMed Web of Science ®Google Scholar
• Robertson, K., & Schmitter-Edgecombe, M. (2015). Self-awareness and traumatic brain injury outcome. Brain Injury, 29(7–8), 848–858. https://doi.org/10.3109/02699052.2015.1005135
   PubMed Web of Science ®Google Scholar
• SAS Institute Inc. (2016). SAS 9.4 SQL procedure user’s guide (4th ed.). SAS Institute.
   Google Scholar
• Schneider, W., Eschman, A., & Zuccolotto, A. (2002). E-Prime user’s guide. Psychology Software Tools, Inc.
   Google Scholar
• Shaked, D., Farrell, M., Huey, E., Metcalfe, J., Cines, S., Karlawish, J., Sullo, E., & Cosentino, S. (2014). Cognitive correlates of metamemory in Alzheimer’s disease. Neuropsychology, 28(5), 695–705. https://doi.org/10.1037/neu0000078
   PubMed Web of Science ®Google Scholar
• Sigurdardottir, S., Andelic, N., Wehling, E., Anke, A., Skandsen, T., Holthe, O. O., Manskow, U. S., & Roe, C. (2020). Return to work after severe traumatic brain injury: A national study with a one-year follow-up of neurocognitive and behavioural outcomes. Neuropsychological Rehabilitation, 30(2), 281–297. https://doi.org/10.1080/09602011.2018.1462719
   PubMed Web of Science ®Google Scholar
• Son, L. K., & Metcalfe, J. (2005). Judgments of learning: Evidence for a two-stage process. Memory & Cognition, 33(6), 1116–1129. https://doi.org/10.3758/BF03193217
   PubMed Web of Science ®Google Scholar
• Souchay, C., Isingrini, M., Clarys, D., Taconnat, L., & Eustache, F. (2004). Executive functioning and judgment-of-learning versus feeling-of-Knowing in older adults. Experimental Aging Research, 30(1), 47–62. https://doi.org/10.1080/03610730490251478
   PubMed Web of Science ®Google Scholar
• Spellman, B. A., & Bjork, R. A. (1992). When predictions create reality: Judgments of Learning may alter what they are intended to assess. Psychological Science, 3(5), 315–317. https://doi.org/10.1111/j.1467-9280.1992.tb00680.x
   Web of Science ®Google Scholar
• Spitz, G., Ponsford, J., Rudzki, D., & Maller, J. (2012). Association between cognitive performance and functional outcome following traumatic brain injury: A longitudinal multilevel examination. Neuropsychology, 26(5), 604–612. https://doi.org/10.1037/a0029239
   PubMed Web of Science ®Google Scholar
• Stein, S. C., & Spettell, C. (1995). The head injury severity scale (HISS): A practical classification of closed-head injury. Brain Injury, 9(5), 437–444. https://doi.org/10.3109/02699059509008203
   PubMed Web of Science ®Google Scholar
• Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th ed.). Harper-Collins.
   Google Scholar
• Thorndike, E. L., & Lorge, I. (1944). The teacher’s word book of 30,000 words. Teachers College, Columbia University.
   Google Scholar
• Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B (Methodological), 58(1), 267–288. https://doi.org/10.1111/j.2517-6161.1996.tb02080.x
   Web of Science ®Google Scholar
• Turner, G. R., McIntosh, A. R., & Levine, B. (2011). Prefrontal compensatory engagement in TBI is due to altered functional engagement of existing networks and not functional reorganization. Frontiers in Systems Neuroscience, 5, 9. https://doi.org/10.3389/fnsys.2011.00009
   PubMedGoogle Scholar
• van Velzen, J. M., van Bennekom, C. A. M., Edelaar, M. J. A., Sluiter, J. K., & Frings-Dresen, M. H. W. (2009). How many people return to work after acquired brain injury?: A systematic review. Brain Injury, 23(6), 473–488. https://doi.org/10.1080/02699050902970737
   PubMed Web of Science ®Google Scholar
• Wechsler, D. (1987). Wechsler Memory scale (3rd ed.). Psychological Corporation.
   Google Scholar
• Zhou, L., Lu, J., & Dong, L. (2017). Age-related differences in metamemory accuracy among the elderly: The effect of declining inhibitory function. Journal of Adult Development, 24(1), 48–57. https://doi.org/10.1007/s10804-016-9246-5
   Web of Science ®Google Scholar