References
- Anstey, K., Christensen, H. (2000). Education, activity, health, blood pressure and apolipoprotein E as predictors of cognitive change in old age: A review. Gerontology,46(3), 163–177. https://doi.org/https://doi.org/10.1159/000022153
- Allen, J. S., Bruss, J., Brown, C. K., & Damasio, H. (2005). Normal neuroanatomical variation due to age: The major lobes and a parcellation of the temporal region. Neurobiology of Aging, 26(9), 1245–1260. discussion 1279–1282. https://doi.org/https://doi.org/10.1016/j.neurobiolaging.2005.05.023
- Barlow, R. E., Proschan, F., & Hunter, L. C. (1996). Mathematical theory of reliability. SIAM.
- Berggren, R., Nilsson, J., & Lövdén, M. (2018). Education does not affect cognitive decline in aging: A Bayesian assessment of the association between education and change in cognitive performance. Frontiers in Psychology, 9, 1138. https://doi.org/https://doi.org/10.3389/fpsyg.2018.01138
- Berrigan, L. I., Fisk, J. D., Walker, L. A. S., Wojtowicz, M., Rees, L. M., Freedman, M. S., & Marrie, R. A. (2014). Reliability of regression-based normative data for the oral symbol digit modalities test: An evaluation of demographic influences, construct validity, and impairment classification rates in multiple sclerosis samples. The Clinical Neuropsychologist, 28(2), 281–299. https://doi.org/https://doi.org/10.1080/13854046.2013.871337
- Birolini, A. (1999). Reliability engineering: Theory and practice (7th ed.). Springer.
- Burggraaff, J., Knol, D. L., & Uitdehaag, B. M. J. (2017). Regression-based norms for the symbol digit modalities test in the Dutch population: Improving detection of cognitive impairment in multiple sclerosis? European Neurology, 77(5–6), 246–252. https://doi.org/https://doi.org/10.1159/000464405
- Cummings, D. R. (2007). Validation of the complex figure test planning indexes. Cleveland State University.
- De Santi, S., Pirraglia, E., Barr, W., Babb, J., Williams, S., Rogers, K., Glodzik, L., Brys, M., Mosconi, L., Reisberg, B., Ferris, S., & de Leon, M. J. (2008). Robust and conventional neuropsychological norms: Diagnosis and prediction of age-related cognitive decline. Neuropsychology, 22(4), 469–484. https://doi.org/https://doi.org/10.1037/0894-4105.22.4.469
- Ebeling, C. E. (2009). An introduction to reliability and maintainability engineering. Waveland Pr Inc.
- Fishman, D. M., Yocum, A. A., & Poreh, A. M. (2007). A novel, computer based assessment of non-verbal fluency. Archives of Clinical Neuropsychology, 22(7), 848–848. < Go to ISI>://WOS:000250356800144
- Fodor, J. (1983). The Modularity of Mind. MIT Press.
- Fotenos, A. F., Snyder, A. Z., Girton, L. E., Morris, J. C., & Buckner, R. L. (2005). Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD. Neurology, 64(6), 1032–1039. https://doi.org/https://doi.org/10.1212/01.WNL.0000154530.72969.11
- Goebel, S., Fischer, R., Ferstl, R., & Mehdorn, H. M. (2009). Normative data and psychometric properties for qualitative and quantitative scoring criteria of the Five-Point Test. The Clinical Neuropsychologist, 23(4), 675–690. https://doi.org/https://doi.org/10.1080/13854040802389185
- Goldstein, K. (1942). After effects of brain injuries in war. Grune & Stratton.
- Goodwill, A. M., Campbell, S., Henderson, V. W., Gorelik, A., Dennerstein, L., McClung, M., & Szoeke, C. (2019). Robust norms for neuropsychological tests of verbal episodic memory in Australian women. Neuropsychology, 33(4), 581–595. https://doi.org/https://doi.org/10.1037/neu0000522
- Heaton, R. K., Avitable, N., Grant, I., & Matthews, C. G. (1999). Further crossvalidation of regression-based neuropsychological norms with an update for the Boston Naming Test. Journal of Clinical and Experimental Neuropsychology, 21(4), 572–582. https://doi.org/https://doi.org/10.1076/jcen.21.4.572.882
- Heaton, R. K., Grant, I., & Matthews, C. G. (1991). Comprehensive norms for an expanded Halstead-Reitan Battery: Demographic corrections, research findings, and clinical applications. Psychological Assessment Resources.
- Kaplan, E., Goodglass, H., & Weintraub, S. (1983). Boston Naming Test (Revised). Lea & Febiger.
- Katzman, R. (1993). Education and the prevalence of dementia and Alzheimer's disease. Neurology, 43(1), 13–20. https://doi.org/https://doi.org/10.1212/WNL.43.1_Part_1.13
- Krivenko, A. (2017). Decline of nonverbal executive functions across the lifespan distinguishing between outcome and process. Cleveland State University, Cleveland.
- Lenehan, M. E., Summers, M. J., Saunders, N. L., Summers, J. J., & Vickers, J. C. (2015). Relationship between education and age-related cognitive decline: A review of recent research. Psychogeriatrics, 15(2), 154–162. https://doi.org/https://doi.org/10.1111/psyg.12083
- Luria, A. R. (1980). Higher cortical functions in man (2nd ed., Rev.). Basic Books.
- Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., Cummings, J. L., & Chertkow, H. (2005). The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53(4), 695–699. https://doi.org/https://doi.org/10.1111/j.1532-5415.2005.53221.x
- Parmenter, B. A., Testa, S. M., Schretlen, D. J., Weinstock-Guttman, B., & Benedict, R. H. B. (2010). The utility of regression-based norms in interpreting the minimal assessment of cognitive function in multiple sclerosis (MACFIMS). Journal of the International Neuropsychological Society, 16(1), 6–16. https://doi.org/https://doi.org/10.1017/S1355617709990750
- Poreh, A. (2004). The quantified process scoring system for the Five Point Test (Version 2.0) [Software]. QPSS.
- Poreh, A. (2005). Analysis of mean learning of normal participants on the Rey Auditory-Verbal Learning Test. Psychological Assessment, 17(2), 191–199. https://doi.org/https://doi.org/10.1037/1040-3590.17.2.191
- Poreh, A. M. (2000). The quantified process approach: An emerging methodology to neuropsychological assessment. The Clinical Neuropsychologist, 14(2), 212–222. https://doi.org/https://doi.org/10.1076/1385-4046(200005)14:2;1-Z;FT212
- Poreh, A., & Poreh, M. (2020). Analysis of age-related cognitive functioning using reliability and time to Failure Rate Theory. Psychology & Neuroscience, 13(1), 76–92. https://doi.org/https://doi.org/10.1037/pne0000180
- Poreh, A., Shear, P., Hubley, A. M., Woods, S. P., Cobb, J. S., & Allen, D. N. (2006). The quantified process approach – Moving from research to practice. Clinical Neuropsychologist, 20(3), 576–576.
- Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., Dahle, C., Gerstorf, D., & Acker, J. D. (2005). Regional brain changes in aging healthy adults: General trends, individual differences and modifiers. Cerebral Cortex, 15(11), 1676–1689. https://doi.org/https://doi.org/10.1093/cercor/bhi044
- Regard, M., Strauss, E., & Knapp, P. (1982). Children's production on verbal and non-verbal fluency tasks. Perceptual and Motor Skills, 55(3 Pt 1), 839–844. https://doi.org/https://doi.org/10.2466/pms.1982.55.3.839
- SAS Institute Inc. (2017). SAS Institute Inc.
- Skalla, J. R. (2012). Using the quantified process approach in examination of the Five Point Test. Cleveland State University. http://rave.ohiolink.edu/etdc/view?acc_num=csu1342748977
- Sliwinski, M., Lipton, R. B., Buschke, H., & Stewart, W. (1996). The effects of preclinical dementia on estimates of normal cognitive functioning in aging. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 51(4), P217–P225. https://doi.org/https://doi.org/10.1093/geronb/51B.4.P217
- SPSS Inc. (2018). SPSS (20th ed., pp. 1 computer optical disc).
- Steffener, J., Habeck, C. G., & Stern, Y. (2012). Age-related changes in task related functional network connectivity. PLoS One, 7(9), e44421 https://doi.org/https://doi.org/10.1371/journal.pone.0044421
- Stern, Y. (2009). Cognitive reserve. Neuropsychologia, 47(10), 2015–2028. https://doi.org/https://doi.org/10.1016/j.neuropsychologia.2009.03.004
- Tombaugh, T. N. (2004). Trail Making Test A and B: Normative data stratified by age and education. Archives of Clinical Neuropsychology, 19(2), 203–214. https://doi.org/https://doi.org/10.1016/S0887-6177(03)00039-8
- Tombaugh, T. N., Kozak, J., & Rees, L. (1999). Normative data stratified by age and education for two measures of verbal fluency: FAS and animal naming. Archives of Clinical Neuropsychology, 14(2), 167–177. https://doi.org/https://doi.org/10.1016/S0887-6177(97)00095-4
- Tucker-Drob, E., Johnson, K., & Jones, R. (2009). The Cognitive Reserve Hypothesis: A longitudinal examination of age-associated declines in reasoning and processing speed.Developmental Psychology,45(2), 431–446. https://doi.org/https://doi.org/10.1037/a0014012
- Valenzuela, M. J., Sachdev, P. (2006). Brain reserve and cognitive decline: A non-parametric systematic review. Psychological Medicine, 36(8), 1065–1073. https://doi.org/https://doi.org/10.1017/S0033291706007744
- Van der Elst, W., Molenberghs, G., Van Boxtel, M. P. J., & Jolles, J. (2013). Establishing normative data for repeated cognitive assessment: A comparison of different statistical methods. Behavior Research Methods, 45(4), 1073–1086. https://doi.org/https://doi.org/10.3758/s13428-012-0305-y
- Weibull, W. (1951). A statistical distribution function of wide applicability. Journal of Applied Mechanics, 18, 293–297.
- Werner, H. (1937). Process and achievement—a basic problem of education and developmental psychology. Harvard Educational Review, 7, 353–368.
- Yocum, A. A. (2008). Employing strategy in measures of executive functioning: Young versus old adults. Cleveland State University. http://rave.ohiolink.edu/etdc/view?acc_num=csu1210296951