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Predictors of Retest Effects in a Longitudinal Study of Cognitive Aging in a Diverse Community-Based Sample

  • Alden L. Gross (a1), Andreana Benitez (a2), Regina Shih (a3), Katherine J. Bangen (a4), M. Maria M. Glymour (a5), Bonnie Sachs (a6), Shannon Sisco (a7), Jeannine Skinner (a8), Brooke C. Schneider (a9) and Jennifer J. Manly (a10)...

Abstract

Better performance due to repeated testing can bias long-term trajectories of cognitive aging and correlates of change. We examined whether retest effects differ as a function of individual differences pertinent to cognitive aging: race/ethnicity, age, sex, language, years of education, literacy, and dementia risk factors including apolipoprotein E ε4 status, baseline cognitive performance, and cardiovascular risk. We used data from the Washington Heights-Inwood Columbia Aging Project, a community-based cohort of older adults (n=4073). We modeled cognitive change and retest effects in summary factors for general cognitive performance, memory, executive functioning, and language using multilevel models. Retest effects were parameterized in two ways, as improvement between the first and subsequent testings, and as the square root of the number of prior testings. We evaluated whether the retest effect differed by individual characteristics. The mean retest effect for general cognitive performance was 0.60 standard deviations (95% confidence interval [0.46, 0.74]), and was similar for memory, executive functioning, and language. Retest effects were greater for participants in the lowest quartile of cognitive performance (many of whom met criteria for dementia based on a study algorithm), consistent with regression to the mean. Retest did not differ by other characteristics. Retest effects are large in this community-based sample, but do not vary by demographic or dementia-related characteristics. Differential retest effects may not limit the generalizability of inferences across different groups in longitudinal research. (JINS, 2015, 21, 506–518)

Copyright

Corresponding author

Correspondence and reprint requests to: Alden L. Gross, Johns Hopkins Bloomberg School of Public Health, 2024 E. Monument St., Baltimore, MD 21205, USA. E-mail: agross14@jhu.edu

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Abner, E.L., Dennis, B.C., Mathews, M.J., Mendiondo, M.S., Caban-Holt, A., & Kryscio, R.J., … Investigators. (2012). Practice effects in a longitudinal, multi-center Alzheimer's disease prevention clinical trial. Trials, 13, 217. doi: 10.1186/1745-6215-13-217.
Barnett, A.G., van der Pols, J.C., & Dobson, A.J. (2005). Regression to the mean: What it is and how to deal with it. International Journal of Epidemiology, 34(1), 215220.
Bartels, C., Wegrzyn, M., Wiedl, A., Ackermann, V., & Ehrenreich, H. (2010). Practice effects in healthy adults: A longitudinal study on frequent repetitive cognitive testing. BMC Neuroscience, 11, 118. doi: 10.1186/1471-2202-11-118
Basso, M.R., Bornstein, R.A., & Lang, J.M. (1999). Practice effects on commonly used measures of executive function across twelve months. The Clinical Neuropsychologist, 13(3), 283292. doi: 10.1076/clin.13.3.283.1743
Baxter, L.C., Caselli, R.J., Johnson, S.C., Reiman, E., & Osborne, D. (2003). Apolipoprotein E epsilon 4 affects new learning in cognitively normal individuals at risk for Alzheimer's disease. Neurobiology of Aging, 24(7), 947952. doi: 10.1016/S0197-4580(03)00006-X
Ben-Yishay, Y., Diller, L., Mandleberg, I., Gordon, W., & Gerstman, L.J. (1974). Differences in matching persistence behavior during block design performance between older normal and brain-damaged persons: A process analysis. Cortex, 10(2), 121132. doi: 10.1016/S0010-9452(74)80003-1
Benedict, R.H., & Zgaljardic, D.J. (1998). Practice effects during repeated administrations of memory tests with and without alternate forms. Journal of Clinical and Experimental Neuropsychology, 20(3), 339352. doi: 10.1076/jcen.20.3.339.822.
Bentler, P.M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238246. doi: 10.1037/0033-2909.107.2.238
Blair, C.K., Folsom, A.R., Knopman, D.S., Bray, M.S., Mosley, T.H., & Boerwinkle, E., … Atherosclerosis Risk in Communities (ARIC) Study Investigators. (2005). APOE genotype and cognitive decline in a middle-aged cohort. Neurology, 64(2), 268276. doi: 10.1212/01.WNL.0000149643.91367.8A
Bontempo, D.E., & Hofer, S.M. (2007). Assessing factorial invariance in cross-sectional and longitudinal studies. In A.D. Ong & M. van Dulmen (Eds.), Handbook of methods in positive psychology (pp. 153175). New York: Oxford University Press.
Borenstein, A.R., Copenhaver, C.I., & Mortimer, J.A. (2006). Early-life risk factors for Alzheimer disease. Alzheimer Disease and Associated Disorders, 20(1), 6372. doi: 10.1097/01.wad.0000201854.62116.d7
Borsboom, D., Romeijn, J.W., & Wicherts, J.M. (2008). Measurement invariance versus selection invariance: Is fair selection possible? Psychological Methods, 13, 7598. doi: 10.1037/1082-989X.13.2.75
Boyle, P.A., Wilson, R.S., Aggarwal, N.T., Tang, Y., & Bennett, D.A. (2006). Mild cognitive impairment: Risk of Alzheimer disease and rate of cognitive decline. Neurology, 67(3), 441445.
Burke, E.F. (1997). A short note on the persistence of retest effects on aptitude scores. Journal of Occupational and Organizational Psychology, 70, 295301.
Buschke, H. (1973). Selective reminding for analysis of memory and learning. Journal of Verbal Learning and Verbal Behavior, 12, 543550. doi: 10.1016/S0022-5371(73)80034-9
Cagney, K.A., & Lauderdale, D.S. (2002). Education, wealth, and cognitive functioning in later life. Journal of Gerontology: Psychological Sciences, 2, 163172. doi: 10.1093/geronb/57.2.P163
Calamia, M., Markon, K., & Tranel, D. (2012). Scoring higher the second time around: Meta-analyses of practice effects in neuropsychological assessment. The Clinical Neuropsychologist, 26(4), 543570. doi: 10.1080/13854046.2012.680913
Collie, A., Maruff, P., Darby, D.G., & McStephen, M. (2003). The effects of practice on the cognitive test performance of neurologically normal individuals assessed at brief test-retest intervals. Journal of the International Neuropsychological Society, 9(3), 419428.
Cooper, D.B., Lacritz, L.H., Weiner, M.F., Rosenberg, R.N., & Cullum, C.M. (2004). Category fluency in mild cognitive impairment: Reduced effect of practice in test–retest conditions. Alzheimer Disease and Associated Disorders, 18, 120122.
Darby, D., Maruff, P., Collie, A., & McStephen, M. (2002). Mild cognitive impairment can be detected by multiple assessments in a single day. Neurology, 59, 10421046. doi: 10.1212/WNL.59.7.1042
Del Ser, T., Gonzalez-Montalvo, J.-I., MartinezEspinosa, S., Delgado-Villapalos, C., & Bermejo, F. (1997). Estimation of premorbid intelligence in Spanish people with the Word Accentuation Test and its application to the diagnosis of dementia. Brain and Cognition, 33, 343356.
Delis, D.C., Kramer, J.H., Kaplan, E., & Ober, B.A. (2000). California Verbal Learning Test. (2nd ed.), San Antonio, TX: Psychological Corporation.
Dodge, H.H., Wang, C.N., Chang, C.C., & Ganguli, M. (2011). Terminal decline and practice effects in older adults without dementia: The MoVIES project. Neurology, 77(8), 722730. doi: 10.1212/WNL.0b013e31822b0068
Dodrill, C.B., & Troupin, A.S. (1975). Effects of repeated administrations of a comprehensive neuropsychological battery among chronic epileptics. The Journal of Nervous and Mental Disease, 161(3), 185190. doi: 10.1097/00005053-197509000-00006
Duff, K., Lyketsos, C.G., Beglinger, L.J., Chelune, G., Moser, D.J., Arndt, S., & McCaffrey, R.J. (2011). Practice effects predict cognitive outcome in amnestic mild cognitive impairment. American Journal of Geriatric Psychiatry, 19(11), 932939. doi: 10.1097/JGP.0b013e318209dd3a
Dugbartey, A.T., Townes, B.D., & Mahurin, R.K. (2000). Equivalence of the Color Trails Test and Trail Making Test in nonnative English-speakers. Archives of Clinical Neuropsychology, 15(5), 425431. doi: 10.1016/S0887-6177(99)00034-7
Ferrer, E., Salthouse, T.A., McArdle, J.J., Stewart, W.F., & Schwartz, B.S. (2005). Multivariate modeling of age and retest in longitudinal studies of cognitive abilities. Psychology and Aging, 20(3), 412422. doi: 10.1037/0882-7974.20.3.412
Ferrer, E., Salthouse, T.A., Stewart, W.F., & Schwartz, B.S. (2004). Modeling age and retest processes in longitudinal studies of cognitive abilities. Psychology and Aging, 19(2), 243259. doi: 10.1037/0882-7974.19.2.243
Flicker, L. (2010). Cardiovascular risk factors, cerebrovascular disease burden, and healthy brain aging. Clinics in Geriatric Medicine, 26(1), 1727. doi: 10.1016/j.cger.2009.12.005
Frank, R., Wiederholt, W.C., Kritz-Silverstein, D.K., Salmon, D.P., & Barrett-Connor, E. (1996). Effects of sequential neuropsychological testing of an elderly community-based sample. Neuroepidemiology, 15(5), 257268. doi: 10.1159/000109915
Gibbons, L.E., Carle, A.C., Mackin, R.S., Harvey, D., Mukherjee, S., & Insel, P., … Alzheimer’s Disease Neuroimaging Initiative. (2012). A composite score for executive functioning, validated in Alzheimer's Disease Neuroimaging Initiative (ADNI) participants with baseline mild cognitive impairment. Brain Imaging and Behavior, 6(4), 517527.
Glymour, M.M., & Manly, J.J. (2008). Lifecourse social conditions and racial and ethnic patterns of cognitive aging. Neuropsychology Review, 18, 223254. doi: 10.1007/s11065-008-9064-z
Glymour, M.M., Weuve, J., Berkman, L.F., Kawachi, I., & Robins, J.M. (2005). When is baseline adjustment useful in analyses of change? An example with education and cognitive change. American Journal of Epidemiology, 162(3), 267278.
Gould, S.J. (1996). The mismeasure of man. New York: W.W. Norton & Company.
Gross, A.L., Jones, R.N., Fong, T.G., Tommet, D., & Inouye, S.K. (2014). Calibration and validation of an innovative approach for estimating general cognitive performance. Neuroepidemiology, 42, 144153.
Gross, A.L., Sherva, R., Mukherjee, S., Newhouse, S., Kauwe, J.S.K., & Munsie, L.M., … AD Genetics Consortium. (2014). Calibrating longitudinal cognition in Alzheimer’s disease across diverse test batteries and datasets. Neuroepidemiology, 43, 194205.
Haan, M.N., Shemanski, L., Jagust, W.J., Manolio, T.A., & Kuller, L. (1999). The role of APOE epsilon4 in modulating effects of other risk factors for cognitive decline in elderly persons. Journal of the American Medical Association, 282, 4046. doi: 10.1001/jama.282.1.40
Harrison, J.E., Buxton, P., Husain, M., & Wise, R. (2000). Short test of semantic and phonological fluency: Normal performance, validity and test-retest reliability. British Journal of Clinical Psychology, 39(Pt 2), 181191. doi: 10.1348/014466500163202
Hausknecht, J.P., Halpert, J.A., Di Paolo, N.T., & Gerrard, M.O.M. (2007). Retesting in selection: A meta-analysis of coaching and practice effects for tests of cognitive ability. Journal of Applied Psychology, 92, 373385.
Hayden, K.M., Jones, R.N., Zimmer, C., Plassman, B.L., Browndyke, J.N., Pieper, C., & Welsh-Bohmer, K.A. (2011). Factor structure of the National Alzheimer’s Coordinating Centers uniform dataset neuropsychological battery: An evaluation of invariance between and within groups over time. Alzheimer Disease and Associated Disorders, 25(2), 128137. doi: 10.1097/WAD.0b013e3181ffa76d
Heilbronner, R.L., Sweet, J.J., Attix, D.K., Krull, K.R., Henry, G.K., & Hart, R.P. (2010). Official position of the American Academy of Clinical Neuropsychology on serial neuropsychological assessments: The utility and challenges of repeat test administrations in clinical and forensic contexts. The Clinical Neuropsychologist, 24, 12671278. doi:10.1080/13854046.2010.526785. doi: 10.1080/13854046.2010.526785
Hernan, M.A., & Robins, J.M. (2006). Estimating causal effects from epidemiological data. Journal of Epidemiology and Community Health, 60, 578596. doi: 10.1136/jech.2004.029496
Hoffman, L., Hofer, S.M., & Sliwinski, M.J. (2011). On the confounds among retest gains and age-cohort differences in the estimation of within-person change in longitudinal studies: A simulation study. Psychology and Aging, 26, 778791. doi: 10.1037/a0023910
Hoffmeyer-Zlotnik, J.H.P., & Warner, U. (2005). How to measure education in cross-national comparison: Hoffmeyer-Zlotnik/Warner-Matrix of education as a new instrument. In J.H.P. Hoffmeyer-Zlotnik & J.A. Harkness (Eds.), Methodological aspects in cross-national research (pp. 223–240). ZUMA Nachrichten Special 11. Mannheim: ZUMA.
Horton, A.M. Jr. (1992). Neuropsychological practice effects x age: A brief note. Perceptual and Motor Skills, 75(1), 257258.
Howieson, D., Carlson, N., Moore, M., Wasserman, D., Abendroth, C., Payne-Murphy, J., & Kaye, J. (2008). Trajectory of mild cognitive impairment onset. Journal of the International Neuropsychological Society, 14, 192198.
Ivnik, R.J., Smith, G.E., Lucas, J.A., Petersen, R.C., Boeve, B.F., Kokmen, E., & Tangalos, E.G. (1999). Testing normal older people three or four times at 1- to 2-year intervals: Defining normal variance. Neuropsychology, 13, 121127.
Jacqmin-Gadda, H., Fabrigoule, C., Commenges, D., & Dartigues, J.F. (1997). A five-year longitudinal study of Mini-Mental State Examination in normal aging. American Journal of Epidemiology, 145, 498506.
Jacobs, D.M., Sano, M., Dooneief, G., Marder, K., Bell, K.L., & Stern, Y. (1995). Neuropsychological detection and characterization of preclinical Alzheimer's disease. Neurology, 45(5), 957962. doi: 10.1212/WNL.45.5.957
Johnson, J.K., Gross, A.L., Pa, J., McLaren, D.G., Park, L.Q., & Manly, J.J., for the Alzheimer’s Disease Neuroimaging Initiative (2012). Longitudinal change in neuropsychological performance using latent growth models: A study of mild cognitive impairment. Brain Imaging and Behavior, 6(4), 540550. doi: 10.1007/s11682-012-9161-8
Jones, R.N., Rudolph, J.L., Inouye, S.K., Yang, F.M., Fong, T.G., Milberg, W.P., & Marcantonio, E.R. (2010). Development of a unidimensional composite measure of neuropsychological functioning in older cardiac surgery patients with good measurement precision. Journal of Clinical and Experimental Neuropsychology, 32, 10411049.
Juster, F.T., & Suzman, R. (1995). An overview of the Health and Retirement Study. Journal of Human Resources, 30(Suppl.), 756. doi: 10.2307/146277
Kaplan, E., Goodglass, H., & Weintraub, S. (1983). The Boston Naming Test. Philidelphia: Lea and Febiger.
Kausler, D.H. (1994). Learning and memory in normal aging. San Diego, CA: Academic Press.
Laird, N.M., & Ware, J.H. (1982). Random-effects models for longitudinal data. Biometrics, 38(4), 963974. doi: 10.2307/2529876.
Langa, K.M., Plassman, B.L., Wallace, R.B., Herzog, A.R., Heeringa, S.G., Ofstedal, M.B., & Willis, R.J. (2005). The Aging, Demographics, and Memory Study: Study design and methods. Neuroepidemiology, 25, 181191. doi: 10.1159/000087448
Little, R.J.A., & Rubin, D.B. (1987). Statistical analysis with missing data. New York: John Wiley & Sons.
Luchsinger, J.A., Tang, M.-X., Shea, S., & Mayeux, R. (2001). Diabetes mellitus and risk of Alzheimer’s disease and dementia with stroke in a multiethnic cohort. American Journal of Epidemiology, 154, 635641. doi: 10.1093/aje/154.7.635
Luchsinger, J.A., Reitz, C., Honig, L.S., Tang, M.-X., Shea, S., & Mayeux, R. (2005). Aggregation of vascular risk factors and risk of incident Alzheimer’s disease. Neurology, 65, 545551. doi: 10.1212/01.wnl.0000172914.08967.dc
Machulda, M.M., Pankratz, V.S., Christianson, T.J., Ivnik, R.J., Mielke, M.M., Roberts, R.O., & Petersen, R.C. (2013). Practice effects and longitudinal cognitive change in normal aging vs. incident mild cognitive impairment and dementia in the Mayo Clinic Study of Aging. The Clinical Neuropsychologist, 27(8), 12471264. doi: 10.1080/13854046.2013.836567
Manly, J.J., Byrd, D.A., Touradji, P., & Stern, Y. (2004). Acculturation, reading level, and neuropsychological test performance among African American elders. Applied Neuropsychology, 11(1), 3746.
Manly, J.J., Jacobs, D.M., Sano, M., Bell, K., Merchant, C.A., ... Stern, Y. (1999). Effect of literacy on neuropsychological test performance in nondemented, education-matched elders. Journal of the International Neuropsychological Society, 5(3), 191202.
Manly, J.J., Jacobs, D.M., Touradji, P., Small, S.A., & Stern, Y. (2002). Reading level attenuates differences in neuropsychological test performance between African American and White elders. Journal of the International Neuropsychological Society, 8(3), 341348.
Manly, J.J., Schupf, N., Tang, M.-X., & Stern, Y. (2005). Cognitive decline and literacy among ethnically diverse elders. Journal of Geriatric Psychiatry and Neurology, 18, 213217. doi: 10.1177/0891988705281868
Manly, J.J., Tang, M.X., Schupf, N., Stern, Y., Vonsattel, J.P., & Mayeux, R. (2008). Frequency and course of mild cognitive impairment in a multiethnic community. Annals of Neurology, 63(4), 494506.
Manly, J.J., Touradji, P., Tang, M.X., & Stern, Y. (2003). Literacy and memory decline among ethnically diverse elders. Journal of Clinical and Experimental Neuropsychology, 25(5), 680690.
Mann, V.A., Sasanuma, S., Sakuma, N., & Masaki, S. (1990). Sex differences in cognitive abilities: A cross-cultural perspective. Neuropsychologia, 28(10), 10631077. doi: 10.1016/0028-3932(90)90141-A
Mattis, S. (1988). Dementia Rating Scale: Professional manual. Odessa, FL: Psychological Assessment Resources.
McCaffrey, R.J., Onega, A., Orsillo, S.M., Nelles, W.B., & Haase, R.F. (1992). Practice effects in repeated neuropsychological assessments. The Clinical Neuropsychologist, 6, 3242. doi: 10.1080/13854049208404115
Meyer, D.E., & Schvaneveldt, R.W. (1971). Facilitation in recognizing pairs of words: Evidence of a dependence between retrieval operations. Journal of Experimental Psychology, 90(2), 227234. doi: 10.1037/h0031564
Mitrushina, M., Boone, K.B., Razani, J., & D’Elia, L.F. (2005). Handbook of normative data for neuropsychological assessment (2nd ed.). New York, NY: Oxford University Press.
Mitrushina, M., & Satz, P. (1991). Effect of repeated administration of a neuropsychological battery in the elderly. Journal of Clinical Psychology, 47(6), 790801. doi: 10.1002/1097-4679(199111)47:6<790::AID-JCLP2270470610>3.0.CO;2-C
Mungas, D., Reed, B.R., Marshall, S.C., & González, H.M. (2000). Development of psychometrically matched English and Spanish language neuropsychological tests for older persons. Neuropsychology, 14(2), 209223.
Muthén, B.O., & Curran, P.J. (1997). General longitudinal modeling of individual differences in experimental designs: A latent variable framework for analysis and power estimation. Psychological Methods, 2, 371402. doi: 10.1037//1082-989X.2.4.371
Muthén, L.K., & Muthén, B.O. (1998–2012). Mplus User's Guide (7th ed.), Los Angeles, CA: Muthén & Muthén.
Perani, D., Bressi, S., Cappa, S.F., Vallar, G., Alberini, M., Grassi, F., & Fazio, F. (1993). Evidence of multiple memory systems in the human brain: A [18F] FDG PET metabolic study. Brain, 116, 903919. doi: 10.1093/brain/116.4.903
Rabbitt, P.M. (1993). Does it all go together when it goes? Quarterly Journal of Experimental Psychology, 46(A), 385433. doi: 10.1080/14640749308401055
Rabbitt, P., Diggle, P., Smith, D., Holland, F., & McInnes, L. (2001). Identifying and separating the effects of practice and of cognitive ageing during a large longitudinal study of elderly community residents. Neuropsychologia, 39(5), 532543. doi: 10.1016/S0028-3932(00)00099-3
Rabbitt, P., Diggle, P., Holland, F., & McInnes, L. (2004). Practice and drop-out effects during a 17-year longitudinal study of cognitive aging. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 59(2), 8497. doi: 10.1093/geronb/59.2.P84
Rabbitt, P., Lunn, M., Wong, D., & Cobain, M. (2008). Age and ability affect practice gains in longitudinal studies of cognitive change. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 63(4), P235P240. doi: 10.1093/geronb/63.4.P235
Raudenbush, S.W., & Bryk, A.S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.), Thousand Oaks, CA: Sage.
Reitan, R. (1958). Validity of the trail making test as an indicator of organic brain damage. Perceptual and Motor Skills, 8, 271276. doi: 10.2466/PMS.8.7.271-276
Ronnlund, M., & Nilsson, L.G. (2006). Adult life-span patterns in WAIS-R Block Design performance: Cross-sectional versus longitudinal age gradients and relations to demographic factors. Intelligence, 34, 6378. doi:10.1016/j.intell.2005.06.004
Ronnlund, M., Nyberg, L., Backman, L., & Nilsson, L. (2005). Stability, growth, and decline in adult life span development of declarative memory: Cross-sectional and longitudinal data from a population-based study. Psychology and Aging, 20, 318. doi: 10.1037/0882-7974.20.1.3
Sabe, L., Jason, L., Juejati, M., Leiguarda, R., & Starkstein, S.E. (1995). Dissociation between declarative and procedural learning in dementia and depression. Journal of Clinical and Experimental Neuropsychology, 17, 841848. doi: 10.1080/01688639508402433
Salthouse, T.A. (2009). When does age-related cognitive decline begin? Neurobiology and Aging, 30(4), 507514. doi: 10.1016/j.neurobiolaging.2008.09.023
Salthouse, T.A. (2010a). Major issues in cognitive aging. New York: Oxford University Press.
Salthouse, T.A. (2010b). Influence of age on practice effects in longitudinal neurocognitive change. Neuropsychology, 24, 563572. doi: 10.1037/a0019026
Salthouse, T., Schroeder, D., & Ferrer, E. (2004). Estimating retest effects in longitudinal assessments of cognitive functioning in adults between 18 and 60 years of age. Developmental Psychology, 40(5), 813822. doi: 10.1037/0012-1649.40.5.813
Salthouse, T.A., & Tucker-Drob, E.M. (2008). Implications of short-term retest effects for the interpretation of longitudinal change. Neuropsychology, 22, 800811. doi: 10.1037/a0013091
Schaie, K.W. (2005). Developmental influences on adult intelligence: The Seattle Longitudinal Study. New York: Oxford University Press.
Schneider, B.C., Gross, A.L., Bangen, K.J., Skinner, J.C., Benitez, A., Glymour, M.M., & Luchsinger, J.A. (2014). Association of vascular risk factors with cognition in a multiethnic sample. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 70(4), 532544.
Schofield, P.W., Mosesson, R., Stern, Y., & Mayeux, R. (1995). The age at onset of Alzheimer’s disease and an intracranial area measurement: A relationship. Arch Neurol, 52(1), 9598.
Schrijnemaekers, A.M., de Jager, C.A., Hogervorst, E., & Budge, M.M. (2006). Cases with mild cognitive impairment and Alzheimer’s disease fail to benefit from repeated exposure to episodic memory tests as compared with controls. Journal of Clinical and Experimental Neuropsychology, 28, 438455. doi: 10.1080/13803390590935462
Siedlecki, K.L., Manly, J.J., Brickman, A.M., Schupf, N., Tang, M.X., & Stern, Y. (2010). Do neuropsychological tests have the same meaning in Spanish speakers as they do in English speakers? Neuropsychology, 24(3), 402411. doi: 10.1037/a0017515
Singer, J.D., & Willet, J. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. New York, NY: Oxford University Press.
Sliwinski, M., Hoffman, L., & Hofer, S. (2010). Modeling retest and aging effects in a measurement burst design. In P.C.M. Molenaar & K.M. Newell (Eds.), Individual pathways of change: Statistical models for analyzing learning and development (pp 3750). Washington, DC: American Psychological Association.
Spreen, O., & Benton, A. (1969). Neurosensory Centre Comprehensive Examination for Aphasia. Victoria, British Columbia, Canada: University of Victoria.
Steiger, J.H., & Lind, J.C. (1980). Statistically based tests for the number of common factors. Paper presented at the annual meeting of the Psychometric Society; Iowa City, IA.
Stern, Y., Andrews, H., Pittman, J., Sano, M., Tatemichi, T., Lantigua, R., & Mayeux, R. (1992). Diagnosis of dementia in a heterogeneous population. Development of a neuropsychological paradigm-based diagnosis of dementia and quantified correction for the effects of education. Archives of Neurology, 49, 453460.
Stern, Y., Gurland, B., Tatemichi, T.K., Tang, M.X., Wilder, D., & Mayeux, R. (1994). Influence of education and occupation on the incidence of Alzheimer’s disease. Journal of the American Medical Association, 271, 10041010. doi: jama.271.13.1004
Stuss, D., Stethem, L., & Poirier, C. (1987). Comparison of three tests of attention and rapid information processing across six age groups. The Clinical Neuropsychologist, 1, 139152.
Tang, M.-X., Cross, P., Andrews, H., Jacobs, D.M., Small, S., Bell, K., & Mayeux, R. (2001). Incidence of AD in African-Americans, Caribbean Hispanics, and Caucasians in northern Manhattan. Neurology, 56, 4956. doi: 10.1212/WNL.56.1.49
Tang, M.X., Stern, Y., Marder, K., Bell, K., Gurland, B., Lantiqua, R., & Mayeux, R. (1998). The APOE-epsilon4 allele and the risk of Alzheimer disease among African Americans, whites, and Hispanics. Journal of the American Medical Association, 279(10), 751755. doi: 10.1001/jama.279.10.751
Thorndike, E.L. (1922). Practice effects in intelligence tests. Journal of Experimental Psychology, 5, 101107. doi: 10.1037/h0074568
Tulving, E., & Markowitsch, H.J. (1998). Episodic and declarative memory: Role of the hippocampus. Hippocampus, 8(3), 198204. doi: 10.1002/(SICI)1098-1063(1998)8:3<198::AID-HIPO2>3.3.CO;2-J
Van der Elst, W., Van Boxtel, M.P.J., Van Breukelen, G.J.P., & Jolles, J. (2008). Detecting the significance of changes in performance on the Stroop Color-Word Test, Rey’s Verbal Learning Test, and the Letter Digit Substitution Test: The regression-based change approach. Journal of the International Neuropsychological Society, 14, 7180. doi: 10.10170S1355617708080028
Voyer, D., Voyer, S., & Bryden, M.P. (1995). Magnitude of sex differences in spatial abilities: A meta-analysis and consideration of critical variables. Psychological Bulletin, 117(2), 250270. doi: 10.1037//0033-2909.117.2.250
Wechsler, D. (1981). Wechsler Adult Intelligence Scale-Revised. New York: The Psychological Corporation.
Wilkinson, G.S., & Robertson, G.J. (2006). Wide Range Achievement Test 4 professional manual. Lutz, FL: Psychological Assessment Resources.
Wilson, R.S., Li, Y., Bienias, J.L., & Bennett, D.A. (2006). Cognitive decline in old age: Separating retest effects from the effects of growing older. Psychology and Aging, 21(4), 774789. doi: 10.1037/0882-7974.21.4.774
Wilson, R., Leurgans, S., Boyle, P., & Bennett, B. (2011). Cognitive decline in prodromal Alzheimer disease and mild cognitive impairment. Archives of Neurology, 68, 351356.
Zehnder, A., Blasi, S., Berres, M., Spiegel, R., & Monsch, A. (2007). Lack of practice effects on neuropsychological tests as early cognitive markers of Alzheimer disease? American Journal of Alzheimer’s Disease and Other Dementias, 22, 416426.

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Appendix Tables 1-3

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Predictors of Retest Effects in a Longitudinal Study of Cognitive Aging in a Diverse Community-Based Sample

  • Alden L. Gross (a1), Andreana Benitez (a2), Regina Shih (a3), Katherine J. Bangen (a4), M. Maria M. Glymour (a5), Bonnie Sachs (a6), Shannon Sisco (a7), Jeannine Skinner (a8), Brooke C. Schneider (a9) and Jennifer J. Manly (a10)...

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