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1

Mason, Susan E., Patricia Baskey, and Diane Perri. "Adult Age Differences in Visual Search." International Journal of Aging and Human Development 21, no. 3 (October 1986): 187–96. http://dx.doi.org/10.2190/pkn4-hxp8-r73w-qdw1.

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The visual search technique was used to assess adult age differences in visual information extraction. The study included three adult age groups. In Experiment 1, participants searched for targets embedded in a list of unrelated words. Targets were defined structurally, phonemically, or semantically. Search for structural targets was faster than search for phonemic and semantic targets. This was true for all three age groups. In Experiment 2, targets were embedded in prose. The oldest age group required additional time to detect each target type, but the largest age difference was associated with semantic search.
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2

Kray, Jutta, and Ulman Lindenberger. "Adult age differences in task switching." Psychology and Aging 15, no. 1 (2000): 126–47. http://dx.doi.org/10.1037/0882-7974.15.1.126.

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3

Foos, Paul W. "Adult age differences in working memory." Psychology and Aging 4, no. 3 (1989): 269–75. http://dx.doi.org/10.1037/0882-7974.4.3.269.

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4

Dobbs, Allen R., and Brendan Gail Rule. "Adult age differences in working memory." Psychology and Aging 4, no. 4 (1989): 500–503. http://dx.doi.org/10.1037/0882-7974.4.4.500.

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5

Giambra, Leonard M., and David Arenberg. "Adult age differences in forgetting sentences." Psychology and Aging 8, no. 3 (1993): 451–62. http://dx.doi.org/10.1037/0882-7974.8.3.451.

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6

Laumann Long, Raymond J. Shaw, Lisa. "ADULT AGE DIFFERENCES IN VOCABULARY ACQUISITION." Educational Gerontology 26, no. 7 (October 2000): 651–64. http://dx.doi.org/10.1080/03601270050200644.

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7

Tallgren, A., and B. Solow. "Age differences in adult dentoalveolar heights." European Journal of Orthodontics 13, no. 2 (April 1, 1991): 149–56. http://dx.doi.org/10.1093/ejo/13.2.149.

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8

Rankin, J. L., and M. Collins. "Adult Age Differences in Memory Elaboration." Journal of Gerontology 40, no. 4 (July 1, 1985): 451–58. http://dx.doi.org/10.1093/geronj/40.4.451.

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9

Salthouse, Timothy A., and Alan W. Kersten. "Decomposing adult age differences in symbol arithmetic." Memory & Cognition 21, no. 5 (September 1993): 699–710. http://dx.doi.org/10.3758/bf03197200.

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10

Miller, Lisa M. Soederberg, Elizabeth A. L. Stine-Morrow, Heather L. Kirkorian, and Michelle L. Conroy. "Adult Age Differences in Knowledge-Driven Reading." Journal of Educational Psychology 96, no. 4 (2004): 811–21. http://dx.doi.org/10.1037/0022-0663.96.4.811.

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11

Salthouse, Timothy A. "Adult age differences in integrative spatial ability." Psychology and Aging 2, no. 3 (1987): 254–60. http://dx.doi.org/10.1037/0882-7974.2.3.254.

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12

Hess, Thomas M., and Sharon M. Pullen. "Adult age differences in impression change processes." Psychology and Aging 9, no. 2 (1994): 237–50. http://dx.doi.org/10.1037/0882-7974.9.2.237.

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13

Madden, David J., S. Lisa Connelly, and Thomas W. Pierce. "Adult age differences in shifting focused attention." Psychology and Aging 9, no. 4 (1994): 528–38. http://dx.doi.org/10.1037/0882-7974.9.4.528.

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14

Salthouse, Timothy A., and Renee L. Babcock. "Decomposing adult age differences in working memory." Developmental Psychology 27, no. 5 (September 1991): 763–76. http://dx.doi.org/10.1037/0012-1649.27.5.763.

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15

Griego, Jacqueline A., and Matthias Kliegel. "Adult Age Differences in Function Concept Learning." Aging, Neuropsychology, and Cognition 15, no. 1 (December 31, 2007): 1–30. http://dx.doi.org/10.1080/13825580701442805.

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16

Parkinson, Stanley R., Vaughan W. Inman, and Stephen E. Dannenbaum. "Adult age differences in short-term forgetting." Acta Psychologica 60, no. 1 (September 1985): 83–101. http://dx.doi.org/10.1016/0001-6918(85)90015-0.

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17

Salthouse, Timothy A. "Working-memory mediationof adult age differences in integrativereasoning." Memory & Cognition 20, no. 4 (July 1992): 413–23. http://dx.doi.org/10.3758/bf03210925.

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18

Anooshian, Linda J., Susan L. Mammarella, and Paula T. Hertel. "Adult Age Differences in Knowledge of Retrieval Processes." International Journal of Aging and Human Development 29, no. 1 (July 1989): 39–52. http://dx.doi.org/10.2190/erpx-9nu8-hnrm-qxtr.

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We assessed knowledge of retrieval processes in young (25–35 years) and old adults (70–85 years). Both feeling-of-knowing judgments and retrieval monitoring were examined with a set of questions about recent news events. For answers that participants initially failed to recall, they rated their feeling-of-knowing as well as made predictions regarding the likelihood of recalling the answer with the aid of a specified type of retrieval cue (retrieval monitoring). Accuracy was evaluated in the context of later recall or recognition performance. We found age group differences in the accuracy of retrieval monitoring, free recall, and recall aided by phonological cues. Using a separate inventory, we found no evidence for age group differences in participants' knowledge of general retrieval principles.
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19

Dumas, Julie A., and Marilyn Hartman. "Adult age differences in temporal and item memory." Psychology and Aging 18, no. 3 (2003): 573–86. http://dx.doi.org/10.1037/0882-7974.18.3.573.

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20

Madden, David J. "Adult age differences in attentional selectivity and capacity." European Journal of Cognitive Psychology 2, no. 3 (July 1990): 229–52. http://dx.doi.org/10.1080/09541449008406206.

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21

Bruine de Bruin, Wändi, Andrew M. Parker, and Baruch Fischhoff. "Explaining adult age differences in decision-making competence." Journal of Behavioral Decision Making 25, no. 4 (July 20, 2010): 352–60. http://dx.doi.org/10.1002/bdm.712.

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22

Adams, C., G. Labouvie-Vief, C. J. Hobart, and M. Dorosz. "Adult Age Group Differences in Story Recall Style." Journal of Gerontology 45, no. 1 (January 1, 1990): P17—P27. http://dx.doi.org/10.1093/geronj/45.1.p17.

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23

Allen, P. A., T. A. Weber, and D. J. Madden. "Adult Age Differences in Attention: Filtering or Selection?" Journal of Gerontology 49, no. 5 (September 1, 1994): P213—P222. http://dx.doi.org/10.1093/geronj/49.5.p213.

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24

Parr, Wendy V., and Pierre Mercier. "Adult age differences in on-line contingency judgements." Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale 52, no. 3 (1998): 147–59. http://dx.doi.org/10.1037/h0087288.

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25

Pasupathi, Monisha, and Emma Mansour. "Adult age differences in autobiographical reasoning in narratives." Developmental Psychology 42, no. 5 (2006): 798–808. http://dx.doi.org/10.1037/0012-1649.42.5.798.

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26

Allen, Philip A., Beth Goldstein, David J. Madden, and David B. Mitchell. "Adult age differences in long-term semantic priming." Experimental Aging Research 23, no. 2 (April 1997): 107–35. http://dx.doi.org/10.1080/03610739708254028.

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27

Rice, Cora, and Monisha Pasupathi. "Reflecting on self-relevant experiences: Adult age differences." Developmental Psychology 46, no. 2 (2010): 479–90. http://dx.doi.org/10.1037/a0018098.

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28

Madden, David J. "Adult age differences in memory-driven selective attention." Developmental Psychology 21, no. 4 (1985): 655–65. http://dx.doi.org/10.1037/0012-1649.21.4.655.

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29

Salthouse, Timothy A. "Speed mediation of adult age differences in cognition." Developmental Psychology 29, no. 4 (1993): 722–38. http://dx.doi.org/10.1037/0012-1649.29.4.722.

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30

Langley, Linda K., Alyson L. Saville, Nora D. Gayzur, and Luis J. Fuentes. "Adult Age Differences in Attention to Semantic Context." Aging, Neuropsychology, and Cognition 15, no. 6 (November 11, 2008): 657–86. http://dx.doi.org/10.1080/13825580802036928.

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31

Foos, Paul W., and Anita J. Sarno. "Adult Age Differences in Semantic and Episodic Memory." Journal of Genetic Psychology 159, no. 3 (September 1998): 297–312. http://dx.doi.org/10.1080/00221329809596153.

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32

Watchko, J. F., B. D. Johnson, L. E. Gosselin, Y. S. Prakash, and G. C. Sieck. "Age-related differences in diaphragm muscle injury after lengthening activations." Journal of Applied Physiology 77, no. 5 (November 1, 1994): 2125–33. http://dx.doi.org/10.1152/jappl.1994.77.5.2125.

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The susceptibility of postnatal day 15 and adult rat diaphragms (DIAs) to acute injury after repetitive isovelocity lengthening activations was examined in vitro. Forces were measured during two phases of each stimulation protocol: 1) isometric phase: during the first 300 ms of each 500-ms train, DIA length was not changed; and 2) isovelocity lengthening phase: during the remaining 200 ms of each stimulus train, DIA was lengthened at a constant velocity from 90 to 110% of optimal length. At maximal activation (75 Hz and a lengthening velocity of 1.0 optimal length per second), the maximum force measured during the isometric phase and that measured during the isovelocity lengthening phase were both greater in adult DIAs than in day 15 DIAs but both declined to a greater extent in adults with repetitive activation. Ultrastructural analysis showed that after lengthening activations muscle fiber injury was very evident in adult but much less prevalent in day 15 DIAs. This difference in susceptibility between the adult and day 15 DIAs did not depend on differences in peak force or absolute velocity of lengthening. We conclude that lengthening activations result in DIA injury and that the adult is more susceptible than its younger counterpart.
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33

Weinstein, Stellye, and Efrem Rosen. "Senior Adult Sexuality in Age Segregated and Age Integrated Communities." International Journal of Aging and Human Development 27, no. 4 (December 1988): 261–70. http://dx.doi.org/10.2190/06hw-j4df-pj2c-80m0.

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Middle-income older adults who select to reside in age-segregated (AS) leisure-type retirement communities exhibit significantly more sexual interest, sexual activities, and liberal sexual attitudes than do middle-income older adults residing in age-integrated (AI) mainstream communities. Data from 314 respondents on a senior adult sexuality scale were subjected to a discriminant analysis. Sexual activities and traditional sexual interests respectively make the strongest contribution to the group differences. The implications of these findings are discussed.
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34

Oxana, Semyachkina-Glushkovskaya, Sindeeva Olga, Abdurashitov Arkady, Sindeev Sergey, Zinchenko Ekaterina, Gekaluk Artem, Ulanova Maria, Mohanad Kassim, Yankovskaya Ludmila, and Tuchin Valery. "Blood-brain barrier and cerebral blood flow: Age differences in hemorrhagic stroke." Journal of Innovative Optical Health Sciences 08, no. 06 (October 27, 2015): 1550045. http://dx.doi.org/10.1142/s1793545815500455.

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Neonatal stroke is similar to the stroke that occurs in adults and produces a significant morbidity and long-term neurologic and cognitive deficits. There are important differences in the factors, clinical events and outcomes associated with the stroke in infants and adults. However, mechanisms underlying age differences in the stroke development remain largely unknown. Therefore, treatment guidelines for neonatal stroke must extrapolate from the adult data that is often not suitable for children. The new information about differences between neonatal and adult stroke is essential for identification of significant areas for future treatment and effective prevention of neonatal stroke. Here, we studied the development of stress-induced hemorrhagic stroke and possible mechanisms underlying these processes in newborn and adult rats. Using histological methods and magnetic resonance imaging, we found age differences in the type of intracranial hemorrhages. Newborn rats demonstrated small superficial bleedings in the cortex while adult rats had more severe deep bleedings in the cerebellum. Using Doppler optical coherent tomography, we found higher stress-reactivity of the sagittal sinus to deleterious effects of stress in newborn vs. adult rats suggesting that the cerebral veins are more vulnerable to negative stress factors in neonatal vs. adult brain in rats. However, adult but not newborn rats demonstrated the stroke-induced breakdown of blood brain barrier (BBB) permeability. The one of possible mechanisms underlying the higher resistance to stress-related stroke injures of cerebral vessels in newborn rats compared with adult animals is the greater expression of two main tight junction proteins of BBB (occludin and claudin-5) in neonatal vs. mature brain in rats.
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35

Bertsch, Sharon, and Raymond E. Sanders. "Age Differences in Context-Cue Forgetting." Psychological Reports 96, no. 3_suppl (June 2005): 879–88. http://dx.doi.org/10.2466/pr0.96.3c.879-888.

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Episodic or context dependent memory is often studied as a function of the context cues in immediate retrieval of target information. Little research has been done on how the relationship of context cues to target retrieval changes over time, and none with older adult subjects. The current research investigated how the influence of context on accuracy of memory changes over time, and age-related differences in those influences. Using immediate, 2- and 7-day retention intervals, our results indicate that, while context initially supports the retrieval of information, assistance is temporary and fades before the memory for the target information. These changes in context effects were not different for younger and older adult groups.
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36

Oakes, E. J., R. Harmsen, and C. Eberl. "Sex, age, and seasonal differences in the diets and activity budgets of muskoxen (Ovibos moschatus)." Canadian Journal of Zoology 70, no. 3 (March 1, 1992): 605–16. http://dx.doi.org/10.1139/z92-089.

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During the spring–summer period on Banks Island, Northwest Territories, Canada, muskoxen (Ovibos moschatus) in mixed age–sex herds spent similar amounts of time foraging and resting. However, calves foraged less and rested more than adults and yearlings, and dominant rutting males foraged less but spent more time in active nonforaging behaviours than other adults. Based on fecal analysis, adult females, subadults, yearlings, and calves each consumed proportionately more dicotyledonous forages (dicots) than adult males. For adult females, subadults, and calves this was due to a proportionately greater consumption of forbs; for yearlings it was due to their proportionately greater use of both shrubs (mostly Salix spp.) and forbs. The feces of yearlings contained a significantly higher proportion of dicots (especially shrubs) than those of adult females, and those of juveniles a higher ratio of Salix leaves to stems than those of adults. Adult male feces contained a significantly greater proportion of sedges and rushes than those of adult females or calves, while the feces of adult females and calves contained significantly more sedges and rushes than those of yearlings. There was a seasonal decline in dicot consumption for all muskoxen except adult males. These age–sex differences in fecal composition were consistent with behavioural observations of time allocated to foraging in dicot-dominated habitats and suggest that young muskoxen and adult females satisfied their particular nutritional requirements by specifically selecting dicot-dominated habitats within the areas occupied by mixed age–sex herds.
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37

Hsu, Shang H., Chien C. Huang, Yang H. Tsuang, and Jui S. Sun. "Age-Related Differences in Remote Pointing Performance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, no. 1 (October 1997): 148–51. http://dx.doi.org/10.1177/107118139704100134.

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The present study investigated age-related differences in remote pointing performance. Three age groups (i.e., the Young adult. Middle-aged, and Elderly) performed cursor positioning tasks by using a remote pointing device. The time taken to reposition the cursor was collected. The result showed that age groups had differences in movement time. Further analysis on the submovement duration times showed that movement time for the Young-adult group was mostly travel time, while the Elderly subjects spent most of their movement time on fine adjustment. This study supports the proposition that different age groups exhibit different kinds of movement patterns.
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38

Smith, M. Cecil, Nancy DeFrates-Densch, Thomas O. Schrader, Susan F. Crone, Denise Davis, Deborah J. Pumo, Joan T. Runne, and Preston C. van Loon. "Age and Skill Differences in Adaptive Competence." International Journal of Aging and Human Development 39, no. 2 (September 1994): 121–36. http://dx.doi.org/10.2190/mlk2-hvue-d0ym-dabn.

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Previous research has documented qualitative changes in certain cognitive abilities during the older adult years, such as in short-term memory, perceptual and motor skills, and attentional capacities. Other work has suggested that a number of significant age-related changes, across a variety of cognitive abilities, are based on social experiences, such as occupational or recreational activities. The current study is based on earlier research by Perlmutter and her colleagues (1990) and examines age and skill-related differences among adults engaged in a social-recreational activity. BINGO players, ranging in age from nineteen to seventy-four, and having from less than two months to over twenty years of playing experience, were given a variety of psychometric, cognitive, and experimental measures. The participants were also observed as they played real BINGO games. No age-related differences were found on the psychometric or memory measures, suggesting that BINGO playing experience may have positive benefits for many older adults. Skilled players at all age levels were found to be more efficient in their game-playing actions. The oldest and most experienced players did not differ from the younger, equally experienced, players on the cognitive and skill-based tasks. These findings demonstrate the need to investigate adaptive competence in those situations in which social-environmental factors play a role in enhancing older adults' cognitive skills.
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39

Livingstone, Kimberly M., Vanessa L. Castro, and Derek M. Isaacowitz. "Age Differences in Beliefs About Emotion Regulation Strategies." Journals of Gerontology: Series B 75, no. 2 (February 21, 2018): 316–26. http://dx.doi.org/10.1093/geronb/gby022.

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Abstract Objectives Age shifts in emotion regulation may be rooted in beliefs about different strategies. We test whether there are age differences in the beliefs people hold about specific emotion regulation strategies derived from the process model of emotion regulation and whether profiles of emotion beliefs vary by age. Method An adult life-span sample (N = 557) sorted 13 emotion regulation strategies either by (a) how effective the strategies would be or (b) how likely they would be to use them, in 15 negative emotion-eliciting situations. Results Younger adults ranked attentional and cognitive distraction more effective than older adults, and preferred avoidance, distraction, and rumination more (and attentional deployment less) than middle-aged and older adults. Latent profile analysis on preferences identified three distinct strategy profiles: Classically adaptive regulators preferred a variety of strategies; situation modifiers showed strong preferences for changing situations; a small percentage of people preferred avoidance and rumination. Middle-aged and older adults were more likely than younger adults to be classically adaptive regulators (as opposed to situation modifiers or avoiders/ruminators). Discussion These findings provide insight into the reasons people of different ages may select and implement different emotion regulation strategies, which may influence their emotional well-being.
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40

Mudrack, Peter E. "Age-Related Differences in Machiavellianism in an Adult Sample." Psychological Reports 64, no. 3_suppl (June 1989): 1047–50. http://dx.doi.org/10.2466/pr0.1989.64.3c.1047.

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This research investigated age-related differences in Machiavellianism among adults. In this sample of 252 (135 women, 117 men, age range = 17 yr. to 66 yr.), Mach scores appeared to decline with age; respondents aged 38 yr. and older had significantly lower scores than did the two younger groups of respondents (17 yr. to 21 yr., and 22 yr. to 24 yr.). No evidence of nonlinearity in the age-Machiavellianism relationship could be detected.
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41

Salthouse, Timothy A., David Z. Hambrick, Kristen E. Lukas, and T. C. Dell. "Determinants of adult age differences on synthetic work performance." Journal of Experimental Psychology: Applied 2, no. 4 (December 1996): 305–29. http://dx.doi.org/10.1037/1076-898x.2.4.305.

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42

Madden, David J., Matthew C. Costello, Nancy A. Dennis, Simon W. Davis, Anne M. Shepler, Julia Spaniol, Barbara Bucur, and Roberto Cabeza. "Adult age differences in functional connectivity during executive control." NeuroImage 52, no. 2 (August 15, 2010): 643–57. http://dx.doi.org/10.1016/j.neuroimage.2010.04.249.

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43

Kwong See, Sheree T., and Ellen Bouchard Ryan. "Cognitive mediation of adult age differences in language performance." Psychology and Aging 10, no. 3 (1995): 458–68. http://dx.doi.org/10.1037/0882-7974.10.3.458.

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44

Titov, Nickolai, and Robert G. Knight. "Adult age differences in controlled and automatic memory processing." Psychology and Aging 12, no. 4 (1997): 565–73. http://dx.doi.org/10.1037/0882-7974.12.4.565.

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45

Gould, Odette N., Lee Trevithick, and Roger A. Dixon. "Adult age differences in elaborations produced during prose recall." Psychology and Aging 6, no. 1 (1991): 93–99. http://dx.doi.org/10.1037/0882-7974.6.1.93.

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46

Madden, David J., Thomas W. Pierce, and Philip A. Allen. "Adult age differences in attentional allocation during memory search." Psychology and Aging 7, no. 4 (1992): 594–601. http://dx.doi.org/10.1037/0882-7974.7.4.594.

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47

La Voie, Donna, and Leah L. Light. "Adult age differences in repetition priming: A meta-analysis." Psychology and Aging 9, no. 4 (1994): 539–53. http://dx.doi.org/10.1037/0882-7974.9.4.539.

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48

Risse, Sarah, and Reinhold Kliegl. "Adult age differences in the perceptual span during reading." Psychology and Aging 26, no. 2 (2011): 451–60. http://dx.doi.org/10.1037/a0021616.

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49

Mata, Rui, Bettina von Helversen, Linnea Karlsson, and Lutz Cüpper. "Adult age differences in categorization and multiple-cue judgment." Developmental Psychology 48, no. 4 (2012): 1188–201. http://dx.doi.org/10.1037/a0026084.

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50

Earles, Julie L., and Alan W. Kersten. "Adult Age Differences in Memory for Verbs and Nouns." Aging, Neuropsychology, and Cognition 7, no. 2 (June 1, 2000): 130–39. http://dx.doi.org/10.1076/1382-5585(200006)7:2;1-u;ft130.

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