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Abstract

The ability to remember associations among components of an event, which is central to episodic memory, declines with normal aging. In accord with the specificity principle of memory, these declines may occur because associative memory requires retrieval of specific information. Guided by this principle, we endeavored to determine whether ubiquitous age-related deficits in associative memory are restricted to specific representations or extend to the gist of associations. Young and older adults (30 each in Experiment 1, 40 each in Experiment 2) studied face–scene pairs and then performed associative-recognition tests following variable delays. Whereas both young and older adults could retrieve the gist of associations, older adults were impaired in their ability to retrieve more specific representations. Our results also show that associations can be retrieved from multiple levels of specificity, suggesting that episodic memory might be accessed on a continuum of specificity.

Keywords

memory aging associative recognition conjoint recognition principles of memory multinomial-processing-tree models open data

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References

Batchelder

W. H.

Alexander

G. E.

(2013). Discrete-state models: Comment on Pazzaglia, Dube, and Rotello (2013). Psychological Bulletin, 139, 1204–1212.

Boywitt

C. D.

Kuhlmann

B. G.

Meiser

(2012). The role of source memory in older adults’ recollective experience. Psychology and Aging, 27, 484–497.

Brainerd

C. J.

Gomes

C. F. A.

Moran

(2014). The two recollections. Psychological Review, 121, 563–599.

Brainerd

C. J.

Reyna

V. F.

(2015). Fuzzy-trace theory and lifespan cognitive development. Developmental Review, 38, 89–121.

Bürkner

P. C.

(2017). brms: An R package for Bayesian multilevel models using Stan. Journal of Statistical Software, 80(1). doi:10.18637/jss.v080.i01

Castel

A. D.

(2005). Memory for grocery prices in younger and older adults: The role of schematic support. Psychology and Aging, 20, 718–721.

Castel

A. D.

McGillivray

Worden

K. M.

(2013). Back to the future: Past and future era-based schematic support and associative memory for prices in younger and older adults. Psychology and Aging, 28, 996–1003.

Chen

Naveh-Benjamin

(2012). Assessing the associative deficit of older adults in long-term and short-term/working memory. Psychology and Aging, 27, 666–682.

Craik

F. I. M.

(2002). Levels of processing: Past, present . . . and future? Memory, 10, 305–318.

10.

Devitt

A. L.

Schacter

D. L.

(2016). False memories with age: Neural and cognitive underpinnings. Neuropsychologia, 91, 346–359.

11.

Dixon

(2008). Models of accuracy in repeated-measures designs. Journal of Memory and Language, 59, 447–456.

12.

Dube

Rotello

C. M.

(2012). Binary ROCs in perception and recognition memory are curved. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38, 130–151.

13.

Ebner

N. C.

Riediger

Lindenberger

(2010). FACES—A database of facial expressions in young, middle-aged, and older women and men: Development and validation. Behavioral Research Methods, 42, 351–362.

14.

Folstein

M. F.

Folstein

S. E.

McHugh

P. R

. (1975). “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189–198.

15.

Gelman

Jakulin

Pittau

M. G.

Y.-S.

(2008). A weakly informative default prior distribution for logistic and other regression models. The Annals of Applied Statistics, 2, 1360–1383.

16.

Gruppuso

Lindsay

D. S.

Masson

M. E. J.

(2007). I’d know that face anywhere! Psychonomic Bulletin & Review, 14, 1085–1089.

17.

Heck

D. W.

Arnold

N. R.

Arnold

(2018). TreeBUGS: An R package for hierarchical multinomial-processing-tree modeling. Behavioral Research Methods, 50, 264–284.

18.

Klauer

K. C.

(2010). Hierarchical multinomial processing tree models: A latent-trait approach. Psychometrika, 75, 70–98.

19.

Konkle

Brady

T. F.

Alvarez

G. A.

Oliva

(2010). Scene memory is more detailed than you think: The role of categories in visual long-term memory. Psychological Science, 21, 1551–1556.

20.

Kruschke

J. K.

(2011). Bayesian assessment of null values via parameter estimation and model comparison. Perspectives on Psychological Science, 6, 299–312.

21.

Kruschke

J. K.

(2018). Rejecting or accepting parameter values in Bayesian estimation. Advances in Methods and Practices in Psychological Science, 1, 270–280.

22.

Luo

Craik

F. I. M.

(2009). Age differences in recollection: Specificity effects at retrieval. Journal of Memory and Language, 60, 421–436.

23.

Naveh-Benjamin

(2000). Adult age differences in memory performance: Tests of an associative deficit hypothesis. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 1170–1187.

24.

Old

S. R.

Naveh-Benjamin

(2008). Differential effects of age on item and associative measures of memory: A meta-analysis. Psychology and Aging, 23, 104–118.

25.

Pazzaglia

A. M.

Dube

Rotello

C. M.

(2013). A critical comparison of discrete-state and continuous models of recognition memory: Implications for recognition and beyond. Psychological Bulletin, 139, 1173–1203.

26.

R Core Team. (2018). R: A language and environment for statistical computing (Version 3.4.4) [Computer software]. Retrieved from http://www.R-project.org/

27.

Reyna

V. F.

Brainerd

C. J.

(1991). Fuzzy-trace theory and framing effects in choice: Gist extraction, truncation, and conversion. Journal of Behavioral Decision Making, 4, 249–262.

28.

Reyna

V. F.

Brainerd

C. J.

(1995). Fuzzy-trace theory: An interim synthesis. Learning and Individual Differences, 7, 1–75.

29.

Roediger

H. L.

III . (2008). Relativity of remembering: Why the laws of memory vanished. Annual Review of Psychology, 59, 225–254.

30.

Roediger

H. L.

III McDermott

K. B.

(1995). Creating false memories: Remembering words not presented in lists. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 803–814.

31.

Rotello

C. M.

(2017). Signal detection theories of recognition memory. In Byrne

J. H.

(Ed.), Learning and memory: A comprehensive reference (2nd ed.). San Diego, CA: Academic Press.

32.

Rouder

J. N.

(2014). Optional stopping: No problem for Bayesians. Psychonomic Bulletin & Review, 21, 301–308.

33.

Schneider

Eschman

Zuccolotto

(2012). E-Prime 2.0 reference guide manual. Pittsburgh, PA: Psychology Software Tools.

34.

Smith

J. B.

Batchelder

W. H.

(2008). Assessing individual differences in categorical data. Psychonomic Bulletin & Review, 15, 713–731.

35.

Smith

J. B.

Batchelder

W. H.

(2010). Beta-MPT: Multinomial processing tree models for addressing individual differences. Journal of Mathematical Psychology, 54, 167–183.

36.

Stahl

Klauer

K. C.

(2008). A simplified conjoint recognition paradigm for the measurement of gist and verbatim memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 34, 570–586.

37.

Surprenant

A. M.

Neath

(2009). Principles of memory. New York, NY: Psychology Press.

38.

Tulving

(1983). Elements of episodic memory. Oxford, England: Clarendon Press.

39.

Tun

P. A.

Wingfield

Rosen

M. J.

Blanchard

(1998). Response latencies for false memories: Gist-based processes in normal aging. Psychology and Aging, 13, 230–241.

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