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Age-Related Differences in Naming Latency Variability Cover

Age-Related Differences in Naming Latency Variability

Open Access
|Sep 2026
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Figures & Tables

Table 1

Mean and standard deviation (SD) of frequency (Zipf scale), age of acquisition (AoA) ratings, and name agreement (H-index) for the words/pictures in each list.

LISTFREQUENCY MEANFREQUENCY SDAOA MEANAOA SDH-INDEX MEANH-INDEX SD
14.170.485.391.430.130.15
24.280.645.481.690.130.17
Figure 1

Densities of participants’ mean naming latencies by session and group.

Table 2

Output of the model testing the effect of age on naming latencies.

SESSIONTERMESTIMATELOWERUPPER
Session 1Intercept1018.08991.801044.27
Group82.8335.43131.58
Session 2Intercept1023.48994.991052.17
Group82.2631.30132.37
Figure 2

Sensitivity analysis of Bayes factors for age-related slowing in picture naming in the first (left) and second (right) test sessions.

Note. Data points in the upper half of the figure represent evidence for the hypothesis that older adults exhibit slower naming latencies than younger adults (H1), whereas data points in the lower half represent evidence for the hypothesis that there is no difference in naming latencies between young and older adults (H0).

Table 3

Between-participant variability (variance) for each group and session.

SESSIONGROUPBETWEEN-PARTICIPANT VARIANCE
Session 1Old Adults14800.27
Young Adults14607.13
Session 2Old Adults15693.62
Young Adults16852.63
Table 4

Between-item variability (variance) for each group and session.

SESSIONGROUPBETWEEN-ITEM VARIABILITY
Session 1Old Adults12243.91
Young Adults8365.80
Session 2Old Adults12656.25
Young Adults7229.48
Table 5

Output of the model testing the effect of age group on the residual standard deviation (i.e., sigma).

SESSIONTERMESTIMATELOWERUPPER
Session 1Sigma Intercept5.185.115.25
Group0.01–0.110.13
Session 2Sigma Intercept5.195.125.25
Group0.03–0.090.14
Figure 3

Sensitivity analysis of Bayes factors for the effect of age group on the residual standard deviation in the first (left) and second (right) testing sessions.

Note. Data points in the upper half of the figure represent evidence for the hypothesis that older adults exhibit greater within-participant variability across trials than young adults (H1), whereas data points in the lower half represent evidence for the hypothesis that there is no difference in within-participant variability across age groups (H0).

Figure 4

Statistical power to detect an effect of age on naming latencies as a function of the number of participants per age group and the number of items.

Note. We simulate power for 10 to 100 participants in increments of 10 and for 20 to 140 items in increments of 20, and 150 items. The red line indicates 80% power.

DOI: https://doi.org/10.5334/joc.520 | Journal eISSN: 2514-4820
Language: English
Page range: 48 - 48
Submitted on: Jul 18, 2025
Accepted on: Sep 1, 2026
Published on: Sep 21, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services

© 2026 Sabia Costantini, Pamela Fuhrmeister, Audrey Bürki, Leonie F. Lampe, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.