Have a personal or library account? Click to login
Modelling Working Memory Capacity: Is the Magical Number Four, Seven, or Does it Depend on What You Are Counting? Cover

Modelling Working Memory Capacity: Is the Magical Number Four, Seven, or Does it Depend on What You Are Counting?

Open Access
|Jul 2024

Figures & Tables

joc-7-1-387-g1.png
Figure 1

Example of a level-7 CSVI stimulus. The present features are red color, large figure, frame around the figure, X in the centre, O in the centre, bar under the figure, purple background. The absent features are square shape and dashed outline.

joc-7-1-387-g2.png
Figure 2

One of the six masks used in Experiments 1b and 1c.

joc-7-1-387-g3.png
Figure 3

Mean and 95% CI of the k estimates in experiments 1a–1c by experiment and condition. Note that all confidence intervals overlap with one another.

Table 1

Observed and expected means of correct responses per trial, by level for short and long presentation.

LEVELOBS. LONGOBS. SHORTOBS.SH/L RATIOEXP. LONGEXP. SHORTEXP. SH/L RATIO
(a) Experiment 1a
21.991.890.951.961.870.95
32.862.780.972.882.690.91
43.883.460.893.773.290.87
54.533.840.854.623.890.84
65.394.440.825.444.420.81
76.085.090.846.244.900.79
86.735.300.796.474.180.65
(b) Experiment 1b
22.001.640.821.961.750.89
32.932.310.792.882.330.81
43.792.710.723.772.800.74
54.593.090.674.623.180.69
65.313.480.655.443.500.64
76.113.910.646.243.770.60
86.634.140.626.473.690.57
(c) Experiment 1c
21.961.890.961.961.910.97
32.882.660.932.882.740.95
43.713.440.933.773.500.93
54.553.960.874.624.200.91
65.204.710.915.444.850.89
75.995.250.886.245.440.87
86.545.880.906.476.000.93

[i] Note: Obs. Long = Observed mean in the long condition. Obs. Short = Observed mean in the short condition. Obs. Sh/L Ratio = Ratio between observed means in the short and long conditions. Exp. Long = Expected mean from the B-E model (with k = 7) in the long condition. Exp. Short = Expected mean from the B-E model (with k = 7) in the short condition. Exp. Sh/L Ratio = Ratio between expected means in the short and long conditions.

joc-7-1-387-g4.png
Figure 4

Example procedure of a VAT trial, with a stimulus of set size 8, and a color change in the probe.

joc-7-1-387-g5.png
Figure 5

Mean and 95% CI of the k estimates obtained from Cowan’s (2001b) formula by presentation time and set size in Experiment 2.

Table 2

Parameter estimates obtained in Experiment 2 by analyzing with WoMMBAT the VAT data separately for short and long presentation.

PRESENTATION TIMEPARAMETERMEANS.D.
Short (120 ms)k (capacity)5.59.713
z (non-lapse).813.084
g (guessing).404.138
Long (5 s)k (capacity)8.471.11
z (non-lapse).892.098
g (guessing).502.117
Table 3

Correlations (and 95% confidence intervals) between parameter estimates obtained from the CSVI and the VAT (analyzed with WoMMBAT) in Experiment 2.

K CSVIK VAT SHORTK VAT LONGZ VAT SHORTZ VAT LONGG VAT SHORTG VAT LONG
k – CSVI1
k – VAT short  .48** (.24, .67)  1
k – VAT long  .29* (.01, .52)  .57** (.34, .73)  1
z – VAT short  .44** (.18, .64)  .89** (.82, .94)  .58** (.36, .74)  1
z – VAT long  .54** (.31, .71)  .59** (.38, .75)  .42** (.16, .62)  .63** (.43, .78)  1
g – VAT short  .01 (–.27, .29)  .02 (–.26, .30)–.04 (–.31, .24)–.04 (–.32, .24)–.16 (–.42, .12)1
g – VAT long–.15 (–.41, .14)–.21 (–.46, .07)–.03 (–.30, .25)–.28 (–.51, .002)–.36* (–.58, –.10).56** (.33, .73)1

[i] Note: * p < 0.05 two-tailed; ** p < 0.01 two-tailed.

joc-7-1-387-g6.png
Figure 6

Mean and 95% CI of the k estimates obtained from Cowan’s (2001b) formula by presentation time and set size in Experiment 3.

Table 4

Parameter estimates obtained in Experiment 3 by analyzing with WoMMBAT the VAT data separately for short and long presentation.

PRESENTATION TIMEPARAMETERMEANS.D.
Short (120 ms)k (capacity)4.39.571
z (non-lapse).937.030
g (guessing).479.133
Long (5 s)k (capacity)7.011.77
z (non-lapse).964.019
g (guessing).540.099
Table 5

Correlations (and 95% confidence intervals) between parameter estimates obtained from the CSVI and the VAT (analyzed with WoMMBAT) in Experiment 3.

K CSVIK VAT SHORTK VAT LONGZ VAT SHORTZ VAT LONGG VAT SHORTG VAT LONG
k – CSVI  1
k – VAT short  .60** (.26, .81)  1
k – VAT long  .61** (.27, .81)  .52** (.15, .76)  1
z – VAT short  .40 (–.01, .69)  .44* (.04, .71)  .32 (–.09, .64)  1
z – VAT long  .14 (–.28, .51)  .07 (–.34, .46)  .07 (–.35, .46)  .25 (–.17, .59)1
g – VAT short–.36 (–.67, .05)  .01 (–.39, .41)–.08 (–.47, .33)–.08 (–.47, .34).24 (–.18, .59)1
g – VAT long  .01 (–.40, .41)–.03 (–.43, .38)–.14 (–.52, .28)–.23 (–.58, .19).32 (–.10, .64).43* (.03, .71)1

[i] Note: * p < 0.05, two-tailed; ** p < 0.01, two-tailed.

joc-7-1-387-g7.png
Figure 7

Distributions of correct responses for each CSVI stimulus level from 2 to 8 with long presentation and expected distributions from the Bose-Einstein model.

joc-7-1-387-g8.png
Figure 8

Mean and 95% CI of the k estimates by experiment, task, and condition.

joc-7-1-387-g9.png
Figure 9

Correlation between the k scores in the short VAT and the long CSVI (left panel adults, right panel adolescents).

DOI: https://doi.org/10.5334/joc.387 | Journal eISSN: 2514-4820
Language: English
Submitted on: Nov 7, 2023
|
Accepted on: Jul 3, 2024
|
Published on: Jul 18, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Sergio Morra, Paola Patella, Lorenzo Muscella, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.