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How Memory Counts in Mathematical Development Cover

How Memory Counts in Mathematical Development

Open Access
|Jan 2023

Figures & Tables

Table 1

Descriptive statistics for all tasks per age group.

YEAR 1 (N = 36; 16 MALES)YEAR 2 (N = 49; 25 MALES)YEAR 3 (N = 42; 24 MALES)
MSDRANGEMSDRANGEMSDRANGE
Age (months)74.033.0968–8082.333.8375–8892.244.3086–105
TEMA (raw)35.867.8517–5244.519.6629–7056.0211.4132–43
Informal TEMA27.064.9315–3431.983.2523–3835.453.5225–43
Formal TEMA6.972.842–1411.246.044–2418.126.976–29
Pathspan forwards4.351.172–74.721.152–75.450.994–8
Pathspan backwards3.691.42–64.31.042–74.430.992–6
Recall17.285.467–2919.125.7411–3022.297.176–39
Delayed Recall72.611–138.342.503–159.622.395–15
Pattern Construction24.863.6618–3225.612.9720–3228.212.7922–35
Word Definition104.643–1812.823.974–1915.604.705–23
BAS mean %48.6710.0329–6553.457.4439–6960.837.3145–73
Table 2

Spearman correlations between all tasks measured (N = 127).

1.2.3.4.5.6.7.
1. TEMA___
2. Informalr.92___
p<.001
3. Formalr.94.87___
p<.001<.001
4. Pathspan forw.r.47.47.46___
p<.001<.001<.001
5. Pathspan back.r.44.48.41.35 ___
p<.001<.001<.001<.001
6. Recallr.38.36.41.24.19___
p<.001<.001<.001.008.036
7. Delayed Recallr.30.30.32.29.20.48___
p<.001<.001<.001=.001=.025<.001
8. BASr.60.61.59.37.43.50.29
p<.001<.001<.001<.001<.001<.001<.001
Table 3

Summary of regression analysis for variables predicting overall TEMA-3 in Year 1 (N = 36).

PREDICTORSMODEL 1MODEL 2 (BAS CONTROLLED)
BETATPBETATP
Age (months)–0.81–0.21.832–0.23–0.61.548
Pathspan forwards3.242.94.0072.742.50.019
Pathspan backwards1.571.48.1510.150.12.906
Recall0.261.08.288–0.04–0.15.884
Delayed Recall–0.09–0.16.872–0.08–0.15.881
BAS//0.311.84.077
Table 4

Summary of regression analysis for variables predicting overall TEMA-3 in Year 2 (N = 49).

PREDICTORSMODEL 1MODEL 2 (BAS CONTROLLED)
BETATPBETATP
Age (months)0.782.34.0240.662.02.050
Pathspan forwards–0.38-0.34.739-0.40-0.36.718
Pathspan backwards2.842.17.0392.461.89.066
Recall0.381.57.1240.200.80.431
Delayed Recall–0.16-0.30.763-0.16-0.30.768
BAS//0.331.79.081
Table 5

Summary of regression analysis for variables predicting overall TEMA-3 in Year 3 (N = 42).

PREDICTORSMODEL 1MODEL 2 (BAS CONTROLLED)
BETATPBETATP
Age (months)0.621.60.1180.591.58.123
Pathspan forwards2.671.62.1152.521.57.125
Pathspan backwards2.701.77.0852.031.34.190
Recall0.532.20.0350.421.73.093
Delayed Recall–0.57–0.82.419–0.54–0.79.432
BAS//0.401.93.063

[i] Note: * p < .05, **p < .01, ***p < .001, 1 p = .085, 2 p = .093, 3 p = .062.

Table 6

Summary of regression analyses for variables predicting overall, informal and formal TEMA-3 scores without interactions (N = 127).

PREDICTORSMODEL 1 OVERALLMODEL 2 INFORMALMODEL 3 FORMAL
BETATPBETATPBETATP
Year 25.132.69.0083.434.60<.0012.432.12.036
Year 312.195.35<.0014.965.57<.0016.885.04<.001
Pathspan forwards1.722.41.0180.742.64.0090.761.77.079
Pathspan backwards1.972.52.0130.682.24.0270.962.05.043
Recall0.332.29.0240.040.73.4650.232.66.009
Delayed Recall–0.29–0.86.392–0.06–0.42.674–0.10–0.47.636
BAS0.312.90.0040.174.10<.0010.152.34.021
DOI: https://doi.org/10.5334/joc.248 | Journal eISSN: 2514-4820
Language: English
Submitted on: Jul 1, 2022
Accepted on: Nov 5, 2022
Published on: Jan 6, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Ilse E. J. I. Coolen, Julie Castronovo, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.