| Literature DB >> 24431996 |
Abstract
Forty-four children between 6;0 and 7;11 took part in a study of derived fact strategy use. They were assigned to addition and subtraction levels on the basis of calculation pretests. They were then given Dowker's (1998) test of derived fact strategies in addition, involving strategies based on the Identity, Commutativity, Addend +1, Addend -1, and addition/subtraction Inverse principles; and test of derived fact strategies in subtraction, involving strategies based on the Identity, Minuend +1, Minuend -1, Subtrahend +1, Subtrahend -1, Complement and addition/subtraction Inverse principles. The exact arithmetic problems given varied according to the child's previously assessed calculation level and were selected to be just a little too difficult for the child to solve unaided. Children were given the answer to a problem and then asked to solve another problem that could be solved quickly by using this answer, together with the principle being assessed. The children also took the WISC Arithmetic subtest. Strategies differed greatly in difficulty, with Identity being the easiest, and the Inverse and Complement principles being most difficult. The Subtrahend +1 and Subtrahend -1 problems often elicited incorrect strategies based on an overextension of the principles of addition to subtraction. It was concluded that children may have difficulty with understanding and applying the relationships between addition and subtraction. Derived fact strategy use was significantly related to both calculation level and to WISC Arithmetic scaled score.Entities:
Keywords: addition; arithmetical reasoning; derived fact strategies; mathematical development; subtraction; young children
Year: 2014 PMID: 24431996 PMCID: PMC3880841 DOI: 10.3389/fnhum.2013.00924
Source DB: PubMed Journal: Front Hum Neurosci ISSN: 1662-5161 Impact factor: 3.169
Addition strategies used at different levels.
| Problem within range | 2 + 2 | 5 + 3 | 8 + 6 | 23 + 44 | 52 + 39 | |||
| Problem just outside range | 5 + 3 | 8 + 6 | 23 + 44 | 52 + 39 | 523 + 168 | |||
| 11 | 34 | 63 | 16 | 20 | 144 | |||
| Mean age in months | 79.88 (6.63) | 80.98 (6.5) | 82.04 (6.3) | 83.54 (3.82) | 84.65 (5.98) | 81.95 (6.23) | ||
| Mean arithmetic scaled score | 3.86 (1.07) | 8.89 (2.31) | 10.62 (3.09) | 10.7 (3.68) | 12.19 (4.12) | 9.97 (3.59) | χ2 | |
| Identity | 22% | 56% | 80% | 88% | 95% | 73% | 25.66 | 0.000 |
| Commutativity | 9% | 38% | 65% | 82% | 70% | 57% | 28.00 | 0.000 |
| Addend +1 | 0% | 24% | 51% | 71% | 75% | 56% | 28.04 | 0.000 |
| Addend −1 | 0% | 18% | 40% | 59% | 65% | 37% | 22.06 | 0.000 |
| Inverse | 0% | 18% | 6% | 35% | 25% | 14% | 9.59 | 0.031 |
p < 0.05;
p < 0.01.
Subtraction strategies used at different levels.
| Problem within range | ? | 6–3 | 12–5 | 58–34 | |||
| Problem just outside range | 6–3 | 12–5 | 58–34 | 82–26 | |||
| 18 | 56 | 48 | 22 | 144 | |||
| Mean age in months | 79.88 (6.63) | 80.98 (6.5) | 82.87 (5.84) | 85.63 (4.59) | 81.95 (6.23) | ||
| Mean arithmetic scaled score | 4.82 (1.94) | 9.39 (2.58) | 11.4 (3.33) | 12.31 (3.61) | 9.97 (3.59) | ||
| Identity | 17% | 61% | 77% | 86% | 65% | 29.49 | 0.000 |
| Minuend +1 | 0% | 23% | 54% | 71% | 38% | 35.26 | 0.000 |
| Minuend −1 | 0% | 21% | 50% | 71% | 56% | 9.42 | 0.022 |
| Subtrahend +1 | 0% + 6% | 20% + 4% | 60% + 4% | 55% + 22% | 38% + 6% | 1.92a 9.66b | 0.775a 0.02 |
| Subtrahend -1 | 0% + 6% | 20% + 2% | 54% + 6% | 43% + 29% | 33% + 7% | 2.45a 11.23b | 0.57a 0.009 |
| Complement | 0% | 18% | 6% | 35% | 14% | 9.43 | 0.022 |
| Inverse | 0% | 7% | 17% | 27% | 12% | 8.56 | 0.026 |
p < 0.05
p < 0.01
aAnalysis for correct strategy only.
bAnalysis for combination of correct strategy with common incorrect strategy.
Results of nominal logistic regressions on the use of addition strategies with age and arithmetic scaled score as covariates.
| Identity | 4.505 | 0.034 | 4.92 | 0.034 |
| Commutativity | 4.66 | 0.031 | 3.885 | 0.049 |
| Addend +1 | 2.73 | 0.099 | 8.045 | 0.005 |
| Addend −1 | 3.32 | 0.069 | 7.64 | 0.006 |
| Inverse | 1.43 | 0.232 | 0.027 | 0.87 |
p < 0.05;
p < 0.01.
In all chi-square comparisons, df = 1.
Results of nominal logistic regression on use of subtraction strategies with age and arithmetic scaled score as covariates.
| Identity | 4.86 | 0.041* | 6.84 | 0.009 |
| Minuend +1 | 8.265 | 0.004 | 14.77 | 0.000 |
| Minuend −1 | 3.3 | 0.068 | 10.9 | 0.001 |
| Subtrahend +1 | 1.86a; 3.3b | 0.24a; 0.07b | 0.12a; 1.37b | 0.73a; 0.24b |
| Subtrahend −1 | 4.42a; 4.43b | 0.035 | 0.57a; 0.7b | 0.45a; 0.4b |
| Complement | 4.915 | 0.027 | 2.13 | 0.145 |
| Inverse | 0.88 | 0.348 | 5.45 | 0.02 |
p < 0.05;
p < 0.01.
aAnalysis for correct strategy only.
bAnalysis for combination of correct strategy with common incorrect strategy.
| (1) 6 + 3 | (11) 31 + 57 |
| (2) 4 + 5 | (12) 68 + 21 |
| (3) 8 + 2 | (13) 52 + 39 |
| (4) 7 + 1 | (14) 45 + 28 |
| (5) 4 + 9 | (15) 33 + 49 |
| (6) 7 + 5 | (16) 26 + 67 |
| (7) 8 + 6 | (17) 235 + 142 |
| (8) 9 + 8 | (18) 613 + 324 |
| (9) 26 + 72 | (19) 523 + 168 |
| (10) 23 + 44 | (20) 349 + 234 |
| (1) 6 − 2 | (11) 68 − 42 |
| (2) 8 − 4 | (12) 86 − 44 |
| (3) 10 − 3 | (13) 62 − 14 |
| (4) 9 − 5 | (14) 43 − 17 |
| (5) 15 − 7 | (15) 75 − 38 |
| (6) 13 − 6 | (16) 84 − 59 |
| (7) 12 − 4 | (17) 326 − 125 |
| (8) 15 − 7 | (18) 894 + 513 |
| (9) 37 − 23 | (19) 681 − 214 |
| (10) 55 − 32 | (20) 572 − 348 |