Appendix 7.11
Correlations between children’s expressive and receptive vocabulary for animals and
performance to the target words describing animals across testing
|
ExiNaVoAni |
ExiCoVoAni | |
|
Naming (1) |
.3318 (78) p=.003 |
.3611 (78) P=OOl |
|
Naming (2) |
.5218(78) p=.000 |
.4181 (78) p=.000 |
|
Naming (3) |
.4798 (130) p=.000 |
.3276 (BO)p=OOO |
|
M.choice (1) |
.4389 (78) p=.000 |
.4709 (78) p=.008 |
|
M.choice (2) |
.4938 (78) p=.000 |
.5179 (78) p=.000 |
|
M.choice (3) |
.2710(130) p=.002 |
.2545 (130)p=.003 |
|
Definition (1) |
.3496 (78) p=.002 |
.3002 (78) p=.008 |
|
Definition (2) |
.4533 (78) p=.000 |
.3022 (78) p=.007 |
|
Definition (3) |
.3743 (130) p=.000 |
.3093 (130)p=.000 |
|
Association (1) |
.1871 (78) p=.101 |
.2501 (78)p=.027 |
|
Association (2) |
.0791 (78) p=.491 |
.1572 (78) p=. 169 |
|
Association (3) |
.3150 (130) p=.000 |
.1630 (B0)p=.064 |
|
Contrast (1) |
-.0319(78) p=.782 |
-.0319 (78) p=.782 |
|
Contrast (2) |
.3417 (78) p=.002 |
.2002 (78) p=.079 |
|
Contrast (3) |
.3129(130) p=.000 |
.1616 (BO)P= 066 |
|
Story (1) |
.1040 (78) p=.365 |
.0716(78) p=.534 |
|
Story (2) |
.2214(78) p=.014 |
.2771 (78) p=.014 |
|
Story (3) |
.2883 (130) p=.001 |
.2843 (B0)p=.001 |
|
Cat.qu.(l) |
-.0293 (78) p=.799 |
.0947 (78) p=.410 |
|
Cat.qu.(2) |
.3078 (78) p=.006 |
.2727 (78)p=.016 |
|
Cat.qu (3) |
.3343 (130) p=.000 |
.2542 (130)p=.004 |
|
Wk,qu.(l) |
.3315 (78) p=.003 |
.1214(78) p=.290 |
|
Wk.qu.(2) |
.1500 (78) p=. 190 |
.1170(78) p=.308 |
|
Wk.qu.(3) |
.3652 (130) P=OOO |
2055 (B0)p=.019 |
Abbreviations:ExiNaVoAni= Existing Naming Vocabulary for animals; ExiCoVoAni=Existing Comprehension Vocabulary for animals; M
.choice. = Multiple choice; Cat.qu= Categorisation question Wk.qu= World knowledge question; (I)=Post test 1; (2) Post test 2; (3)=Post
test 3
394
More intriguing information
1. What Lessons for Economic Development Can We Draw from the Champagne Fairs?2. Environmental Regulation, Market Power and Price Discrimination in the Agricultural Chemical Industry
3. Fiscal Rules, Fiscal Institutions, and Fiscal Performance
4. The name is absent
5. Knowledge, Innovation and Agglomeration - regionalized multiple indicators and evidence from Brazil
6. The name is absent
7. Spousal Labor Market Effects from Government Health Insurance: Evidence from a Veterans Affairs Expansion
8. Cancer-related electronic support groups as navigation-aids: Overcoming geographic barriers
9. Forecasting Financial Crises and Contagion in Asia using Dynamic Factor Analysis
10. SOCIOECONOMIC TRENDS CHANGING RURAL AMERICA