| Type of data: Check all that apply. Use "Other" to specify other types so that we can include them in further updates. |
graph
text
number
table
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| Variable labels of dataset (the names of the variables) |
LISTENING SCORE|COUNTRY|WRITING SCORE|SPEAKING SCORE|READING SCORE|NATIVE LANGUAGE|TOTAL SCORE |
| Outline of data |
The dataset provide information about average TOEFL scores classified by native country of test takers. |
| Simulation process |
There are several methods that can be used to analyze the dataset. For instance, large score differences software can be used to detect significant changes in scores for repeat test takers. Moreover, site historical performance data should be maintained to identify any discrepancies that need to be addressed. |
| Expected outcome of the process (obtained knowledge, analysis results, output of tools) |
Evaluation of test scores can be used to assess the language proficiency of students in a target country. The policy makers such as ministers of education can benefits from such statistics as English is growing more important. |
| Anticipation for analyses/simulations other than the typical ones provided above |
We anticipate that the model can be adjusted to be more precise and eventually lead to some advisable information that may prove useful for those people who make the policy. |
Last Update：January,10,2014 Created：January,10,2014
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February,13,2022
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