2009年3月13日 星期五

Lab Content Analysis



According to the scheme above, the content of comments was characterized by the three independent dimensions. The intention of the analysis was to reveal any emergent correlations among three attributes of comments collected in the dataset.

The affective dimension was generally quite straightforward and lent itself to comparatively easy classification. To probe the range between agreement and disagreement requires more careful judgment and usually involves more reading between the lines. The boundary between reflection and non-reflection was somewhat blurred for some occurrences of comments. Some comments showed no reflection as all; some comments demonstrated sufficient reflection while others appeared to possess marginal reflection.

Perform content analysis on the dataset of comments on the essay blogs.



<Total>
C:18(24.00%)    A:63(84%)    P:65(86.66%)
U:44(58.66%)    M:6(8%)      E:7(9.33%)
R:13(17.33%)    D:6(8%)     N:3(4.00%)

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