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Parties, Candidates and Citizens On-Line - Åbo Akademi

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sophistication index. These parties seem to have put more resources into constructing <strong>and</strong><br />

maintaining their websites (cf. Gibson et al. 2003a, 50; Margolis et al. 2003, 57-58).<br />

Correspondingly, these parties were also earlier found to be the ones putting the most<br />

labour input into their websites (Table 1) 7.<br />

Still, are there any party patterns in the finding concerning the website contents<br />

traceable to the circumstances outlined in the theoretical backdrop? In Table 5, the result<br />

of a two-step cluster analysis for the website indexes is presented. As Table 5 reveals, the<br />

automatic clustering algorithm found two party clusters on the basis of the website<br />

content indexes.<br />

Table 5. Two clusters of party websites: mean scores on the website content indexes.<br />

Clusters N<br />

Internal<br />

administration<br />

& information<br />

(0-23)<br />

Campaigning<br />

& General<br />

information<br />

(0-19)<br />

Participation &<br />

Bottom-up<br />

communication<br />

(0-13)<br />

Presentation<br />

&<br />

Sophistication<br />

(0-33)<br />

Cluster I 9 16.44 13.00 7.33 16.78<br />

Cluster II 6 8.67 4.17 3.17 6.67<br />

Combined 15 13.33 9.467 5.67 12.73<br />

Note: Independent samples T-test: the clusters differ significantly on the internal efficiency<br />

(t=4.749 df=13 p.=.000), electioneering (t=6.411 df=13 p.=.000), participation (t=3.781 df=13<br />

p.

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