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Essay / Research Paper Abstract
A 4 page paper analyzing the use of statistics in a specific study. It could be useful to compare means derived from the qualitative and quantitative portions of the study, followed by ANOVA assessment of variances between the two. Comparing these very different sections to compare results could enhance the study’s internal validity. Bibliography lists 2 sources.
Page Count:
4 pages (~225 words per page)
File: CC6_KSstatStuAnaly.rtf
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Unformatted sample text from the term paper:
Thomson (2001) sought to determine whether the existence of community networks enhances the social capital in rural Scotland. She chose to study a single community network site, assessing the
qualities of the site and surveying visitors reactions and comments. In addition to the primary research question, Thomson also sought to determine * "Can new technologies be employed to
enhance communities? * "What do community networks provide, and who uses these networks? * "To what extent can the use of Community Networks create social capital in rural communities?" (Thomson,
2001). Thomson (2001) sought to answer these research questions using a combination of quantitative and qualitative measures. The purpose here is to
examine Thomsons (2001) methods in terms of possible statistical analyses. Methods Measurement Scales Thomson (2001) seeks to assess what contribution the Caithness Community
Web Site makes to the local and global community. Either one of these variables can be described as having interval properties in that users of the site have different
motivations for visiting and for using the site. The interval scale is that which allows the researcher "to not only rank order the items that are measured, but also
to quantify and compare the sizes of differences between them" (Electronic Statistics Textbook, 2003). The interval scale allows Thomson (2001) to form separate groups - local and global users
- and to compare differences in the size of each group. The same two variables can be ranked on an ordinal scale as
well. The ordinal scale of measurement "represents the ranks of a variables values" (Electronic Statistics Textbook, 2003). Values measured on this scale "contain information about their relationship to
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