170 research outputs found
Latent class analysis variable selection
We propose a method for selecting variables in latent class analysis, which is the most common model-based clustering method for discrete data. The method assesses a variable's usefulness for clustering by comparing two models, given the clustering variables already selected. In one model the variable contributes information about cluster allocation beyond that contained in the already selected variables, and in the other model it does not. A headlong search algorithm is used to explore the model space and select clustering variables. In simulated datasets we found that the method selected the correct clustering variables, and also led to improvements in classification performance and in accuracy of the choice of the number of classes. In two real datasets, our method discovered the same group structure with fewer variables. In a dataset from the International HapMap Project consisting of 639 single nucleotide polymorphisms (SNPs) from 210 members of different groups, our method discovered the same group structure with a much smaller number of SNP
Selective Exposure to Berita Harian Online and Utusan Malaysia Online: The Roles of Surveillance Motivation, Website Usability and Website Attractiveness
News media allows audiences to be selective in determining both their news sources
and type of news stories they read. This study examined factors influencing selective
exposure to the online editions of two mainstream Malaysian newspapers, Berita
Harian and Utusan Malaysia. Using selective exposure theory as the theoretical
lens, this study compared both newspapers in terms of their audiences’ level of
surveillance motivation, and how audiences rate the newspapers’ websites with respect
to usability and attractiveness. This study used a within-subject experimental research
design that exposed 51 subjects to both Berita Harian and Utusan Malaysia online
newspapers. The results of the experiment indicate that Berita Harian and Utusan
Malaysia online were significantly different in terms of website usability; however,
no significant differences were found in terms of surveillance motivation or website
attractiveness between the two newspapers. Further analysis indicate that the only
significant predictor of selective exposure was website usability. This study highlights
the importance of website usability for online newspapers wanting to harness audience
selectivity
Public Opinion During the Watergate Crisis
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/67551/2/10.1177_009365027400100404.pd
- …