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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Creating an Expected Profile for Affinity 2.5 from a Sample of Non-Pedophilic, Exculsively Heterosexual, College-Age Females

Worsham, Marie 18 May 2010 (has links) (PDF)
The Affinity, an instrument designed to measure sexual interest using viewing time, has recently been upgraded from version 2.0 to version 2.5. The Affinity presents slides depicting non-pornographic images of people varying by age and gender. The expected Chi square weights established for Affinity 2.0 for non-pedophilic, exclusively heterosexual females may have been impacted by Affinity 2.5's 42.9% increase in the number of slides. There were two purposes to this study. The first was to establish new expected Chi square weights for non-pedophilic, exclusively heterosexual females using Affinity 2.5. The second purpose was to employ a Chi square procedure (in place of traditional correlational methods) to re-examine the temporal stability of the Affinity 2.0. Data from 63 participants, who were administered the Affinity 2.5, were analyzed. Results of the analyses revealed notable similarity between the expected Chi square weights created for Affinity 2.5 and those for Affinity 2.0. The re-examination of Affinity 2.0 temporal stability using Chi-square procedures suggested that 86% of subjects were consistent in their responses from time 1 to time 2.
2

Methods of Statistical Analysis for Interaction and Main Effects Contributing to an All or Nothing Trait

Fyon, Carolyn 10 1900 (has links)
An analysis of the presence or absence of black melanin in broiler chickens as affected by the presence of different traits is studied in the following project. The purpose of this analysis is to show that the simple partitioning of chi-square method is as good as any method. This project also shows the equivalence of different statistical methods. / Thesis / Master of Science (MSc)

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