文章基本信息

标题：Validating Biosecurity Principles for Indigenous Chicken Scale
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作者：Fredrick Onyango Aila ; Dr. Isaac Ochieng ; Dr. David Oima 等
期刊名称：Universal Journal of Management
印刷版ISSN：2331-950X
电子版ISSN：2331-9577
出版年度：2013
卷号：1
期号：1
页码：22-31
DOI：10.13189/ujm.2013.010104
语种：English
出版社：Horizon Research Publishing
摘要：Indigenous chicken are populous in most developing countries, supporting the livelihoods of many rural folks yet are produced under very low or no biosecurity principles, leading to low productivity. Consumers on the contrary, exhibit high preferences for indigenous chicken. The research question was: what are the consumer attitudes on biosecurity principles for indigenous chicken? The aim of the study was to validate a psychometric scale to measure consumer attitudes on biosecurity principles for indigenous chicken. The sub-aims were to reduce scale so it clearly measures the constructs and to test one hypothesis: H0: There are no significant consumer attitudes on biosecurity principles for indigenous chicken in Kisumu City, Kenya. Starting from a 74-item with 4:1 subject to item ratio biosecurity principles for indigenous chicken scale constructed using Fishbein’s Multiattribute model, the hypothesis was tested on pilot data gathered from 300 students of a large university in Kisumu County, Kenya using maximum likelihood factor analysis. Reliabilities for each biosecurity principle ranged from α=.817 to α=.817 respectively. Initial KMO were low ranging between .519 to .595 but improved significantly after refining the scale. Only one factor was extracted from each principle based on theory. Each extracted factor explained variances ranging from 25.099% to 34.307% respectively, though <50 percent. A total of 37 items loaded on these four factors with respect to the four biosecurity principles. The factor matrices for each extracted factor were significant at p=.000 and p<.05 respectively. Thus the null hypothesis was rejected. The results can further be confirmed in subsequent studies.
关键词：Maximum Likelihood;Exploratory Factor Analysis;Principal Component Analysis;Fishbein Multi-Attribute Model;Biosecurity Principles;Perceived Benefits;Perceived Concerns