文章基本信息

标题：Analysis Of The Point Scale Range: An Inference On Optimal Point Scale Range
其他标题：Katılım Düzeyi Seçenek Sayısının İncelenmesi: Optimal Katılım Düzeyi Seçenek Sayısına İlişkin Bir Çıkarım
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作者：Volkan DOĞAN ; Behçet Yalın ÖZKARA ; Cengiz YILMAZ 等
期刊名称：İşletme Araştırmaları Dergisi
印刷版ISSN：1309-0712
出版年度：2017
卷号：9
期号：1
DOI：10.20491/isarder.2017.254
语种：English
出版社：Isarder
摘要：The objective of this study is to systematically analyze and statistically prove whether the internal consistency level of the data characteristics (normal distribution, skewness,and kurtosis) is sensitive to the point scale range of the correlation coefficients and covariance matrices. The research was carried out using three different data sets obtained by applying the convenience sampling method on students studying at Eskişehir Osmangazi University,Faculty of Economics and Administrative Sciences. According to the results,the internal consistency level increases when the point scale range increase;and,the difference between 5-point scale and 11-point scale was observed to be statistically significant. Furthermore,the inter-scales correlation coefficient was determined to increase systematically;however,this increase was found not to be statistically significant. It was also observed that the inter-variable covariance matrices change significantly based on the point scale range;yet the path coefficients in covariance-based structural equation modeling do not change significantly.
其他摘要：Bu araştırmanın amacı;veri karakteristiğinin (normal dağılım,çarpıklık,basıklık), içsel tutarlılık düzeyinin (Cronbach’s Alpha),ölçekler arası korelasyon katsayılarının ve kovaryans matrislerinin yapılarının katılım düzeyi seçenek sayısına duyarlı olup ol
关键词：point-scale range;likert;data characteristics;data quality.
其他关键词：katılım düzeyi seçenek sayısı;likert;veri karakteristiği;veri kalitesi.