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宽恕可能性量表(FLS)的最小空间分析——以贵州省国培民营幼儿园园长为例

Smallest Space Analysis:Forgiveness Likelihood Scale ——Taking Private kindergarten director in Guizhou Province as an example
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摘要 文章运用统计方法对宽恕可能性量表的结构进行分析,首先运用SPSS19.0对数据进行探索性因素分析,筛选出两个因子且分别的方差解释率为45.6%和13.5%,第一个特征根值与第二个特征根值的比为3.24,符合最小空间分析的单维性前提;其次运用Hudap6.0对数据进行最小空间分析法,异化系数为0.104,符合统计要求,并得出层面图和映射语句。 The statistical methods for measuring the structure of forgiveness likelihood scale are employed through this thesis. SPSS 19.0 was first adopted as an exploratory factor analysis to the statistics. Two factors were carefully selected whose analysis of variance ratio were 45.6% and 13.5% respectively. The ratio of the first and second value was 3.24, which conform to one-dimensional proposition of the smallest space analysis. Then Hudap6.0 was used to analyze the smallest space with coefficient of alienation as 0.104, which meet the requirement of statistics. Facets and mapping sentence were finally concluded.
出处 《遵义师范学院学报》 2013年第6期61-65,共5页 Journal of Zunyi Normal University
关键词 最小空间分析 映射语句 主成分分析 宽恕 smallest space analysis mapping sentence PCA forgiveness
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