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Personal Position Repertoire (PPR) from a Bird's Eye View

机译:从鸟瞰视角看的个人位置记录(PPR)

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摘要

To attain a bird's eye view of the dialogical self, we propose analyzing clients' Personal Position Repertoires by creating a bi-plot of the factors underlying their internal and external positions. A bi-plot produces a clear and comprehensible visual map of the relations between all the meaningful internal and external positions within the self, so that clusters and dominant patterns can be easily observed and analyzed. This method can be used by researchers to study general deep structures of the self, and by practitioners to increase collaboration with participants and facilitate change and growth. There are multiple bi-plots technologies available today. However, the simplest approach psychologists can take is to perform a standard Principal Component Analysis (PCA). To obtain a bi-plot, one performs a PCA once on the external positions and once on the internal positions (by transposing the input matrix data). In both PCAs the number of components is restricted to two. Next, one plots a scatter of the two PCAs on the same plane, where results of the first components are projected to the X-axis and those of the second components to the Y-axis. To demonstrate the method, a bi-plot of the PPR data published by Hermans (2001) is analyzed. This analysis is consistent with recent views of motivation, which postulate two pairs of conflicting basic human needs: security versus self-actualization and competition versus cooperation. One can also observe the client's unique relational formation of internal and external representations that reflect these four basic needs. Need theories and value theories are discussed as possible dimensions that facilitate the analysis of the global visual maps of the dialogical self.
机译:为了对对话的自我有一个大致的了解,我们建议通过创建客户内部和外部位置背后因素的双图来分析客户的个人位置库。双向图可生成清晰易懂的视觉图,显示自我中所有有意义的内部和外部位置之间的关系,因此可以轻松地观察和分析聚类和优势模式。研究人员可以使用这种方法研究自我的一般深层结构,而从业人员可以使用这种方法来增强与参与者的协作并促进变化和成长。今天有多种双图技术可用。但是,心理学家可以采用的最简单方法是执行标准的主成分分析(PCA)。为了获得双图,可以在外部位置执行一次PCA,在内部位置执行一次PCA(通过转置输入矩阵数据)。在两个PCA中,组件的数量都限制为两个。接下来,在同一平面上绘制两个PCA的散点图,其中第一个分量的结果投影到X轴,第二个分量的结果投影到Y轴。为了证明该方法,分析了Hermans(2001)发布的PPR数据的双图。该分析与最近的动机观点相一致,后者提出了两对相互冲突的基本人类需求:安全与自我实现以及竞争与合作。人们还可以观察到客户内部和外部表示的独特关系结构,这些结构反映了这四个基本需求。需求理论和价值理论作为可能的维度进行了讨论,这些维度有助于分析对话自我的全局视觉图。

著录项

  • 来源
    《Journal of Constructivist Psychology》 |2008年第3期|223-238|共16页
  • 作者单位

    School of Business Administration, The Hebrew University of Jerusalem, Jerusalem, Israel;

    School of Business Administration, The Hebrew University of Jerusalem, Jerusalem, Israel;

    Department of Cell Biology, New York University, New York, New York;

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  • 正文语种 eng
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