Validating the Cross-Validation: A 3-Dimensional Model for Multiple Informant Data (3D-MMID)

Others presented more complex algorithms, for optimal use of multi-informant data [8,10]. Most of the solutions presented for composite score and to the extent of my knowledge, so for there is not a single method addressing the issue at the scale level. This study is an effort to develop a method for use of multi-informant data at the scale level hence retaining all the scale characteristics. The study is aimed to advance the pooling methods by overcoming some of its shortcomings. In terms of optimal informant, a method is presented which accounts for informant error and in terms of averaging the method is modified to preserve the distinct position of each

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