Richters J E, Waters E, Vaughn B E
Laboratory of Developmental Psychology, NIMH, Bethesda, MD 20892.
Child Dev. 1988 Apr;59(2):512-22.
Multiple discriminant function analysis (MDFA) was conducted with data from 255 Strange Situations conducted and scored by Ainsworth and her colleagues. Cross-validated discriminant functions and classification weights were obtained, allowing attachment classifications (A, B, C) to be assigned directly from scores on interactive behavior and crying during reunion episodes. In the past, classification agreement within laboratories has often been used as a training criterion. Unfortunately, this does not insure that classification criteria agreed upon within a laboratory are comparable across laboratories, nor does it insure that agreed upon criteria will yield the same classifications that would have been assigned by the researchers who developed the scoring system. The present results enable researchers who have mastered the scoring systems for reunion behavior and crying to obtain attachment classifications directly from scores on these variables. Alternatively, this procedure may be used to guide the training of, and validate classification decisions by, local judges.
利用安斯沃思及其同事进行并评分的255个陌生情境的数据进行了多判别函数分析(MDFA)。获得了交叉验证的判别函数和分类权重,从而可以根据重聚阶段互动行为和哭泣的得分直接确定依恋分类(A、B、C)。过去,实验室内部的分类一致性常被用作训练标准。不幸的是,这既不能确保实验室内部商定的分类标准在不同实验室之间具有可比性,也不能确保商定的标准会得出与开发评分系统的研究人员所指定的相同分类。目前的结果使掌握了重聚行为和哭泣评分系统的研究人员能够直接根据这些变量的得分获得依恋分类。或者,该程序可用于指导当地评判员的培训并验证其分类决策。