Ipsatization, or a correction of variables by their common component, is routinely applied to measures of basic values. Although ipsatization has been criticized, the consequences of non-ipsatization are rarely discussed. We show that the ipsatization of values is intertwined with their definition. A common factor involved in ipsatization was suggested to represent a nuisance variable, a response style, social desirability, or other constructs. A simulation study illustrated that within-individual centering revealed more accurate value scores when the common factor was in the data, with exception of the situation when values were consistently and positively correlated with each other. We conclude that in different conditions both applying and failing to apply ipsatization can cause bias. Therefore, no general advice in regard to ipsatization can be provided.

Ipsatization 或通过变量的公共组件校正变量，通常应用于基本值的度量。尽管 ipsatization 受到了批评，但很少讨论非 ipsatization 的后果。我们表明，价值观的 ipsatization 与其定义交织在一起。ipsatization 中涉及的一个共同因素被建议代表一个令人讨厌的变量、一种反应风格、社会需求或其他结构。一项模拟研究表明，当数据中存在共同因素时，个体内部中心化显示出更准确的价值分数，但价值始终呈正相关的情况除外。我们得出结论，在不同的条件下，应用和不应用 ipsatization 都会导致偏差。所以，