Strengths and limitations of ipsative measurement
Strengths and limitations of ipsative measurement
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DOI：
10.1111/j.2044-8325.1996.tb00599.x
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发表时间：
1996-03-01
影响因子：
6.2
通讯作者：
Baron, H
中科院分区：
文献类型：
--
作者：
Baron, H
讨论了多尺度心理测量仪的适应性测量的相对优点。标准的心理测量学分析被发现不适合使用少量的量表，或具有很强正相关性的量表集。然而，对于具有低平均相关性的更大的量表集(N类似于30)，假设数据似乎在可靠性分析中提供了稳健的统计结果，但在因子分析中则不是。研究认为，强迫选择格式有可能控制一些典型的标准量表的反应偏差，这意味着它们可能具有实质性的优势，而来自分数分布的数据被用来表明，对于更多的量表来说，绝大多数的轮廓不会歪曲到可能被强迫选择的反应格式扭曲的程度。对分数解释的意义进行了讨论。
The relative merits of ipsative measurement for multi-scale psychometric instruments are discussed. Standard psychometric analyses are found to be inappropriate with small numbers of scales, or sets of scales with strong positive intercorrelations. However, for larger sets of scales (N similar to 30) with low average intercorrelations, ipsative data seems to provide robust statistical results in reliability analyses but not under factor analysis. It is argued that the potential of forced-choice formats to control for some of the response biases typical of normative scales means that they could have substantial advantages while data from score distributions are used to show that for higher numbers of scales, the vast majority of profiles are not so skewed that they would be Likely to be distorted by a forced-choice response format. The implications for score interpretation are discussed.