Scaling unobservable constructs in social science
Scaling unobservable constructs in social science
复制标题
扩展社会科学中不可观察的结构
DOI：
10.1111/1467-9876.00094
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
David J. Bartholomew
中科院分区：
文献类型：
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作者：
David J. Bartholomew
通过两个数据集，探讨了logit-probit模型在构建社会测量量表中的应用。第一个是专门为规模设计的，由1490个人回答5个关于经济自决的问题。第二份来自工作场所劳资关系调查，涉及1005家公司关于创新的六个问题的答案。结果表明，虽然可以构建尺度，但其精度（可靠性）可能较低。此外，对于这样的例子，潜在类模型可以给出同样令人满意的数据说明。
The use of the logit–probit model for constructing social measurement scales is explored by using two data sets. The first was specifically designed for scaling and consists of answers by 1490 individuals to five questions on economic self‐determination. The second is from the Workplace Industrial Relations Survey and relates to answers to six questions addressed to 1005 firms about innovations. It is shown that although scales can be constructed their precision (reliability) is likely to be low. Further, for examples like these, latent class models may give an equally satisfactory account of the data.