Constructing validity: Basic issues in objective scale development
Constructing validity: Basic issues in objective scale development
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DOI：
10.1037/1040-3590.7.3.309
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发表时间：
1995-09-01
影响因子：
3.6
通讯作者：
Watson, D
中科院分区：
文献类型：
--
作者：
Clark, LA;Watson, D
规模开发的一个主要目标是为底层结构创建一个有效的度量。我们讨论了理论原则、实际问题和实用决策，以帮助开发者最大限度地提高量表和子量表的结构效度。首先，有必要从目标结构的清晰概念化开始。此外，初始项目池的内容应该过于广泛，项目措辞需要仔细注意。接下来，应该在代表目标人群的整个范围的异质样本上测试项目池，以及评估密切相关结构的变量。最后，在选择量表项时，以单维性为目标，而非内部一致性；这意味着实际上所有项目间的相关性都应该是适度的。因子分析在保证量表的单一性和判别效度方面起着至关重要的作用。
A primary goal of scale development is to create a valid measure of an underlying construct. We discuss theoretical principles, practical issues, and pragmatic decisions to help developers maximize the construct validity of scales and subscales. First, it is essential to begin with a clear conceptualization of the target construct. Moreover, the content of the initial item pool should be overinclusive and item wording needs careful attention. Next, the item pool should be tested, along with variables that assess closely related constructs, on a heterogeneous sample representing the entire range of the target population. Finally, in selecting scale items, the goal is unidimensionality rather than internal consistency; this means that virtually all interitem correlations should be moderate in magnitude. Factor analysis can play a crucial role in ensuring the unidimensionality and discriminant validity of scales.