The Alignment of Measures and Constructs in Organizational Research: The Case of Testing Measurement Models of Creativity

Diane M. Sullivan; Cameron M. Ford

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The Alignment of Measures and Constructs in Organizational Research: The Case of Testing Measurement Models of Creativity

机译：组织研究中的度量与构造的一致性：以创造力度量模型为例

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Purpose Organizational creativity research has a curious misalignment between construct definitions and measurement model specifications—definitions embrace multiple facets, but empirical measures do not. The purpose of this study was to examine potential measurement model misspecification in organizational creativity research. We compare whether creativity is best assessed as a unidimensional common latent construct model with reflective indicators or as a multi-dimensional composite latent construct model with formative indicators.

机译：目的组织创造力研究在构造定义和度量模型规范之间存在奇怪的错位-定义包含多个方面，而经验度量则没有。这项研究的目的是检查组织创造力研究中潜在的度量模型错误指定。我们比较创造力是作为具有反射性指标的一维通用潜在构造模型还是作为具有形成性指标的多维复合潜在构造模型进行最佳评估。

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《Journal of Business and Psychology》 |2010年第3期|p.505-521|共17页
作者
Diane M. Sullivan; Cameron M. Ford;
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正文语种 eng
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Creativity; Organizational creativity; Measurement; Measurement models; Formative indicators; Reflective indicators;

机译：创造力;组织创造力;测量;测量模型;形成指标;反光指标;

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1. The alignment of measures and constructs in organizational research: The case of testing measurement models of creativity [J] . Sullivan D.M., Ford C.M. Journal of business and psychology fsponsored by the Business Psychology Research Institute . 2010,第3期

机译：组织研究中措施和构建的对准：创造力测量模型的情况
2. Do Two or More Multicomponent Instruments Measure the Same Construct? Testing Construct Congruence Using Latent Variable Modeling [J] . Raykov Tenko, Marcoulides George A., Tong Bing Educational and Psychological Measurement . 2016,第5期

机译：两个或多个多分量仪器会测量同一结构吗？使用潜在变量建模测试构造同余
3. Beyond words: testing alignment among inter-organizational performance measures [J] . Maria Rey-Marston, Andy Neely Measuring Business Excellence . 2010,第1期

机译：言外之意：测试组织间绩效指标之间的一致性
4. Constructing Empirical Formulas for Testing Word Similarity by the Inductive Method of Model Self-Organization [C] . Pavel Makagonov, Mikhail Alexandrov International Conference on Portugal for Natural Language Processing . 2002

机译：构建模型自组织归纳方法检测单词相似性的经验公式
5. Testing a model of the relationships among organizational performance, IT-business alignment, and IT governance. [D] . Sanchez Ortiz, Aurora. 2003

机译：测试组织绩效，IT业务一致性和IT治理之间的关系模型。
6. Do Two or More Multicomponent Instruments Measure the Same Construct? Testing Construct Congruence Using Latent Variable Modeling [O] . Tenko Raykov, George A. Marcoulides, Bing Tong 2016

机译：两个或多个多分量仪器会测量同一结构吗？使用潜在变量建模测试构造同余
7. We develop a model of scientific creativity and test it in the field of rare diseases. Our model is based on the results of an in-depth case study of the Rett syndrome. Archival analysis, bibliometric techniques and expert surveys are combined with network analysis to identify the most creative scientists. First, alternative measures of generative and combinatorial creativity are compared. Then, we generalize our results and present a stochastic model of socio-semantic network evolution. The model predictions are tested with multiple networks of rare disease specialties. We find that new scientific collaborations among experts in a field enhance combinatorial creativity. Instead, high entry rates of novices are negatively related to generative creativity. By extending the set of useful concepts, creative scientists gain in centrality. At the same time, by increasing their centrality in the scientific community, scientists can replicate and generalize their results, thus contributing to a scientific paradigm. [O] . Massimo Riccaboni, Maria Laura Frigotto 100

机译：我们开发了一种科学创造力模型，并在稀有疾病领域进行测试。我们的模型基于对Rett综合征的深入案例研究的结果。档案分析，文献计量技术和专家调查与网络分析相结合，以确定最具创造力的科学家。首先，比较生成和组合创造力的替代措施。然后，我们推广了我们的结果，并提出了社会语义网络演化的随机模型。模型预测用多个罕见疾病专业网络进行测试。我们发现，一个领域的专家之间的新的科学合作增强了组合创造力。相反，新手的高入门率与生成创造力负相关。通过扩展这组有用的概念，创造性的科学家获得了中心地位。同时，通过增加科学界的中心地位，科学家们可以复制和推广他们的结果，从而促进科学范式的发展。

The Alignment of Measures and Constructs in Organizational Research: The Case of Testing Measurement Models of Creativity

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