ACCURACY AND RELIABILITY OF SELF-REPORTED DATA IN INTERORGANIZATIONAL NETWORKS
ACCURACY AND RELIABILITY OF SELF-REPORTED DATA IN INTERORGANIZATIONAL NETWORKS
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DOI：
10.1016/0378-8733(93)90013-b
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发表时间：
1993-12-01
期刊：
影响因子：
3.1
通讯作者：
PAULSON, RI
中科院分区：
文献类型：
--
作者：
CALLOWAY, M;MORRISSEY, JP;PAULSON, RI
尽管网络分析正在成为研究组织间行为的一种更加可行和信息丰富的方法，但涉及自我报告或“认知”网络数据的准确性和可靠性的问题仍未得到解决。研究了四个主要城市中每一个城市中基于信息和协调关系的两个网络。回应的可靠性是通过评估机构受访者之间确认关系的百分比，并通过将每个网络中的一致程度相关联来评估。此外，还研究了两种可能的测量误差：与网络无关的系统误差和与网络相关的特质误差。这些错误是通过对一个组织的关系强度及其在每个网络中确认的关系数量的相关性分析来评估的。此外，通过计算不同反应类别内确认关系的比例来计算系统误差，用于判断网络中自我组织之间的关系强度。结论是，组织跨界人员可以对网络产生的问题提供相当可靠的回答，但数据中的错误往往是系统性的，就像之前的人际认知网络研究报告的那样。
Although network analysis is becoming a more viable and informative methodology for the study of interorganizational behavior, issues involving the accuracy and reliability of self-reported or 'cognitive' network data are still unresolved. Two networks based on information and coordination relationships in each of four major cities are examined. Reliability of responses is assessed as the percent of confirmed relationships between agency respondents and by correlating the extent of agreement in each network. In addition, two possible measurement errors are examined: systematic errors which are network-independent and idiosyncratic errors which are network-dependent. These errors are assessed through correlational analyses of the intensity of an organization's relationships with the number of its relationships that are confirmed in each network. Also systematic errors are accounted for by calculating the proportion of confirmed relationships within the different response categories used to judge the strength of relationship between ego organizations in the network. It is concluded that boundary spanning personnel of organizations can provide fairly reliable responses to network generated questions, but that errors in the data tend to be systematic in the way that prior studies of interpersonal cognitive networks report.