Survey Research in Public Administration: Assessing Mainstream Journals with a Total Survey Error Framework
Survey Research in Public Administration: Assessing Mainstream Journals with a Total Survey Error Framework
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公共管理调查研究：用总调查误差框架评估主流期刊
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
T. Johnson
中科院分区：
文献类型：
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作者：
G. Lee;Jennifer M. Benoit;T. Johnson
调查研究是评估公众意见、看法、态度和行为的常用工具，用于许多社会科学学科的分析。然而，对于如何将调查研究方法的具体要素应用于公共行政实践，人们知之甚少。本文考察了五种主流公共行政期刊在八年期间关于当前方法论实践的信息，并围绕总调查误差框架进行组织。研究结果表明，公共行政领域的调查研究主要表现为研究规模小、数据采集模式过于依赖、样本选择程序存在问题、样本框质量存疑等。调查数据在很大程度上是在没有仔细考虑假设或潜在错误来源的情况下进行分析的。由于许多期刊文章没有详细说明数据收集程序，因此对调查数据的质量进行知情评估变得更加困难。本研究最后提出了提高该领域调查研究质量和报告的建议。
Survey research is a common tool for assessing public opinions, perceptions, attitudes, and behaviors for analyses in many social science disciplines. Yet there is little knowledge regarding how specific elements of survey research methodology are applied in practice in public administration. This article examines five mainstream public administration journals over an eight-year period regarding current methodological practice, organized around the total survey error framework. The findings show that survey research in the field of public administration features mainly small-scale studies, heavy reliance on a single data collection mode, questionable sample selection procedures, and suspect sample frame quality. Survey data largely are analyzed without careful consideration of assumptions or potential sources of error. An informed evaluation of the quality of survey data is made more difficult by the fact that many journal articles do not detail data collection procedures. This study concludes with suggestions for improving the quality and reporting of survey research in the field.
公共行政研究中多线人的使用：利用组织梯队进行数据聚合
影响因子：
4.2
作者：
Enticott G
通讯作者：
Enticott G