SELECTING DAILY NEWSPAPERS FOR CONTENT ANALYSIS IN CHINA

Yunya Song · Tsan‐Kuo Chang

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Media Studies and Communication Journalism and Media Studies Computational and Text Analysis Methods

Abstract

This study compares different sampling methods and sample sizes in the selection of daily newspapers in China for content analysis of the news. Results show that the method of constructed week sampling is more efficient than simple random sampling or consecutive day sampling, and a single constructed week allows reliable estimates of news content in a population of six months of newspaper editions even for highly volatile variables. The weekday-plus-Saturday constructed week sampling, an often-used sampling stratification approach in content analyses of Chinese daily newspapers, however, requires a larger sample size, depending on the types of variables being analyzed.

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References

2005Analyzing media messages using quantitative content analysis in research 2008Communication in China: Political Economy, Power, and Conflict 2008Communication in China: Political Economy, Power, and Conflict 2005Within the Boundaries of Politics: News Framing of Sars in China and the United States 2007The Efficiency of Constructed Week Sampling for Content Analysis of Online News 2001Power, Money, and Media: Communication Patterns and Bureaucratic Control in Cultural China.1994Command Communication: The Politics of Editorial Formulation in the People's Daily 2003Framing the NATO Air Strikes on Kosovo Across Countries

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