We present a qualitative data analysis framework that integrates perspectives from theme analysis, cultural models analysis, grounded theory, and content analysis. We demonstrate how these research traditions are united in their aim to, first, uncover meaningful themes and, subsequently, to understand those themes’ relationships to each other. To illustrate our approach, we present research on video gamers’ understandings of productive and detrimental responses to failure. Initial themes, cultural models, and grounded theory analysis of 10 semi-structured interviews led us to the theory that video games help players learn to cope more productively with failure, which we confirmed in a subsequent content analysis of text extracts from an online survey (N = 64). Overall, we propose that commonly employed approaches for analyzing qualitative data can be usefully conceptualized as research steps or stages, which move from the initial identification of themes to understanding their relationships, and from inductive exploration to deductive confirmation.

中文翻译：

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定性数据分析的迭代方法：使用主题、文化模型和内容分析来发现和确认游戏如何灌输韧性的扎根理论

我们提出了一个定性数据分析框架，该框架整合了主题分析、文化模型分析、扎根理论和内容分析的观点。我们展示了这些研究传统如何统一其目标，首先是发现有意义的主题，然后是了解这些主题之间的关系。为了说明我们的方法，我们展示了关于视频游戏玩家对失败的有效和有害反应的理解的研究。最初的主题、文化模型和对 10 次半结构化访谈的扎根理论分析使我们得出了这样一个理论，即电子游戏可以帮助玩家学会更有效地应对失败，我们在随后对在线调查文本摘录的内容分析中证实了这一点。 N = 64）。全面的，