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Are implicit motives revealed in mere words? Testing the marker-word hypothesis with computer-based text analysis

机译:仅仅通过言语就能揭示内在动机吗?使用基于计算机的文本分析测试标记词假设

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摘要

Traditionally, implicit motives (i.e., non-conscious preferences for specific classes of incentives) are assessed through semantic coding of imaginative stories. The present research tested the marker-word hypothesis, which states that implicit motives are reflected in the frequencies of specific words. Using Linguistic Inquiry and Word Count (LIWC; Pennebaker et al., ), Study 1 identified word categories that converged with a content-coding measure of the implicit motives for power, achievement, and affiliation in picture stories collected in German and US student samples, showed discriminant validity with self-reported motives, and predicted well-validated criteria of implicit motives (gender difference for the affiliation motive; in interaction with personal-goal progress: emotional well-being). Study 2 demonstrated LIWC-based motive scores' causal validity by documenting their sensitivity to motive arousal.
机译:传统上,隐性动机(即对特定类别的奖励的无意识偏好)是通过对富有想象力的故事进行语义编码来评估的。本研究检验了标记词假设,该假设指出隐含动机反映在特定词的频率中。研究1使用语言查询和单词计数(LIWC; Pennebaker等人),确定了与类别编码相融合的单词类别,这些内容编码度量了在德国和美国学生样本中收集的图画故事的内在动力,成就和隶属动机的内在动机表现出与自我报告动机的判别效度,并预测了隐性动机的有效标准(隶属动机的性别差异;与个人目标进步的互动:情感幸福感)。研究2通过记录基于LIWC的动机得分对动机唤起的敏感性来证明其因果效度。

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