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Using the Short Graph Literacy Scale to Predict Precursors of Health Behavior Change

机译:使用短图识字规模来预测健康行为的前体

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Background. Visual displays can facilitate risk communication and promote better health choices. Their effectiveness in improving risk comprehension is influenced by graph literacy. However, the construct of graph literacy is still insufficiently understood, partially because existing objective measures of graph literacy are either too difficult or too long. Objectives. We constructed a new 4-item Short Graph Literacy (SGL) scale and examined how SGL scores relate to key cognitive, affective, and conative precursors of health behavior change described in common health behavior theories. Methods. We performed secondary analyses to adapt the SGL scale from an existing 13-item scale. The initial construction was based on data collected in a laboratory setting in Germany ( n = 51). The scale was then validated using data from nationally representative samples in Germany ( n = 495) and the United States ( n = 492). To examine how SGL scores relate to precursors of health behavior change, we performed secondary analyses of a third study involving a nationwide US sample with 47% participants belonging to racial/ethnic minorities and 46% with limited formal education ( n = 835). Results. Graph literacy was significantly associated with cognitive precursors in theoretically expected ways (e.g., positive associations with risk comprehension and response efficacy and a negative association with cognitive risk perception). Patterns for affective precursors generally mirrored those for cognitive precursors, although numeracy was a stronger predictor than graph literacy for some affective factors (e.g., feelings of risk). Graph literacy had predictive value for most cognitive and affective precursors beyond numeracy. In addition, graph literacy (but not numeracy) predicted key conative precursors such as defensive processing. Conclusions. Our data suggest that the SGL scale is a fast and psychometrically valid method for measuring objective graph literacy. Our findings also highlight the theoretical and practical relevance of graph literacy.
机译:背景。视觉显示可以促进风险沟通和促进更好的健康选择。它们在提高风险理解方面的有效性受图形扫盲的影响。然而,图形识字构建仍然不充分地理解,部分是因为图形扫盲的现有客观措施太难或太长。目标。我们构建了一个新的4项短图识字(SGL)规模,并检查了普遍健康行为理论中描述的卫生行为变化的关键认知,情感和对齐的SGR分数如何。方法。我们执行了次要分析,以使SGL比例从现有的13项比例调整。初步结构基于德国实验室环境中收集的数据(n = 51)。然后使用来自德国国家代表样本的数据(n = 495)和美国(n = 492),验证规模。为了审查如何与健康行为的前体涉及如何变化,我们对第三项研究进行了二次分析,该研究涉及全国美国样本,其中47%的参与者属于种族/少数群体,有限的正规教育有限的46%(n = 835)。结果。图识字在理论上预期的方式(例如,具有风险理解和响应疗效的正协会和与认知风险感知的负关联的积极协会,图表扫盲显着与认知前体有显着相关。情感前体的图案通常反映了认知前体的模式,尽管数值是一种比图形识字为更强的预测因子,用于一些情感因素(例如,风险的感觉)。图表扫盲对大多数认知和情感的前体具有预测价值超越了计算。此外,图形扫盲(但不是umeracy)预测了诸如防御性处理的关键对齐前体。结论。我们的数据表明,SGL比例是一种快速且精神学的有效方法,用于测量物镜图谱。我们的调查结果还突出了图形扫盲的理论和实际相关性。

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