TY - JOUR
T1 - Using the Short Graph Literacy Scale to Predict Precursors of Health Behavior Change
AU - Okan, Yasmina
AU - Janssen, Eva
AU - Galesic, Mirta
AU - Waters, Erika A.
N1 - Funding Information:
Centre for Decision Research, Leeds University Business School, University of Leeds, Leeds, UK (YO); Department of Work and Social Psychology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands (EJ); Santa Fe Institute, Santa Fe, NM, USA (MG); Harding Center for Risk Literacy, Max Planck Institute for Human Development, Berlin, Germany (MG); and Washington University School of Medicine, Division of Public Health Sciences, Saint Louis, MO, USA (EAW). The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Financial support for this work was provided by the US National Cancer Institute (R01CA190391; UL1TR000448), the Informed Medical Decisions Foundation, and the Worldwide Universities Network (Fund for International Research Collaborations). Yasmina Okan’s time was in part supported by a Population Research Fellowship awarded by Cancer Research UK (C57775/A22182). The funding agreements ensured the authors’ independence in designing the study, interpreting the data, writing, and publishing the report.
Publisher Copyright:
© The Author(s) 2019.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - 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.
AB - 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.
KW - graph literacy
KW - health behavior
KW - individual differences
KW - risk communication
KW - risk perception
KW - visual aids
UR - http://www.scopus.com/inward/record.url?scp=85062693860&partnerID=8YFLogxK
U2 - 10.1177/0272989X19829728
DO - 10.1177/0272989X19829728
M3 - Article
C2 - 30845893
AN - SCOPUS:85062693860
SN - 0272-989X
VL - 39
SP - 183
EP - 195
JO - Medical Decision Making
JF - Medical Decision Making
IS - 3
ER -