The construct validity of the multidimensional AIMES connection to nature scale: Measuring human relationships with nature.

Over the last decades, a plethora of nature connectedness measures have been developed, including unidimensional scales and others claiming to be multidimensional scales. Recently, Ives et al. (2018) conceptualised connection with nature as five general categories including attachment, cognition/identity, materialistic consumption, experiential components, and spiritual connection to nature. The current research presents a theory-driven approach to scale construction capturing the five factors similar to those described by Ives et al. (2018); the AIMES scale. The scale was developed in cooperation with practitioners and academics working in the field of human-nature interactions and its construct validity was tested with a representative sample of 3090 Victorians. Confirmatory factor analysis reinforced the five-factor model, showing that all factors correlated but were statistically distinct from one another. The second-order factor model also provided support for connection with nature as an overarching variable that can find expression to various degrees in the five primary factors. Finally, we found associations between the AIMES-factors and conceptually related measures of environmental values, environmental behaviours, environmental awareness, and time spent in nature. A short version of the scale is also presented for use in evaluation where brevity is required without compromising reliability and validity.

Icon Arrays for Medical Risk Communication: Do Icon Type and Color Influence Cardiovascular Risk Perception and Recall?

BACKGROUND: Icon arrays have been shown to be an effective method for communicating medical risk information. However, in practice, icon arrays used to visualize personal risks often differ in the type and color of the icons. The aim of this study was to examine the influence of icon type and color on the perception and recall of cardiovascular risk, as little is known about how color affects the perception of icon arrays. METHODS: A total of 866 participants aged 40 to 90 years representative of the German population in terms of gender and age completed an online experiment. Using a 2 × 2 between-subjects design, participants were randomly assigned to 1 of 4 experimental groups. They received their hypothetical 10-year cardiovascular risk using an icon array that varied by icon type (smiley v. person) and color (black/white v. red/yellow). We measured risk perception, emotional response, intentions of taking action to reduce the risk (e.g., increasing one's physical activity), risk recall, and graph evaluation/trustworthiness, as well as numeracy and graphical literacy. RESULTS: Icon arrays using person icons were evaluated more positively. There was no effect of icons or color on risk perception, emotional response, intentions of taking action to reduce the risk, or trustworthiness of the graph. While more numerate/graphical literate participants were more likely to correctly recall the presented risk estimate, icon type and color did not influence the probability of correct recall. CONCLUSIONS: Differences in the perception of the tested icon arrays were rather small, suggesting that they may be equally suitable for communicating medical risks. Further research on the robustness of these results across other colors, icons, and risk domains could add to guidelines on the design of visual aids. HIGHLIGHTS: The use of different icons and colors did not influence the perception and the probability of recalling the 10-year cardiovascular risk, the emotional response, or the intentions to reduce the presented risk.Icon arrays with person icons were evaluated more positively.There was no evidence to suggest that the effectiveness of the studied icon arrays varied based on individuals' levels of numerical or graphical literacy, nor did it differ between people with or without a history of CVD or on medication for an increased CVD risk.

Using the Multidimensional AIMES to Estimate Connection-to-Nature in an Australian Population: A Latent Class Approach to Segmentation.

Individuals can interact and develop multiple connections to nature (CN) which have different meanings and reflect different beliefs, emotions, and values. Human population are not homogenous groups and often generalised approaches are not effective in increasing connectedness to nature. Instead, target-group specific approaches focusing on different segments of the population can offer a promising approach for engaging the public in pro-environmental behaviours. This research employed latent class analysis to identify subgroups of individuals in a large, representative sample (n = 3090) of an Australian region. Three groups were identified using the AIMES measure of CN with its focus on five types of connection to nature. The high CN group comprised about one-third (35.4%) of participants while the group with the lowest profile of scores contained around a fifth (18.6%) of participants. The majority (46.0%) of participants registered CN levels between the high and low groups. These classes were then regressed on predictor variables to further understand differences between the groups. The largest, consistent predictors of class membership were biocentric and social-altruistic value orientations, stronger intentions to perform pro-environmental behaviours in public (e.g., travel on public transport), the amount of time spent in nature, and the age of participants.