Preference for making immediate decisions was assessed using a two-item scale. For example, ‘If I have to make a decision, I start thinking about it straight GSK458 in vivo away. Preference for delaying decisions was measured using two items. An example is ‘If I have difficult decision to make, I tend to put it off’. Information seeking behaviour, the dependent variable, was captured by offering participants four extra pieces of information which they could choose to look at. The options were: information concerning health effects

of Salmonella; prevalence of Salmonella; national attempts to control Salmonella in eggs; and, individual risk reduction. Items were developed for this study. Participant access to each piece of information was recorded and used to create an index ranging from 0 to 4. Table 1 shows the means, standard deviations, Cronbach’s alpha where appropriate and inter-scale correlations. We then examined Galunisertib purchase the model using SEM Confirmatory Factor Analysis in Amos 19. Data indicated that the model fit was acceptable (Hair, Black, Babin,

& Anderson, 2009): χ2 = 537.4; df = 114; CFI = .98; NFI = .98; RMSEA = .04; SRMR = .04, apart from the χ2/df value which is 4.7. However, the χ2/df value is sensitive to large sample sizes ( Hair et al., 2009) so we proceeded with hypothesis testing. Next we used hierarchical multiple regression for the first stage IMP dehydrogenase of hypothesis testing. All continuous variables were standardized using the Z transformation prior to analysis. Model 1 examined direct effects of age, gender, experience, information processing, anxiety, information utility and sufficiency. Model 2 added interaction terms (anxiety, utility and sufficiency × each of the information

processing styles). Data are shown in Table 2. Model 1 data showed main effect positive associations between preferences for analytical thinking, tendency to delay decision making, information sufficiency, information utility and information seeking. There were negative associations between heuristic information processing style, anxiety, and information seeking. Thus there was some initial support for our hypotheses concerning information processing style and information seeking. Moreover, women and older adults were more likely to seek information, as expected. Model 2 data showed six significant interaction terms. The interaction of affect and preferences for making immediate decisions was not examined further because there was no main effect of immediate decision making. The remaining interactions were examined in more detail following procedures discussed in Hayes (2013) and using the ‘process’ syntax. We tested whether the relationship between information processing style and information seeking was different at high and low levels of affect and information utility (1 standard deviation above and below the mean).