ACCURACY OF ANTLER METRICS IN PREDICTING AGE OF WHITE-TAILED DEER AND MULE DEER

Electronic deer check systems offer state natural resource agencies alternatives to mandatory in-person check stations, resulting in potential savings in money and personnel. However, a reliable means for hunters to classify the age of harvested antlered deer must be established so that important management indices such as antlered yearling harvest can continue to be used to set future management goals. Therefore, we evaluated the use of six different antler metrics to predict age class of white-tailed and mule deer (1.5 and \u3e/= 2.5 years). We used discriminant analysis to determine the number of deer correctly classified into each age class based on the antler metric with the greatest degree of separation for each species. Of those evaluated, main beam length and inside spread were the two most accurate measurements for both species. For white-tailed deer, 93% (114 of 123) of the 1.5-year age class and 93% (251 of 271) of the \u3e/= 2.5-year age class were correctly classified using main beam length with a cutoff of 364 mm. For mule deer, 100% (12 of 12) of the 1.5-year age class and 97% (35 of 36) of the \u3e/= 2.5-year age class were correctly classified using main beam length with a cutoff of 352 mm. Antler metrics of both deer species can be used to accurately classify age class while likely saving funds and personnel hours

The impact of asking intention or self-prediction questions on subsequent behavior: a meta-analysis

The current meta-analysis estimated the magnitude of the impact of asking intention and self-prediction questions on rates of subsequent behavior, and examined mediators and moderators of this question–behavior effect (QBE). Random-effects meta-analysis on 116 published tests of the effect indicated that intention/prediction questions have a small positive effect on behavior (d+ = 0.24). Little support was observed for attitude accessibility, cognitive dissonance, behavioral simulation, or processing fluency explanations of the QBE. Multivariate analyses indicated significant effects of social desirability of behavior/behavior domain (larger effects for more desirable and less risky behaviors), difficulty of behavior (larger effects for easy-to-perform behaviors), and sample type (larger effects among student samples). Although this review controls for co-occurrence of moderators in multivariate analyses, future primary research should systematically vary moderators in fully factorial designs. Further primary research is also needed to unravel the mechanisms underlying different variants of the QBE

Brand origin identification by consumers: A classification perspective

The authors apply a classification perspective to (1) examine the extent to which consumers can identify the correct country of origin (COO) of different brands of consumer durables, (2) investigate the factors facilitating/hindering correct COO identification, and (3) trace the implications of correct/incorrect COO identification on brand evaluation. The results from a U.K. sample indicate that consumers' ability to classify brands correctly according to their origin is limited and also reveal substantial differences in the classification of different brands to their COO. Moreover, the key antecedent of correct COO identification is consumer ethnocentrism, with sociodemographics (e.g., age, gender) also playing a role. Finally, the authors find that though there are differences in brand evaluations depending on whether the correct COO was identified, such differences are not observed for all brands investigated

The impact of corporate volunteering on CSR image: a consumer perspective

Received: 29 June 2013 / Accepted: 15 January 2014Abstract Corporate volunteering (CV) is known to be an effective employee engagement initiative. However, despite the prominence of corporate social responsibility (CSR) in academia and practice, research is yet to investigate whether and how CV may influence consumer perceptions of CSR image and subsequent consumer behaviour. Data collected using an online survey in Australia show perceived familiarity with a company’s CV programme to positively impact CSR image and firm image, partially mediated by others-centred attributions. CSR image, in turn, strengthens affective and cognitive loyalty as well as word-of-mouth. Further analysis reveals the moderating effect of perceived leveraging of the corporate volunteering programme, customer status and the value individuals place on CSR. The paper concludes with theoretical and managerial implications, as well as an agenda for future research.Carolin Plewa, Jodie Conduit, Pascale G. Quester, Claire Johnso