Browsing Human Sciences Research Centre by Authors
Measuring actions for nature—development and validation of a pro-nature conservation behaviour scaleBarbett, Lea; Stupple, Edward; Sweet, Michael; Schofield, Malcolm; Richardson, Miles; University of Derby (MDPI, 2020-06-15)Scientists have classed the ongoing decline in biodiversity—caused by humans—as a mass extinction. To mitigate the consequences of this extinction, immediate action is of the utmost importance. However, effective ways of promoting pro-nature conservation behaviours to preserve and enhance biodiversity require better understanding and measurement. Thus, a reliable and valid measurement tool is needed. While there are measurement tools for general pro-environmental behaviours, as of yet, no measure of behaviours that specifically promote biodiversity exists. Here, we present such a tool: the Pro-Nature Conservation Behaviour Scale (ProCoBS), a psychometrically validated questionnaire scale measuring active behaviours that specifically support the conservation of biodiversity. An item pool developed through consultation with wildlife and biodiversity experts was subjected to psychometric scale development analyses. Data from 300 participants were used to develop the 18-item ProCoBS long form, as well as an 8-item short form. A latent variable model with four factors (Individual Engagement, Social Engagement, Planting, and Wildlife) was identified. In a second study, a subset of 250 of the original participants answered the questionnaire again, in addition to related psychological constructs. The data were used to assess test–retest reliability and construct validity. Results showed that the scale and its short form were reliable (full scale: α = 0.893, short form: α = 0.825) and valid. In a third study, a representative sample of 1298 adults in the UK completed the short form. Confirmatory Factor Analysis demonstrated a good fit for all factors, indicating that the ProCoBS is a psychometrically robust measure. The ProCoBS provides the definitive, much needed tool for measuring conservation behaviours. This will enhance research and impact practical work in the conservation domain for a sustainable future. A cross-cultural examination of the scale is still needed. View Full-Text
Mental models or probabilistic reasoning or both: Reviewing the evidence for and implications of dual-strategy models of deductive reasoningBeeson, Natasha; Stupple, Edward J N; Schofield, Malcolm; Staples, Paul; University of Derby (University of Rijeka, 2019-04-30)The present paper presents an overview of contemporary reasoning research to examine the evidence for and implications of the Dual Strategy Model of Reasoning. The Dual Strategy Model of Reasoning proposes that there are two types of reasoning strategy applied in deductive reasoning – counterexample and statistical. The paper considers Mental Models Theory and The Probability Heuristics Model as candidate specifications for these respective strategies and hypotheses are proposed on this basis. The Dual Strategy Model is further considered in the context of Dual Process theory, the Dual Source Model and Meta-reasoning and implications of the synergy between these proposals are considered. We finally consider the Dual Strategy Model in the context of individual differences, and normative considerations before proposing novel hypotheses and further avenues of research which we argue require exploration in this context.