Cycle commuting intention: A model based on theory of planned behaviour and social identity

Although cycling as a mode of transport can provide various important benefits to cities and their transport systems, it accounts for only a small proportion of commuter trips in southern Europe. The aim of this study was to develop a new model based on Ajzen’s (1991) theory of planned behaviour (TPB), but including social identity as an additional predictor variable to improve the explanatory capability of the TPB. We conducted a telephone survey of a representative sample of 595 non-cycle commuters in the Spanish city of Vitoria-Gasteiz, which has a moderate proportion of bicycle users (6.9%). Confirmatory factor analysis to test the model showed satisfactory overall measurement fit, and all sub-scales had high reliability and validity coefficients. The findings demonstrated the value of incorporating social identity into the TPB to capture motivational factors relevant to cycle commuting. The relationships between the factors in the model indicated that there is a strong link between identifying as ‘a cyclist’ and perceived self-efficacy with respect to cycling. Furthermore, the results suggest that a more specific measure of perceived self-efficacy, targeting concrete behaviours could be used to inform development of initiatives to promote urban cycling. Our data also revealed that, excluding control variables such as journey time, economic cost and distance, the psychosocial variables included in the model predicted 32% of the variance in car users’ intention to start commuting by bicycle.     

Extending the 3 × 2 achievement goal model to the sport domain: The 3 × 2 Achievement Goal Questionnaire for Sport

In the present research, we sought to extend the 3 × 2 achievement goal model recently proffered in the school domain to the sport domain. We did so by conducting two studies focused on the development and initial validation of the 3 × 2 Achievement Goal Questionnaire for Sport (3 × 2 AGQ-S). Study 1 (n = 679), devised items for the questionnaire and demonstrated that data from the questionnaire nicely fit the proposed 3 × 2 model, showed a better fit to the 3 × 2 model than to alternative models, and indicated that each goal variable had good internal consistency. Study 2 again documented the strong psychometric properties of the measure, and additionally linked the goal variables to other constructs central to the achievement goal literature. The establishment of this measure allows extensive study of the 3 × 2 achievement goal model in the sport domain, and promises to yield deeper insights into the nature of achievement motivation in such contexts.     

A general proof of consistency of heuristic classification for cognitive diagnosis models

The Asymptotic Classification Theory of Cognitive Diagnosis (Chiu et al., 2009, Psychometrika, 74, 633–665) determined the conditions that cognitive diagnosis models must satisfy so that the correct assignment of examinees to proficiency classes is guaranteed when non‐parametric classification methods are used. These conditions have only been proven for the Deterministic Input Noisy Output AND gate model. For other cognitive diagnosis models, no theoretical legitimization exists for using non‐parametric classification techniques for assigning examinees to proficiency classes. The specific statistical properties of different cognitive diagnosis models require tailored proofs of the conditions of the Asymptotic Classification Theory of Cognitive Diagnosis for each individual model – a tedious undertaking in light of the numerous models presented in the literature. In this paper a different way is presented to address this task. The unified mathematical framework of general cognitive diagnosis models is used as a theoretical basis for a general proof that under mild regularity conditions any cognitive diagnosis model is covered by the Asymptotic Classification Theory of Cognitive Diagnosis.     

混沌理论对优化临床管理模式的启示——以孕产妇管理为例

围绕混沌理论与妊娠及分娩之间的联系,结合实践,提出可行的优化孕产妇管理工作的建议。强调医务人员应应用线上及线下多种方式,于孕前、孕期、产时、产后各阶段,针对孕产妇身心各方面,对其实施系统化的管理;应重点把握与孕妇首次接触的时机,建立信任关系以保证其良好的遵医行为;管理过程中应尊重孕产妇的个体差异,为其提供个性化的指导,同时应重视其支持系统的建立,医疗机构、社区、家庭应为孕产妇提供切实的支持。旨在为孕产期保健工作提供新思路,从而更好地为广大孕产妇服务。     

科学发展观与生态医学模式

分析了生物医学模式没有转型为生物心理社会医学模式的原因。认为生态危机背景下的医学发展模式研究,应把提高人的生命质量和改善人的生存、生活环境等相关条件,纳入视野之中,这正表现出生态医学模式的价值基础与科学发展观在根本上的一致性。以生态医学模式引领未来医学发展是实践科学发展观的必然要求和具体行动。     

牙髓病治疗过程的历史回顾与哲学思考

牙髓病的发生原因遵循多因素的模式,牙髓病的治疗方案的研究历程顺应该病发生原因研究进程和认识,在牙髓病治疗过程中体现了技术更新的跃进方式更新和渐进形式更新,说明一项新技术替代原有技术,实现了旧质向新质的转换,而疾病的防治需要科学的策略和措施。     

Diagnostic Classification Models for a Mixture of Ordered and Non-ordered Response Options in Rating Scales

When developing ordinal rating scales, we may include potentially unordered response options such as “Neither Agree nor Disagree,” “Neutral,” “Don’t Know,” “No Opinion,” or “Hard to Say.” To handle responses to a mixture of ordered and unordered options, Huggins-Manley et al. (2018) proposed a class of semi-ordered models under the unidimensional item response theory framework. This study extends the concept of semi-ordered models into the area of diagnostic classification models. Specifically, we propose a flexible framework of semi-ordered DCMs that accommodates most earlier DCMs and allows for analyzing the relationship between those potentially unordered responses and the measured traits. Results from an operational study and two simulation studies show that the proposed framework can incorporate both ordered and non-ordered responses into the estimation of the latent traits and thus provide useful information about both the items and the respondents.