Age and active navigation effects on episodic memory: A virtual reality study

We investigated the navigation‐related age effects on learning, proactive interference semantic clustering, recognition hits, and false recognitions in a naturalistic situation using a virtual apartment‐based task. We also examined the neuropsychological correlates (executive functioning [EF] and episodic memory) of navigation‐related age effects on memory. Younger and older adults either actively navigated or passively followed the computer‐guided tour of an apartment. The results indicated that active navigation increased recognition hits compared with passive navigation, but it did not influence other memory measures (learning, proactive interference, and semantic clustering) to a similar extent in either age group. Furthermore, active navigation helped to reduce false recognitions in younger adults but increased those made by older adults. This differential effect of active navigation for younger and older adults was accounted for by EF score. Like for the subject‐performed task effects, the effects from the navigation manipulation were well accounted for by item‐specific/relational processing distinction, and they were also consistent with a source monitoring deficit in older adults.     

Mix or Match? Consumer Spending Decisions in Conditional Promotions

Conditional multi‐item promotions are a prevalent marketing tactic whereby consumers have to buy a certain number of products to get a discount. This paper examines how framing a multi‐item promotion in terms of savings on multiple items versus a single item (e.g., “buy two, get X% off on both” vs. “buy two, get 2X% off on the cheaper item”) affects consumers’ decision‐making and product choices. Two laboratory studies and a field study at a boutique clothing store demonstrate that the “2X% on cheaper” framing makes consumers more likely to select similarly priced primary and secondary items. This strategy is driven by increased focus on promotional savings under the “2X% on cheaper” framing, which leads consumers to spend more on their secondary items. Overall, this research shows how a subtle change in the framing of multi‐item promotions changes consumers’ product selection strategies and shopping basket composition.     

排名列表项目展示方式对于项目评价的极化效应

排名列表是帮助消费者快速识别品牌或产品优劣的手段。研究基于空间隐喻理论, 探究排名列表的不同展示方式(垂直vs水平)对消费者列表项目评价的极化影响及作用机制。通过5个实验发现: 消费者对于垂直排名列表相比水平排名列表中的项目具有更大的评价极化效应, 并且验证了项目感知差异在上述关系中的中介作用, 即垂直排名列表的评价极化效应是由个体较高的排名列表项目感知差异所驱动的。此外, 当属性可评估性较低时, 才会出现不同列表项目的评价极化效应; 相反, 当排名列表项目属性可评估性较高时, 该评价极化效应消失。     

Gaussian variational estimation for multidimensional item response theory

Multidimensional item response theory (MIRT) is widely used in assessment and evaluation of educational and psychological tests. It models the individual response patterns by specifying a functional relationship between individuals' multiple latent traits and their responses to test items. One major challenge in parameter estimation in MIRT is that the likelihood involves intractable multidimensional integrals due to the latent variable structure. Various methods have been proposed that involve either direct numerical approximations to the integrals or Monte Carlo simulations. However, these methods are known to be computationally demanding in high dimensions and rely on sampling data points from a posterior distribution. We propose a new Gaussian variational expectation--maximization (GVEM) algorithm which adopts variational inference to approximate the intractable marginal likelihood by a computationally feasible lower bound. In addition, the proposed algorithm can be applied to assess the dimensionality of the latent traits in an exploratory analysis. Simulation studies are conducted to demonstrate the computational efficiency and estimation precision of the new GVEM algorithm compared to the popular alternative Metropolis–Hastings Robbins–Monro algorithm. In addition, theoretical results are presented to establish the consistency of the estimator from the new GVEM algorithm.     

A semi-parametric within-subject mixture approach to the analyses of responses and response times

In item response theory, modelling the item response times in addition to the item responses may improve the detection of possible between- and within-subject differences in the process that resulted in the responses. For instance, if respondents rely on rapid guessing on some items but not on all, the joint distribution of the responses and response times will be a multivariate within-subject mixture distribution. Suitable parametric methods to detect these within-subject differences have been proposed. In these approaches, a distribution needs to be assumed for the within-class response times. In this paper, it is demonstrated that these parametric within-subject approaches may produce false positives and biased parameter estimates if the assumption concerning the response time distribution is violated. A semi-parametric approach is proposed which resorts to categorized response times. This approach is shown to hardly produce false positives and parameter bias. In addition, the semi-parametric approach results in approximately the same power as the parametric approach.     

Numerical approximation of the observed information matrix with Oakes' identity

An efficient and accurate numerical approximation methodology useful for obtaining the observed information matrix and subsequent asymptotic covariance matrix when fitting models with the EM algorithm is presented. The numerical approximation approach is compared to existing algorithms intended for the same purpose, and the computational benefits and accuracy of this new approach are highlighted. Instructive and real-world examples are included to demonstrate the methodology concretely, properties of the estimator are discussed in detail, and a Monte Carlo simulation study is included to investigate the behaviour of a multi-parameter item response theory model using three competing finite-difference algorithms.     

Independent effects of word concreteness and word valence on immediate serial recall

The present study examined the roles of word concreteness and word valence in the immediate serial recall task. Emotion words (e.g. happy) were used to investigate these effects. Participants completed study-test trials with 7-item study lists consisting of positive or negative words with either high or low concreteness (Experiments 1 and 2) and neutral (i.e. non-emotion) words with either high or low concreteness (Experiment 2). In serial recall performance, we replicated the typical item concreteness effect (concrete words are better recalled than abstract words) and obtained an item valence effect (positive/neutral words are better recalled than negative words). However, there was no concreteness × valence interaction. We conclude that both word valence and word concreteness independently contribute to the serial order retention of emotion words in the immediate serial recall task.     

Psychometric Properties of the French Version of the Pictorial Scale of Perceived Movement Skill Competence for Young Children (PMSC)

ObjectiveThe objective of this study was to examine the psychometric properties of a French version of the pictorial scale of Perceived Movement Skill Competence for Young Children (PMSC), which is aligned with the third version of the Test of Gross Motor Development.MethodA sample of 219 French-speaking Canadian children (5 to 12 years old) participated in this study.ResultsResults supported the factor validity and reliability of a 13-item version of the PMSC encompassing two factors (i.e., ball skills and locomotor skills). Subsequent analyses supported the weak, partial strong, and partial strict invariance of responses to the PMSC as a function of sex. Additionally, analyses revealed that boys displayed significantly higher perceived ball skill competence than girls. Results also supported a lack of differential item functioning (DIF) and latent mean differences as a function of body mass index and physical activity/sport involvement, but revealed evidence of DIF and latent mean differences as a function of age. More precisely, these results show that older children displayed significantly: (a) higher scores on the sliding item and lower scores on the kicking item relative to younger children; and (b) lower scores on perceived locomotor skills competence than younger children.ConclusionOverall, results suggest that the French version of the PMSC has acceptable psychometric properties and can be confidently used in research or practice to assess children's perceived movement skill competence.     

引入眼动注视点的联合-交叉负载多模态认知诊断建模

多模态数据为实现对认知结构的精准诊断及其他认知特征(如, 认知风格)的全面反馈提供了可能性。为实现对题目作答精度、作答时间(RT)和视觉注视点数(FC)的联合分析, 本文基于联合-交叉负载建模法提出3个多模态认知诊断模型。实证研究及模拟研究结果表明: (1)联合分析比分离分析更适用于多模态数据; (2)新模型可直接利用RT和FC中信息提高潜在能力或潜在属性的估计准确性; (3)新模型的参数估计返真性较好; (4)忽略交叉负载所导致的负面结果比冗余考虑交叉负载所导致的更严重。