心理与教育测验中反应时模型应用的优势与举例

基于计算机形式的测验使得收集作答反应时信息成为可能,这些信息的有效利用对心理与教育测验的理论研究和实际应用产生了重大影响。首先,归纳并总结了测验中使用反应时信息的五大优势。其次,分别介绍了4种不同取向下较典型的反应时模型与模型特征,并分别进行评价。再次,较系统地梳理了反应时模型在实践中的应用,使读者了解反应时信息在测验中所发挥的作用。最后,探讨了未来将反应时应用于心理与教育测量领域的几个研究方向。     

基于行动者-对象相互依赖模型探究牺牲动机对亲密关系满意度的影响

目的:探究牺牲动机对亲密关系满意度的影响以及知觉到对方牺牲动机的中介作用。方法:对168对情侣采用亲密关系满意度、牺牲动机和知觉到对方的牺牲动机量表来测量,并运用行动者-对象相互依赖模型进行分析。结果:行动者效应:知觉到对方的牺牲趋近动机是牺牲趋近动机和关系满意度的中介变量。对象效应:只发现女性的牺牲趋近动机通过正向影响男性知觉到的牺牲趋近动机从而正向影响男性的关系满意度。结论:本研究有助于理解恋人双方做出牺牲行为背后的动机对于双方关系满意度的影响。     

同龄效应的类别化-个体化模型

针对面孔认知偏好的类别化-个体化模型,探讨该模型中的知觉经验、加工方式和动机水平对本龄效应的影响。结果表明增加对异龄面孔的知觉经验、个体化加工异龄面孔及提高加工异龄面孔的动机都能有效改善对异龄面孔的再认,减少本龄效应量。这说明本龄效应遵循类别化-个体化模型,且在类别化-个体化模型中本龄效应与本族效应加工原理相仿。。     

分离型的多级评分认知诊断模型开发及其应用研究

本文基于DINO模型开发出一种分离型的多级评分认知诊断模型(P-DINO模型),并采用Monte Carlo模拟与实证研究相结合的范式,探讨了新模型的性能与有效性。结果表明:(1)P-DINO模型参数估计精度较好,参数估计的稳健性较强。(2)采用MCMC算法可以实现该模型的参数估计,估计结果较理想。(3)测验长度的增加能有效提高模型的判准率,被试人数的增加对判准率的提高相对较小,属性个数的增加会降低判准率。(4)在抑郁症状评估中,P-DINO模型的表现要优于DINO模型与传统的抑郁症状评估。     

Two sides of the career resources coin: Career adaptability resources and the impostor phenomenon

Considering the impostor phenomenon (IP) as an important psychological construct in the context of career development requires a theoretical grounding. Using the career construction model of adaptation as a guiding framework, we investigated how the IP is related to adaptive readiness (represented by core self-evaluations), career adaptability resources, and adapting responses, namely, career planning, career decision-making difficulties, career exploration, and occupational self-efficacy. We used parallel multiple mediation modeling to investigate specific indirect effects through concern, control, curiosity, confidence, and the IP. We conducted an online study with 289 university students. Results indicated a positive effect of core self-evaluations on career planning, career exploration, and occupational self-efficacy and a negative effect on career decision-making difficulties through adaptability resources. The IP emerged as a “maladaptability” resource: That is, it might be a hindrance to adaptive coping and behavior and consequently promote maladaptive coping and behavior by decreasing career planning and occupational self-efficacy and increasing career decision-making difficulties. Supplementary negative effects of the IP on adaptability resources are discussed.     

Developing new online calibration methods for multidimensional computerized adaptive testing

Multidimensional computerized adaptive testing (MCAT) has received increasing attention over the past few years in educational measurement. Like all other formats of CAT, item replenishment is an essential part of MCAT for its item bank maintenance and management, which governs retiring overexposed or obsolete items over time and replacing them with new ones. Moreover, calibration precision of the new items will directly affect the estimation accuracy of examinees’ ability vectors. In unidimensional CAT (UCAT) and cognitive diagnostic CAT, online calibration techniques have been developed to effectively calibrate new items. However, there has been very little discussion of online calibration in MCAT in the literature. Thus, this paper proposes new online calibration methods for MCAT based upon some popular methods used in UCAT. Three representative methods, Method A, the ‘one EM cycle’ method and the ‘multiple EM cycles’ method, are generalized to MCAT. Three simulation studies were conducted to compare the three new methods by manipulating three factors (test length, item bank design, and level of correlation between coordinate dimensions). The results showed that all the new methods were able to recover the item parameters accurately, and the adaptive online calibration designs showed some improvements compared to the random design under most conditions.     

Analysis of categorical moderators in mixed‐effects meta‐analysis: Consequences of using pooled versus separate estimates of the residual between‐studies variances

Subgroup analyses allow us to examine the influence of a categorical moderator on the effect size in meta‐analysis. We conducted a simulation study using a dichotomous moderator, and compared the impact of pooled versus separate estimates of the residual between‐studies variance on the statistical performance of the Q _{B (P)} and Q _{B (S)} tests for subgroup analyses assuming a mixed‐effects model. Our results suggested that similar performance can be expected as long as there are at least 20 studies and these are approximately balanced across categories. Conversely, when subgroups were unbalanced, the practical consequences of having heterogeneous residual between‐studies variances were more evident, with both tests leading to the wrong statistical conclusion more often than in the conditions with balanced subgroups. A pooled estimate should be preferred for most scenarios, unless the residual between‐studies variances are clearly different and there are enough studies in each category to obtain precise separate estimates.     

The assessment of knowledge and learning in competence spaces: The gain–loss model for dependent skills

The gain–loss model (GaLoM) is a formal model for assessing knowledge and learning. In its original formulation, the GaLoM assumes independence among the skills. Such an assumption is not reasonable in several domains, in which some preliminary knowledge is the foundation for other knowledge. This paper presents an extension of the GaLoM to the case in which the skills are not independent, and the dependence relation among them is described by a well‐graded competence space. The probability of mastering skill s at the pretest is conditional on the presence of all skills on which s depends. The probabilities of gaining or losing skill s when moving from pretest to posttest are conditional on the mastery of s at the pretest, and on the presence at the posttest of all skills on which s depends. Two formulations of the model are presented, in which the learning path is allowed to change from pretest to posttest or not. A simulation study shows that models based on the true competence space obtain a better fit than models based on false competence spaces, and are also characterized by a higher assessment accuracy. An empirical application shows that models based on pedagogically sound assumptions about the dependencies among the skills obtain a better fit than models assuming independence among the skills.     

Learning words and learning sounds: Advances in language development

Phonological development is sometimes seen as a process of learning sounds, or forming phonological categories, and then combining sounds to build words, with the evidence taken largely from studies demonstrating ‘perceptual narrowing’ in infant speech perception over the first year of life. In contrast, studies of early word production have long provided evidence that holistic word learning may precede the formation of phonological categories. In that account, children begin by matching their existing vocal patterns to adult words, with knowledge of the phonological system emerging from the network of related word forms. Here I review evidence from production and then consider how the implicit and explicit learning mechanisms assumed by the complementary memory systems model might be understood as reconciling the two approaches.