多维题组效应Rasch模型

首先, 本文诠释了“题组”的本质即一个存在共同刺激的项目集合。并基于此, 将题组效应划分为项目内单维题组效应和项目内多维题组效应。其次, 本文基于Rasch模型开发了二级评分和多级评分的多维题组效应Rasch模型, 以期较好地处理项目内多维题组效应。最后, 模拟研究结果显示新模型有效合理, 与Rasch题组模型、分部评分模型对比研究后表明：(1)测验存在项目内多维题组效应时, 仅把明显的捆绑式题组效应进行分离而忽略其他潜在的题组效应, 仍会导致参数的偏差估计甚或高估测验信度; (2)新模型更具普适性, 即便当被试作答数据不存在题组效应或只存在项目内单维题组效应, 采用新模型进行测验分析也能得到较好的参数估计结果。     

IRT与MIRT在测验垂直等值中的应用

测验垂直等值是指将测试同一心理特质的不同水平的测验转换到同一个分数量尺上的过程。IRT与MIRT是实现垂直等值的主要方法。IRT无需假设被试的能力分布, 参数估计不依赖于样本, 是构建垂直量表的有效方法, 但测验不满足单维假设时其应用受到限制。MIRT结合IRT和因素分析的特点对IRT进行了拓展, 可更有效估计多维测验的项目参数和被试能力参数, 在垂直等值中有重要应用。已有研究主要探讨IRT和MIRT在垂直等值应用中的适用性、标定方法和参数估计方法, 比较研究两种方法的特性。未来研究应纳入更多变量条件进行比较研究, 拓展方法的应用。     

Engineering students’ perceptions of engineering specialties

The field of engineering is defined by a number of specialty areas, thus most engineering students must decide upon an educational specialty track within the engineering major. Data on familiarity with, and perceptions of similarity among 11 engineering specialties were collected from 129 undergraduate engineering students from a public urban university. Similarity data were collected by way of a paired comparison task, and multidimensional scaling techniques were used to map these data into spatial representations. A three-dimensional solution was selected. Analysis of variance procedures also were used to examine differences in perceptions of engineering specialties by gender, ethnicity, commitment to career choice, and career decision-making self-efficacy. Results indicated that female students rated engineering specialties as more prestigious than male students, and students with a more dogmatic stance towards career rated engineering as relatively exclusive to men.     

心理测量学模型在学习进阶中的应用:理论、途径和突破

学习进阶是对学生在一段时间内,关于某一主题连续发展、逐渐复杂思维的描述,它的建立是以假设性学习进阶为起点到收集证据验证假设性学习进阶不断迭代的过程。心理测量学模型能够使学习进阶与评价结合起来,既为验证学习进阶的有效性提供证据,又能对学生做出诊断,当前应用到学习进阶中的心理测量学模型有单维项目反应模型、多维项目反应模型和认知诊断模型。学习进阶还能为垂直量尺化、自适应学习提供新的研究视角,但应注意项目功能差异等问题。     

A relation between a between-item multidimensional IRT model and the mixture rasch model

Two generalizations of the Rasch model are compared: the between-item multidimensional model (Adams, Wilson, and Wang, 1997), and the mixture Rasch model (Mislevy & Verhelst, 1990; Rost, 1990). It is shown that the between-item multidimensional model is formally equivalent with a continuous mixture of Rasch models for which, within each class of the mixture, the item parameters are equal to the item parameters of the multidimensional model up to a shift parameter that is specific for the dimension an item belongs to in the multidimensional model. In a simulation study, the relation between both types of models also holds when the number of classes of the mixture is as small as two. The relation is illustrated with a study on verbal aggression. Frank Rijmen was supported by the Fund for Scientific Research Flanders (FWO). This research is also funded by the GOA/2000/02 granted from the KU Leuven. We would like to thank Kristof Vansteelandt for providing the data of the study on verbal aggression.     

Multidimensional adaptive testing with constraints on test content

The case of adaptive testing under a multidimensional response model with large numbers of constraints on the content of the test is addressed. The items in the test are selected using a shadow test approach. The 0–1 linear programming model that assembles the shadow tests maximizes posterior expected Kullback-Leibler information in the test. The procedure is illustrated for five different cases of multidimensionality. These cases differ in (a) the numbers of ability dimensions that are intentional or should be considered as nuisance dimensions and (b) whether the test should or should not display a simple structure with respect to the intentional ability dimensions.     

The revised transliminality scale: reliability and validity data from a Rasch top-down purification procedure

The concept of transliminality ("a hypothesized tendency for psychological material to cross thresholds into or out of consciousness") was anticipated by William James (1902/1982), but it was only recently given an empirical definition by Thalbourne in terms of a 29-item Transliminality Scale. This article presents the 17-item Revised Transliminality Scale (or RTS) that corrects age and gender biases, is unidimensional by a Rasch criterion, and has a reliability of.82. The scale defines a probabilistic hierarchy of items that address magical ideation, mystical experience, absorption, hyperaesthesia, manic experience, dream interpretation, and fantasy proneness. These findings validate the suggestions by James and Thalbourne that some mental phenomena share a common underlying dimension with selected sensory experiences (such being overwhelmed by smells, bright lights, sights, and sounds). Low scores on transliminality remain correlated with "tough mindedness" in on Cattell 16PF test, as well as "self-control" and "rule consciousness," whereas high scores are associated with "abstractedness" and an "openness to change" on that test. An independent validation study confirmed the predictions implied by our definition of transliminality. Implications for test construction are discussed.     

How do applicants fake? A response process model of faking on multidimensional forced-choice personality assessments

Faking on personality assessments remains an unsolved issue, raising major concerns regarding their validity and fairness. Although there is a large body of quantitative research investigating the response process of faking on personality assessments, for both rating scales (RS) and multidimensional forced choice (MFC), only a few studies have yet qualitatively investigated the faking cognitions when responding to MFC in a high-stakes context (e.g., Sass et al., 2020). Yet, it could be argued that only when we have a process model that adequately describes the response decisions in high stakes, can we begin to extract valid and useful information from assessments. Thus, this qualitative study investigated the faking cognitions when responding to MFC personality assessment in a high-stakes context. Through cognitive interviews with N = 32 participants, we explored and identified factors influencing the test-takers' decisions regarding specific items and blocks, and factors influencing the willingness to engage in faking in general. Based on these findings, we propose a new response process model of faking forced-choice items, the Activate-Rank-Edit-Submit (A-R-E-S) model. We also make four recommendations for practice of high-stakes assessments using MFC.     

Clinical applications of Matte Blanco's thinking

Ignacio Matte Blanco (1908–1995) left very few specific indications about the applications of his theoretical notions to his interpretative style. The author shows how he uses Matte Blanco to formulate some of his own interpretations. The first part of the paper uses clinical vignettes to illustrate some of Matte‐Blanco's concepts. Their theoretical vocabulary is thus made explicit. Then two psychoanalytic sessions are discussed at greater length, together with one from a therapy, so that the use of Matte‐Blanco's notions can be seen clearly, allowing for a fresh perspective on areas of psychoanalytic theory, particularly dreams, psychopathology viewed according to the proportions of asymmetrical and symmetrical functioning in the patient's bi‐logical mental system, the multidimensionality of the unconscious, the structural unconscious, the emotion‐thought relationship, projective identification, resistance, and negative therapeutic reaction. The practical consequences of all this are elaborated, particularly the ensuing possibility of ‘thinking with the patient' in the session. This enables the patient to introject a form of mental functioning in which the asymmetrical mode is not invaded by the symmetric mode (a parallel can be seen here with the Bionian concept of dialogue between the psychotic and non‐psychotic parts of the mind).     

Specifying Ability Growth Models Using a Multidimensional Item Response Model for Repeated Measures Categorical Ordinal Item Response Data

When categorical ordinal item response data are collected over multiple timepoints from a repeated measures design, an item response theory (IRT) modeling approach whose unit of analysis is an item response is suitable. This study proposes a few longitudinal IRT models and illustrates how a popular compensatory multidimensional IRT model can be utilized to formulate such longitudinal IRT models, which permits an investigation of ability growth at both individual and population levels. The equivalence of an existing multidimensional IRT model and those longitudinal IRT models is also elaborated so that one can make use of an existing multidimensional IRT model to implement the longitudinal IRT models.