Developing Pairwise Preference-Based Personality Test and Experimental Investigation of Its Resistance to Faking Effect by Item Response Model

Recent years have shown increased awareness of the importance of personality tests in educational, clinical, and occupational settings, and developing faking-resistant personality tests is a very pragmatic issue for achieving more precise measurement. Inspired by Stark (2002) and Stark, Chernyshenko, and Drasgow (2005), we develop a pairwise preference-based personality test that aims to measure multidimensional personality traits using a large-scale statement bank. An experiment compares the resistance of the developed personality test to faking with that of rating scale-based personality tests in the item response theory model framework. Results show that latent traits estimated from the personality test based on the rating scale method are severely biased, and that faking effect can be pragmatically ignored in the personality test developed based on the pairwise preference method.     

Psychometrics in Support of a Valid Assessment of Linguistic Minorities: Implications for the Test and Sampling Designs

In this study, we propose that the unique needs and characteristics of linguistic minorities should be considered throughout the test development process. Unlike most measurement invariance investigations in the assessment of linguistic minorities, which typically are conducted after test administration, we propose strategies that focus on the early stages of test development. Our approaches involve considering linguistic minorities in the selection of the test and sampling designs. We posit that joint consideration of these issues preemptively can strengthen the claims derived from tests used to assess linguistically diverse populations. This also will contribute to more psychometrically robust assessments, which can yield accurate and valid score-based inferences for linguistic minorities. To this end, we provide various examples and methodological approaches that can be used in the selection of the test and sampling designs that take these issues into consideration.     

The notion of contextual locking: Previously learnt items are not accessible as such when appearing in a less common context

We examined the effect of context on the learning of spatial coding in four experiments. Two partially overlapping sets of stimuli, which had the very same stimulus–response spatial coding, were presented in unique contexts. Results show contextual locking—that is, response times to the very same item in a more common context (80%) were significantly shorter than those in a less common context (20%). Contextual locking was obtained both when the context was more salient (Experiments 1 and 2) and less salient (Experiments 3 and 4). In addition, results were obtained even when contextualization seemed less necessary (Experiments 2 and 4). Binding of information to context is discussed in relation to chunking, transfer effects, and practical applications pertaining to professional training.     

The influence of linguistic and cognitive factors on the time course of verb-based implicit causality

In three eye-tracking experiments the influence of the Dutch causal connective “want” (because) and the working memory capacity of readers on the usage of verb-based implicit causality was examined. Experiments 1 and 2 showed that although a causal connective is not required to activate implicit causality information during reading, effects of implicit causality surfaced more rapidly and were more pronounced when a connective was present in the discourse than when it was absent. In addition, Experiment 3 revealed that—in contrast to previous claims—the activation of implicit causality is not a resource-consuming mental operation. Moreover, readers with higher and lower working memory capacities behaved differently in a dual-task situation. Higher span readers were more likely to use implicit causality when they had all their working memory resources at their disposal. Lower span readers showed the opposite pattern as they were more likely to use the implicit causality cue in the case of an additional working memory load. The results emphasize that both linguistic and cognitive factors mediate the impact of implicit causality on text comprehension. The implications of these results are discussed in terms of the ongoing controversies in the literature—that is, the focusing-integration debate and the debates on the source of implicit causality.     

PDP启动型实验程序与Richardson-Klavehn模型的比较研究

2个实验对PDP的启动型实验程序与Richardson-Klavehn的修正模型进行了比较研究,通过对指示语的操纵,考察提取策略是否完全受意志控制,以及注意水平、刺激材料、测验类型、加工水平对被试作业的影响.结果发现刺激材料对有意识控制记忆的实验结果影响很大,对PDP的无意识自动加工参数无影响;启动型实验程序的结果与PDP理论相当一致;提取策略不一定是受意志精确控制的.     

A multitrait-multimethod model with minimal assumptions

A new model of confirmatory factor analysis (CFA) for multitrait-multimethod (MTMM) data sets is presented. It is shown that this model can be defined by only three assumptions in the framework of classical psychometric test theory (CTT). All other properties of the model, particularly the uncorrelated-ness of the trait with the method factors are logical consequences of the definition of the model. In the model proposed there are as many trait factors as different traits considered, but the number of method factors is one fewer than the number of methods included in an MTMM study. The covariance structure implied by this model is derived, and it is shown that this model is identified even under conditions under which other CFA-MTMM models are not. The model is illustrated by two empirical applications. Furthermore, its advantages and limitations are discussed with respect to previously developed CFA models for MTMM data.     

心理学视野下的社会变迁研究：研究设计与分析方法

近年来,社会变迁导致的文化、心理与行为变化及其相互建构已经成为心理学的研究热点。社会变迁研究通常涉及和变迁相关的时间效应、时代效应以及和变迁无关的年龄效应。在考察变迁趋势及其影响因素时,常用的研究设计有跨时间比较、跨代际比较、跨地区比较(历史重构)等方法;常用的分析方法有传统的相关和回归分析和现代的时间序列分析(比如交叉滞后相关和格兰杰因果检验)等。由于每一种设计都有其优点和不足,在具体研究中,研究者要根据研究的问题和可操作性选择合适的方法;如果可能,最好同时采用多种方法,以寻求基于不同方法的聚合证据。     

汉语成语谜语问题解决中思路竞争的眼动研究

在谜语问题解决过程中, 可能存在着通过简单联想和新异联想寻找答案这两种思路。两个实验中设置了包括寻常答案与新颖答案在内的若干备择答案(实验1为4个, 实验2为6个)供被试选择, 利用眼动技术记录被试在解题过程中的不同时间段内对新颖答案与寻常答案的平均注视时间, 考察汉语成语谜语问题解决中两种思路之间冲突的过程。实验1操纵了任务要求, 实验2操纵了规则线索的有效性。实验结果表明：(1)在成语谜语问题解决中的一段时间内新异联想和简单联想能够同时发生且形成竞争; (2)选择“新颖且合适答案”的任务要求, 提高了成功形成新颖语义联结的概率, 但是并没有加快新异联想发生、发展的进程, 也没有改变两种思路相互竞争的局面; (3)有效的规则线索可以抑制简单联想, 阻止其发生, 同时可以加快新异联想发生、发展的进程。     

不同铆测验设计下多维IRT等值方法的比较

实际应用中测验往往具有多维结构, 如果仍采用单维IRT方法进行等值, 会得到不准确的结果。因此对于多维结构的测验, 需要使用多维IRT等值方法来实现参数的转换。基于共同题设计, 文章通过模拟研究的方法, 考察了不同铆测验设计下几种多维IRT等值方法的表现, 同时考虑了测验长度、两个维度题目数量的比例、铆测验长度、铆测验的选择策略、两个维度之间的相关和等值群体的能力水平差异六个因素的影响。所比较的多维IRT等值方法有：均值/均值(MM)方法, 均值/标准差(MS)方法, Stoking-Lord (SL)方法, Haebara (HB)方法, 最小平方(LS)方法。结果显示：(1) SL, HB和LS方法得到的等值误差均方根最小, 且在各条件下表现较为稳定。(2) MM和MS方法在非等组条件下呈现出很大的误差均方根。(3)铆测验设计对SL, HB和LS方法的等值结果没有显著影响。(4)在两个维度之间的相关较高, 测验长度和铆测验长度较长, 等值群体的能力水平没有差异的条件下, SL, HB和LS方法得到的等值误差均方根最小。     

A caveat on the Savage–Dickey density ratio: The case of computing Bayes factors for regression parameters

The Savage–Dickey density ratio is a simple method for computing the Bayes factor for an equality constraint on one or more parameters of a statistical model. In regression analysis, this includes the important scenario of testing whether one or more of the covariates have an effect on the dependent variable. However, the Savage–Dickey ratio only provides the correct Bayes factor if the prior distribution of the nuisance parameters under the nested model is identical to the conditional prior under the full model given the equality constraint. This condition is violated for multiple regression models with a Jeffreys–Zellner–Siow prior, which is often used as a default prior in psychology. Besides linear regression models, the limitation of the Savage–Dickey ratio is especially relevant when analytical solutions for the Bayes factor are not available. This is the case for generalized linear models, non-linear models, or cognitive process models with regression extensions. As a remedy, the correct Bayes factor can be computed using a generalized version of the Savage–Dickey density ratio.