The impact of processing time on the bizarreness and orthographic distinctiveness effects

The bizarreness effect and the orthographic distinctiveness effect (OD effect) are typical cases of secondary-distinctiveness-based effects. This study tested the simple attentional account or processing time hypothesis as a possible explanation of the bizarreness effect and the OD effect. In the bizarreness effect literature, this hypothesis gained support by some studies but was also discredited by other research. In light of these conflicting results, Experiment 1 was devised to test the processing time hypothesis in the bizarreness effect by using black-and-white concrete images and manipulating the time allotted for processing the stimuli (500 ms, 1000 ms, 3000 ms). Concerning the OD effect, no research has directly investigated the impact of processing time by examining the effect under varying amounts of study time. Experiment 2 was thus devised to investigate this same hypothesis in the OD effect and time allotted for processing the stimuli was manipulated (250 ms, 500 ms, 1000 ms, 3000 ms). Results did not support the processing time hypothesis since the magnitude of the bizarreness effect and of the OD effect was not modulated by the amount of time allotted for processing the stimuli. We refer to alternative explanations to account for these two secondary-distinctiveness-based effects.     

Time-dependent forgetting in visual short-term memory

ABSTRACT

Whether visual short-term memory can be lost over an unfilled delay, in line with time-dependent forgetting, is controversial and prior work has yielded mixed results. The present study explored time-dependent forgetting in visual short-term memory in relation to other factors. In three experiments, participants compared single target and probe objects over a 2 s or 10 s retention interval. The objects across trials were either similar or dissimilar (Experiment 1) and had to be remembered in the presence of an additional distractor (Experiment 2) or under conditions where the amount of time separating trials varied (Experiment 3). In all experiments, the retention interval manipulation made the biggest contribution to performance, with accuracy decreasing as the retention interval was lengthened from 2 s to 10 s. These results pose problems for interference and temporal distinctiveness models of memory but are compatible with temporal forgetting mechanisms such as decay.     

A Note on the Conversion of Item Parameters Standard Errors

The relations among alternative parameterizations of the binary factor analysis (FA) model and two-parameter logistic (2PL) item response theory (IRT) model have been thoroughly discussed in literature. However, the conversion formulas widely available are mainly for transforming parameter estimates from one parameterization to another. There is a lack of discussion about the standard error (SE) conversion among different parameterizations, when SEs of IRT model parameters are often of immediate interest to practitioners. This article provides general formulas for computing the SEs of transformed parameter values, when these parameters are transformed from FA to IRT models. These formulas are suitable for unidimensional 2PL, multidimensional 2PL, and bi-factor 2PL models. A simulation study is conducted to verify the formula by providing empirical evidence. A real data example is given in the end for an illustration.     

Designing a brief measure of social anxiety: Psychometric support for a three-item version of the Interaction Anxiousness Scale (IAS-3)

Although social situations are enjoyable for most people, they cause extreme anxiety in others. To better understand individual differences in social anxiety, researchers have designed scales, such as the 15-item Interaction Anxiousness Scale (IAS; Leary, 1983), to measure people’s anxiousness in social situations. Despite the importance of measuring social anxiety, many research settings that require time or space constraints (e.g., field, longitudinal, daily diary studies) cannot always accommodate a 15-item scale. To address this problem, the current research aimed to create and validate a three-item version of the IAS. Studies examined the psychometric properties of a three-item measure of social anxiety (IAS-3). After choosing the best three items using item response theory methods (Study 1), we examined the IAS-3’s (a) concurrent validity with the 15-item IAS in a student sample (Studies 1 and 2), (b) test–retest reliability across 4 months (Study 2), and (c) construct validity in a diverse international sample (Studies 3 and 4). Across all studies, the IAS-3 showed good reliability and validity, supporting its use in future research.     

Model Selection of Nested and Non-Nested Item Response Models Using Vuong Tests

Abstract

In this paper, we apply Vuong’s general approach of model selection to the comparison of nested and non-nested unidimensional and multidimensional item response theory (IRT) models. Vuong’s approach of model selection is useful because it allows for formal statistical tests of both nested and non-nested models. However, only the test of non-nested models has been applied in the context of IRT models to date. After summarizing the statistical theory underlying the tests, we investigate the performance of all three distinct Vuong tests in the context of IRT models using simulation studies and real data. In the non-nested case we observed that the tests can reliably distinguish between the graded response model and the generalized partial credit model. In the nested case, we observed that the tests typically perform as well as or sometimes better than the traditional likelihood ratio test. Based on these results, we argue that Vuong’s approach provides a useful set of tools for researchers and practitioners to effectively compare competing nested and non-nested IRT models.