Category-length and category-strength effects using images of scenes

Global matching models have provided an important theoretical framework for recognition memory. Key predictions of this class of models are that (1) increasing the number of occurrences in a study list of some items affects the performance on other items (list-strength effect) and that (2) adding new items results in a deterioration of performance on the other items (list-length effect). Experimental confirmation of these predictions has been difficult, and the results have been inconsistent. A review of the existing literature, however, suggests that robust length and strength effects do occur when sufficiently similar hard-to-label items are used. In an effort to investigate this further, we had participants study lists containing one or more members of visual scene categories (bathrooms, beaches, etc.). Experiments 1 and 2 replicated and extended previous findings showing that the study of additional category members decreased accuracy, providing confirmation of the category-length effect. Experiment 3 showed that repeating some category members decreased the accuracy of nonrepeated members, providing evidence for a category-strength effect. Experiment 4 eliminated a potential challenge to these results. Taken together, these findings provide robust support for global matching models of recognition memory. The overall list lengths, the category sizes, and the number of repetitions used demonstrated that scene categories are well-suited to testing the fundamental assumptions of global matching models. These include (A) interference from memories for similar items and contexts, (B) nondestructive interference, and (C) that conjunctive information is made available through a matching operation.     

Mobile Internet Testing: An analysis of equivalence,individual differences,and reactions

Mobile internet testing (MIT) is the latest cost effective technological push in employment testing. The ability to access assessments via the internet using mobile devices provides increased speed and convenience for both administrators and respondents. In this article, we examine the equivalence of MIT compared with testing on personal computers (PCs) and whether attitudes and other individual differences influence responses and reactions to MIT. Results demonstrated equivalence for a supervisory situational judgment test across testing modes, but not for a cognitive ability test. Significant relationships were found between anxiety and both performance and reactions to mobile assessment. Respondents also reported significantly more positive reactions when tested on a PC versus a mobile device. Future research and practical implications are discussed.     

The effectiveness of three strategies to reduce the influence of bias in evaluations of female leaders

This study tests the effectiveness of three strategies [structured free recall (SFR), source monitoring, and error management] to reduce the impact of raters' stereotypes on evaluations of female leaders. Results reveal several three‐way interactions indicating that that the strategies became more effective as raters' implicit bias decreased. Findings show that the source monitoring and SFR methods were more effective than the error management strategy. The results have implications for improving opportunities for women to advance through the leadership ranks. This study adds to the literature by comparing multiple strategies to reduce the influence of individuals' biases in evaluations of women in leadership positions and revealing the importance of considering raters' implicit gender biases in evaluations.     

Differential item functioning by sex and race in the Hogan Personality Inventory

The authors examined measurement bias in the Hogan Personality Inventory by investigating differential item functioning (DIF) across sex and two racial groups (Caucasian and Black). The sample consisted of 1,579 Caucasians (1,023 men, 556 women) and 523 Blacks (321 men, 202 women) who were applying for entry-level, unskilled jobs in factories. Although the group mean differences were trivial, more than a third of the items showed DIF by sex (38.4%) and by race (37.3%). A content analysis of potentially biased items indicated that the themes of items displaying DIF were slightly more cohesive for sex than for race. The authors discuss possible explanations for differing clustering tendencies of items displaying DIF and some practical and theoretical implications of DIF in the development and interpretation of personality inventories.     

Is the Chinese number-naming system transparent? Evidence from Chinese-English bilingual children.

Chinese-speaking children have been shown to have an advantage over English-speaking children in a variety of mathematical areas, including counting. One possible explanation for the advantage in counting is that the Chinese number-naming system is relatively transparent, compared to English, in that number names typically are directly indicative of base-10 structure (e.g., 12 is named "ten-two" rather than "twelve"). To determine whether the transparency of the Chinese number-naming system influences counting in bilingual children, we tested 25 Chinese-English bilingual children between the ages of 3 and 5 years, both in English and in Chinese. Children were asked to count as high as they could (abstract counting) and also to count objects in small, medium, and large arrays (object counting). No evidence was found for transparency or for transfer from one language to the other. Instead, relative proficiency in the two languages influenced counting skill. These results are discussed in terms of linguistic and cultural variables that might account for cross-linguistic differences in counting.