Empirically Corrected Rescaled Statistics for SEM with Small N and Large p

Survey data often contain many variables. Structural equation modeling (SEM) is commonly used in analyzing such data. With typical nonnormally distributed data in practice, a rescaled statistic T_rml proposed by Satorra and Bentler was recommended in the literature of SEM. However, T_rml has been shown to be problematic when the sample size N is small and/or the number of variables p is large. There does not exist a reliable test statistic for SEM with small N or large p, especially with nonnormally distributed data. Following the principle of Bartlett correction, this article develops empirical corrections to T_rml so that the mean of the empirically corrected statistics approximately equals the degrees of freedom of the nominal chi-square distribution. Results show that empirically corrected statistics control type I errors reasonably well even when N is smaller than 2p, where T_rml may reject the correct model 100% even for normally distributed data. The application of the empirically corrected statistics is illustrated via a real data example.     

Decreased attention to object size information in scale errors performers

Young children sometimes make serious attempts to perform impossible actions on miniature objects as if they were full-size objects. The existing explanations of these curious action errors assume (but never explicitly tested) children's decreased attention to object size information. This study investigated the attention to object size information in scale errors performers. Two groups of children aged 18–25 months (N = 52) and 48–60 months (N = 23) were tested in two consecutive tasks: an action task that replicated the original scale errors elicitation situation, and a looking task that involved watching on a computer screen actions performed with adequate to inadequate size object. Our key finding – that children performing scale errors in the action task subsequently pay less attention to size changes than non-scale errors performers in the looking task – suggests that the origins of scale errors in childhood operate already at the perceptual level, and not at the action level.     

Accelerated lamellar disintegration in eutectoid steel

The fastest kinetics of lamellar disintegration (predicted duration of 44 min) in AISI 1080 steel is obtained with a novel approach of incomplete austenitisation-based cyclic heat treatment involving forced air cooling with an air flow rate of 8.7 m³ h^?1. A physical model for process kinetics is proposed that involves lamellar fragmentation, lamellar thickening, divorced eutectoid growth and generation of new lamellar faults in remaining cementite lamellae in each cycle. Lamellar fragmentation is accentuated with faster rate of cooling through generation of more intense lamellar faults; but divorced eutectoid growth is ceased. Accordingly, as compared to still air cooling, much faster kinetics of lamellar disintegration is obtained by forced air cooling together with the generation of much smaller submicroscopic cementite particles (containing more proportion of plate-shaped non-spheroids) in divorced eutectoid region.     

The association between religion and self-reported academic honesty among college students

Current research yields inconsistent findings about the association between religious variables and academic cheating among college students. In this study, we investigated possible reasons for this disagreement by examining whether, and to what extent, three particular religious variables: religious identity, affirmation of importance and religious services attendance, are associated with academic honesty among college students. Specifically, we utilised a sample of 2503 American college-aged students from Gallup^® daily tracking survey and used analysis of variance (ANOVA) to address the proposed research question. Research findings indicate that religious service attendance is positively associated with academic honesty among college students. Specifically, students who attend religious services more frequently are less likely to be engaged in academic misconduct than students who attend less frequently. This finding remains consistent when other important factors such as student attitudes toward cheating and gender were included in the analysis.     

选择集大小对网购决策态度和行为的影响

研究探讨网络购物中选择集大小对决策态度和行为的影响,以及目标确定性和产品类型对该关系的调节作用。采用2(大选择集vs.小选择集)×2(目标明确vs.目标不明确)×2(体验型产品vs.搜索型产品)的组间设计,发现大选择集组选择满意度、自信心更高,但延迟选择更多,出现态度-行为分离。目标不明确时,大选择集组延迟选择更多。     

Stimulus size matters: do life-sized stimuli induce stronger embodiment effects in mental rotation?

Against the background of the embodied cognition approach this experiment investigated the influence of motor expertise on object-based vs. egocentric transformations in a chronometric mental rotation (MR) task using images of either the own or another person’s body as stimulus material. The present study aimed to clarify two issues: (1) whether stimulus size (life size vs. small) is able to induce embodiment effects and (2) which role self-awareness processes play when using stimuli of the own body. The same design was conducted twice using both small stimuli (Study 1) and life-size human figures (Study 2). Using life-sized figures in Study 2 resulted in an explicit advantage of self-related stimuli and improved performance for motor experts compared to non-motor experts in both object-based and egocentric transformations. In conclusion, these results suggest that life-sized figures do indeed induce stronger embodiment effects in MR.     

取样大小对因果强度推理的影响研究

摘 要：使用纸笔测验探讨表格集中呈现信息条件下取样大小对单一因果关系强度推理的影响,并比较五种模型ΔP、效力PC、SS效力、Support和χ2的预测与实验数据的相关。结果显示：（1）取样大小对不同的问题有不同的影响：高取样在ΔP=0时导致了低估计值,在0<|ΔP|=PPC时没有效果,在|ΔP|相似文献   

物理大小和面积的无意识空间表征

意识水平的研究发现,数字量的比较机制与物理刺激比较的机制是一样的;在无意识水平上的研究发现,数字加工存在无意识语义启动现象。我们假设,在数字的物理特性的比较任务中可能存在无意识启动效应和类SNARC效应。实验一的数字比较任务和数字的物理大小比较任务发现,在33毫秒的无意识启动条件下,数字语义比较任务和数字物理大小比较任务中都发现了类SNARC效应、启动效应以及Stroop效应。实验二的数字覆盖面积比较任务中发现,在33毫秒的启动水平,数字比较与数字覆盖面积的比较任务中均存在SNARC效应、Stroop效应和启动效应。     

Equivalency and reliability of vectors of g-loadings across different methods of estimation and sample sizes

We examine the variability in g-loadings with particular focus on the differential stability (i.e., rank order inconsistencies) of the vector of loadings due to sample size and method of estimation. Our results, based on 1600 factor-analyses, show that different methods of estimation require different sample sizes to achieve the same level of stability in loadings. However, all methods examined yielded reliable vectors when sample sizes of N = 400 were used. Some methods yielded reliable vectors with sample sizes of N = 200. Such results provide guidelines for choosing an appropriate sample size when g-loadings are of interest.     

Visual Technologies, Cosmographies, and Our Sense of Place in the Universe

The first part of this paper surveys the visual technologies that have transformed the modern visual environment and argues for the relevance of their study to an understanding of modernity in general and to the field of religion and science in particular. The term cosmography is adopted for the visual and spatial manifestation of a worldview, and the importance of analyzing and advancing modern cosmography is asserted. In the second part, the focus shifts to one particular challenge presented by modern cosmography: how to represent and find visual meaning in the new range of size scales that have been offered up by the modern scientific worldview. Six strategies for representing and finding meaning in this new expanded picture of the universe are explored.