Double Decomposition of Level-1 Variables in Multilevel Models: An Analysis of the Flynn Effect in the NSLY Data

This paper introduces an extension of cluster mean centering (also called group mean centering) for multilevel models, which we call “double decomposition (DD).” This centering method separates between-level variance, as in cluster mean centering, but also decomposes within-level variance of the same variable. This process retains the benefits of cluster mean centering but allows for context variables derived from lower level variables, other than the cluster mean, to be incorporated into the model. A brief simulation study is presented, demonstrating the potential advantage (or even necessity) for DD in certain circumstances. Several applications to multilevel analysis are discussed. Finally, an empirical demonstration examining the Flynn effect (Flynn, 1987 Flynn, J. R. (1987). Massive IQ gains in 14 nations: What IQ tests really measure. Psychological Bulletin, 101(2), 171. https://doi.org/10.1037/h0090408.[Crossref], [Web of Science ®] , [Google Scholar]), our motivating example, is presented. The use of DD in the analysis provides a novel method to narrow the field of plausible causal hypotheses regarding the Flynn effect, in line with suggestions by a number of researchers (Mingroni, 2014 Mingroni, M. A. (2014). Future efforts in Flynn effect research: Balancing reductionism with holism. Journal of Intelligence, 2(4), 122. https://doi.org/10.3390/jintelligence2040122.[Crossref] , [Google Scholar]; Rodgers, 2015 Rodgers, J. L. (2015). Methodological issues associated with studying the Flynn effect: Exploratory and confirmatory efforts in the past, present, and future. Journal of Intelligence, 3(4), 111. https://doi.org/10.3390/jintelligence3040111. [Crossref] , [Google Scholar]).     

Pseudocontingencies in Consumer Choice: Preference for Prevalent Product Categories Decreases with Decreasing Set Quality

Building on theorizing about contingency inferences, the present research deals with the impact of product category prevalence on consumer choice. We argue that a category's prevalence in the choice set can signal high quality, but the validity depends on the aggregate quality of the choice set. With ever more low‐quality products in the set, high prevalence should increasingly signal poor rather than high quality. When choosing from a poor‐quality set, choices should thus favor products from the rare category. In four experiments, we show that poor‐quality sets increase the proportion of consumers choosing products from a rare category. Furthermore, we show that these effects increase when base rates of a category and quality become more extreme. Finally, Experiment 4 shows that contingency inferences partly mediate the effect of set quality on choice. The results extend previous research on contingency inferences, indicating the adaptive use of base‐rate information in consumer decision making. Copyright © 2017 John Wiley & Sons, Ltd.     

Distortions of temporal integration and perceived order caused by the interplay between stimulus contrast and duration

Stimulus contrast and duration effects on visual temporal integration and order judgment were examined in a unified paradigm. Stimulus onset asynchrony was governed by the duration of the first stimulus in Experiment 1, and by the interstimulus interval in Experiment 2. In Experiment 1, integration and order uncertainty increased when a low contrast stimulus followed a high contrast stimulus, but only when the second stimulus was 20 or 30 ms. At 10 ms duration of the second stimulus, integration and uncertainty decreased. Temporal order judgments at all durations of the second stimulus were better for a low contrast stimulus following a high contrast one. By contrast, in Experiment 2, a low contrast stimulus following a high contrast stimulus consistently produced higher integration rates, order uncertainty, and lower order accuracy. Contrast and duration thus interacted, breaking correspondence between integration and order perception. The results are interpreted in a tentative conceptual framework.     

Age and outcome allocation: A new test of the subtractive model

The no, moderate, and large differences between shares of outcome allocated to the high and low performers are interpreted as the respective rules of equality, ordinal equity, and proportional equity. The ability to employ the proportional rule is also believed to develop around the age of 13 years. The authors hypothesized that: (i) the rule of outcome allocation is subtraction; and (ii) age differences in outcome allocation are mediated by age differences in perceived inputs. In an experiment on Chinese aged 8–20 years, measures of perceived inputs were taken after or before outcome allocation. Results from the input-allocation order supported the hypotheses. Obviously, age effects in outcome allocations by Asians can sometimes be mediated by age differences in the ability to perceive the inputs accurately.     

时间顺序关系对语言理解的影响

通过2个实验探讨在语言理解中时间顺序相关性(顺时序、反时序、不相关)和时间间隔(200ms、500ms、1000ms)在日常事件认识中的作用。实验采用关系——认知范式(relarion-recognition paradigm)。结果表明：被试在有明显时间信息影响下,优先对将来取向(顺时序)的事件进行加工处理。对时间上不相关的事件比对顺时序和反时序的事件加工得快而准。但在无明显时间信息影响时,首先受到本身词义的影响,继而受到隐含的时间信息的影响。     

Affect and automatic mood maintenance

The hedonic contingency model (HCM; Wegener & Petty, 1994) states that individuals have learned to seek out positive activities while in a happy mood in order to maintain or elevate that mood. We argue that this tendency may become overlearned and, thus, automated. More specifically, the experience of a happy mood was predicted to automatically activate the mood-maintenance tendency proposed by the HCM. Participants induced into happy, sad, or neutral moods ranked their preferences for future activities that were nonconsciously associated with either a positive or negative valence. Supporting the notion of automatic mood maintenance, happy participants appeared to evaluate the affective qualities of the future activities and base their preferences on this evaluation without realizing that they were doing so. Theoretical implications of this finding are discussed.     

Quantum Theory and the Resurrection of Jesus

Abstract :  Ever since the time of Hume it has been a truism that the worldview of empirical science, and Christian assertion of the resurrection of Jesus, are antithetical to each other. Yet post‐Newtonian science, and especially quantum theory, suggests the need for a reappraisal of this truism. This reappraisal will first examine the implications of the indeterminism of the quantum world, to consider the physical possibility of Jesus' resurrection. Second, an appraisal of the historical evidence will suggest the likelihood of Jesus' resurrection. Finally, I will consider some implications of all this for contemporary Christian thought.     

Implicit learning of what comes when and where within a sequence: The time-course of acquiring serial position-item and item-item associations to represent serial order

Much research has been conducted aimed at the representations and mechanisms that enable learning of sequential structures. A central debate concerns the question whether item-item associations (i.e., in the sequence A-B-C-D, B comes after A) or associations of item and serial list position (i.e., B is the second item in the list) are used to represent serial order. Previously, we showed that in a variant of the implicit serial reaction time task, the sequence representation contains associations between serial position and item information (Schuck, Gaschler, Keisler, & Frensch, 2011). Here, we applied models and research methods from working memory research to implicit serial learning to replicate and extend our findings. The experiment involved three sessions of sequence learning. Results support the view that participants acquire knowledge about order structure (item-item associations) and about ordinal structure (serial position-item associations). Analyses suggest that only the simultaneous use of the two types of knowledge acquisition can explain learning-related performance increases. Additionally, our results indicate that serial list position information plays a role very early in learning and that inter-item associations increasingly control behavior in later stages.