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171.
Multilevel analyses are often used to estimate the effects of group-level constructs. However, when using aggregated individual data (e.g., student ratings) to assess a group-level construct (e.g., classroom climate), the observed group mean might not provide a reliable measure of the unobserved latent group mean. In the present article, we propose a Bayesian approach that can be used to estimate a multilevel latent covariate model, which corrects for the unreliable assessment of the latent group mean when estimating the group-level effect. A simulation study was conducted to evaluate the choice of different priors for the group-level variance of the predictor variable and to compare the Bayesian approach with the maximum likelihood approach implemented in the software Mplus. Results showed that, under problematic conditions (i.e., small number of groups, predictor variable with a small ICC), the Bayesian approach produced more accurate estimates of the group-level effect than the maximum likelihood approach did.  相似文献   
172.

This study assessed technological resources for supporting adaptive responses in 2 men with profound multiple disabilities. The technological resources (an electronic control device connected to optic sensors and pleasant stimuli) ensured the activation of those stimuli contingent on adaptive responses. The responses consisted of putting various objects in a container fitted to a desk. Data showed that both participants reached satisfactory levels of adaptive responses in the intervention and generalization settings. Procedural issues, practical implications of the findings and measures for promoting response maintenance were discussed.  相似文献   
173.
目前参数估计多采用统计方法,存在耗时长、要求被试样本容量大和项目数多等缺点。本文将BP神经网络和降维法相结合,对GRM的项目参数和考生能力参数进行估计。蒙特卡洛模拟结果显示:(1)不管是人多题少还是题多人少,该网络设计下的参数估计精度都较高;(2)可以应用到多个不同等级评分的参数估计中,甚至是超过15个等级的项目参数,估计精度也较高,这是其他参数估计方法所不可比拟的;(3)运行的时长和统计估计方法相比大大缩减。  相似文献   
174.
Objective: People often overestimate how strongly behaviours and experiences are related. This memory-experience gap might have important implications for health care settings, which often require people to estimate associations, such as “my mood is better when I exercise”. This study examines how subjective correlation estimates between health behaviours and experiences relate to calculated correlations from online reports and whether subjective estimates are associated with engagement in actual health behaviour.

Design: Seven-month online study on physical activity, sleep, affect and stress, with 61 online assessments.

Main Outcome Measures: University students (N = 168) retrospectively estimated correlations between physical activity, sleep, positive affect and stress over the seven-month study period.

Results: Correlations between experiences and behaviours (online data) were small (r = ?.12–.14), estimated correlations moderate (r = ?.35–.24). Correspondence between calculated and estimated correlations was low. Importantly, estimated correlations of physical activity with stress, positive affect and sleep were associated with actual engagement in physical activity.

Conclusion: Estimation accuracy of relations between health behaviours and experiences is low. However, association estimates could be an important predictor of actual health behaviours. This study identifies and quantifies estimation inaccuracies in health behaviours and points towards potential systematic biases in health settings, which might seriously impair intervention efficacy.  相似文献   
175.
在西方文化背景下提出的时间自我评价理论认为,人们为了维护当前积极自尊,主观上会远离过去失败而亲近过去成功。本研究采用线段评估法,选取311名中国大学生被试,通过两个实验考察自尊水平、事件效价与时距对过去事件时距估计的影响,以检验该理论的文化普适性。结果表明:对过去事件的时距估计,自尊水平、事件效价及其交互作用在同一时距里均不存在显著差异;时距的主效应及其与事件效价的交互作用均显著,在负效价水平上存在显著时距差异,在正效价水平上无显著时距差异。研究结果不支持基于西方文化背景下的时间自我评价理论。  相似文献   
176.
本文首先简要的阐述了MCMC算法的思想及在IRT参数估计中的操作过程;其次,针对该算法存在的一些问题,提出相应的改进建议;然后,分别运用传统的和改进型的MCMC算法进行模拟数据分析和比较,结果显示新的方法表现更好;最后总结新方法的优点所在,并指出下一步的研究方向。  相似文献   
177.
短时距估计中的心理影响因素   总被引:1,自引:0,他引:1  
刘瑞光 《心理科学》2013,36(5):1054-1057
使用单任务研究程序,预期式研究范式,以产生时距作为反应指标,通过两个实验考察短时距估计中的间断位置、间断时距和提示线索效应,探讨产生时距与等待时距的关系问题,揭示注意和间断期望对短时距估计的影响。研究结果表明, 间断实验中表现出极其显著的提示线索效应,间断位置(等待时距)效应显著,间断时距效应及间断位置与间断时距的交互效应不显著。由此得出:(1)注意是影响被试时间判断的主要因素,被试的产生时距随着等待时距的增加而延长。(2)被试对间断的期望显著地影响其时间估计行为,无间断实验条件下,间断期望有损于时间估计。  相似文献   
178.
Denrell J  Le Mens G 《Cognition》2011,119(3):313-324
Individuals tend to select again alternatives about which they have positive impressions and to avoid alternatives about which they have negative impressions. Here we show how this sequential sampling feature of the information acquisition process leads to the emergence of an illusory correlation between estimates of the attributes of multi-attribute alternatives. The sign of the illusory correlation depends on how the decision maker combines estimates in making her sampling decisions. A positive illusory correlation emerges when evaluations are compensatory or disjunctive and a negative illusory correlation can emerge when evaluations are conjunctive. Our theory provides an alternative explanation for illusory correlations that does not rely on biased information processing nor selective attention to different pieces of information. It provides a new perspective on several well-established empirical phenomena such as the ‘Halo’ effect in personality perception, the relation between proximity and attitudes, and the in-group out-group bias in stereotype formation.  相似文献   
179.
In this study, we used verbal protocols to identify whether adults spontaneously apply quartile‐based strategies or whether they need additional external support to use these strategies when solving a 0–1,000 number line estimation (NLE) task. Participants were assigned to one of three conditions based on the number of external benchmarks provided on the number line. In the bounded condition only the origin and endpoint were indicated, the mid‐point condition included an additional external benchmark at 50%, and in the quartile condition three additional external benchmarks at 25%, 50%, and 75% were specified. Firstly, participants in the bounded condition reported to spontaneously apply quartile‐based strategies to calibrate their estimates. Moreover, participants frequently relied on the external benchmarks for creating internal benchmarks at the mid‐point, quartiles, and even octiles of the number line. Secondly, overall estimation accuracy improved as the number of external benchmarks increased, and target numbers close to external benchmarks were estimated more accurately and with less variability. Thirdly, the use of a larger variety in benchmark‐based strategies was positively related to NLE accuracy. In summary, this study provides evidence that the NLE task induces more sophisticated strategy use in participants than initially anticipated.  相似文献   
180.
Psychometric models for item-level data are broadly useful in psychology. A recurring issue for estimating item factor analysis (IFA) models is low-item endorsement (item sparseness), due to limited sample sizes or extreme items such as rare symptoms or behaviors. In this paper, I demonstrate that under conditions characterized by sparseness, currently available estimation methods, including maximum likelihood (ML), are likely to fail to converge or lead to extreme estimates and low empirical power. Bayesian estimation incorporating prior information is a promising alternative to ML estimation for IFA models with item sparseness. In this article, I use a simulation study to demonstrate that Bayesian estimation incorporating general prior information improves parameter estimate stability, overall variability in estimates, and power for IFA models with sparse, categorical indicators. Importantly, the priors proposed here can be generally applied to many research contexts in psychology, and they do not impact results compared to ML when indicators are not sparse. I then apply this method to examine the relationship between suicide ideation and insomnia in a sample of first-year college students. This provides an important alternative for researchers who may need to model items with sparse endorsement.  相似文献   
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