Knowledge of Results for Motor Learning: Relationship Between Error Estimation and Knowledge of Results Frequency

The authors of the present study investigated the apparent contradiction between early and more recent views of knowledge of results (KR), the idea that how one is engaged before receiving KR may not be independent of how one uses that KR. In a 2 × 2 factorial design, participants (N = 64) practiced a simple force-production task and (a) were required, or not required, to estimate error about their previous response and (b) were provided KR either after every response (100%) or after every 5th response (20%) during acquisition. A no-KR retention test revealed an interaction between acquisition error estimation and KR frequencies. The group that received 100% KR and was required to error estimate during acquisition performed the best during retention. The 2 groups that received 20% KR performed less well. Finally, the group that received 100% KR and was not required to error estimate during acquisition performed the poorest during retention. One general interpretation of that pattern of results is that motor learning is an increasing function of the degree to which participants use KR to test response hypotheses (J. A. Adams, 1971; R. A. Schmidt, 1975). Practicing simple responses coupled with error estimation may embody response hypotheses that can be tested with KR, thus benefiting motor learning most under a 100% KR condition. Practicing simple responses without error estimation is less likely to embody response hypothesis, however, which may increase the probability that participants will use KR to guide upcoming responses, thus attenuating motor learning under a 100% KR condition. The authors conclude, therefore, that how one is engaged before receiving KR may not be independent of how one uses KR.     

A Bayesian Approach to More Stable Estimates of Group-Level Effects in Contextual Studies

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.     

The Impact of Size of Cooperative Group on Achievement,Social Support,and Self-Esteem

The effect of cooperative learning in pairs and groups of 4 and in individualistic learning were compared on achievement, social support, and self-esteem. Sixty-two Italian 7th-grade students with no previous experience with cooperative learning were assigned to conditions on a stratified random basis controlling for ability, gender, and self-esteem. Students participated in 1 instructional unit for 90 min for 6 instructional days during a period of about 6 weeks. The results indicate that cooperative learning in pairs and 4s promoted higher achievement and greater academic support from peers than did individualistic learning. Students working in pairs developed a higher level of social self-esteem than did students learning in the other conditions.     

Gender Differences in Body Size Dissatisfaction Among Individuals With Low,Medium, or High Levels of Body Focus

The authors designed the present study to test whether women reported higher levels of body dissatisfaction than did men even when the 2 genders were matched on a measure of degree of body focus. Sixty undergraduates (30 men, 30 women) were screened on attention-to-body-shape scores and divided into high, medium, and low body-shape-focus groups. The participants also completed questionnaires that provided information on age, education, vocabulary ability, levels of depression, and body-image assessment. The groups did not differ (ps > .05) on age, education, vocabulary ability, or levels of depression. However, women in all 3 body-shape-focus categories indicated a larger discrepancy between their real vs. ideal body images (p < .01) than did the men. In the high-body-focus group, there was an 11:1 ratio between women's and men's reported real-ideal body-shape discrepancies. Women showed greater body dissatisfaction than did men, even when the genders were matched on a measure of body focus.     

Investigation of the process underpinning vowel‐size correspondence

Vowel‐size correspondence is frequently reported in the literature: Namely, the vowels a and i tend to elicit bigger and smaller images, respectively. Previous studies have speculated that two factors may contribute to this vowel‐size correspondence: the acoustical features of vowels and the speaker's kinesthetic experience of producing them. However, these two factors have been investigated without being considered separately in previous research. In this study, we investigated the process underpinning vowel‐size correspondence by using speeded classification tasks and manipulating the two factors mentioned above separately in two experiments. The results of Experiment 1 indicate that a and i elicited bigger and smaller images even in the absence of kinesthetic experience. The results of Experiment 2 indicate that the proprioception of the size of the oral cavity on its own may not contribute to vowel‐size correspondence. Thus, the acoustic features of vowels mainly contribute to vowel‐size correspondence, although other possibilities are also discussed.     

青少年自我价值感量表研究结果的元分析

采用元分析法对1998年到2011年间使用青少年自我价值感量表为工具的研究结果进行整合分析。结果发现,近十年来青少年自我价值感水平在各维度或层次上高于全国常模,且没有显著的性别差异;与年级常模相比,多数因子高于常模,中学生部分特殊自我价值感因子与常模差异不显著;青少年自我价值感的年代效应显著;研究目的、报告质量、地区、出版年代等因素仅对某些特殊自我价值感有影响,而对总体自我价值感没有系统的影响。     

基于GRM模型的BP神经网络参数估计

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。     

‘I feel better when…’: An analysis of the memory-experience gap for peoples’ estimates of the relationship between health behaviours and experiences

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.