贝叶斯因子及其在JASP中的实现

统计推断在科学研究中起到关键作用, 然而当前科研中最常用的经典统计方法——零假设检验(Null hypothesis significance test, NHST)却因难以理解而被部分研究者误用或滥用。有研究者提出使用贝叶斯因子(Bayes factor)作为一种替代和(或)补充的统计方法。贝叶斯因子是贝叶斯统计中用来进行模型比较和假设检验的重要方法, 其可以解读为对零假设H₀或者备择假设H₁的支持程度。其与NHST相比有如下优势：同时考虑H₀和H₁并可以用来支持H₀、不“严重”地倾向于反对H₀、可以监控证据强度的变化以及不受抽样计划的影响。目前, 贝叶斯因子能够很便捷地通过开放的统计软件JASP实现, 本文以贝叶斯t检验进行示范。贝叶斯因子的使用对心理学研究者来说具有重要的意义, 但使用时需要注意先验分布选择的合理性以及保持数据分析过程的透明与公开。     

Parents' description of conduct problems in their children - a test of the Eyberg Child Behavior Inventory (ECBI) in a Swedish sample aged 3-10

The Eyberg Child Behavior Inventory (ECBI) is a widely used 36-item uni-dimensional parent rating scale constructed to measure disruptive behavior problems in children. However, in an American sample a 22-item version, including three subscales, has been suggested in order to increase the usefulness of the ECBI. Two studies were conducted to test the ECBI in a Swedish sample (N = 841). The aims of Study I were (a) examine the psychometric properties of the ECBI (b) to investigate the correspondence between mothers' and fathers' ratings, and (c) to obtain Swedish norms. The aim of Study II was to test the suggested three-factor solution in the Swedish sample using a confirmatory factor analysis (CFA). The ECBI showed good psychometric properties also in the present study, and Swedish normative data is presented. The best-fitting CFA-model was identical to the previously suggested three-factor model, which thus might be a useful alternative to the 36-item version.     

Item–trait association, scale multidimensionality, and differential item functioning identification in personality assessment

This report documents relationships between differential item functioning (DIF) identification and: (1) item–trait association, and (2) scale multidimensionality in personality assessment. Applying [Zumbo, B. D. (1999). A handbook on the theory and methods of differential item functioning (DIF): Logistic regression modeling as a unitary framework for binary and Likert-type (ordinal) item scores. Ottawa, ON: Directorate of Human Resources Research and Evaluation, Department of National Defense.] logistic regression model, DIF effect size is found to become increasingly inflated as investigated item associations with trait scores decrease. Similar patterns were noted for the influence of scale multidimensionality on DIF identification. Individuals who investigate DIF in personality assessment applications are provided with estimates regarding the impact of the magnitude of item and trait association and scale multidimensionality on DIF occurrence and effect size. The results emphasize the importance of excluding investigated items in focal trait identification prior to conducting DIF analyses and reporting item and scale psychometric properties in DIF reports.     

Motivation and engagement in diverse performance settings: Testing their generality across school,university/college,work, sport,music, and daily life

In the light of recent calls for more integrative approaches to theorizing and measurement in motivation and engagement research, the present study assesses the generality of key motivation and engagement constructs across seven performance domains: elementary school (N = 624), high school (N = 21,579), university/college (N = 420), work (N = 637), music (N = 224), sport (N = 204), and daily life (N = 249). Based on domain specific adaptations of the Motivation and Engagement Scale, multi-group confirmatory factor analyses (CFAs) tested invariance across the seven domains. First and higher order multi-group CFAs demonstrated broad invariance in factor loadings (in particular), factor correlations/variances, and uniquenesses across performance domains. Taken together, the present data support the hypothesized generality of key motivation and engagement constructs. Findings hold implications for pragmatic, statistical, substantive, and intervention considerations in motivation and engagement research and also for research into cognate constructs in personality psychology more generally.     

Measuring individualism and collectivism: The importance of considering differential components,reference groups,and measurement invariance

A new instrument of individualism and collectivism (I/C) was developed and three key issues in I/C measurement were addressed: differentiating components of I/C, understanding the impact of reference groups, and testing of measurement invariance. Three components of I/C were assessed in China and the U.S.: independence, competitiveness, and uniqueness for individualism; considering of one’s decisions on others, sharing of positive outcomes, and sharing of negative outcomes for collectivism. Collectivism was measured with respect to parents, friends, and general others. Results indicate that Chinese participants are less unique but more independent and competitive than their counterparts in the U.S. The expected cultural difference is found for parent collectivism across all three components and for sharing negative outcome with respect to all three reference groups. These results suggest that individualism is a multidimensional construct, whereas the dimensionality of collectivism appears to be a function of social distance. Measurement invariance was tested at configural, factor loading, and intercept levels for all components of I/C.     

人格分化的智力假设

人格与智力是个体差异中相互关联的两个重要方面,人格随智力水平的提高而不断分化,智力影响了特定人格维度之间的相关。尽管人格分化的智力假设尚未获得一致性的证据,但它却暗示了智力对人格结构的潜在影响。由于人格测量工具的信度和效度可能因受测者的能力水平而异,因此未来的研究应在使用统一测量工具的基础上,尽量扩大被试的能力范围,采用多重评估或集合评定的方法,使人格测量真正独立于受测者的认知能力。     

Upregulation of hippocampal TrkB and synaptotagmin is involved in treadmill exercise-enhanced aversive memory in mice

Cognitive functions usually involve various synaptic proteins and neurotrophic factors in the hippocampus. However, whether treadmill exercise can improve learning and memory by upregulating some of these molecules remain unraveled. To address this question, male BALB/c mice were divided into control and exercise groups, the latter group went through 4 weeks of treadmill exercise training. At the end of exercise training period, they were either tested for passive avoidance (PA) performance or sacrificed for quantifying the hippocampal levels of brain-derived neurotrophic factor (BDNF), tropomyosin-related kinase B (TrkB, the BDNF receptor), synaptotagmin (a Ca²⁺-dependent synaptic vesicle protein), and SNAP-25 (a presynaptic vesicular fusion protein). Our results showed that treadmill exercise training (1) increased the retention latency without affecting the fear acquisition in the PA test, (2) transiently increased the hippocampal BDNF level at 1, 2, and 4 h after the completion of exercise training, and (3) persistently increased the hippocampal protein levels of full-length TrkB, phosphorylated TrkB and synaptotagmin, but not truncated TrkB or SNAP-25. Moreover, the protein expression level of full-length TrkB or synaptotagmin was positively correlated with PA performance in mice. Finally, inhibition of TrkB signaling by K252a abolished the exercise-facilitated PA performance and upregulation of TrkB and synaptotagmin. Taken together, these data suggest that the upregulation of TrkB and synaptotagmin in the hippocampus contributes to the exercise-facilitated aversive memory.     

Calculating Impact Factor: How Bibliographical Classification of Journal Items Affects the Impact Factor of Large and Small Journals

As bibliographical classification of published journal items affects the denominator in this equation, we investigated how the numerator and denominator of the impact factor (IF) equation were generated for representative journals in two categories of the Journal Citation Reports (JCR). We performed a full text search of the 1st-ranked journal in 2004 JCR category “Medicine, General and Internal” (New England Journal of Medicine, NEJM, IF = 38.570) and 61st-ranked journal (Croatian Medical Journal, CMJ, IF = 0.690), 1st-ranked journal in category “Multidisciplinary Sciences” (Nature, IF = 32.182) and journal with a relative rank of CMJ (Anais da Academia Brasileira de Ciencias, AABC, IF = 0.435). Large journals published more items categorized by Web of Science (WoS) as non-research items (editorial material, letters, news, book reviews, bibliographical items, or corrections): 63% out of total 5,193 items in Nature and 81% out of 3,540 items in NEJM, compared with 31% out of 283 items in CMJ and only 2 (2%) out of 126 items in AABC. Some items classified by WoS as non-original contained original research data (9.5% in Nature, 7.2% in NEJM, 13.7% in CMJ and none in AABC). These items received a significant number of citations: 6.9% of total citations in Nature, 14.7% in NEJM and 18.5% in CMJ. IF decreased for all journals when only items presenting original research and citations to them were used for IF calculation. Regardless of the journal’s size or discipline, publication of non-original research and its classification by the bibliographical database have an effect on both numerator and denominator of the IF equation. Preliminary results of the study were presented at the 2006 ORI Research Conference on Research Integrity, Tampa, FL, December 1–3, 2006.     

A model for explanation of personal attitudes toward traffic of candidate drivers attending drivers’ courses: Risky candidate driver’s attitude model

There exist a good many scientific studies into risk-taking and risky behavior displayed by reckless drivers; however, there are only a few studies into attitudes towards the traffic displayed by candidate drivers. The present study aims to investigate the dimensionality of candidate attitudes’ drivers. Data were collected from questionnaire completed by 258 candidate drivers, and were divided into two sets. The first data was used to explore the underlying factor structure and five latent factors were derived; Factor A Attitude towards drinking and driving; Factor P positive attitude toward traffic; Factor S speeding; Factor T traffic flow vs. rule obedience; and Factor R risky candidate driver’s attitude. The second data set was used to confirm this factorial structure using confirmatory factor analysis. The fit indices showed that the model fitted the data well.     

进展性脑卒中诊治及相关因素分析

进展性脑卒中是缺血性脑血管病最常见的一个临床现象,进展性脑卒中的存在严重影响卒中患者的预后。迄今为止,关于其流行病学资料、发病机制、诊断标准、治疗均是极具挑战性的问题。进展性脑卒中可能是多种原因、多种病理机制所产生的多种状态的组合,治疗的手段应该以开放动脉或通过全身治疗的方法来增加脑灌注压为主。