中文版正念教学量表的信效度检验

目的:修订中文版正念教学量表并检验其在中国教师群体中的信效度。方法:使用样本1(n1=302)进行项目分析、探索性因素分析; 样本2(n2=185)进行验证性因素分析; 使用样本1和2检验量表的跨组测量不变性,并考察效标效度; 样本3(n3=30)进行重测信度检验。结果:中文版正念教学量表为二因子结构,包括个体内正念和人际间正念两个分量表,具有良好的结构效度、效标效度及信度。且该量表在小学、初中及高中教师中达到部分测量强等值。结论:该量表适宜在我国中小学教师群体中使用。     

中文版无手机恐惧量表的修订

该研究以国外学者Caglar Yildirim和Ana-Paula Correia于2015年编制的Nomophobia量表为基础,修订出了适用于国内的中文版无手机恐惧量表。研究首先使用探索性结构方程模型对量表结构进行初探; 其次使用项目反应模型进行项目分析并根据其分析结果对项目进行修改和筛选,最终形成正式版量表; 最后对正式版量表其进行信效度检验,并再次对量表题目进行项目分析。最终量表共16道题目,包括害怕无法获得信息、害怕失去便利、害怕失去联系和害怕失去网络连接4个维度; 总量表的Cronbach α系数为0.931,四维度的α系数分别为:0.789,0.816,0.887和0.896。CFA验证性结果显示量表结构较好(χ2/df=3.91,RMSEA=0.067,TLI=0.941,CFI=0.952,SRMR=0.04); 使用手机成瘾倾向量表作为校标的结果显示二者之间相关为0.626,效度良好。最终量表项目区分度在[1.734,4.806]之间,四维度区分度均值为2.1765,2.72,3.2925和3.883,项目难度参数在[-1.830,4.806]之间。综上结果显示该研究编制的无手机恐惧量表各项指标均达到了心理测量学要求,可供后续研究使用     

中介效应的检验方法和效果量测量:回顾与展望

通过中介效应检验方法之间的比较和效果量指标之间的比较,建议放弃将总效应c显著作为中介效应检验的前提条件,放弃基于直接效应c'显著性的完全和部分中介的提法,推荐使用偏差校正的百分位Bootstrap法直接对中介效应ab进行检验,使用κ²、R_med²等中介效果量指标并报告效果量的置信区间。作为示例,用R软件的MBESS软件包对某消防员饮食健康调查进行了中介效应检验和效果量测量。随后展望了中介效应检验方法和效果量测量的拓展方向。     

形象度对图标内隐记忆和外显记忆的影响

记忆心理学领域大量研究证实了内隐记忆和外显记忆的ERP分离,且内隐记忆相比外显记忆在记忆容量、保持时间及稳定性上均有优势。实验记录了15名被试在内隐记忆任务与外显记忆任务中形象图标和抽象图标的行为及ERP数据。结果表明:内隐记忆中,形象图标的行为和300～500ms顶区差异波的启动量均显著高于抽象图标。外显记忆中,形象图标的外显记忆正确率显著高于抽象图标,而反应时无显著差异; 300～500ms额区的差异波,形象图标显著负向于抽象图标,而500～800ms顶区的晚成分差异波两者无显著差异。研究结果表明,形象图标在浅加工下进行无意识记忆具有明显的优势。形象图标与抽象图标在图形化界面语言的使用中一直存在争论,通过实验在行为指标与脑电生理指标上提供了量化证据。     

大学生情绪复杂性对情绪信息注意偏向的影响

为考察大学生情绪复杂性对情绪信息注意偏向的影响,通过情绪体验范围和区分性量表(RDEES)筛选出高低情绪复杂性被试各30名,采用2(情绪复杂性:高、低)×3(效价:正性、中性和负性)×4(呈现条件:0/300/600/900ms)的三因素混合设计要求被试完成视觉搜索任务。结果显示:(1)高、低情绪复杂性组在情绪条件(正性、负性)下的正确率显著低于中性图片、反应时显著高于中性图片,均表现出对情绪图片的注意偏向;(2)高分组在正性图片0ms呈现的条件下的正确率显著高于低分组,在负性图片300ms和900ms呈现和正性图片900ms呈现条件下的反应时显著低于低分组。     

中文版婴儿态度量表在已婚育龄女性中的信效度检验

目的 将婴儿态度量表(Attitude Toward Babies Scale,ABS)进行汉化,并检验在中国已婚育龄女性中的信效度。方法 采用方便取样的方法,选取贵州、山西、湖北等地的700名育龄女性进行施测,通过项目分析、内容效度分析、探索性因素分析、验证性因素分析、效标关联效度、Cronbach α系数、分半信度、重测信度评价其信效度。结果 项目分析表明,婴儿态度量表各条目与量表各维度总分显著相关,具有良好的区分度; 内容效度分析表明专家间一致性水平(IR)为1,I-CVI在0.83～1之间,S-CVI/UA为0.82,S-CVI/Ave为0.97; 探索性因素分析得出5个特征值>1的因子,累计方差贡献率为54.399%; 验证性因素分析表明五因素模型拟合度较好(χ2/df=2.500,CFI=0.922,TLI=0.914,RMSEA=0.048,SRMR=0.050); 各效标与该量表显著相关; 总量表Cronbach α系数为0.748,量表的分半信度为0.661,重测信度为0.639。结论 修订后的ABS具有良好的信效度,可以作为已婚育龄女性生育动机的有效测量工具。     

多级计分测验中基于残差统计量的被试拟合研究

本文提出一种多级计分项目下的个人拟合统计量R, 考察它在检测6种常见的异常作答模式(作弊、猜测、随机、粗心、创新作答、混合异常)下的表现, 并与标准化对数似然统计量l_zp进行比较。结果表明：(1) 在异常作答覆盖率较低并且异常作答类型为作弊和猜测时, R的检测率显著高于l_zp; (2) 随着测验长度和被试异常程度的增加, 两种统计量的检测率都会上升; (3) 在一些条件下, R与l_zp检测效果接近。实证数据分析进一步展示了R统计量的使用方法和过程, 结果也表明R统计量具有较好的应用前景。     

个体相对剥夺感问卷在大学生群体的信效度检验

翻译与修订个体相对剥夺感问卷(Personal Relative Deprivation Scale,PRDS),并在大学生群体中进行了信效度检验。探索性因子分析结果显示,原问卷中两个反向计分的项目在主因子载荷很低,删除这两个项目后的PRDS-3各项目鉴别力良好; 探索性因子分析和验证性因子分析均显示PRDS-3符合单维度结构; PRDS-3重测信度为0.89,在不同样本间的内部一致性系数为0.77-0.81; PRDS-3得分与相对剥夺感、经济相对剥夺感、焦虑、压力、抑郁、攻击性等效标具有中高程度的相关关系(r>0.4,p<0.01)。PRDS-3得分与社会比较倾向的能力维度显著相关(r=0.46,p<0.01),且能部分地中介能力社会比较倾向对物质主义和生活满意度的影响。综上,可以认为,中文版PRDS-3信效度指标良好,符合测量学要求,可作为相对剥夺感的评估工具。     

多层次研究的数据聚合适当性检验:文献评价与关键问题试解

组织管理领域的多层次研究经常需要测量共享单位特性构念, 常用方法是将单位内若干个体成员的评分聚合到单位层次, 确保聚合后的分数具有充分代表性的统计前提是通过聚合适当性检验。聚合适当性检验的常用指标是组内一致性r_WG和组内信度ICC(1)、ICC(2), 但目前学界对于这两类指标何者更优、r_WG的原分布选择和数据清理、各指标的划界值等关键问题存在诸多争议。为此, 首先对国内9份管理学、心理学期刊2014年以来发表的166篇包含聚合适当性检验的论文进行内容分析, 并以Journal of Applied Psychology上的85篇论文为对比, 查明常规实践中的共性问题, 进而提出实践建议:(1)明确功能定位, 将r_WG作为聚合适当性指标, ICC(1)和ICC(2)分别作为效度、信度指标。(2)计算r_WG时审慎选择原分布, 排除组内一致性过低的组。(3)为各指标设定更加合理、有适度灵活性的划界值, 停止使用武断、粗糙的经验标准。最后, 强调研究者在模型构建和聚合决策中应加强理论考量, 避免片面依赖统计检验结果。     

乌特勒支恋家症量表在大学生中的信效度检验

为检验中文版乌特勒支恋家症量表在大学生群体中的信效度,使用样本1(n=1071),进行信效度检验与测量等值性,使用样本2(n=177,连续5期)检验跨时点的纵向测量等值性。结果表明中文版乌特勒支恋家症量表为五因子结构,包含想家、孤独、想念朋友、适应困难和关于家庭的沉思5个维度,具有良好的信效度、效标效度与测量等值性。意味该量表适合在我国大学生群体中使用,并能够用于跨性别、年级以及时点的相关研究。     

Generalized eta and omega squared statistics: measures of effect size for some common research designs

The editorial policies of several prominent educational and psychological journals require that researchers report some measure of effect size along with tests for statistical significance. In analysis of variance contexts, this requirement might be met by using eta squared or omega squared statistics. Current procedures for computing these measures of effect often do not consider the effect that design features of the study have on the size of these statistics. Because research-design features can have a large effect on the estimated proportion of explained variance, the use of partial eta or omega squared can be misleading. The present article provides formulas for computing generalized eta and omega squared statistics, which provide estimates of effect size that are comparable across a variety of research designs.     

Eta Squared,Partial Eta Squared,and Misreporting of Effect Size in Communication Research

Communication researchers, along with social scientists from a variety of disciplines, are increasingly recognizing the importance of reporting effect sizes to augment significance tests. Serious errors in the reporting of effect sizes, however, have appeared in recently published articles. This article calls for accurate reporting of estimates of effect size. Eta squared (η²) is the most commonly reported estimate of effect sized for the ANOVA. The classical formulation of eta squared (Pearson, 1911; Fisher, 1928) is distinguished from the lesser known partial eta squared (Cohen, 1973), and a mislabeling problem in the statistical software SPSS (1998) is identified. What SPSS reports as eta squared is really partial eta squared. Hence, researchers obtaining estimates of eta squared from SPSS are at risk of reporting incorrect values. Several simulations are reported to demonstrate critical issues. The strengths and limitations of several estimates of effect size used in ANOVA are discussed, as are the implications of the reporting errors. A list of suggestions for researchers is then offered.     

Recommended effect size statistics for repeated measures designs

Investigators, who are increasingly implored to present and discuss effect size statistics, might comply more often if they understood more clearly what is required. When investigators wish to report effect sizes derived from analyses of variance that include repeated measures, past advice has been problematic. Only recently has a generally useful effect size statistic been proposed for such designs: generalized eta squared (η_G²; Olejnik & Algina, 2003). Here, we present this method, explain that η_G² is preferred to eta squared and partial eta squared because it provides comparability across between-subjects and within-subjects designs, show that it can easily be computed from information provided by standard statistical packages, and recommend that investigators provide it routinely in their research reports when appropriate.     

Confidence intervals for standardized linear contrasts of means

Most psychology journals now require authors to report a sample value of effect size along with hypothesis testing results. The sample effect size value can be misleading because it contains sampling error. Authors often incorrectly interpret the sample effect size as if it were the population effect size. A simple solution to this problem is to report a confidence interval for the population value of the effect size. Standardized linear contrasts of means are useful measures of effect size in a wide variety of research applications. New confidence intervals for standardized linear contrasts of means are developed and may be applied to between-subjects designs, within-subjects designs, or mixed designs. The proposed confidence interval methods are easy to compute, do not require equal population variances, and perform better than the currently available methods when the population variances are not equal.     

Negative estimate of variance-accounted-for effect size: How often it is obtained,and what happens if it is treated as zero

Researchers recommend reporting of bias-corrected variance-accounted-for effect size estimates such as omega squared instead of uncorrected estimates, because the latter are known for their tendency toward overestimation, whereas the former mostly correct this bias. However, this argument may miss an important fact: A bias-corrected estimate can take a negative value, and of course, a negative variance ratio does not make sense. Therefore, it has been a common practice to report an obtained negative estimate as zero. This article presents an argument against this practice, based on a simulation study investigating how often negative estimates are obtained and what are the consequences of treating them as zero. The results indicate that negative estimates are obtained more often than researchers might have thought. In fact, they occur more than half the time under some reasonable conditions. Moreover, treating the obtained negative estimates as zero causes substantial overestimation of even bias-corrected estimators when the sample size and population effect are not large, which is often the case in psychology. Therefore, the recommendation is that researchers report obtained negative estimates as is, instead of reporting them as zero, to avoid the inflation of effect sizes in research syntheses, even though zero can be considered the most plausible value when interpreting such a result. R code to reproduce all of the described results is included as supplemental material.     

A Method for Generating Simulated Plasmodes and Artificial Test Clusters with User-Defined Shape,Size, and Orientation

We present a simple method for generating simulated plasmodes and artificial test clusters with user-defined shape, size, and orientation. Our method differs from other cluster generation techniques in that it focuses on the validity of the cluster indicators. For J clusters, indicator validity is defined as the squared correlation ratio between the cluster indicator (i.e., the observed variable) and J-1 dummy variables. The within-cluster correlation structure and the univariate distributions of the cluster indicators are specified with procedures outlined by Fleishman (1978) and Vale and Maurelli (1983). Simulation results illustrate the utility of the method for cluster analysis evaluation research.     

The effectiveness of mentoring programs in corporate settings: A meta-analytical review of the literature

Many studies over the last 20-25 years have examined the benefits of mentoring for the protégé and the organization. A review of these studies being published revealed that there is not only a lack of studies utilizing or reporting comparison group information but also a general lack of experimental research about mentoring. This quantitative meta-analytic review provides a critical analysis of the effectiveness of mentoring, with an emphasis on research designs that compared career outcomes of mentored individuals to non-mentored individuals. The overall mean effect size of mentoring was significant, indicating that mentoring does improve career outcomes for individuals. Individual career outcomes were analyzed and reported. Informal mentoring produced a larger and more significant effect on career outcomes than formal mentoring. There is a need for more research comparing protégés and non-protégés to determine if it is the receipt of mentoring or individual characteristics that leads to career success.     

情绪汉词的主动遗忘效应:ERP研究

尽管证明人类具有主动遗忘能力的研究比较多,但是,探索情绪汉词主动遗忘效应以及电生理机制的实验却非常少。本研究采用事件相关电位技术、T/NT范式探索情绪汉词主动遗忘效应。实验一(行为研究)的结果显示,在中性和情绪汉词条件下,不回忆组的正确率都显著低于基线组,即得到了主动遗忘效应。同时,情绪汉词的主动遗忘效应量小于中性汉词。实验二(脑电研究)结果显示,在200-300ms,Fz,Cz,Pz电极点,回忆组的P2波幅高于不回忆组。在300-400ms,在Fz,Cz,Pz电极点,不回忆组的N2波幅高于回忆组。N2跟抑制过程高度相关,提示抑制是主动遗忘的一个主要原因。在400-500ms,在Pz电极点,回忆组的LPC波幅高于不回忆组。顶叶LPC跟记忆提取高度相关,提示主动遗忘阻止了回忆,这可能是主动遗忘效应发生的内在机制     

Effects of prenatal X-irradiation on open-field behavior in rats: application of randomized fostering technique and mapping results

Sprague-Dawley (SD) rats were given X-irradiation (150 R) on Day 17 of gestation. After birth, all male pups were pooled once and then assigned randomly to irradiated mothers and control mothers. Offspring were administered an open-field test at about 7 weeks of age. The analysis was performed on the basis of two approaches: In the per subject approach, individual subject data (aggregation across Day 2 through Day 4) were treated as the basic unit of statistical analysis. In the per litter approach, double aggregation (aggregation across Day 2 through Day 4 for each subject and aggregation across subjects within each litter) was used. The per subject approach was slightly more sensitive as to the treatment effect, but it induced a reduction in the magnitude of eta squared. A principal component analysis was performed using eta squared together with those of several reference groups. Results were plotted on a map constructed from component scores. The characteristics of behavior in X-irradiated rats were very similar to those of the earlier stage of trials in terms of the location on the map. The postnatal maternal effect on open-field behavior was not serious and was adequately negligible in practice. A new fostering procedure was proposed and its advantages discussed.