国内调节效应的方法学研究

在心理学和其他社科研究领域, 大量实证文章建立调节效应模型, 以分析自变量对因变量的影响是如何随着调节变量的变化而改变。过去10多年, 调节效应分析成了方法学研究的一个热点。从显变量的调节效应、潜变量的调节效应、多层数据的调节效应、基于两层回归模型的单层调节分析、纵向数据的调节效应、调节和中介的整合模型六个主题系统地总结了国内调节效应分析的方法学研究的发展历程。最后对调节效应的未来研究方向做了讨论和拓展。     

项目反应理论观察分数核等值的影响因素

探究带宽选择方法、样本量、题目数量、等值设计、数据模拟方式对项目反应理论观察分数核等值的影响。通过两种数据模拟方式,获得研究数据,并计算局部与全域评价指标。研究发现,在随机组设计中,带宽选择方法表现相似;考生样本量和题目数量影响甚微。在非等组设计中,惩罚法与Silverman经验准则表现优异;增加题目量可降低百分相对误差和随机误差;增加样本量导致百分相对误差变大,随机误差减小。数据模拟方式可影响等值评价。未来应重点关注等值系统评估。     

正念对压力的影响-基于监测与接纳理论

压力是对潜在威胁性事件产生的生理与心理反应。正念通过专注当下并保持接纳的态度缓解压力。然而以往关于正念缓解压力的研究并没有明确具体的机制,且忽略了正念影响压力过程中的复杂性与多样性。监控与接纳理论通过解构监控与接纳成分,更加清晰地呈现了正念的作用机制,因此本文依据监控与接纳理论,梳理正念对压力的影响效果及其心理神经机制。未来的研究在探讨正念通过监控与接纳成分影响压力的同时应重点关注监控作用效果与机制;重视压力刺激与压力评估的重要性;设计新的实验范式,直接探究正念监控与接纳对压力影响的心理与神经机制。     

Children’s effortful control and academic achievement: do relational peer victimization and classroom participation operate as mediators?

Given that early academic achievement is related to numerous developmental outcomes, understanding processes that promote early success in school is important. This study was designed to clarify how students’ (N = 291; M age in fall of kindergarten = 5.66 years, SD = 0.39 year) effortful control, relational peer victimization, and classroom participation relate to achievement, as students progress from kindergarten to first grade. Effortful control and achievement were assessed in kindergarten, classroom participation and relational peer victimization were assessed in the fall of first grade, and achievement was reassessed in the spring of first grade. Classroom participation, but not relational peer victimization, mediated relations between effortful control and first grade standardized and teacher-rated achievement, controlling for kindergarten achievement. Findings suggest that aspects of classroom participation, such as the ability to work independently, may be useful targets of intervention for enhancing academic achievement in young children.     

Examiner error in curriculum-based measurement of oral reading

Although curriculum based measures of oral reading (CBM-R) have strong technical adequacy, there is still a reason to believe that student performance may be influenced by factors of the testing situation, such as errors examiners make in administering and scoring the test. This study examined the construct-irrelevant variance introduced by examiners using a cross-classified multilevel model. We sought to determine the extent of variance in student CBM-R scores attributable to examiners and, if present, the extent to which it was moderated by students' grade level and English learner (EL) status. Fit indices indicated that a cross-classified random effects model (CCREM) best fits the data with measures nested within students, students nested within schools, and examiners crossing schools. Intraclass correlations of the CCREM revealed that roughly 16% of the variance in student CBM-R scores was associated between examiners. The remaining variance was associated with the measurement level, 3.59%; between students, 75.23%; and between schools, 5.21%. Results were moderated by grade level but not by EL status. The discussion addresses the implications of this error for low-stakes and high-stakes decisions about students, teacher evaluation systems, and hypothesis testing in reading intervention research.     

Single-case effect size calculation: Comparing regression and non-parametric approaches across previously published reading intervention data sets

Growing from demands for accountability and research-based practice in the field of education, there is recent focus on developing standards for the implementation and analysis of single-case designs. Effect size methods for single-case designs provide a useful way to discuss treatment magnitude in the context of individual intervention. Although a standard effect size methodology does not yet exist within single-case research, panel experts recently recommended pairing regression and non-parametric approaches when analyzing effect size data. This study compared two single-case effect size methods: the regression-based, Allison-MT method and the newer, non-parametric, Tau-U method. Using previously published research that measured the Words read Correct per Minute (WCPM) variable, these two methods were examined by comparing differences in overall effect size scores and rankings of intervention effect. Results indicated that the regression method produced significantly larger effect sizes than the non-parametric method, but the rankings of the effect size scores had a strong, positive relation. Implications of these findings for research and practice are discussed.     

正常高值血压者血压昼夜节律与靶器官损害的相关性研究

探讨正常高值血压昼夜节律与靶器官损害的相关性。入选正常高值血压者150例,其中杓型组72例,非杓型组78例,60例正常血压者为对照组。检测尿白蛋白排泄率（UAE）、颈动脉内膜中层厚度（IMT）和左心室重量指数（LVMI）。杓型组和非杓型组UAE、IMT、LVMI高于对照组（P＜0．01）。非杓型组UAE、IMT、LVMI高于杓型组（P＜0．05）。正常高值血压人群已出现靶器官损害,血压昼夜节律异常与早期靶器官损害密切相关。