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Conjectures and refutations in cognitive ability structural validity research: Insights from Bayesian structural equation modeling 认知能力结构效度研究中的猜想与反驳:来自贝叶斯结构方程模型的启示
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, SOCIAL Pub Date : 2025-06-01 Epub Date: 2025-04-03 DOI: 10.1016/j.jsp.2025.101432
Stefan C. Dombrowski , Ryan J. McGill , Gary L. Canivez , Marley W. Watkins , Alison E. Pritchard , Lisa A. Jacobson
The use of Bayesian structural equation modeling (BSEM) provided additional insight into the WISC–V theoretical structure beyond that offered by traditional factor analytic approaches (e.g., exploratory factor analysis and maximum likelihood confirmatory factor analysis) through the specification of all cross loadings and correlated residual terms. The results indicated that a five-factor higher-order model with a correlated residual between the Visual-Spatial and Fluid Reasoning group factors provided a superior fit to the four bifactor model that has been preferred in prior research. There were no other statistically significant correlated residual terms or cross loadings in the measurement model. The results further suggest that the WISC–V ten subtest primary battery readily attains simple structure and its index level scores may be interpreted as suggested in the WISC–V's scoring and interpretive manual. Moreover, BSEM may help to advance IQ theory by providing contemporary intelligence researchers with a novel tool to explore complex interrelationships among cognitive abilities—relationships that traditional structural equation modeling methods may overlook. It can also help attenuate the replication crises in school psychology within the area of cognitive assessment structural validity research through systematic evaluation of complex structural relationships obviating the need for CFA based post hoc specification searches which can be prone to confirmation bias and capitalization on chance.
贝叶斯结构方程模型(BSEM)的使用,通过规范所有交叉载荷和相关残差项,为wiscc - v理论结构提供了超越传统因子分析方法(如探索性因子分析和最大似然验证性因子分析)的额外洞察。结果表明,在视觉空间和流体推理组因子之间具有相关残差的五因子高阶模型优于先前研究中首选的四双因子模型。在测量模型中没有其他统计上显著的相关残差项或交叉负荷。结果进一步表明,WISC-V十分项测试原电池易于获得简单的结构,其指标水平得分可以按照WISC-V评分和解释手册中的建议进行解释。此外,BSEM为当代智力研究人员提供了一种探索认知能力之间复杂相互关系的新工具,从而有助于推动智商理论的发展,这种关系是传统结构方程建模方法可能忽略的。它还可以通过系统地评估复杂的结构关系来减少学校心理学在认知评估结构效度研究领域的复制危机,从而避免了基于CFA的事后规范搜索的需要,这种搜索容易产生确认偏差和偶然的大写。
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引用次数: 0
Bystanders tend to defend victims in a supportive classroom climate: A cluster randomized control trial and an observational study 旁观者倾向于在一个支持性的课堂环境中保护受害者:一项集群随机对照试验和一项观察研究
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, SOCIAL Pub Date : 2025-06-01 Epub Date: 2025-03-28 DOI: 10.1016/j.jsp.2025.101431
Sung Hyeon Cheon , Johnmarshall Reeve , Kyoung-Eun Yoo , Yong-Gwan Song , Herbert W. Marsh , Hye-Ryen Jang , Youngsun Lee
When bystanders reinforce bullies, bullying tends to escalate; when bystanders defend victims, bullying tends to de-escalate. Recognizing this pattern, we adopted a social-ecological perspective within a self-determination theory framework to conduct two studies. Study 1 was a pre-registered cluster randomized control trial in which 38 Korean secondary teachers (9 females, 29 males; 19 experimental, 19 control) participated in an intervention to learn how to teach in highly autonomy-supportive and not-at-all controlling ways. We hypothesized that this approach to teaching would create a supportive peer-to-peer classroom climate, which in turn would increase defending- and decrease passive- and reinforcing-bystanding. In three waves over an academic year, 1084 adolescent students (490 females, 594 males) reported their classroom climate and bystanding behaviors. According to a doubly latent multilevel SEM analysis, experimental group teachers created a more supportive climate (Β = 0.55, p < .001) and this classroom-level effect increased defending-bystanding (Β = 0.55, p = .001), decreased passive-bystanding (Β = −0.52, p < .001), and decreased reinforcing-bystanding (Β = −0.40, p = .006). Study 2 was a correlational study in which 629 adolescent students (398 females, 231 males) reported on their teacher's autonomy-supportive and controlling motivating styles and the 11 teachers (four females, seven males) rated each student on the three bystanding behaviors and the extent to which they contributed to two dimensions of classroom climate (i.e., supportive and conflictual). A SEM analysis showed that students' perceived autonomy-supportive teaching predicted teacher-rated supportive climate (Β = 0.23, p = .036) and students' perceived controlling teaching predicted teacher-rated conflictual climate (Β = 0.11, p = .041). According to mediation analyses, supportive climate ratings then predicted teacher-rated high defending (Β = 0.28, p = .006) and low passive (Β = −0.29, p < .001) bystander behavior, whereas conflictual climate ratings predicted teacher-rated low defending (Β = −0.22, p = .008) and high passive (Β = 0.26, p = .001) and high reinforcing (Β = 0.37, p < .001) bystander behavior. We conclude that teachers can learn how to create a supportive climate that orients students toward defending and away from passive and reinforcing bystanding.
当旁观者加强欺凌时,欺凌倾向于升级;当旁观者为受害者辩护时,欺凌倾向于降级。认识到这一模式,我们在自决理论框架内采用社会生态学视角进行了两项研究。研究1是一项预先注册的集群随机对照试验,其中38名韩国中学教师(9名女性,29名男性;(19名实验学生,19名对照组学生)参加了一项干预活动,学习如何以高度自主支持和完全不受控制的方式教学。我们假设这种教学方法会创造一种支持性的点对点课堂氛围,这反过来会增加防御,减少被动和强化的旁观。在一学年的三次浪潮中,1084名青少年学生(490名女生,594名男生)报告了他们的课堂气氛和旁观行为。双潜多层扫描电镜分析显示,实验组教师创造了更支持性的氛围(Β = 0.55, p <;.001),这种课堂层面的效应增加了防守性旁观(Β = 0.55, p = .001),减少了被动旁观(Β = - 0.52, p <;.001),而静置强化减少(Β = - 0.40, p = .006)。研究2是一项相关研究,629名青少年学生(398名女性,231名男性)报告了他们的老师的自主支持和控制激励风格,11名教师(4名女性,7名男性)对每个学生的三种旁观行为及其对课堂气氛两个维度(即支持性和冲突性)的贡献程度进行了评分。SEM分析显示,学生感知的自主支持性教学能预测教师评价的支持性气氛(Β = 0.23, p = 0.036),学生感知的控制性教学能预测教师评价的冲突气氛(Β = 0.11, p = 0.041)。根据中介分析,支持性气候评分预测教师评价的高防御(Β = 0.28, p = 0.006)和低被动(Β = - 0.29, p <;.001)旁观者行为,而冲突气候评分预测教师评价的低防御(Β = - 0.22, p = .008)、高被动(Β = 0.26, p = .001)和高强化(Β = 0.37, p <;.001)旁观者行为。我们的结论是,教师可以学习如何创造一种支持性的氛围,引导学生远离被动和强化旁观。
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引用次数: 0
A meta-analysis of the effects of academic interventions on academic and academic anxiety outcomes in secondary students 学业干预对中学生学业焦虑和学业焦虑结果影响的meta分析
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, SOCIAL Pub Date : 2025-06-01 Epub Date: 2025-03-28 DOI: 10.1016/j.jsp.2025.101433
Sarah Fishstrom , Philip Capin , Bethany H. Bhat , Katlynn Dahl-Leonard , Blair Payne , Hsuan-Hui Wang , Jordan Dille , Sharon Vaughn
The purpose of this meta-analysis was to examine the effects of academic interventions on academic achievement and academic anxiety outcomes among secondary students. A systematic search yielded 19 studies comprising 2377 participants from research conducted between 1990 and 2020. Results revealed statistically significant differences favoring academic treatments over the control on academic outcomes (g = 0.66, SE = 0.17) but no statistically significant benefits for academic anxiety outcomes (g = −0.13, SE = 0.11). Moderator analysis revealed that the domain focus of the intervention (i.e., math, literacy, or science) did not explain the variance in student outcomes in either achievement or anxiety. The findings from this study corroborate previous research with elementary students, which found that academic interventions improve academic outcomes but do not substantially reduce academic anxiety. These findings suggested that academic anxiety may need to be addressed directly. However, the authors caution against drawing strong conclusions due to the limited research in this area.
本荟萃分析的目的是探讨学业干预对中学生学业成就和学业焦虑结果的影响。一项系统搜索产生了19项研究,包括1990年至2020年期间进行的2377名参与者。结果显示,学术治疗组在学业成绩上优于对照组,差异有统计学意义(g = 0.66, SE = 0.17),但在学业焦虑方面无统计学意义(g = - 0.13, SE = 0.11)。调节分析显示,干预的领域焦点(即数学、识字或科学)并不能解释学生在成就或焦虑方面的差异。本研究的结果证实了先前对小学生的研究,即学业干预改善了学业成绩,但并没有实质性地减少学业焦虑。这些发现表明,学业焦虑可能需要直接解决。然而,由于这一领域的研究有限,作者警告不要得出强有力的结论。
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引用次数: 0
A review of research on the school climate of transgender middle and high schoolers: An ecological-transactional approach 跨性别初高中学生学校氛围研究综述:生态交易视角
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, SOCIAL Pub Date : 2025-06-01 Epub Date: 2025-05-01 DOI: 10.1016/j.jsp.2025.101459
Stephan Scrofani , Carol Lynn Martin , Sarah Lindstrom Johnson , Sabina Low , Dawn DeLay
Research that aims to identify the characteristics of school climate for transgender middle and high school students is still a new domain. This narrative review of the literature attends to this gap by aggregating recent research on school protective factors which inform trans middle and high school students' school climate and relate to their wellness outcomes. The review was guided by the ecological-transactional model to capture the multi-dimensional quality of school climate, including overlapping levels of the environment that inform protection and risk, and students' perceptions navigating these spaces. More specifically, this framework was applied to help identify aspects of the school ecology that are theoretically salient features of school climate for transgender middle and high school students. Although most research that applies developmental systems is guided by minority stress theory, this review is guided by the gender affirmative model (GAM) to help highlight findings on protection within and between overlapping socio-ecological levels in the school ecology. Supportive faculty allies, peer support, and parent support emerge as strong protective factors at the micro-level. At the exo-level, school programming efforts that are proactive by prioritizing a discourse that nurtures agency for trans students show to be the most protective. There is some evidence that suggests proximal level indicators are more protective than distal level for transgender middle and high school students. The advantages of a multi-level approach to school climate for trans students are discussed.
跨性别初高中学生校园氛围特征的研究仍是一个新的领域。这篇文献的叙述性回顾通过汇总最近关于学校保护因素的研究来弥补这一差距,这些因素为跨性别初中生和高中生的学校气候提供了信息,并与他们的健康结果有关。该评估以生态交易模型为指导,以捕捉学校气候的多维质量,包括为保护和风险提供信息的环境的重叠水平,以及学生对这些空间的感知。更具体地说,这个框架被应用于帮助确定学校生态的各个方面,这些方面在理论上是跨性别初中生和高中生学校气候的显著特征。尽管大多数应用发展系统的研究都以少数群体压力理论为指导,但本综述以性别肯定模型(GAM)为指导,以帮助突出学校生态中重叠社会生态水平内部和之间的保护发现。在微观层面上,支持性的教师盟友、同伴支持和家长支持成为强有力的保护因素。在外部层面,通过优先考虑培养跨性别学生代理能力的话语,积极主动的学校规划工作被证明是最具保护性的。有证据表明,近端水平指标对跨性别初高中学生的保护作用大于远端水平指标。讨论了跨性别学生的学校氛围多层次方法的优势。
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引用次数: 0
Critical relationality in research: A framework for engaging in research alongside Indigenous communities 研究中的关键关系:与土著社区一起参与研究的框架
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, SOCIAL Pub Date : 2025-06-01 Epub Date: 2025-03-26 DOI: 10.1016/j.jsp.2025.101430
Lisa N. Aguilar , Lora Henderson Smith , Anisa N. Goforth
Research involving Indigenous communities requires a nuanced approach that respects their communities' unique cultural contexts, knowledge systems, and values. This article presents the critical relationality in research framework conceptualized to facilitate respectful and collaborative engagement between researchers and Indigenous communities. Grounded in principles of decolonization, indigenization, critical theory, refusal, and survivance, this framework emphasizes the importance of visiting and visioning, sustaining relations and co-creation of knowledge, and sharing knowledge and embodying accountability. Drawing on lived experiences and best practices, the critical relationality in research framework provides practical guidance and critically reflexive questions for researchers seeking to conduct ethically sound and culturally sustaining research in partnership with Indigenous communities. Its implementation has the potential to foster meaningful relationships, promote Indigenous sovereignty, and generate knowledge that is beneficial for the survivance of Indigenous peoples and importantly, Indigenous youth.
涉及土著社区的研究需要一种细致入微的方法,尊重他们社区独特的文化背景、知识体系和价值观。本文提出了研究框架的关键关系,以促进研究人员和土著社区之间的尊重和合作参与。该框架以非殖民化、本土化、批判理论、拒绝和生存原则为基础,强调访问和设想、维持关系和共同创造知识、分享知识和体现责任的重要性。根据生活经验和最佳做法,研究框架中的关键关系为寻求与土著社区合作进行道德健全和文化可持续研究的研究人员提供了实际指导和批判性反思问题。它的实施有可能促进有意义的关系,促进土著主权,并产生有利于土著人民,尤其是土著青年生存的知识。
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引用次数: 0
Contributing to the reproducibility crisis in Psychology: The role of statistical software choice on factor analysis 促成心理学的可再现性危机:统计软件选择在因素分析中的作用
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, SOCIAL Pub Date : 2025-06-01 Epub Date: 2025-04-22 DOI: 10.1016/j.jsp.2025.101462
Stefan C. Dombrowski
A potentially overlooked contributor to the reproducibility crisis in psychology is the choice of statistical application software used for factor analysis. Although the open science movement promotes transparency by advocating for open access to data and statistical methods, this approach alone is insufficient to address the reproducibility crisis. It is commonly assumed that different statistical software applications produce equivalent results when conducting the same statistical analysis. However, this is not necessarily the case. Statistical programs often yield disparate outcomes, even when using identical data and factor analytic procedures, which can lead to inconsistent interpretation of results. This study examines this phenomenon by conducting exploratory factor analyses on two tests of cognitive ability—the WISC-V and the MEZURE—using four different statistical programs/applications. Factor analysis plays a critical role in determining the underlying theory of cognitive ability instruments, and guides how those instruments should be scored and interpreted. However, psychology is grappling with a reproducibility crisis in this area, as independent researchers and test publishers frequently report divergent factor analytic results. The outcome of this study revealed significant variations in structural outcomes among the statistical software programs/applications. These findings highlight the importance of using multiple statistical programs, ensuring transparency with analysis code, and recognizing the potential for varied outcomes when interpreting results from factor analytic procedures. Addressing these issues is important for advancing scientific integrity and mitigating the reproducibility crisis in psychology particularly in relation to cognitive ability structural validity.
心理学中可重复性危机的一个潜在被忽视的因素是用于因素分析的统计应用软件的选择。尽管开放科学运动通过倡导开放获取数据和统计方法来促进透明度,但仅靠这种方法不足以解决可重复性危机。通常认为,在进行相同的统计分析时,不同的统计软件应用程序会产生相同的结果。然而,事实并非如此。即使使用相同的数据和因素分析程序,统计程序也经常产生不同的结果,这可能导致对结果的不一致解释。本研究采用四种不同的统计程序/应用程序,对WISC-V和mezure两项认知能力测试进行探索性因素分析,探讨了这一现象。因素分析在确定认知能力工具的基本理论方面起着至关重要的作用,并指导如何对这些工具进行评分和解释。然而,心理学正在努力解决这一领域的可重复性危机,因为独立研究人员和测试出版商经常报告不同的因素分析结果。本研究的结果揭示了统计软件程序/应用程序在结构结果上的显著差异。这些发现强调了使用多种统计程序的重要性,确保分析代码的透明度,以及在解释因子分析程序的结果时认识到不同结果的潜力。解决这些问题对于促进科学完整性和减轻心理学中的可重复性危机非常重要,特别是在认知能力结构有效性方面。
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引用次数: 0
Replication using confirmatory latent class analysis: A school climate example 验证性潜类分析的复制:以学校风气为例
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, SOCIAL Pub Date : 2025-06-01 Epub Date: 2025-05-09 DOI: 10.1016/j.jsp.2025.101455
Lisa S. Romero , Meagan O'Malley , Delwin Carter
The simultaneous growth in the availability of large publicly available datasets and the accessibility of powerful computation software to analyze those data have accelerated the use of mixture modeling techniques, including latent class analysis (LCA). Though secondary data analysis using LCA is increasingly common in school psychologyrelated research, there exist limits to the impacts of these analytic techniques. It is common to hear critiques that modeled results may be artifacts of a specific dataset rather than more stable and meaningful participant response patterns with practical implications. LCA-specific replication guidance is necessary to support an expansion of studies of this type. Via a school climate-related case example, we provide guidance for those wishing to shift from exploratory LCA to confirmatory LCA (CLCA). We scrutinized an earlier LCA analysis that identified a 5-class solution for student school climate survey data collected during the 2016-2017 academic year. Using student school climate perception data (n = 24,051) collected during the 2017–2018 academic year, our CLCA results suggest substantial similarity in response patterns. The initial exploratory results and this study's confirmatory results demonstrate five predominant patterns of student school climate experiences, suggesting that the 5-class solution replicates across data collection years and with entirely new respondents. Recognizing that CLCA methods are relatively nascent, we describe decision-making points researchers interested in utilizing CLCA may encounter and provide guidance to help avoid accusations of questionable research practices.
同时,大型公共数据集的可用性和分析这些数据的强大计算软件的可访问性的增长加速了混合建模技术的使用,包括潜在类分析(LCA)。虽然使用LCA的二次数据分析在学校心理相关研究中越来越普遍,但这些分析技术的影响存在局限性。经常听到批评说,建模的结果可能是特定数据集的工件,而不是具有实际含义的更稳定和有意义的参与者响应模式。lca特异性复制指导对于支持这类研究的扩展是必要的。通过一个与学校气候相关的案例,我们为那些希望从探索性LCA转向确认性LCA (CLCA)的人提供指导。我们仔细研究了早期的LCA分析,该分析确定了2016-2017学年收集的学生学校气候调查数据的5类解决方案。使用2017-2018学年收集的学生学校气候感知数据(n = 24,051),我们的CLCA结果表明,响应模式具有很大的相似性。最初的探索性结果和本研究的验证性结果证明了学生学校气候体验的五种主要模式,表明五类解决方案在数据收集年份和全新的受访者中重复。认识到CLCA方法是相对新生的,我们描述了有兴趣利用CLCA的研究人员可能遇到的决策点,并提供指导,以帮助避免对可疑研究实践的指责。
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引用次数: 0
Randomized controlled trial of the early adolescent coping power program: Effects on emotional and behavioral problems in middle schoolers 青少年早期应对能力项目对中学生情绪和行为问题的影响
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, SOCIAL Pub Date : 2025-06-01 Epub Date: 2025-04-01 DOI: 10.1016/j.jsp.2025.101437
Catherine P. Bradshaw , Heather McDaniel , Elise T. Pas , Katrina J. Debnam , Jessika H. Bottiani , Nicole Powell , Nicholas S. Ialongo , Antonio Morgan-Lopez , John E. Lochman
We report findings from a 40 middle school randomized controlled trial of an adapted version of Coping Power (Lochman & Wells, 2002a) for middle schoolers, called the Early Adolescent Coping Power (EACP) Program (Bradshaw et al., 2019) to determine the impact of EACP on adolescents' mental health outcomes, as indicated by student self-reported and teacher-ratings on the Behavior Assessment System for Children (BASC). The EACP was implemented over the course of students' 7th grade school year. The sample included 709 students who were identified at baseline through a teacher screening process for aggressive behavior and enrolled into the project (69.8 % African American and 59.4 % male). For teacher-reported outcomes, intent to treat (ITT) results indicated that EACP was associated with a decrease in externalizing problems over time. Exploration of effect modification suggested that girls in the EACP condition demonstrated statistically significant decreases in school problems over time, as well as a baseline by intervention effect whereby students and schools with greater baseline difficulties demonstrated decreased internalizing problems over time. For student-reported outcomes, there was a significant moderated effect, whereby girls in EACP demonstrated more favorable self-reported personal adjustment outcomes. Together, these results suggest that the early adolescent adaptation of Coping Power had preventive effects for 7th grade participants, and promotive effects specifically for girls, over time.
我们报告了一项来自40所中学的随机对照试验的结果,该试验采用了适应版的应对能力(Lochman &;Wells, 2002a),称为青少年早期应对能力(EACP)计划(Bradshaw等人,2019),以确定EACP对青少年心理健康结果的影响,如学生在儿童行为评估系统(BASC)上的自我报告和教师评分所示。EACP在学生的七年级学年期间实施。样本包括709名学生,他们在基线时通过教师筛选过程确定是否有攻击行为,并参加了该项目(69.8%是非裔美国人,59.4%是男性)。对于教师报告的结果,意向治疗(ITT)结果表明,随着时间的推移,EACP与外化问题减少有关。对效果修改的探索表明,EACP条件下的女孩在学校问题上随着时间的推移显示出统计学上显著的减少,以及基线干预效果,即基线困难较大的学生和学校随着时间的推移显示出内化问题的减少。对于学生报告的结果,存在显著的调节效应,即EACP中的女孩表现出更有利的自我报告的个人适应结果。总之,这些结果表明,随着时间的推移,青少年早期适应应对能力对七年级的参与者有预防作用,特别是对女孩有促进作用。
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引用次数: 0
Flexible distributional models for meta-analysis of reading fluency outcomes from single-case designs: An examination using Bayesian methods 单一案例设计阅读流畅性结果荟萃分析的灵活分布模型:使用贝叶斯方法的检验
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, SOCIAL Pub Date : 2025-06-01 Epub Date: 2025-03-28 DOI: 10.1016/j.jsp.2025.101429
Paulina Grekov, James E. Pustejovsky, David A. Klingbeil
There is growing interest in statistical modeling of data from single-case design (SCD) research. However, currently available methods such as hierarchical linear models and generalized linear mixed models have assumptions that may limit their utility for applied SCDs, such as those that use curriculum-based measures of academic performance as outcomes. In the present paper, we demonstrate use of a flexible class of distributional models, known as generalized additive models for location, scale, and shape (GAMLSS), to evaluate different distributional families and modeling specifications for reading curriculum-based measures of reading fluency data drawn from SCD studies of academic interventions. Using Bayesian methods and graphical posterior predictive checks, we evaluated GAMLSS based on normal (Gaussian), Poisson, and negative binomial distributional families. We also evaluated the extent to which the dispersion, or variability of outcomes, itself varied across studies and across participants within studies. We found that negative binomial models with heterogeneous dispersions fit better than other distributional families and closely reproduced features of the observed data. Findings highlight the need to consider a broader set of distributional families when developing meta-analytic models of SCD data as well as the need to consider how the degree of dispersion may vary from study to study. We discuss implications for future methodological research and for meta-analysis of SCDs.
对单例设计(SCD)研究数据的统计建模越来越感兴趣。然而,目前可用的方法,如层次线性模型和广义线性混合模型,都有一些假设,可能会限制它们在应用scd中的效用,比如那些使用基于课程的学习成绩衡量作为结果的方法。在本文中,我们展示了使用一种灵活的分布模型,称为广义的位置、规模和形状加性模型(GAMLSS),来评估基于阅读课程的阅读流畅性数据测量的不同分布家族和建模规范,这些数据来自学术干预的SCD研究。使用贝叶斯方法和图形后验预测检查,我们评估了基于正态(高斯)、泊松和负二项分布家族的GAMLSS。我们还评估了结果的离散度或可变性在不同研究之间以及研究中不同参与者之间的变化程度。我们发现具有非均匀分散的负二项模型比其他分布家族更适合,并且更接近地再现了观测数据的特征。研究结果强调,在开发SCD数据的元分析模型时,需要考虑更广泛的分布家族,以及需要考虑不同研究之间的分散程度如何变化。我们讨论了scd对未来方法学研究和荟萃分析的影响。
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引用次数: 0
Beyond self-care: Developing a climate survey for school psychology programs 超越自我照顾:为学校心理学课程开展一项气候调查
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, SOCIAL Pub Date : 2025-06-01 Epub Date: 2025-05-08 DOI: 10.1016/j.jsp.2025.101457
Marie L. Tanaka , Tara Kulkarni , Miranda R. Zahn , Alexandria C. Robers , Heather Thompson , Kaitlyn M. Young
Graduate program climates are an essential part of training, professional development, and identity for future school psychologists. One of the challenges of understanding program climate is how to measure such a construct so that programs can facilitate welcoming and transformational spaces for learning and critical thinking. This study aimed to develop and initially validate a measure of graduate students' perceptions and experiences of school psychology program climates, the Climate Assessment for Relationships and Equity in School Psychology. Results of an exploratory factor analysis from a sample of 212 school psychology graduate students revealed a four-factor structure: (a) program dynamics and psychological safety, (b) diversity, equity, and inclusion, (c) peer support, and (d) resources. Of these factors, graduate students rated peer support most favorably and diversity, equity, and inclusion as most lacking, indicating a continuing need for programs to provide opportunities and training to engage in program and individual accountability as they relate to social justice issues. Implications for graduate student and faculty advocacy to improve climate in school psychology graduate programs are provided.
研究生课程氛围是培训、专业发展和未来学校心理学家身份的重要组成部分。理解项目氛围的挑战之一是如何衡量这样一个结构,以便项目能够促进学习和批判性思维的欢迎和转型空间。本研究旨在开发并初步验证研究生对学校心理学项目气候的感知和体验,即学校心理学中关系和公平的气候评估。通过对212名学校心理学研究生的探索性因子分析,我们发现了一个四因素结构:(a)项目动态和心理安全,(b)多样性、公平和包容,(c)同伴支持,(d)资源。在这些因素中,研究生对同伴支持的评价最高,对多样性、公平性和包容性的评价最低,这表明,在涉及社会正义问题时,继续需要项目提供机会和培训,以参与项目和个人责任。提供了研究生和教师倡导改善学校心理学研究生课程氛围的含义。
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Journal of School Psychology
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