应对方式的生态瞬时评估法及其他测量方法简介

生态瞬时评估法（EMA）是当前对应对方式进行测量的一种较为先进的方法。它也广泛适用于其它社会科学和行为科学领域,因此在西方发达国家得到了较为广泛的应用。文章重点介绍了EMA的特点、使用方法、使用情况、适用条件和优缺点等。由于EMA特别适合于研究过程性的问题,因此用它来研究应对是非常恰当的。另外,文章还简单介绍并评价了其它的应对方式测量方法,并指出将来对应对方式进行测量的趋势。     

D-N认知评估系统的结构验证:一项基于初中生样本的分析

J.P.DAS等基于认知过程的智力PASS模型,设计了包括计划、注意、同时性加工、继时性加工4个分量表的D-N认知评估系统。本研究采用中文版本的认知评估系统作为测试工具,对120名初中学生实测,采集相应数据,进而使用验证性因素分析对中文版的评估系统的结构效度作出评估。结果发现,该版本评估系统具有较好的结构效度,较好地与PASS理论模型相吻合。     

应对研究中的生态学思想述评

应对是心理学界研究的热点,对应对相关研究中的生态学思想进行挖掘、梳理、总结并进一步推广是非常有意义的,能够使应对的研究更加深入,更具真实性。对国内外应激—应对模型、应对与发展、应对与生态学、应对与环境方面的研究探讨进行总结,挖掘其中的生态学思想,为日后应对的理论和实证研究奠定基础,并基于此提出了应对的生态瞬时评估（EMA）研究的设想。     

基于行为事件的履历资料评估

行为事件的履历资料评估能有效克服传统履历数据构思效度弱、情景限制多等问题。本研究结合某通信企业招聘工作,选取250名应聘者数据,结合关键事件法,通过对履历事件的行为锚定来评估应聘者的胜任特征。研究在多重比较行为履历资料、履历表数据、认知能力等多个指标组合对录用结果预测的回归模型基础上,检验新增指标的预测效度。结果表明,行为事件的履历资料评估具有效标关联效度,与其他工具组合使用时具有增量效度。     

基于安戈夫法的青少年问题性移动社交网络使用评估标准

摘 要 使用安戈夫法界定青少年问题性移动社交网络使用评估标准。结果发现,筛查评估问卷中8个及以上题目持肯定回答即可评估为问题性移动社交网络使用,实证区分效度中正常使用者检出率为12%,问题性使用者检出率为91.1%。基于安戈夫法的青少年问题性移动社交网络使用评估工具有较好的心理学测量属性,可用于青少年问题性移动社交网络使用的筛查评估。     

网络成瘾病理心理机制及综合心理干预研究

针对中国青少年网络成瘾问题,综合运用心理测评、深度访谈、脑事件相关电位、心率变异性等多层面的心理学研究方法,系统、深入研究网络问题的成因、病理心理机制、评估方法及心理干预方法等多项课题。依据得到的人群调查数据、网络成瘾者的心理测量结果、脑电与心电的生理心理学数据,同时结合临床干预疗效评估,提出研究结论：（1）使用谱系概念对中国青少年网络使用问题进行分型,并制定分型标准与评估方法;（2）从青少年心理发展角度分析了网络成瘾的形成原因,提出“失补偿”假说揭示网络成瘾形成过程;（3）提出“注意功能易化机制”从脑功能水平揭示网络“成瘾”病理心理机制;（4）制定“系统补偿综合心理干预”方案,包括团体、家庭、个体及家长干预等多项心理治疗方案,在临床研究中取得了良好实效     

控制单水平研究中的多水平误差：基于设计的方法

由于取样设计的原因,多水平数据结构不仅存在于多水平研究,也广泛存在于单水平研究,需要在单水平分析中控制多水平误差。此时使用多层线性模型发挥不了优势,反而因模型的复杂性带来麻烦。基于设计的方法相对更简单、高效和稳健,更契合含多水平误差的单水平研究情境。在详细介绍基于设计的方法及其优势后,利用数据实例展示基于设计的方法在单水平研究中控制多水平误差的效果,并为应用研究者提供方法选用建议。     

健康数据二次使用研究的伦理审查探讨

随着健康数据二次使用相关研究的迅速发展,尊重、知情同意、隐私保护、公正等伦理问题日益突显。在综合考虑当前国内伦理审查最新法规及国际经验的基础上,基于研究可能的风险以及数据的可识别性等特征,探讨涉及健康数据二次使用的研究可根据数据是否可以公开获取以及研究的风险大小等,可能采用三种伦理审查形式;同时,细化明确知情同意豁免需要满足的条件,强调研究者和受试者应当发挥更加积极主动的作用,共同促进此类研究负责任的开展。     

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。     

追踪研究方法在国内心理研究中的应用述评

以1982~2012年中国期刊网收录的88例追踪研究为对象,从应用现状、设计特征、数据处理三方面分析和评估追踪研究方法在国内心理研究的应用情况及存在的问题。结果显示,2005年之前追踪研究方法应用增长缓慢,2005年开始呈显著增长趋势,研究对象以未成年及成年早期群体为主。主要采用固定样本追踪设计,大部分研究测量2-3次、样本量在10~300之间、持续时间在3年内。61例有缺失的研究中,38例用删除法处理缺失;主要运用 HLM、方差分析、t检验和SEM分析追踪数据。相当部分研究存在测量次数少、样本量较小、持续时间短、被试缺失严重及数据处理方法相对陈旧问题。追踪研究方法的应用应注意,根据理论模型和研究有效性要求确定设计类型和设计特征,根据数据特征选择缺失处理方法和追踪数据分析方法。     

Ecological Momentary Assessment Research in Behavioral medicine

Behavioral medicine research often seeks to examine relatively complex theoretical models and clinical processes. Traditional designs, based on retrospective self-report in the natural environment or laboratory-based studies, cannot assess complex and temporally dynamic psychological, behavioral, and physiological processes in the natural environment. An alternate research approach, Ecological Momentary Assessment (EMA), provides a method to collect such data. This research approach and these data allow investigation of a number of research questions not amenable to other data collection methods. Examples of research questions uniquely suited for EMA data include, but are not limited to: (1) the comparison of retrospective data to momentary data; (2) evaluation of physiological and psychosocial processes in the natural environment; (3) the relation of symptoms and other disease processes to characteristics of the natural environment; and (4) examination of dynamic changes in psychosocial variables that may mediate improvement following treatment. Despite the strengths of EMA data, a number of challenges exist – including logistic, analytic, and interpretation problems – to the easy implementation of EMA approaches in behavioral medicine.     

Conceptualizing and Estimating Process Speed in Studies Employing Ecological Momentary Assessment Designs: A Multilevel Variance Decomposition Approach

Researchers have been making use of ecological momentary assessment (EMA) and other study designs that sample feelings and behaviors in real time and in naturalistic settings to study temporal dynamics and contextual factors of a wide variety of psychological, physiological, and behavioral processes. As EMA designs become more widespread, questions are arising about the frequency of data sampling, with direct implications for participants' burden and researchers' ability to capture and study dynamic processes. Traditionally, spectral analytic techniques are used for time series data to identify process speed. However, the nature of EMA data, often collected with fewer than 100 measurements per person, sampled at randomly spaced intervals, and replete with planned and unplanned missingness, precludes application of traditional spectral analytic techniques. Building on principles of variance partitioning used in the generalizability theory of measurement and spectral analysis, we illustrate the utility of multilevel variance decompositions for isolating process speed in EMA-type data. Simulation and empirical data from a smoking-cessation study are used to demonstrate the method and to evaluate the process speed of smoking urges and quitting self-efficacy. Results of the multilevel variance decomposition approach can inform process-oriented theory and future EMA study designs.     

Conceptualizing and Estimating Process Speed in Studies Employing Ecological Momentary Assessment Designs: A Multilevel Variance Decomposition Approach

Researchers have been making use of ecological momentary assessment (EMA) and other study designs that sample feelings and behaviors in real time and in naturalistic settings to study temporal dynamics and contextual factors of a wide variety of psychological, physiological, and behavioral processes. As EMA designs become more widespread, questions are arising about the frequency of data sampling, with direct implications for participants' burden and researchers' ability to capture and study dynamic processes. Traditionally, spectral analytic techniques are used for time series data to identify process speed. However, the nature of EMA data, often collected with fewer than 100 measurements per person, sampled at randomly spaced intervals, and replete with planned and unplanned missingness, precludes application of traditional spectral analytic techniques. Building on principles of variance partitioning used in the generalizability theory of measurement and spectral analysis, we illustrate the utility of multilevel variance decompositions for isolating process speed in EMA-type data. Simulation and empirical data from a smoking-cessation study are used to demonstrate the method and to evaluate the process speed of smoking urges and quitting self-efficacy. Results of the multilevel variance decomposition approach can inform process-oriented theory and future EMA study designs.     

Neuroticism, negative affect, and negative affect instability: Establishing convergent and discriminant validity using ecological momentary assessment

Few investigations have examined the role of affective instability within a broad model of general personality functioning. The present study employed self-report and ecological momentary assessments (EMA) to examine the relations between self-reported Five-Factor Model Neuroticism, EMA average negative affect, and EMA negative affect instability. Results suggest that Neuroticism and negative affect instability are related yet distinct constructs, and that Neuroticism better represents average negative affect across time. Results also suggest that negative affect instability is related to low Agreeableness and specific externalizing facets of Neuroticism, such as Angry Hostility and Impulsiveness. The implications of these findings and potential areas for future research are discussed.     

Neuroticism,negative affect,and negative affect instability: Establishing convergent and discriminant validity using ecological momentary assessment

Few investigations have examined the role of affective instability within a broad model of general personality functioning. The present study employed self-report and ecological momentary assessments (EMA) to examine the relations between self-reported Five-Factor Model Neuroticism, EMA average negative affect, and EMA negative affect instability. Results suggest that Neuroticism and negative affect instability are related yet distinct constructs, and that Neuroticism better represents average negative affect across time. Results also suggest that negative affect instability is related to low Agreeableness and specific externalizing facets of Neuroticism, such as Angry Hostility and Impulsiveness. The implications of these findings and potential areas for future research are discussed.     

The Emotion Mapping Activity: Preliminary evaluation of a mindfulness‐informed exercise to improve emotion labeling in alexithymic persons

Alexithymia is a psychoemotional trait associated with many treatment‐resistant psychological and social difficulties. Research suggests that these difficulties stem primarily from an inability to appropriately apply linguistic labels to emotional experiences and content. The present research introduces and preliminarily evaluates a novel mindfulness‐informed exercise to improve emotion‐labeling ability in alexithymic persons. Based in culturally universal patterns of somatic experience, the Emotion Mapping Activity (EMA ) directs alexithymic persons to reflect on their internal, somatic experiences as a source of information for interpreting and labeling emotional experiences. In the present study, 67 alexithymic persons completed a series of emotion‐labeling tasks either with or without assistance of the EMA . Results suggest that completion of the EMA may improve ability to label emotions that would be otherwise misinterpreted – without interfering with labeling that is already intact. Though further research is necessary, the present study suggests that the EMA may hold the potential to be incorporated into psychotherapy protocols as an exercise for improving emotion‐labeling ability in alexithymic clients.     

Accounting for context: Future directions in bioethics theory and research

Many physicians have found that the traditional approach to bioethics fails to account for important aspects of their moral experience in practice. New approaches to bioethics theory are challenging the traditional application of universal moral principles based in liberal moral theory. At the same time, a shift in both the goals and methods of bioethics education has accompanied its “coming of age” in the medical school curriculum. Taken together, these changes challenge both bioethics educators and theorists to come closer to the details and nuances of real clinical encounters. The emerging trend emphasizes the importance of context in bioethics education and in the moral theory and research under-girding it. This article introduces one research approach examining the practical life contexts of medical students' ethical experiences and learning. It calls for increased attention to research and theory in bioethics that more adequately accounts for the ways different contexts produce significant changes in meaning and understanding in medical encounters.     

Within-person association of volitional factors and physical activity: Insights from an ecological momentary assessment study

ObjectiveCurrent health behavior models of physical activity (PA) suggest that not all PA intentions are translated into actual PA behavior, resulting in a significant intention-behavior gap (IBG) of almost 50%. These models further suggest that higher self-efficacy and specific planning can aid in decreasing this gap. However, as most evidence stems from between-person (trait level), questionnaire-based research, it is unclear how large short-term IBGs are, how self-efficacy and planning covary within-persons across time and whether they similarly predict smaller IBGs. It is likely that day-to-day changes in circumstances and barriers affect these variables thus the applicability of theoretical models is uncertain. Here, within-person prospective analyses of ecological momentary assessment (EMA) data can provide insights.Methods35 healthy participants (aged 23–67) completed four EMA-based questionnaires every day for three weeks. Each prompt assessed PA (retrospectively, “since the last EMA prompt”); PA intentions, planning specificity, self-efficacy, and intrinsic motivation (prospectively, “until the next EMA prompt”) and momentary affect. Generalized logistic mixed-effect modeling was used to test predictors of PA.ResultsAcross the 2341 answered EMA prompts, PA intentions were not enacted in 25% of the episodes (IBG). In episodes with given intentions, PA likelihood increased with higher levels of self-efficacy, planning specificity, and intrinsic motivation. The latter two also positively predicted PA duration and intensity.ConclusionsShort-term intention behavior gaps seem to be smaller than what is known from more long-term studies, most likely as individuals can anticipate the actual circumstances of PA. Further, current health behavior models show validity in explaining within-person dynamics in IBGs across time. Knowing the relevance of planning specificity, self-efficacy and intrinsic motivation for day-to-day variations in PA enactment can inform respective real-time mHealth interventions for facilitating PA.     

Eating behavior in obese BED, obese non-BED, and non-obese control participants: A naturalistic study

Laboratory studies have shown considerable differences between the eating behavior, particularly binge eating behavior, of participants with and without binge eating disorder (BED). However, these findings were not replicated in two field experiments employing ecological momentary assessment (EMA) in which obese BED and obese non-BED participants reported comparable binge eating behavior. In the current study, we examined differences in binge eating with an innovative assessment scheme employing both EMA and a standardized computer-based dietary recall program to avoid some of the limitations of past laboratory and field research. Obese BED, obese non-BED, and non-obese control participants reported significant differences in eating patterns, loss of control, overeating, and binge eating behavior. Of particular importance was the finding that BED participants engaged in more overeating and more binge eating episodes than non-BED participants. These findings suggest that the use of EMA in combination with dietary recall may be a relatively objective and useful approach to assessing binge eating behavior. The findings further suggest that individuals with BED are observably different from those without the disorder, which may have implications for eating disorder diagnoses in DSM-V.