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441.
追踪研究中缺失数据十分常见。本文通过Monte Carlo模拟研究,考察基于不同前提假设的Diggle-Kenward选择模型和ML方法对增长参数估计精度的差异,并考虑样本量、缺失比例、目标变量分布形态以及不同缺失机制的影响。结果表明:(1)缺失机制对基于MAR的ML方法有较大的影响,在MNAR缺失机制下,基于MAR的ML方法对LGM模型中截距均值和斜率均值的估计不具有稳健性。(2)DiggleKenward选择模型更容易受到目标变量分布偏态程度的影响,样本量与偏态程度存在交互作用,样本量较大时,偏态程度的影响会减弱。而ML方法仅在MNAR机制下轻微受到偏态程度的影响。 相似文献
442.
Individuals exhibit hindsight bias when they are unable to recall their original responses to novel questions after correct answers are provided to them. Prior studies have eliminated hindsight bias by modifying the conditions under which original judgments or correct answers are encoded. Here, we explored whether hindsight bias can be eliminated by manipulating the conditions that hold at retrieval. Our retrieval-based approach predicts that if the conditions at retrieval enable sufficient discrimination of memory representations of original judgments from memory representations of correct answers, then hindsight bias will be reduced or eliminated. Experiment 1 used the standard memory design to replicate the hindsight bias effect in middle-school students. Experiments 2 and 3 modified the retrieval phase of this design, instructing participants beforehand that they would be recalling both their original judgments and the correct answers. As predicted, this enabled participants to form compound retrieval cues that discriminated original judgment traces from correct answer traces, and eliminated hindsight bias. Experiment 4 found that when participants were not instructed beforehand that they would be making both recalls, they did not form discriminating retrieval cues, and hindsight bias returned. These experiments delineate the retrieval conditions that produce—and fail to produce—hindsight bias. 相似文献
443.
Whether it be those who are “high” on right-wing authoritarianism (RWA) and social dominance orientation (SDO), or a mixture of “low” on explicit, but “high” on implicit, bias, many social psychological theories predict the existence of distinct “types” of people. These assumptions are, however, untestable using variable-centred analyses. Accordingly, we argue that the time has come to utilise person-centred analyses that enable us to test these key assumptions. We open by demonstrating how to implement – and interpret – latent profile analysis (a type of person-centred analysis), using RWA and SDO as an example. We then discuss the debate over the dimensionality of political ideology to highlight the need for person-centred analyses. Next, we review person-centred approaches to political ideology and highlight recent work using person-centred analyses to assess key assumptions of ambivalent sexism and relative deprivation. We conclude by discussing limitations to person-centred approaches and by providing suggestions for future research. 相似文献
444.
Ángela R. Acero Adrián Cano‐Prous Gabriel Castellanos Raquel Martín‐Lanas Ana Canga‐Armayor 《European journal of social psychology》2017,47(5):611-627
There is a growing amount of research showing that a shared social identity and the sense of belonging to a family have a potential effect on health. However, little is known about the effects of severe mental illness on family identity. The authors carried out this thematic synthesis based on a systematic review of literature on family narratives of severe mental illness and family identity. The main findings indicate that in many families (i) their identity—as a shared social identity—undergoes a transformation process by which the identity aspects of being a family are reinforced; (ii) family members often take on a caring role as their main family role; and finally, (iii) a cultural component shapes this transformation process. The authors describe implications for research and application in the mental health field. All in all, family identity is transformed by the experience of severe mental illness. 相似文献
445.
Laurie Knis Matthews Claire M. Mulry Lynne Richard 《Occupational Therapy in Mental Health》2017,33(4):360-373
Clinical reasoning is a complex process required for effective therapeutic encounters. Its development is poorly understood. The clinical reasoning process is placed in a historical context based on the occupational therapy literature. An emerging model of clinical reasoning is proposed. This model of clinical reasoning provides a unique perspective in order to compartmentalize the person, environment, and occupation constructs around the person’s life story, connect it directly to the occupational therapy practice framework, and determine treatment priorities, emphasizing a client-centered perspective. A client-centered model of clinical reasoning supports efforts to provide effective intervention. 相似文献
446.
447.
Marine Rougier Dominique Muller Rémi Courset Annique Smeding Thierry Devos Cédric Batailler 《European journal of social psychology》2020,50(4):857-875
Approach/avoidance paradigms could constitute an interesting alternative in measuring intergroup attitudes, notably if they overcome one criticism often addressed toward classic indirect tasks: Measuring attitudes beyond the influence of cultural knowledge. Using intergroup stimuli and a population likely to be exposed to a similar cultural knowledge, we observed two informative results regarding this issue: Approach/avoidance effects measured by the Visual Approach/Avoidance by the Self Task (VAAST) varied across participants (i.e., consistent with the variability of intergroup attitudes; Experiment 1) and both participants of dominant and non-dominant groups produced an ingroup bias (Experiment 2). A last experiment (Experiment 3) showed that compatibility scores in the VAAST predict trustworthiness ratings of the ingroup/outgroup. This experiment also investigated potential differences between the VAAST and the IAT. These results suggest that approach/avoidance tasks (notably the VAAST) could be relevant to assess personal attitudes when it comes to normatively sensitive topics. 相似文献
448.
The study of early parental competences is relevant because such competences are related to children’s development; however, most studies have considered competences using a variable-centered approach in which each parental competence is examined in isolation. This paper approaches these competences using a person-centered approach, generating profiles that combine different competences in Chilean mothers assessed when their children were aged 12 months and again at 30 months. The aim of this study was to generate and compare these profiles and to analyze the associations of these profiles with children’s language and socioemotional skills. Mother-child interactions in the contexts of storytelling and free play were videotaped at two different times. Ninety mother-child dyads were assessed using the Adult Sensitivity Scale (E.S.A.), the Evaluation of the Mentalization of Significant Caregivers, the Checklist of Observations Linked to Outcomes (PICCOLO), Bayley’s language scale and the Functional Emotional Assessment Scale (FEAS). Profiles of mothers’ behaviors were identified through person-centered within-group analyses of six aspects: sensitivity, mentalization, affection, responsiveness, encouragement, and teaching. Cluster analyses yielded three similar profiles for mothers at both ages: highly competent, average competent, and poorly competent. The mothers’ profiles were related to maternal age, socioeconomic status (SES) and educational level, and the mothers improved their profiles at the 30-month assessment. The mothers’ profiles were related to children’s language and socioemotional outcomes at both ages. These results and their applicability to promotion and intervention programs are discussed. 相似文献
449.
Ji Yeh Choi Heungsun Hwang 《The British journal of mathematical and statistical psychology》2020,73(2):347-373
Generalized structured component analysis (GSCA) is a component-based approach to structural equation modelling, which adopts components of observed variables as proxies for latent variables and examines directional relationships among latent and observed variables. GSCA has been extended to deal with a wider range of data types, including discrete, multilevel or intensive longitudinal data, as well as to accommodate a greater variety of complex analyses such as latent moderation analysis, the capturing of cluster-level heterogeneity, and regularized analysis. To date, however, there has been no attempt to generalize the scope of GSCA into the Bayesian framework. In this paper, a novel extension of GSCA, called BGSCA, is proposed that estimates parameters within the Bayesian framework. BGSCA can be more attractive than the original GSCA for various reasons. For example, it can infer the probability distributions of random parameters, account for error variances in the measurement model, provide additional fit measures for model assessment and comparison from the Bayesian perspectives, and incorporate external information on parameters, which may be obtainable from past research, expert opinions, subjective beliefs or knowledge on the parameters. We utilize a Markov chain Monte Carlo method, the Gibbs sampler, to update the posterior distributions for the parameters of BGSCA. We conduct a simulation study to evaluate the performance of BGSCA. We also apply BGSCA to real data to demonstrate its empirical usefulness. 相似文献
450.