Differentiating crisis incidents: A replication study using the action systems model

Crisis incidents are volatile situations that can pose significant risk to those involved and to law enforcement. The idiosyncratic conditions that lead to such incidents, as well as their volatility, often militate against consistent explanatory models. However, the application of overarching paradigms, such as the action systems model, has shown some promise in imposing order in the domain. Recent research has successfully differentiated crisis incidents into the four distinct modes of the action systems model: conservative, adaptive, integrative, and expressive. The purpose of this paper is to attempt to replicate this recent study using 242 cases from the United States, Ireland, Canada, and Sweden. Data analysis involves smallest space analyses and constrained multidimensional scaling. Although the results supported the underlying structure of original proposed behavioural model, there are a few deviances. These differences along with the potential influence of cultural variations, offence variable selection, the type of incident, and the sample under scrutiny are discussed. It is evident that there remain several challenges, and further research is required, prior to developing a unified framework.     

一种非参数化的Q矩阵估计方法：ICC-IR方法开发

摘要：相对于参数化的方法,本研究根据题目测量模式关系开发出ICC指标,并提出基于理想得分的ICC指标法进行Q矩阵估计。Monte Carlo模拟研究与实证研究发现（1）基于理想得分ICC指标法估计Q矩阵具有很好的效果,当属性个数越少、基础题个数越多,估计效果越好。（2）相对于以往方法——D2统计量的方法,ICC-IR法效果更好,并且是一种非参数化的方法,计算简单快捷。（3）实证数据分析表明,ICC-IR法估计的Q矩阵在模型拟合度上也优于D2统计量方法。     

Emotional reactivity to daily events in youth with anxiety disorders

Background: Although research supports associations between anxiety and emotional reactivity in adults (Cisler, J. M., Olatunji, B. O., Feldner, M. T., &; Forsyth, J. P. (2010). Emotion regulation and the anxiety disorders: an integrative review. Journal of Psychopathology and Behavioral Assessment, 32(1), 68–82.), few studies have examined emotional reactivity in anxious youth (e.g., Carthy et al., 2010; Tan, P. Z., Forbes, E. E., Dahl, R. E., Ryan, N. D., Siegle, G. J., Ladouceur, C. D., &; Silk, J. S. (2012). Emotional reactivity and regulation in anxious and nonanxious youth: a cell-phone ecological momentary assessment study. Journal of Child Psychology and Psychiatry, 53(2), 197–206.). Methods: Using daily diary methodology, this study examined both negative affect (NA) and positive affect (PA) reactivity to daily events in youth diagnosed with anxiety (N?=?68; 60% female; 78% non-Hispanic White; M age?=?11.18 years, SD?=?3.17). We also examined whether parent-reported emotion regulation would predict emotional reactivity. Results: Participants reported more NA on days they experienced more negative parent and teacher events and less PA on days that they experienced more negative peer events. Additionally, better emotion regulation was associated with less NA reactivity to negative teacher events and to both negative and positive academic events. Conclusions: Interpersonal events have a salient effect on daily affect for anxious youth. Youth anxiety therapists should target emotion regulation associated with negative events involving adults and address barriers to developing and maintaining positive peer relationships.     

Couple adjustment to a stressful life event: a dyadic investigation of the roles of positive reframing and perceived benefits

Background and Objectives: This study examines positive reframing (a form of meaning making), perceived benefits (a form of meanings made) and adjustment in couples who experienced a stressful life event in the past year. This study tested whether couple members’ scores were nonindependent and whether one’s own perceived benefits was predicted by their own positive reframing (actor effect) as well as their partner’s positive reframing (partner effect). Further, this study tested actor and partner effects for the link between perceived benefits and adjustment and whether positive reframing (the initial variable) works through perceived benefits (the mediator) to affect adjustment (the outcome) at the dyadic level.

Design: A standard dyadic design was used.

Methods: Eighty couples completed measures of positive reframing, perceived benefits, and adjustment (depression, anxiety, positive affect, life satisfaction, and relationship satisfaction).

Results: Partners’ scores on study variables were related, and although only actor effects were found for the path between positive reframing and perceived benefits, both actor and partner effects were found for the path between perceived benefits and adjustment. Mediation was found for actor–actor and actor-partner indirect effects.

Conclusions: Results indicate that a greater focus on interpersonal factors is needed to further meaning-making theory and inform practice.     

Cognitive diagnosis modelling incorporating item response times

To provide more refined diagnostic feedback with collateral information in item response times (RTs), this study proposed joint modelling of attributes and response speed using item responses and RTs simultaneously for cognitive diagnosis. For illustration, an extended deterministic input, noisy ‘and’ gate (DINA) model was proposed for joint modelling of responses and RTs. Model parameter estimation was explored using the Bayesian Markov chain Monte Carlo (MCMC) method. The PISA 2012 computer-based mathematics data were analysed first. These real data estimates were treated as true values in a subsequent simulation study. A follow-up simulation study with ideal testing conditions was conducted as well to further evaluate model parameter recovery. The results indicated that model parameters could be well recovered using the MCMC approach. Further, incorporating RTs into the DINA model would improve attribute and profile correct classification rates and result in more accurate and precise estimation of the model parameters.     

Two-Stage maximum likelihood estimation in the misspecified restricted latent class model

The maximum likelihood classification rule is a standard method to classify examinee attribute profiles in cognitive diagnosis models (CDMs). Its asymptotic behaviour is well understood when the model is assumed to be correct, but has not been explored in the case of misspecified latent class models. This paper investigates the asymptotic behaviour of a two-stage maximum likelihood classifier under a misspecified CDM. The analysis is conducted in a general restricted latent class model framework addressing all types of CDMs. Sufficient conditions are proposed under which a consistent classification can be obtained by using a misspecified model. Discussions are also provided on the inconsistency of classification under certain model misspecification scenarios. Simulation studies and a real data application are conducted to illustrate these results. Our findings can provide some guidelines as to when a misspecified simple model or a general model can be used to provide a good classification result.     

Gender role attitudes,relationship efficacy,and self-disclosure in intimate relationships

Drawing from the intimacy process model and data from 5,042 individuals who remained partnered across Waves 1 and 2 of the German Panel Analysis of Intimate Relationships and Family Dynamics (pairfam), this study examined the contributions of traditional gender role attitudes and relationship efficacy in predicting levels of self-disclosure within an intimate relationship. Independent samples t-tests demonstrated females scored higher than males on self-disclosure and relationship efficacy measures but lower on traditional gender role attitudes. An ordinary least squares regression analysis revealed relationship efficacy was a stronger predictor of self-disclosure compared to traditional gender role attitudes, which were not associated with self-disclosure. The findings suggest attitudes with an interpersonal motivational system may be especially important for setting the intimacy process into motion within an intimate union.     

Toward a contemporary quantitative model of punishment

A direct‐suppression, or subtractive, model of punishment has been supported as the qualitatively and quantitatively superior matching law‐based punishment model (Critchfield, Paletz, MacAleese, & Newland, 2003; de Villiers, 1980; Farley, 1980). However, this conclusion was made without testing the model against its predecessors, including the original (Herrnstein, 1961) and generalized (Baum, 1974) matching laws, which have different numbers of parameters. To rectify this issue, we reanalyzed a set of data collected by Critchfield et al. (2003) using information theoretic model selection criteria. We found that the most advanced version of the direct‐suppression model (Critchfield et al., 2003) does not convincingly outperform the generalized matching law, an account that does not include punishment rates in its prediction of behavior allocation. We hypothesize that this failure to outperform the generalized matching law is due to significant theoretical shortcomings in model development. To address these shortcomings, we present a list of requirements that all punishment models should satisfy. The requirements include formal statements of flexibility, efficiency, and adherence to theory. We compare all past punishment models to the items on this list through algebraic arguments and model selection criteria. None of the models presented in the literature thus far meets all of the requirements.