TREATMENT INTEGRITY IN APPLIED BEHAVIOR ANALYSIS WITH CHILDREN

Functional analysis of behavior depends upon accurate measurement of both independent and dependent variables. Quantifiable and controllable operations that demonstrate these functional relationships are necessary for a science of human behavior. Failure to implement independent variables with integrity threatens the internal and external validity of experiments. A review of all applied behavior analysis studies with children as subjects that have been published in the Journal of Applied Behavior Analysis between 1980 and 1990 found that approximately 16% of these studies measured the accuracy of independent variable implementation. Two thirds of these studies did not operationally define the components of the independent variable. Specific recommendations for improving the accuracy of independent variable implementation and for defining independent variables are discussed.     

VIDEO-BASED TRAINING OF RESPITE CARE PROVIDERS: AN INTERACTIONAL ANALYSIS OF PRESENTATION FORMAT

We conducted two studies to evaluate a video-based instructional package for training respite care providers and the role of presentation format (viewing the videotapes alone, with a partner, and with structured group training) as a contextual variable. In Study 1, the results of a within-subjects Latin square design nested within a multiple baseline showed that performance during simulated (role-played) respite care situations improved in five of the six skill areas for the 12 trainees following presentation of the videotape, with no differences between presentation formats. Correct responding generalized to respite care situations involving a developmentally disabled child, and in most cases, acquired skills were maintained for up to 6 months. In Study 2, we conducted a clinical replication of Study 1 under conditions more closely approximating those in which the training program would be implemented by respite care agencies. Results of the between-groups analysis were consistent with the findings of Study 1.     

Testing the conditional independence and monotonicity assumptions of item response theory

When item characteristic curves are nondecreasing functions of a latent variable, the conditional or local independence of item responses given the latent variable implies nonnegative conditional covariances between all monotone increasing functions of a set of item responses given any function of the remaining item responses. This general result provides a basis for testing the conditional independence assumption without first specifying a parametric form for the nondecreasing item characteristic curves. The proposed tests are simple, have known asymptotic null distributions, and possess certain optimal properties. In an example, the conditional independence hypothesis is rejected for all possible forms of monotone item characteristic curves.The author acknowledges Paul W. Holland for valuable conversations on the subject of this paper; Henry Braun and Fred Lord for comments at a presentation on this subject which led to improvements in the paper; Carl H. Haag for permission to use the data in §4; Bruce Kaplan for assistance with computing; and two referees for helpful suggestions. Requests for reprints should be sent to Paul R. Rosenbaum     

FUNCTIONAL ANALYSIS AND TREATMENT OF EYE POKING

In four studies we analyzed the eye poking of a youth with profound disabilities. In Study 1, a functional analysis showed that eye poking occurred during the no-attention condition, but not during demand, attention, or recreation conditions. The analysis did not identify socially mediated variables involved in the maintenance of eye poking; rather, eye poking may have been maintained by consequences produced directly by the response. In Study 2 we had the student wear goggles to prevent potential reinforcement from finger—eye contact. The results of Study 2 indicated that eye-poking attempts were reduced when the student wore goggles. We then tested in Study 3 the effects of two alternative topographies of stimulation. Study 3 demonstrated that eye poking was reduced when a video game was provided as a competing source of visual stimulation, and that music was less effective in reducing eye poking. In Study 4, a contingency analysis using the video game was conducted in an attempt to (a) reduce the frequency of eye poking and (b) study whether the video game functioned as a reinforcer. The results of Study 4 demonstrated substantive reductions in the frequency of eye poking, and suggested that the video game served as a reinforcer.     

Bayesian Diagnostics of Hidden Markov Structural Equation Models with Missing Data

Cocaine is a type of drug that functions to increase the availability of the neurotransmitter dopamine in the brain. However, cocaine dependence or abuse is highly related to an increased risk of psychiatric disorders and deficits in cognitive performance, attention, and decision-making abilities. Given the chronic and persistent features of drug addiction, the progression of abstaining from cocaine often evolves across several states, such as addiction to, moderate dependence on, and swearing off cocaine. Hidden Markov models (HMMs) are well suited to the characterization of longitudinal data in terms of a set of unobservable states, and have increasingly been used to uncover the dynamic heterogeneity in progressive diseases or activities. However, the existence of outliers or influential points may misidentify the hidden states and distort the associated inference. In this study, we develop a Bayesian local influence procedure for HMMs with latent variables in the presence of missing data. The proposed model enables us to investigate the dynamic heterogeneity of multivariate longitudinal data, reveal how the interrelationships among latent variables change from one state to another, and simultaneously conduct statistical diagnosis for the given data, model assumptions, and prior inputs. We apply the proposed procedure to analyze a dataset collected by the UCLA center for advancing longitudinal drug abuse research. Several outliers or influential points that seriously influence estimation results are identified and removed. The proposed procedure also discovers the effects of treatment and individuals’ psychological problems on cocaine use behavior and delineates their dynamic changes across the cocaine-addiction states.     

Addressing confounding errors when using non-experimental, observational data to make causal claims

In their recent book, Is Inequality Bad for Our Health?, Daniels, Kennedy, and Kawachi claim that to “act justly in health policy, we must have knowledge about the causal pathways through which socioeconomic (and other) inequalities work to produce differential health outcomes.” One of the central problems with this approach is its dependency on “knowledge about the causal pathways.” A widely held belief is that the randomized clinical trial (RCT) is, and ought to be the “gold standard” of evaluating the causal efficacy of interventions. However, often the only data available are non-experimental, observational data. For such data, the necessary randomization is missing. Because the randomization is missing, it seems to follow that it is not possible to make epistemically warranted claims about the causal pathways. Although we are not sanguine about the difficulty in using observational data to make warranted causal claims, we are not as pessimistic as those who believe that the only warranted causal claims are claims based on data from (idealized) RCTs. We argue that careful, thoughtful study design, informed by expert knowledge, that incorporates propensity score matching methods in conjunction with instrumental variable analyses, provides the possibility of warranted causal claims using observational data.     

心理授权研究进展

二十多年来,心理授权受到研究者的广泛重视。在以往研究中,研究者提出了心理授权的单维结构说、三维结构说、四维结构说和六维结构说,并在此基础上开发了相应的测量工具。在心理授权的影响因素方面,已有研究主要考察了个体变量和组织变量对心理授权的影响;在后果变量方面,主要探讨的是心理授权与工作满意度、组织承诺、职业承诺、绩效、心理健康等方面的关系。针对现有研究中存在的问题,本文在最后提出了未来研究的一些建议。     

海船驾驶员身心素质测评指标的建构

采用主次因素排列图法,确定了海船驾驶员身心素质的主要因素：应用变量()指标)聚类分析,对海船驾驶员身心素质结构的维度进行了研究,建构了海船驾驶员身心素质的10项测评指标;经新旧样本聚类结果比较,其效度符合心理测量学要求。本研究结果为我国海船驾驶员身心素质测评指标的界定提供了理论依据。     

结构方程在心理学研究中的应用

近年来,在教育、社会及心理学等研究领域,结构方程模型(SEM,Structural Equation Modeling)已成为重要的多变量分析方法,并日益受到广大研究者的重视。本文旨在对SEM作简要概述,并讨论其在心理学研究中的应用,以及在应用过程中应该遵循的标准和需要注意的一些问题。     

Contextualizing rape: Reviewing sequelae and proposing a culturally inclusive ecological model of sexual assault recovery

Consistent evidence demonstrates that many women who encounter the trauma of rape experience a range of both acute reactions and chronic psychological sequelae. This article reviews both the short- and long-term psychological adjustment issues associated with rape. In addition, we propose a culturally inclusive ecological model of sexual assault recovery (CIEMSAR), which integrates and extends existing models to better examine the complex factors leading to differential postrape adjustment. Important components of the CIEMSAR are placing rape in the broader sociocultural context of the United States and explicated socioracial and ethnic factors influencing the recovery process. The five primary factors of CIEMSAR are outlined, including (a) macrosystem or sociocultural context factors; microsystem/individual factors such as (b) assault characteristics, (c) person variables, (d) coping responses; and mesosystems factors such as (e) social-support systems. Suggestions for future research are also provided.