Dynamic Structure in Diagnostic Structured Interviewing: A Comparative Test of Accuracy and Efficiency

The incorporation of Bayesian logic into diagnostic interviewing may assist with empirically based diagnostic assessment strategies in practice settings, balancing cost effectiveness, administration demands, and accuracy, yet few demonstrations of such a system have been undertaken in the context of mental health diagnosis. The present study represented an initial feasibility demonstration of whether a simplified Bayesian approach offered comparative advantages in interview accuracy and efficiency against a standard assessment procedure. Two different diagnostic algorithms were compared targeting three selected diagnoses: generalized anxiety disorder (GAD), major depressive disorder (MDD), and social phobia (SP). The first algorithm was from a standard semi-structured diagnostic interview, and the second was from a dynamic system using diagnostic base rate information to select interview content. The dynamic algorithm reduced administration time and uniformly matched or improved accuracy over standard procedures. Preparation of this article was supported in part by National Institute of Mental Health Grant R03 MH60134, an award from the University of Hawai‘i Research Council, and awards from the Hawaii Departments of Health and Education to the first author.     

A Survey of Behavior Analysis and Behavioral Consultation Courses in School Psychology: Implications for Training School Psychologists

All 216 doctoral and specialist level school psychology training programs were mailed a seven question survey to determine how much behavioral consultation and behavior analysis course work school psychology students are offered. One hundred and twenty-eight surveys were returned, yielding a return rate of 58.26%. The results indicated that almost all programs offer didactic courses in consultation (98.79%) and behavior analysis/behavior modification (91.52%). The percentage of practicum devoted to behavioral consultation and behavior analysis/modification was considerably less (about 25% for each) than other subject areas. The results are discussed within the context of training needed to meet the needs of practitioners in the areas of behavioral consultation and behavior analysis/behavior modification.     

Log Data Analysis with ANFIS: A Fuzzy Neural Network Approach

This study explores the use of the Adaptive Neuro-Fuzzy Inference System (ANFIS), a neuro-fuzzy approach, to analyze the log data of technology-based assessments to extract relevant features of student problem-solving processes, and develop and refine a set of fuzzy logic rules that could be used to interpret student performance. The log data that record student response processes while solving a science simulation task were analyzed with ANFIS. Results indicate the ANFIS analysis could generate and refine a set of fuzzy rules that shed lights on the process of how students solve the simulation task. We conclude the article by discussing the advantages of combining human judgments with the learning capacity of ANFIS for log data analysis and outlining the limitations of the current study and areas of future research.     

Functional assessment, collaboration, and evidence-based treatment: Analysis of a team approach for addressing challenging behaviors in young children

This study examined the effects of functional assessment and positive behavior support on classroom behaviors of young children. An experimental program, entitled FACET, was implemented by school-based teams in pre-kindergarten through first-grade classrooms. Observations of child behaviors and classroom variables were compared between experimental and control classrooms. Results indicate that children in FACET classrooms made significant gains from baseline to post-intervention and exhibited a higher occurrence of positive behaviors and fewer negative behaviors compared to control children. Behavior gains were positively correlated with the level of treatment fidelity. These findings support the effectiveness of an intervention that incorporates functional assessment, collaboration, and evidence-based treatment with young children who exhibit challenging behaviors.     

眼动记录技术与方法综述

眼动记录法是一种重要的心理学研究方法,目前已被广泛地应用于心理学的基础研究和应用研究领域之中。本文对主要的眼动记录方法进行了总结和分析,对国内外眼动记录仪的研制和发展情况进行了介绍,并就眼动记录技术和方法的前景提出了几点看法。     

Descriptive characteristics of extinction bursts: A record review

Procedural extinction is sometimes associated with a temporary increase in responding known as an extinction burst. Extinction bursts present unique challenges in the context of treating behavior targeted for reduction. The present study updates the prevalence of extinction bursts using a clinical sample (N = 108) receiving treatment for targeted behavior. The prevalence of extinction bursts in our sample (24%) was consistent with that in prior literature. The extinction-burst magnitude decreased across sessions after extinction was contacted during treatment, but this sample did not demonstrate decreased persistence or magnitude of extinction bursts across successive transitions from baseline to treatment. We also examined the prevalence and magnitude of extinction bursts based on the function and topography of targeted behavior and treatment components and found no consistent relation among these variables. These findings should lead clinicians to prepare for transient extinction bursts when implementing extinction-based treatment for challenging behavior.     

The Student Guided Functional Assessment Interview: An Analysis of Student and Teacher Agreement

Functional assessment strategies are used to guide the treatment of problem behavior with individuals who have severe disabilities. Also, researchers have extended functional assessment applications to individuals with emotional and behavioral disabilities. One such extension is the use of students as informants in the functional assessment process. The present study assessed an interview tool designed to elicit information directly from students regarding their problem behaviors. We examined agreement between students and their teachers. Results showed high agreement on the causes and functions of problem behavior with mixed agreement on support plan recommendations.     

A Cross-Domain Growth Analysis: Externalizing and Internalizing Behaviors During 8 Years of Childhood

In a sample of 405 children assessed in kindergarten through the seventh grade, we determined the basic developmental trajectories of mother-reported and teacher-reported externalizing and internalizing behaviors using cross-domain latent growth modeling techniques. We also investigated the effects of race, socioeconomic level, gender, and sociometric peer-rejection status in kindergarten on these trajectories. The results indicated that, on average, the development of these behaviors was different depending upon the source of the data. We found evidence of the codevelopment of externalizing and internalizing behaviors within and across reporters. In addition, we found that African-American children had lower levels of externalizing behavior in kindergarten as reported by mothers than did European-American children but they had greater increases in these behaviors when reported by teachers. Children from homes with lower SES levels had higher initial levels of externalizing behaviors and teacher-reported internalizing behaviors. Males showed greater increases in teacher-reported externalizing behavior over time than did the females. Rejected children had trajectories of mother-reported externalizing and internalizing behavior that began at higher levels and either remained stable or increased more rapidly than did the trajectories for non-rejected children which decreased over time.     

A Functional Analysis of Psychological Terms Redux

In his seminal paper, “An Operational Analysis of Psychological Terms,” Skinner (1945) offered the revolutionary suggestion that, rather than endlessly debating the meanings of psychological terms, psychologists should analyze the variables that control their occurrence as verbal behavior. Skinner''s suggestion reflected the essence of his 1957 book, Verbal Behavior, wherein he argued that the behaviors of which language is composed (i.e., speaking and listening) are controlled by variables found in the social environment (which he called the verbal community), and that analyzing those variables would lead to an understanding of the behaviors. Although Skinner formally introduced his radical approach to language in 1945, it has yet to be fully realized. The result is that psychologists, including behavior analysts, still debate the definitions of terms. In the present paper, I review Skinner''s functional approach to language and describe ways in which behavior analysts have already applied it to traditional psychological terms. I conclude by looking at other current terms in behavior analysis that engender some confusion and encourage behavior analysts to apply a functional analytic approach to their own verbal behavior.     

Analysis of precursors to multiply controlled problem behavior: A replication

We replicated Fritz, Iwata, Hammond, and Bloom (2013) by evaluating the efficacy of an experimental methodology to identify precursors to aggression displayed by an adolescent with autism spectrum disorder. Using their trial‐based precursor analysis, we identified seven precursors to aggression. Next, we compared the outcomes of separate precursor and aggression functional analyses and showed that both precursors and aggression were multiply controlled by the same variables.     

Out-of-bag Prediction Error: A Cross Validation Index for Generalized Structured Component Analysis

Cross validation is a useful way of comparing predictive generalizability of theoretically plausible a priori models in structural equation modeling (SEM). A number of overall or local cross validation indices have been proposed for existing factor-based and component-based approaches to SEM, including covariance structure analysis and partial least squares path modeling. However, there is no such cross validation index available for generalized structured component analysis (GSCA) which is another component-based approach. We thus propose a cross validation index for GSCA, called Out-of-bag Prediction Error (OPE), which estimates the expected prediction error of a model over replications of so-called in-bag and out-of-bag samples constructed through the implementation of the bootstrap method. The calculation of this index is well-suited to the estimation procedure of GSCA, which uses the bootstrap method to obtain the standard errors or confidence intervals of parameter estimates. We empirically evaluate the performance of the proposed index through the analyses of both simulated and real data.     

个体和群体方式绩效评估的准确性研究

本研究通过对 2 1 0名大学生以个体和群体方式对两个学科评估结果的研究 ,分析了个体与群体评估方式以及不同的评估标准对评估过程和评估结果的影响。研究结果表明 :1群体评估方式有利于减少评估中的晕轮效应 ;2群体方式有利于提高对评估信息的利用水平 ;3群体方式有利于提高评估者评分倾向 ,即代表性认知的一致程度 ;4群体方式有利于提高评估者理解绩效信息意义的一致程度 ;5群体方式评估时评估者对绩效信息结构的理解更为合理 ;6提供较为详细的评估标准有利于提高对信息的利用水平 ,有利于提高评估者评分倾向的一致程度以及评估者对学科差异的敏感性。