Evaluating the Performance Diagnostic Checklist‐Human Services to assess incorrect error‐correction procedures by preschool paraprofessionals

The Performance Diagnostic Checklist‐Human Services (PDC‐HS) has been used to assess variables contributing to undesirable staff performance. In this study, three preschool teachers completed the PDC‐HS to identify the factors contributing to four paraprofessionals' inaccurate implementation of error‐correction procedures during discrete trial training sessions. The PDC‐HS indicated insufficient training as a contributing factor. We then implemented a nonindicated intervention (posting reminders), followed by an indicated intervention (behavioral skills training). The nonindicated intervention failed to produce desired performance improvements; however, the PDC‐HS indicated intervention resulted in improvements for all paraprofessionals.     

Precursor behavior and functional analysis: A brief review

Researchers have developed precursor functional analyses to provide an alternative, and presumably safer, format for functional analysis of severe problem behavior. When researchers use functional analysis contingencies for precursor behaviors, it is possible to infer functional characteristics about severe problem behaviors based on patterns of less severe precursor behaviors, permitting practitioners to complete the assessment with less risk to clients, practitioners, or others. The current paper discusses recent advances in the development and validation of precursor identification, and offers suggestions and future directions for investigating and implementing precursor functional analyses. We propose a decision‐making model, in which practitioners integrate procedures to identify precursors into the functional‐analysis process, to expedite the analysis of severe problem behaviors.     

Occupational Therapy Services to Promote Occupational Performance,Performance Satisfaction,and Quality of Life in University Freshmen: A Pilot Study

Mental health impacts success for many university students. Occupational therapists can intervene during the transition to university to promote mental health. A 5-week, occupation-based group was provided to a group of freshmen university students to encourage short-term improvements in occupational performance (OP), performance satisfaction (PS), and quality of life (QOL). Statistically significant results were obtained for OP and PS (p < 0.05). However, no significant results were obtained when assessing QOL (p > 0.05). Further research, including long term follow-up, about the impact of occupation-based groups with transitioning freshmen is recommended.     

School-Based Mental Health Services: A Research Review

This paper provides a synthetic review of research on school-based mental health services. Schools play an increasingly important role in providing mental health services to children, yet most school-based programs being provided have no evidence to support their impact. A computerized search of references published between 1985 and 1999 was used to identify studies of school-based mental health services for children. Study inclusion was determined by (i) use of randomized, quasi-experimental, or multiple baseline research design; (ii) inclusion of a control group; (iii) use of standardized outcome measures; and (iv) baseline and postintervention outcome assessment. The application of these criteria yielded a final sample of 47 studies on which this review is based. Results suggest that there are a strong group of school-based mental health programs that have evidence of impact across a range of emotional and behavioral problems. However, there were no programs that specifically targeted particular clinical syndromes. Important features of the implementation process that increase the probability of service sustainability and maintenance were identified. These include (i) consistent program implementation; (ii) inclusion of parents, teachers, or peers; (iii) use of multiple modalities; (iv) integration of program content into general classroom curriculum; and (v) developmentally appropriate program components. Implications of these findings and directions for future research are discussed.     

Using the Performance Diagnostic Checklist–Human Services to identify an indicated intervention to decrease employee tardiness

We assessed and reduced the tardiness of 4 direct‐care staff employed at a school that provides educational services to children with autism. The Performance Diagnostic Checklist – Human Services was administered to participants and their supervisors to identify one or more indicated interventions. Relative to baseline, tardiness was lower during intervention. The most effective intervention included task clarification, a problem‐solving discussion, tokens exchangeable for back‐up reinforcers, and weekly graphic feedback. Moreover, participants reported that the intervention components, particularly praise and a token, had high acceptability.     

The Type A Structured Interview: A behavioral assessment in the rough

The Type A behavior pattern is the focus of considerable research in behavioral medicine because of its causal relevance to coronary heart disease. The primary assessment of Type A behavior is a global rating made from a structured interview. From the perspective of behavioral assessment, this Structured Interview (SI) is important for two reasons. First, it provides an example of the superiority of an observed behavioral measure compared to self-report questionnaires for the assessment of an overt behavior pattern. Second, it provides a unique opportunity for the application of behavioral assessment technology. However, while the SI has demonstrated its clinical and research utility as a diagnostic procedure, its usefulness could be further enhanced in the areas of treatment selection and evaluation. The historical relationship between behavior and coronary heart disease is described. The development of the SI and the strengths of this assessment relative to other measurement approaches are reviewed. The standard questions and administration procedures for the interview are presented, along with several variations and modifications. Following this overview, the SI is discussed from the perspective of behavioral assessment.     

Appraisal of behavioral measurement techniques for assessing dental anxiety and fear in children: A review

The aim of this article is to review and evaluate behavioral and physiological measurement techniques frequently used to assess dental anxiety and fear in children. Attention is given to the data collected, the empirical findings obtained, and the availability of normative data. The main focus, however, is on the reliability and validity. Results show that all questionnaires are open to criticism. Of the behavioral measures, Melamed's Behavior Profile Rating Scale is to be preferred to Frankl's Rating Scale, Venham Rating Scales, and Visual Analogue Scales. The main reasons are that Melamed's BPRS measures the behavior of the child more precisely and that it has superior psychometric properties. Furthermore, because of their practical, conceptual, and psychometric problems, physiological measures at this stage are found to be less appropriate for assessing dental fear in children. It is concluded that a behavioral measure is not always the ideal, but often the only available technique for assessing dental fear in children.     

A review of functional assessment use in data-based intervention studies

We reviewed the extent and variety of functional assessment procedures used in behavioral intervention studies. The contents of six research journals dating from 1986 to 1992 were searched for articles describing single-subject intervention studies that targeted problematic social behaviors. Articles meeting this initial criteria were examined to determine if a functional assessment was conducted. If so, the various procedures comprising the functional assessment, types of interventions conducted, and demographic characteristics of study participants were recorded for each study. Results are compared to similar reviews of research dating from 1980–1985. Potential reasons for the paucity of studies incorporating functional assessment procedures are discussed. Finally, directions for future research and applied practice are provided.     

Dynamic Bayesian Network Modeling of Game-Based Diagnostic Assessments

Abstract

Digital games offer an appealing environment for assessing student proficiencies, including skills and misconceptions in a diagnostic setting. This paper proposes a dynamic Bayesian network modeling approach for observations of student performance from an educational video game. Drawing from and advancing methods in dynamic Bayesian networks, cognitive diagnostic modeling, and analysis of process data, a Bayesian approach to model construction, calibration, and use in facilitating inferences about students on the fly is described, and implemented in the context of an educational video game.     

Interventions for inappropriate sexual behavior in individuals with intellectual and developmental disabilities: A brief review

Although prevalence rates vary, 6% to 28% of individuals with intellectual or developmental disabilities (IDDs) engage in inappropriate sexual behavior (ISB), ranging from public masturbation to sexually aggressive behavior. Along with increased risk for contacting the criminal justice system, people with IDDs who display ISB may encounter negative social consequences, restricted community access and barriers to independence, and a variety of counter-therapeutic outcomes. The purpose of the present review is to highlight recent, efficacious behavior-analytic treatments for ISB in individuals with IDDs. Ethical considerations and areas for future research will be discussed.     

The Good Behavior Game: A brief review

The Good Behavior Game (GBG) is a group contingency that reduces disruption and increases engagement in various contexts. In recent years, researchers have extended the GBG in at least 3 ways: (a) demonstrating its efficacy with novel populations, settings, and behaviors, (b) examining procedural variations that improve contextual fit, and (c) using more comprehensive data collection methods to explore the behavior of individual students and indirect effects. The purpose of the current review is to summarize recent advances, discuss implications of recent studies and potential mechanisms for the general efficacy of the GBG, and suggest future directions.     

Computerized assessment in neuropsychology: A review of tests and test batteries

This article contains detailed reviews of 13 computerized neuropsychological and performance test batteries and six stand-alone computer tests. Tasks found on these instruments are described and tables illustrate which batteries employ which measures. In addition to issues of reliability and validity, special considerations apply to computerized assessment. These issues are discussed and readers are provided information to help them assess computerized tests in relation to their particular clinical and research needs. Since many computerized tests were developed as performance assessment tools, the relationship between performance and neuropsychological assessment is examined.     

Using Structural Analysis in Natural Settings: A Responsive Functional Assessment Strategy

Since the reauthorization of IDEA (1997), the use of functional assessments to examine factors that are related to students challenging behaviors has gained increasing attention in the literature. Over the past five years, several groups of investigators have conducted systematic analyses of the current status of the use of functional assessment in relation to students with or at risk for emotional/behavioral disorders (EBD). Their findings outline a number of critical, applied research issues for the field to consider. The purpose of this paper is to respond to a number of these issues by highlighting the relevance of structural analysis in addition to and in some cases in lieu of more traditional functional assessments. A brief review of current trends in the functional assessment research is presented as well as a rational for the use of structural analysis to examine the occurrence of appropriate behavior for students with EBD. Finally, illustrations of studies conducting structural analyses in classrooms settings are provided.     

Infant positioning: A brief review

The American Academy of Pediatrics (2016a) has made several recommendations regarding the safe positioning of infants by caregivers, including placing infants in a supine position for sleep and in prone for supervised periods of tummy time. However, caregivers may have difficulty adhering with these recommendations. A small, but growing, number of behavior analytic studies have examined these infant safety recommendations and strategies for increasing adherence. This review describes behavior analytic research on infant positioning and provides suggestions for future research.     

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.     

Clinical research on behavioral activation as treatment for post‐traumatic stress disorder: A brief review and meta‐analysis

Behavioral activation (BA), an effective treatment for depression, has recently been receiving attention as a possible intervention for PTSD. BA interventions could be particularly useful in treating underserved populations (i.e., individuals with lower socioeconomic status). A literature search was conducted, which identified seven outcome studies that examined the effectiveness of stand‐alone BA treatment for individuals with PTSD. All studies identified for this brief review demonstrated clinically significant reductions in PTSD symptoms using BA as an intervention. A meta‐analysis of these few studies revealed a nonsignificant effect (Cohen's d = 0.713, p = .512) despite reporting an average symptom reduction of 25.8%. Other studies utilizing BA treatment for PTSD do so in tandem with other interventions and were excluded from analysis. This brief review summarizes the literature on the use of BA as a stand‐alone treatment for PTSD and suggests that future research seek to confirm the usefulness of BA as a potential treatment modality for mental health‐care providers treating individuals with PTSD.     

A Polytomous Model of Cognitive Diagnostic Assessment for Graded Data

Pursuing the line of the difference models in IRT (Thissen &; Steinberg, 1986 Thissen, D., &; Steinberg, L. (1986). A taxonomy of item response models. Psychometrika, 51:567–577. doi:10.1007/BF02295596.[Crossref], [Web of Science ®] , [Google Scholar]), this article proposed a new cognitive diagnostic model for graded/polytomous data based on the deterministic input, noisy, and gate (Haertel, 1989 Haertel, E. H. (1989). Using restricted latent class models to map the skill structure of achievement items. Journal of Educational Measurement, 26, 333–352. doi:10.1111/j.1745-3984.1989.tb00336.x.[Crossref], [Web of Science ®] , [Google Scholar]; Junker &; Sijtsma, 2001 Junker, B. W., &; Sijtsma, K. (2001). Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement, 25, 258–272. doi:10.1177/01466210122032064.[Crossref], [Web of Science ®] , [Google Scholar]), which is named the DINA model for graded data (DINA-GD). We investigated the performance of a full Bayesian estimation of the proposed model. In the simulation, the classification accuracy and item recovery for the DINA-GD model were investigated. The results indicated that the proposed model had acceptable examinees' correct attribute classification rate and item parameter recovery. In addition, a real-data example was used to illustrate the application of this new model with the graded data or polytomously scored items.     

The psychological treatment of memory impairment: A review of empirical studies

Memory impairment is a frequent effect of many different forms of brain dysfunction. Memory impairment is also a frequent focus of treatment interventions, and there have been many different treatment methods suggested. The suggested methods include direct retraining, the use of spared skills in compensating for the impairment (alternate functional systems), and the use of behavioral strategies to circumvent the manifest memory dysfunction (behavioral prosthetics). Unfortunately, there are very few studies comparing the various suggested treatment methods. The present paper evaluates the empirical evidence related to the treatment of memory dysfunction and suggests directions for future investigations. Although the evidence is not conclusive, it appears that some forms of treatment may be helpful in remediating certain types of memory impairment. An approach likely to be productive would include some consideration of the impaired neurological and psychological mechanisms responsible for the manifest memory deficit as well as a consideration of the etiology of the injury thought to be causally related to the memory deficit. As yet, there have been no rigorous empirical evaluations of these considerations.     

认知诊断评价中测验结构的优化设计

Q矩阵是认知诊断评价的基础和核心要素, 它反映了测验的构念和内容设计, 直接影响着测验诊断分类的效果。本文采用Monte Carlo模拟, 研究了6种属性层级关系下, 不同的Q矩阵设计对于认知诊断效果的影响。用模式判准率的均值和标准差分别从分类准确性和稳定性的角度来评价诊断效果。实验结果表明：(1) 不同属性层级关系下, 分类准确性会随着测验长度的增加而提高, 但当测验长度增加到一定程度时, 会出现“天花板效应”; (2) Q矩阵中R*的个数(NR*)会影响测验的分类准确性及稳定性：NR*越大, 测验的分类稳定性越高, 当测验长度为属性个数的整数倍, 且NR*为测验长度相对属性个数的最大奇数倍时分类准确性最高; (3) Q矩阵中除R*以外的项目考察的属性个数会随着属性层级关系的不同对测验的分类准确性和稳定性产生不同的影响。根据实验结果, 本研究提出了进行诊断评价时Q矩阵优化设计的一些建议。