An integrated model for guiding the selection of treatment components for problem behavior maintained by automatic reinforcement

We evaluated the usefulness of 2 assessments to guide treatment selection for individuals whose prior functional analysis indicated that automatic reinforcement maintained their problem behavior. In the 1st assessment, we compared levels of problem behavior during a noncontingent play condition and an alone or ignore condition. In the 2nd, we assessed participants’ relative preferences for automatic reinforcement and social reinforcers in a concurrent‐operants arrangement. We used the results of these 2 assessments to assign 5 participants to a treatment based on noncontingent access to social reinforcers or to a treatment based on differential access to social reinforcers. We conducted monthly probes with the participants over 10 to 12 months to evaluate the effects of the treatment procedures. All participants showed reductions in problem behavior over this period.     

Examination of efficacious,efficient, and socially valid error‐correction procedures to teach sight words and prepositions to children with autism spectrum disorder

Prior research shows that learners have idiosyncratic responses to error‐correction procedures during instruction. Thus, assessments that identify error‐correction strategies to include in instruction can aid practitioners in selecting individualized, efficacious, and efficient interventions. The current investigation conducted an assessment to compare 5 error‐correction procedures that have been evaluated in the extant literature and are common in instructional practice for children with autism spectrum disorder (ASD). Results showed that the assessment identified efficacious and efficient error‐correction procedures for all participants, and 1 procedure was efficient for 4 of the 5 participants. To examine the social validity of error‐correction procedures, participants selected among efficacious and efficient interventions in a concurrent‐chains assessment. We discuss the results in relation to prior research on error‐correction procedures and current instructional practices for learners with ASD.     

Exceptionalism or Chinamerica: Measuring Religious Change in the Globalizing World Today

Religion is changing fast in this era of globalization. Major global trends include the growth of Muslims, the shrinking percentage of unaffiliated, and the rapid rise of Christianity in global China. By 2030, China is likely to become the largest Christian country in the world while retaining large numbers of Buddhists, Muslims, and folk religious believers. To capture religious changes more accurately, social scientists of religion must sharpen their measurement tools regarding religiosity; pay more attention to the reality of nonalignment among religious identity, belief, and practice; and acknowledge the reality of nonexclusive/multiple religious beliefs, practices, and identities. Scholars must also take responsibility for developing a clear and nuanced definition of religion, abandon exceptionalist thinking, and seek to discover common patterns of religious change across societies. Conceptual and measurement tools at the disposal of social scientists of religion should enable us to perceive and understand the converging changes of religion in China, the United States, and other societies, without ignoring their historical differences and contemporary particularities.     

Sect‐to‐Church Movement in Globalization: Transforming Pentecostalism and Coastal Intermediaries in Contemporary China

After eight months of itinerant fieldwork across 17 provinces, I elaborate on how the largest Pentecostal group deeply localized in China, the True Jesus Church, has undergone sect‐to‐church movement through interactions among overseas, coastal, and inland churches in globalizing China. A critical intermediary role in this process has been taken by emerging coastal Fujian leaders, who have been successfully reforming not only their churches but also inland counterparts by tactfully utilizing overseas churches as stimuli, resources providers, and legitimizers for the transformation project. The Chinese fever of integration into the world and high status granted to the overseas are keys to smooth away the barriers of the traditionalist old guard. Accordingly, the originally enclosed, anti‐political, sectarian, spirit‐led group has turned more institutionalized, laity‐oriented, text‐based, and welcoming to the government and mainstream Protestantism.     

The Long Arm of Religion: Childhood Adversity,Religion, and Self‐perception Among Black Americans

Significant associations between childhood adversity and adult mental health have been documented in epidemiological and social science research. However, there is a dearth of research examining this relationship among black Americans, as well as into what cultural institutions and practices may help individuals in dealing with childhood adversity. This study suggests that religion may be an important resource for black Americans in the face of early‐life socioeconomic and health disadvantage. Using data from the National Survey of American Life, a nationally representative sample of both African Americans and black Caribbeans (n = 5,191), this study outlines a series of arguments linking childhood adversity, religiosity, and self‐perception among black Americans. The results suggest some support for religious involvement in moderating—or buffering—the harmful effects of childhood adversity on the self‐esteem and mastery among black Americans, specifically religious service attendance and religious coping. In addition, the results reveal that religion may also amplify the deleterious effects of childhood disadvantage on adult mental health. Study limitations are identified and several promising directions for future research are discussed.     

Malchish‐Kibalchish: cultural factors in a clinical case

In this paper, a Jungian understanding of cultural factors influencing individual analysis is illustrated with the case of a patient suffering from panic attacks. The analysis revealed that, in addition to the patient's personal background, the collectivistic attitudes of the Soviet culture, which had a moulding effect on the patient in his childhood and obstructed his individuation, should be taken into account. The concepts of the totalitarian object and the Russian cultural complex encompassing a grandiosity pole and an inferiority pole are used to explore the patient's condition, and the crucial role of creating mutual language with the patient is outlined.     

A Test by Any Other Name: P Values,Bayes Factors,and Statistical Inference

Procedures used for statistical inference are receiving increased scrutiny as the scientific community studies the factors associated with insuring reproducible research. This note addresses recent negative attention directed at p values, the relationship of confidence intervals and tests, and the role of Bayesian inference and Bayes factors, with an eye toward better understanding these different strategies for statistical inference. We argue that researchers and data analysts too often resort to binary decisions (e.g., whether to reject or accept the null hypothesis) in settings where this may not be required.     

A Comparative Investigation of Confidence Intervals for IndependentVariables in Linear Regression

In linear regression, the most appropriate standardized effect size for individual independent variables having an arbitrary metric remains open to debate, despite researchers typically reporting a standardized regression coefficient. Alternative standardized measures include the semipartial correlation, the improvement in the squared multiple correlation, and the squared partial correlation. No arguments based on either theoretical or statistical grounds for preferring one of these standardized measures have been mounted in the literature. Using a Monte Carlo simulation, the performance of interval estimators for these effect-size measures was compared in a 5-way factorial design. Formal statistical design methods assessed both the accuracy and robustness of the four interval estimators. The coverage probability of a large-sample confidence interval for the semipartial correlation coefficient derived from Aloe and Becker was highly accurate and robust in 98% of instances. It was better in small samples than the Yuan-Chan large-sample confidence interval for a standardized regression coefficient. It was also consistently better than both a bootstrap confidence interval for the improvement in the squared multiple correlation and a noncentral interval for the squared partial correlation.     

Modeling Clustered Data with Very Few Clusters

Small-sample inference with clustered data has received increased attention recently in the methodological literature, with several simulation studies being presented on the small-sample behavior of many methods. However, nearly all previous studies focus on a single class of methods (e.g., only multilevel models, only corrections to sandwich estimators), and the differential performance of various methods that can be implemented to accommodate clustered data with very few clusters is largely unknown, potentially due to the rigid disciplinary preferences. Furthermore, a majority of these studies focus on scenarios with 15 or more clusters and feature unrealistically simple data-generation models with very few predictors. This article, motivated by an applied educational psychology cluster randomized trial, presents a simulation study that simultaneously addresses the extreme small sample and differential performance (estimation bias, Type I error rates, and relative power) of 12 methods to account for clustered data with a model that features a more realistic number of predictors. The motivating data are then modeled with each method, and results are compared. Results show that generalized estimating equations perform poorly; the choice of Bayesian prior distributions affects performance; and fixed effect models perform quite well. Limitations and implications for applications are also discussed.     

Trapping the Metasemantic Metaphilosophical Deflationist?

Some philosophers are metaphilosophical deflationists for metasemantic reasons. These theorists take standard philosophical assertions to be defective in some manner. There are various versions of metasemantic metaphilosophical deflationism, but a trap awaits any global version of it: metasemantics itself is a part of philosophy, so in deflating philosophy these theorists have thereby deflated the foundation of their deflationism. The present article discusses this issue and the prospects for an adequate response to the trap. Contrary to most historical responses (some of which it discusses), the article argues that the best response to the trap is to adopt a local but still pervasive metasemantic deflationism. Such a response might seem ad hoc, but the article argues that the human activity of philosophy isn't a natural kind, and that a heterogeneous metaphilosophy of the appropriate kind is well motivated.