An Exercise in Psychological Growth*

The author presents a case report followed by a self- assessment exercise which was generated spontaneously in collaboration with the patient herself during the treatment process. The lists of questions, designed to provoke thought and stimulate maturation, were found to be quite helpful especially in making important life decisions. It is proposed as a learning tool and template for use by those confronting similar issues. Lois Gerby, MA, is a psychologist and family therapist in private practice, 32 Hapalmach St., Suite 32/7, Jerusalem, Israel 92542 (jack.friedman@mail.mcgill.ca). *Translation by Yacov Friedman and Haim Sherrf.     

Variability in affective change among aging men: Longitudinal findings from the VA Normative Aging Study

We examined change in both positive and negative affect over ages 45 to 97 among 1534 men (mean age = 69 years). Positive affect demonstrated a linear decline with age, while negative affect declined until approximately 70 years, and thereafter showed a gradual increase. Results indicated significant individual differences in rates of change for both positive and negative affect. We then examined whether personality, health, and work status might account for individual differences in levels and rates of change in affect. Higher extraversion was associated with higher levels of positive affect, but not with rate of change. Higher neuroticism predicted higher levels of negative affect, as well as an attenuated decline in middle-adulthood, and a steeper increase in later adulthood. Better health was associated with higher levels of positive affect and lower levels of negative, but was also found to predict less decline in negative affect. Work predicted lower levels of positive affect and higher levels of negative affect, as well as greater declines in positive affect. These findings indicate that individuals differ in the manner in which they change in affect over time.     

Students' Perceptions of Class Management and Reports of Their Own Misbehavior

This study examines relationships between students' perceptions of class management and their self-reported misbehavior. Findings are based on a national representative sample of 3834 students from 227 classes in grades 6 and 9 who were attending Norwegian schools. Students' perceptions of class management accounted for significant amounts of variance in self-reported misbehavior. Perceived class management was more strongly associated with off-task orientation and opposition toward teachers than with bullying. Explained variance in misbehavior was markedly higher on the individual than on the class level. Student misbehavior seems only moderately related to general differences in the class management a class encounters. The relatively high variance in off-task orientation and opposition toward teachers accounted for by perceived class management at the individual student level might indicate that the extent of such misbehaviors is more closely linked to how teachers adapt management to particular students or to how students are favored by teachers. Perceived emotional support from teachers showed the strongest positive associations with desired student behavior.     

Perceiving Benefits in the Cancer Experience

The potential for benefits to be construed under stressful circumstances has become a topic of interest for researchers studying psychological reactions to adversity. This paper examines benefit-construal following one such stressful event—cancer. A simple framework is presented to organize qualitative and quantitative data from various literatures, including psychology, nursing, oncology, and social work, into 3 areas in which cancer survivors frequently report deriving benefits: life perspective, interpersonal relationships, and the self. This typology helps to clarify the extent and nature of benefit-finding in cancer survivors and provides directions for future research.     

回归混合模型：方法进展与软件实现

近来以个体为分析对象的方法日益受到研究者的重视, 其中潜类别和潜剖面模型最为流行。研究者在潜类别和潜剖面模型建模时往往需要进一步探讨协变量与潜分组之间的关系(即带有协变量的潜类别模型)。例如, 哪些变量预测个体类别归属, 以及个体的类别归属对结果变量的预测。本文对近年来研究者提出的各种方法进行了回顾和比较。包括当结果变量是分类变量的LTB法; 当结果变量是连续变量时的BCH和稳健三步法。在此基础上, 文章为应用研究者提供了Mplus软件示例, 并在最后对当前研究存在的问题和未来研究趋势进行了简要评价。     

New perspectives on binding in visual working memory

How does visual working memory (WM) store the binding between different features of a visual object (like colour, orientation, and location), and does memorizing these bindings require additional resources beyond memorizing individual features? These questions have traditionally been addressed by comparing performance across different types of change detection task. More recently, experimental tasks such as analogue (cued) recall, combined with analysis methods including Bayesian hypothesis testing and formal model comparison, have shed new light on the properties of WM. A significant new perspective is that noise in neural representation limits the precision of recall, and several recent models incorporate this view to account for failures of binding in WM. We review the literature on feature binding with a focus on these new developments and discuss their implications for the interpretation of classical findings.     

Dynamics of Religious Group Growth and Survival

We model and analyze the dynamics of religious group membership and size. A group is distinguished by its strictness, which determines how much time group members are expected to spend contributing to the group. Individuals differ in their rate of return for time spent outside of their religious group. We construct a utility function that individuals attempt to maximize, then find a Nash equilibrium for religious group participation with a heterogeneous population. We then model dynamics of group size by including birth, death, and switching of individuals between groups. Group switching depends on the strictness preferences of individuals and their probability of encountering members of other groups. We show that in the case of only two groups—one with finite strictness and the other with zero—there is a parameter combination that determines whether the nonzero strictness group can survive over time, which is more difficult at higher strictness levels. We also show that a high birth rate can allow even the strictest groups to survive. Finally, we consider cases of several groups, gaining insight into strategic choices of strictness values and displaying the rich behavior of the model.     

Comparing self‐directed methods for training staff to create graphs using Graphpad Prism

An important skill for behavior analysts is creating graphs that clearly convey outcomes and conform to publication conventions. GraphPad Prism is software designed for creating scientific graphs, but no prior research has empirically evaluated training graphing skills using Prism. Two effective training methods are enhanced written instructions (EWI) and video modeling with voiceover instructions (VMVO), but no single‐subject studies have compared the effects of these methods. In this study, we compared the efficacy and social validity of EWI and VMVO for training staff to create graphs using Prism. A single‐subject design was employed to compare the effects of the methods on the individual performance of 11 graduate students. EWI and VMVO were both found to be effective, and more participants chose to use EWI.     

An Examination of a Functional Mixed-Effects Modeling Approach to the Analysis of Longitudinal Data

Growth curve modeling is one of the main analytical approaches to study change over time. Growth curve models are commonly estimated in the linear and nonlinear mixed-effects modeling framework in which both the mean and person-specific curves are modeled parametrically with functions of time such as the linear, quadratic, and exponential. However, when more complex nonlinear trajectories need to be estimated and researchers do not have a priori knowledge of an appropriate functional form of growth, parametric models may be too restrictive. This paper reviews functional mixed-effects models, a nonparametric extension of mixed-effects models that permit both the mean and person-specific curves to be estimated without assuming a prespecified functional form of growth. Details of the model are presented along with results from a simulation study and an empirical example. The simulation study showed functional mixed-effects models performed reasonably well under various conditions commonly associated with longitudinal panel data, such as few time points per person, irregularly spaced time points across persons, missingness, and nonlinear trajectories. The usefulness of functional mixed-effects models is illustrated by analyzing empirical data from the Early Childhood Longitudinal Study – Kindergarten Class of 1998–1999.