Analyzing temporal patterns of infant sleep and negative affective behavior: a comparison between different statistical models

Objective

Variability in infant sleep and negative affective behavior (NAB) is a developmental phenomenon that has long been of interest to researchers and clinicians. However, analyses and delineation of such temporal patterns were often limited to basic statistical approaches, which may prevent adequate identification of meaningful variation within these patterns. Modern statistical procedures such as additive models may detect specific patterns of temporal variation in infant behavior more effectively.

Method

Hundred and twenty-one mothers were asked to record different behaviors of their 4–44 weeks old healthy infants by diaries for three days consecutively. Circadian patterns as well as individual trajectories and day-to-day variability of infant sleep and NAB were modeled with generalized linear models (GLMs) including a linear and quadratic polynomial for time, a GLM with a polynomial of the 8th order, a GLM with a harmonic function, a generalized linear mixed model (GLMM) with a polynomial of the 8th order, a generalized additive model, and a generalized additive mixed model (GAMM).

Results

The semi-parametric model GAMM was found to fit the data of infant sleep better than any other parametric model used. GLMM with a polynomial of the 8th order and GAMM modeled temporal patterns of infant NAB equally well, although the GLMM exhibited a slightly better model fit while GAMM was easier to interpret. Besides the well-known evening clustering in infant NAB we found a significant second peak in NAB around midday that was not affected by the constant decline in the amounts of NAB across the 3-day study period.

Conclusion

Using advanced statistical procedures (GAMM and GLMM) even small variations and phenomena in infant behavior can be reliably detected. Future studies investigating variability and temporal patterns in infant variables may benefit from these statistical approaches.     

Can We Consume Our Way Out of Climate Change? A Call for Analysis

The problem of climate change is analyzed as a manifestation of economic growth, and the steady-state economy of ecological economics is proposed as a system-wide solution. Four classes of more specific solutions are described. In the absence of analysis, cultural inertia will bias solutions in favor of green consumption as a generalized solution strategy. By itself, green consumption is a flawed solution to climate change because it perpetuates or even accelerates economic growth that is incompatible with a sustainable culture. Addressing climate change requires an integration of regulatory, energy efficiency, skill-based, and dissemination solutions. Behavioral scientists are encouraged to work with others in ecological economics and other social sciences who recognize cultural reinvention as a means of achieving sustainability.     

Attachment‐style differences in the appraisal of the attachment figure

The present study investigated the distinctive effects of global and specific attachment styles on the processing of attachment‐figure cues, focusing specifically on the role of cognitive inhibition. We manipulated the temporal accessibility of specific attachment styles and measured automatic inhibitory processes using a negative affective priming (NAP) task presenting positive and negative words. We also measured one's explicit attitude towards the attachment figure. Results showed that specific, but not global, attachment styles influenced the processing of attachment‐figure cues. We also found that participants primed with a secure attachment style showed a better inhibition of negative traits than those primed with an insecure style. At the explicit level, the anxious attachment types showed a more negative evaluation of their attachment figure than primed secures. Copyright © 2010 John Wiley & Sons, Ltd.     

Religious Ambivalence,Liminality, and the Increase of No Religious Preference in the United States, 2006–2014

Americans identified less and less with organized religion over the past two decades. Yet apparently, many people who no longer identify with a religion are not consistently nonreligious. Reinterviews reveal that many people who express no religious preference in one survey name a religion when asked the same question in a subsequent interview. Past research called this phenomenon a “liminal” status. This article improves estimates of liminality by using three interviews and a better statistical model. About 20 percent of Americans were liminal in recent years, 10 percent were consistently nonreligious, and 70 percent were consistently religious. Falling religious identification in cross‐sectional data over the last three decades reflects slow change in religious identity, but some of the rise of the nones is due to more liminals saying they have no religion. Liminals appear equally among people raised conservative Protestant, mainline Protestant, or Catholic.     

Supervising away from home: clinical,cultural and professional challenges

This paper explores some challenges of supervising clinical work of trainees, known as ‘routers’, who live in countries with diverse cultural, social and political traditions, and the analysts who travel to supervise them. It is written as an evolving dialogue between the authors, who explore together the effects of their own culture of origin, and in particular the legacy and values of their own training institutes on the styles and models of analytic supervision. Their dialogue is framed around the meaning of home and experiences of homesickness for analysts working away from home in an interactive field of strangeness in countries where analytical psychology is a relatively new discipline. The authors outline the findings from their own qualitative survey, where other supervisors working abroad, and those they have supervised, describe their experiences and their encounters with difference. The dialogue ends with both authors discussing what they have learned about teaching and supervising abroad, the implications for more flexible use of Jungian concepts, and how such visits have changed their clinical practice in their home countries.     

Epicurus and B. F. Skinner: In search of the good life

This paper examines similarities in the works of Epicurus, an ancient Greek philosopher, and B. F. Skinner, a behavioral psychologist. They both were empiricists who argued in favor of the lawfulness of behavior while maintaining that random events were included within those laws. They both devoted much effort to describing how individuals could live effective, rewarding and pleasurable lives. They both emphasized simple and natural pleasures (or reinforcers) and the importance of combining personal pleasures with actions that benefit friends and community. They both opposed punishment and all aversive measures used by governments and religions to control behaviors. And both created utopias: a real community, The Garden, where Epicurus lived with his followers, and a fictional one, Walden Two, by Skinner. We consider how a combination of the ideas of Epicurus and Skinner can contribute to their common goal of helping people to live better lives.     

Building A General Theory of Meta‐Argumentation

This article presents a critical analysis of the main modern approaches to the problem of meta‐argumentation and suggests a method for developing a general conception of meta‐argumentation. A set of theoretical‐methodological difficulties (aporias) along this path is revealed. Overcoming these aporias would constitute the main steps toward developing the body of a theory of meta‐argumentation.     

A Comparison of Population-Averaged and Cluster-Specific Approaches in the Context of Unequal Probabilities of Selection

Sampling designs of large-scale survey studies are typically complex, involving multiple design features such as clustering and unequal probabilities of selection. Single-level (i.e., population-averaged) methods that use adjusted variance estimators and multilevel (i.e., cluster-specific) methods provide two alternatives for modeling clustered data. Although the literature comparing these methods is vast, comparisons have been limited to the context in which all sampling units are selected with equal probabilities (thus circumventing the need for sampling weights). The goal of this study was to determine under what conditions single-level and multilevel estimators outperform one another in the context of a two-stage sampling design with unequal probabilities of selection. Monte Carlo simulation methods were used to evaluate the impact of several factors, including population model, informativeness of the design, distribution of the outcome variable, intraclass correlation coefficient, cluster size, and estimation method. Results indicated that the unweighted estimators performed similarly across conditions, whereas the weighted single-level estimators tended to outperform the weighted multilevel estimators, particularly under nonideal sample conditions. Multilevel weight approximation methods did not perform well when the design was informative. An empirical example is provided to demonstrate how researchers might investigate the implications of the simulation results in practice.     

Predicting the Emergence of Community Psychology and Community Development in 91 Countries with Brief Case Studies of Chile and Ghana

Using a mixed‐method analysis, we propose and test a framework for predicting the international development of community psychology (CP) and community development (CD) as two examples of applied community‐based research (CBR) disciplines aiming to link local knowledge generation with social change. Multiple regressions on an international sample of 91 countries were used to determine the relative influences of preexisting grassroots activism, population size, social and economic development, and civil liberties on estimates of the current strength of CP and CD based on Internet search and review of training courses and programs, published articles and journals, and professional organizations and conferences in these countries. Our results provide support for the proposed model and suggest that grassroots activism positively accounts for the development of CP and CD, above and beyond the influences of the other predictors. Brief qualitative case‐study analyses of Chile (high CP, low CD) and Ghana (high CD, low CP) explore the limitations of our quantitative model and the importance of considering other historical, sociopolitical, cultural, and geographic factors for explaining the development of CP, CD, and other applied community studies.