Developmentalists are generally interested in systems perspectives and this is reflected in the theoretical models of the past decade. However, the methodological tools to test these models are either nonexistent or difficult for many researchers to use. This article reviews the state space grid (SSG) method for analyzing synchronized event sequences based on dynamic systems (DS) principles. Following a review of these DS concepts and the basics of the SSG method, several studies are reviewed. Greater emphasis and detail are provided for three longitudinal studies that relate real-time socioemotional dynamics to processes of developmental change and stability. The concluding sections provide guidelines for researchers interested in using the SSG method and some suggestions for future SSG studies.
Behavioral rigidity is a common feature of many psychopathologies, yet the association between rigidity and the development of childhood psychopathology has not been studied. State space grids (a dynamic systems [DS] method) were used to examine the relation between rigidity in parent-child interactions and childhood externalizing and internalizing problems. High-risk kindergarten children (n = 240) and their parents were observed for 2 hr engaging in a variety of tasks that were expected to elicit a range of affect. State space grid analysis of the observational data revealed an association between rigidity in parent-child interactions and child externalizing behavior problems in the fall and spring of kindergarten and 1st grade, and with growth in those problems over time. Rigidity was associated with concurrent levels and with chronic high-level internalizing problems. Strengths and limitations of the new DS methodology in relation to understanding child psychopathology are discussed.
Parent–child dyadic rigidity and negative affect contribute to children’s higher levels of externalizing problems. The present longitudinal study examined whether the opposite constructs of dyadic flexibility and positive affect predicted lower levels of externalizing behavior problems across the early childhood period. Mother–child (N = 163) and father–child (n = 94) dyads engaged in a challenging block design task at home when children were 3 years old. Dynamic systems methods were used to derive dyadic positive affect and three indicators of dyadic flexibility (range, dispersion, and transitions) from observational coding. We hypothesized that the interaction between dyadic flexibility and positive affect would predict lower levels of externalizing problems at age 5.5 years as rated by mothers and teachers, controlling for stability in externalizing problems, task time, child gender, and the child’s effortful control. The hypothesis was supported in predicting teacher ratings of child externalizing from both mother–child and father–child interactions. There were also differential main effects for mothers and fathers: mother–child flexibility was detrimental and father–child flexibility was beneficial for child outcomes. Results support the inclusion of adaptive and dynamic parent–child coregulation processes in the study of children’s early disruptive behavior.
Negative emotion has been shown to reduce flexibility in cognition and behavior. We examined interpersonal flexibility during negative emotional episodes within parent-child interactions. Fifty-five mothers and early-adolescent daughters were observed during a positive discussion, a negative (conflict) discussion, and another positive discussion. Codes of moment-to-moment changes in emotion expression were used to create state space grids from which measures of emotional valence and flexibility were derived. As expected, mean flexibility was lowest during the conflict discussion when negative emotion peaked, suggesting that interpersonal flexibility decreases with increasing negative emotion. Sub-groups identified as low or high in stress were also compared. Dyads with girls reporting more stressful events showed lower flexibility during the first positive discussion. However, dyads expressing more negative emotion during the conflict discussion were also more flexible, suggesting that flexible dyadic styles permit more negative emotion. These individual difference findings are discussed in terms of the suppression versus expression of negative emotions.
A dynamic systems (DS) approach was used to study changes in the structure of family interactions during the early adolescent transition period. Longitudinal observational data were collected in 5 waves prior to, during, and after the transition. Boys (n = 149 families) were videotaped problem solving with their parents at 9-10 years old and every 2 years thereafter until they were 18 years old State space grids (a new DS method) were constructed for all families across all waves. Two variables indexing the variability of the family interactions were derived from the grids. As hypothesized, the DS variables revealed a significant quadratic effect related to a peak in variability at 13-14 years of age.
Adolescent "storm and stress" has been a focal yet controversial developmental framework for over a century. In the present article, we challenge the current perspective that storm and stress is neither ubiquitous nor inevitable but probable. Instead, we argue, storm and stress is a vestigial developmental framework, and we propose a more comprehensive approach to understanding adolescent-typical changes based on six premises: (1) The biological changes of adolescence are inevitable and ubiquitous; (2) adolescent biological changes drive various mechanisms of adolescent behavior; (3) adolescent biological changes are shaped by environmental influences; (4) individual differences in adolescent emotional-behavior changes are domain specific and vary in intensity; (5) there are individual differences in the age of onset and duration of periods of adolescent change; and (6) individual differences in the duration and intensity of transitions in emotional arousal are functionally modulated by burgeoning emotion regulation skills. We conclude with the more comprehensive 4T (typicality, transactions, temperament, and timing) approach and suggestions to guide adolescent research in the 21st century.
A survey of dynamic systems (DS) methods appropriate for testing systems-based models in developmental psychopathology is provided. The rationale for developing new methods for the field is reviewed first. In line with other scholars, we highlight the fundamental incompatibility between developmentalists' organismic, open systems models and the mechanistic research methods with which these models are tested. Key DS principles are explained and their commensurability with developmental psychopathologists' core theoretical concerns are discussed. Next, a survey of research designs and methodological techniques currently being used and refined by developmental DS researchers is provided. The strengths and limitations of each approach are discussed throughout this review. Finally, we elaborate on one specific dynamic systems method, state space grids, which addresses many of the limitations of previous DS techniques and may prove most useful for the discipline. This approach was developed as a middle road between DS methods that are mathematically heavy on the one hand and purely descriptive on the other. Examples of developmental and clinical studies that have applied state space grids are reviewed and suggestions for future analyses are made. We conclude with some implications for the application of this new methodology for studying change processes in clinical research.
Because both emotional arousal and regulation are continuous, ongoing processes, it is difficult, if not impossible, to separate them. Thus, affective dynamics can reveal the regulation of emotion as it occurs in real time. One way that this can be done is through the examination of intra-and interpersonal flexibility or the transitions into and out of affective states. The present article reviews and then expands upon the Flex3 model of real-time dynamic and reactive flexibility, specifying the ways in which individual differences in emotion regulation manifest as differences in flexibility. The differences in results at the real-time scale versus diurnal variability are also discussed within an emotion regulation framework.
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