Beth L. Green

Bio: Beth L. Green is an academic researcher from Portland State University. The author has contributed to research in topics: Early childhood & Early Head Start. The author has an hindex of 24, co-authored 49 publications receiving 1970 citations.

How do relationships support parenting? Effects of attachment style and social support on parenting behavior in an at-risk population.

Abstract: The importance of supportive relationships for new parents has been the focus of both research and parenting interventions. Attachment style, typically viewed as a relatively stable trait reflecting one’s comfort in social relationships, as well as social support, or one’s perception of the social context, have both been found to be important for fostering engaged, involved parenting. Less is known, however, about how these variables work together to influence parenting behavior, especially in families at higher risk for negative child outcomes. Data were collected from 152 urban, predominantly African American, low-income parents when their children were 14 and 36 months of age. Results suggest that parents with more social support show greater increases in the frequency of positive parent–child activities over time, but that this effect is mediated by mothers’ attachment style, specifically, their level of anxious/ambivalent attachment. Mothers with more social support tended to be less anxious/ambivalent about close relationships, and this in turn led to increases over time in the frequency of parent–child interactions. Mothers’ tendency to avoid close relationships, however, while correlated with social support, was unrelated to changes in parenting behavior. Implications of these findings for program development, parenting, and the malleability of attachment style based on social context are discussed.

The helping relationship and program participation in early childhood home visiting

Abstract: As researchers have focused on better understanding those circumstances under which home visiting can lead to positive effects on parent and child outcomes, there has been growing interest in examining variation in the experiences of families within these programs, including the quality of the helping relationships between home visitors and parents. The current study examined how participating mothers perceive the helping relationship, using information collected from the Early Head Start National Research and Evaluation Project. Results suggest that although maternal report of the helping relationship is biased towards positive ratings, it remains a significant predictor of program participation, over and above general program satisfaction. Implications for measurement development and program interventions are discussed.

Determinants of social support among low-income mothers: a longitudinal analysis.

Abstract: This study examined the reciprocal relationships between perceived mastery, stress, and three functional areas of social support: tangible support, informational support, and belongingness support. Data were collected during two face-to-face interviews with a sample of low-income, primarily African-American mothers, conducted approximately 1 year apart. Consistent with predictions, initial levels of mastery predicted higher subsequent levels of instrumental social supports (tangible and advice support), but were unrelated to belonging support. Conversely, initial levels of tangible support were predictive of later mastery. Perceived stress did not account for any additional variance in subsequent support, although initial levels of belonging support only did predict reduced stress at Time 2. Results suggest that successful attempts to garner instrumental supports is an important contributor to individuals' sense of self-efficacy, at the same time, self-efficacy leads to more successful use of existing social support systems. These findings point to the importance of having both available tangible support networks as well as close emotional supports for low-income parents. The importance of using longitudinal, multidimensional analyses to better understand the social support process is discussed.

Machines and Mindlessness: Social Responses to Computers

Abstract: Following Langer (1992), this article reviews a series of experimental studiesthat demonstrate that individuals mindlessly apply social rules and expecta-tions to computers. The first set of studies illustrates how individuals overusehuman social categories, applying gender stereotypes to computers and ethnicallyidentifying with computer agents. The second set demonstrates that people exhibitoverlearned social behaviors such as politeness and reciprocity toward comput-ers.Inthethirdsetofstudies,prematurecognitivecommitmentsaredemonstrated:Aspecialisttelevisionsetisperceivedasprovidingbettercontentthanageneralisttelevision set. A final series of studies demonstrates the depth of social responseswith respect to computer “personality.” Alternative explanations for these find -ings, such as anthropomorphism and intentional social responses, cannot explainthe results. We conclude with an agenda for future research.Computer users approach the personal computer in many different ways.Experienced word processors move smoothly from keyboard to mouse to menu,mixing prose and commands to the computer automatically; the distinctionbetween the hand and the tool blurs (Heidegger, 1977; Winograd & Flores, 1987).Novices cautiously strike each key, fearing that one false move will initiate anuncontrollable series of unwanted events. Game players view computers as

A critique of the cross-lagged panel model.

Abstract: The cross-lagged panel model (CLPM) is believed by many to overcome the problems associated with the use of cross-lagged correlations as a way to study causal influences in longitudinal panel data. The current article, however, shows that if stability of constructs is to some extent of a trait-like, time-invariant nature, the autoregressive relationships of the CLPM fail to adequately account for this. As a result, the lagged parameters that are obtained with the CLPM do not represent the actual within-person relationships over time, and this may lead to erroneous conclusions regarding the presence, predominance, and sign of causal influences. In this article we present an alternative model that separates the within-person process from stable between-person differences through the inclusion of random intercepts, and we discuss how this model is related to existing structural equation models that include cross-lagged relationships. We derive the analytical relationship between the cross-lagged parameters from the CLPM and the alternative model, and use simulations to demonstrate the spurious results that may arise when using the CLPM to analyze data that include stable, trait-like individual differences. We also present a modeling strategy to avoid this pitfall and illustrate this using an empirical data set. The implications for both existing and future cross-lagged panel research are discussed.