Fathers’ Paternity Leave-Taking and Children’s Perceptions of Father-Child Relationships in the United States

Paternity leave-taking is believed to benefit children by encouraging father-child bonding after a birth and enabling commitments to fathers’ engagement. Yet, no known U.S. studies have directly focused on the associations between paternity leave-taking and children’s reports of father-child relationships. Understanding the potential consequences of paternity leave-taking in the United States is particularly important given the lack of a national paid parental leave policy. The present study uses five waves of data on 1319 families, largely socioeconomically disadvantaged, from the Fragile Families and Child Wellbeing Study to analyze the associations between paternity leave-taking and 9-year-old children’s reports of their father-child relationships. We also assess the extent to which these associations are mediated by fathers’ engagement, co-parenting quality, parental relationship satisfaction, and fathers’ identities. Results indicate that leave-taking, and particularly 2 weeks or more of leave, is positively associated with children’s perceptions of fathers’ involvement, father-child closeness, and father-child communication. The associations are explained, at least in part, by fathers’ engagement, parental relationship satisfaction, and father identities. Overall, results highlight the linked lives of fathers and their children, and they suggest that increased attention on improving opportunities for parental leave in the United States may help to strengthen families by nurturing higher quality father-child relationships.

     

Perceived discrimination is associated with poorer health and well‐being outcomes among Pacific peoples in New Zealand

Our study investigated the association between perceived discrimination and outcomes related to health and well‐being for Pacific adults in New Zealand. We examined personal and group discrimination from the 2013 wave of the New Zealand Attitudes and Values Study (n = 429 women and 196 men). Personal discrimination was associated with poorer health and well‐being outcomes (higher psychological distress and lower self‐esteem, subjective evaluation of health, satisfaction with life and personal well‐being). Group discrimination, in contrast, was associated with poorer well‐being but not health outcomes (lower subjective evaluation of health and personal well‐being). These findings corroborate previous research and highlight the corrosive effect of discrimination towards health and well‐being among Pacific communities in New Zealand.     

Examining abuse in online media

While online spaces and media offer unique possibilities for participating in critical and mundane communication, these also introduce several problems in the form of abuse such as trolling, flaming, or other anti‐social behavior. Social and personality psychologists offer a range of explanations for abusive behavior online. Here we distinguish between explanations that treat online abuse as readily known and consequently proceed with examining possible causes of such abuse, and those that treat abuse as a situated act of communication worth examining in its own right. The latter examines how abuse is accomplished, treated, and negotiated in specific online settings. A central advantage of doing so is that the specifics and details of instances of abuse become amenable to examination and consequently allow for identification of in situ means by which abuse maybe challenged. In taking this approach, online abuse is examined for how it is produced and situated in specific social and interactional settings.     

Remembering changes: repetition effects in face recollection.

Two experiments examined effects of repetition and change on states of awareness in face recognition. Participants studied repeatedly presented photographs of faces, with the second presentation following either immediately after the first presentation (massed repetition) or following six intervening items (spaced repetition). To manipulate perceptual change, each repeated face was either identical or a mirror image of the first presentation. Subsequently, when recognising a face, participants indicated whether they consciously recollected its prior occurrence ("remembering") or recognised it on the basis of familiarity ("knowing"). Changes in appearance between repeated faces enhanced remember, but not know, responses, and these effects were accentuated for spaced, rather than massed, repetition. These findings suggest that distinctiveness of encoding supports the phenomenological experience of conscious remembering.     

On normal theory based inference for multilevel models with distributional violations

Data in social and behavioral sciences are often hierarchically organized though seldom normal, yet normal theory based inference procedures are routinely used for analyzing multilevel models. Based on this observation, simple adjustments to normal theory based results are proposed to minimize the consequences of violating normality assumptions. For characterizing the distribution of parameter estimates, sandwich-type covariance matrices are derived. Standard errors based on these covariance matrices remain consistent under distributional violations. Implications of various covariance estimators are also discussed. For evaluating the quality of a multilevel model, a rescaled statistic is given for both the hierarchical linear model and the hierarchical structural equation model. The rescaled statistic, improving the likelihood ratio statistic by estimating one extra parameter, approaches the same mean as its reference distribution. A simulation study with a 2-level factor model implies that the rescaled statistic is preferable.This research was supported by grants DA01070 and DA00017 from the National Institute on Drug Abuse and a University of North Texas faculty research grant. We would like to thank the Associate Editor and two reviewers for suggestions that helped to improve the paper.     

Concise formulas for the standard errors of component loading estimates

Concise formulas for the asymptotic standard errors of component loading estimates were derived. The formulas cover the cases of principal component analysis for unstandardized and standardized variables with orthogonal and oblique rotations. The formulas can be used under any distributions for observed variables as long as the asymptotic covariance matrix for sample covariances/correlations is available. The estimated standard errors in numerical examples were shown to be equivalent to those by the methods using information matrices.The author is indebted to anonymous reviewers for the corrections and suggestions on this study, which have led to improvements of earlier versions of this article.     

A unified approach to exploratory factor analysis with missing data,nonnormal data,and in the presence of outliers

Factor analysis is regularly used for analyzing survey data. Missing data, data with outliers and consequently nonnormal data are very common for data obtained through questionnaires. Based on covariance matrix estimates for such nonstandard samples, a unified approach for factor analysis is developed. By generalizing the approach of maximum likelihood under constraints, statistical properties of the estimates for factor loadings and error variances are obtained. A rescaled Bartlett-corrected statistic is proposed for evaluating the number of factors. Equivariance and invariance of parameter estimates and their standard errors for canonical, varimax, and normalized varimax rotations are discussed. Numerical results illustrate the sensitivity of classical methods and advantages of the proposed procedures.This project was supported by a University of North Texas Faculty Research Grant, Grant #R49/CCR610528 for Disease Control and Prevention from the National Center for Injury Prevention and Control, and Grant DA01070 from the National Institute on Drug Abuse. The results do not necessarily represent the official view of the funding agencies. The authors are grateful to three reviewers for suggestions that improved the presentation of this paper.