American Sociological Association

Search

Search

The search found 31 results in 0.024 seconds.

Search results

  1. Using Identity Processes to Understand Persistent Inequality in Parenting

    Despite growing acceptance of a "new fatherhood" urging fathers to be engaged in family life, men’s relative contributions to housework and child care have remained largely stagnant over the past twenty years. Using data from in-depth interviews, we describe how identity processes may contribute to this persistent inequality in parenting. We propose that the specificity of men’s identity standards for the father role is related to role-relevant behavior, and that the vague expectations many associate with "new fatherhood" both contribute to and result from men’s underinvolvement.

  2. When Too Much Integration and Regulation Hurts: Reenvisioning Durkheims Altruistic Suicide

    Durkheim’s model of suicide famously includes four types: anomic, egoistic, altruistic, and fatalistic suicides; however, sociology has primarily focused on anomic and egoistic suicides and neglected suicides predicated on too much integration or regulation. This article addresses this gap. We begin by elaborating Durkheim’s concepts of integration and regulation using insights from contemporary social psychology, the sociology of emotions, and cultural sociology.

  3. The Association between Education and Mortality for Adults with Intellectual Disability

    Journal of Health and Social Behavior, Volume 58, Issue 1, Page 70-85, March 2017.
  4. On the Weak Mortality Returns of the Prison Boom: Comparing Infant Mortality and Homicide in the Incarceration Ledger

    The justifications for the dramatic expansion of the prison population in recent decades have focused on public safety. Prior research on the efficacy of incarceration offers support for such claims, suggesting that increased incarceration saves lives by reducing the prevalence of homicide. We challenge this view by arguing that the effects of mass incarceration include collateral infant mortality consequences that call into question the number of lives saved through increased imprisonment.
  5. Race Differences in Linking Family Formation Transitions to Women’s Mortality

    We examine how the timing and sequencing of first marriage and childbirth are related to mortality for a cohort of 4,988 white and black women born between 1922 and 1937 from the National Longitudinal Survey of Mature Women. We use Cox proportional hazard models to estimate race differences in the association between family formation transitions and mortality. Although we find no relationships between marital histories and longevity, we do find that having children, the timing of first birth, and the sequencing of childbirth and marriage are associated with mortality.
  6. Nonlinear Autoregressive Latent Trajectory Models

    Autoregressive latent trajectory (ALT) models combine features of latent growth curve models and autoregressive models into a single modeling framework. The development of ALT models has focused primarily on models with linear growth components, but some social processes follow nonlinear trajectories. Although it is straightforward to extend ALT models to allow for some forms of nonlinear trajectories, the identification status of such models, approaches to comparing them with alternative models, and the interpretation of parameters have not been systematically assessed.
  7. Comment: Bayes, Model Uncertainty, and Learning from Data

    The problem of model uncertainty is a fundamental applied challenge in quantitative sociology. The authors’ language of false positives is reminiscent of Bonferroni adjustments and the frequentist analysis of multiple independent comparisons, but the distinct problem of model uncertainty has been fully formalized from a Bayesian perspective.
  8. We Ran 9 Billion Regressions: Eliminating False Positives through Computational Model Robustness

    False positive findings are a growing problem in many research literatures. We argue that excessive false positives often stem from model uncertainty. There are many plausible ways of specifying a regression model, but researchers typically report only a few preferred estimates. This raises the concern that such research reveals only a small fraction of the possible results and may easily lead to nonrobust, false positive conclusions. It is often unclear how much the results are driven by model specification and how much the results would change if a different plausible model were used.
  9. Comparing Regression Coefficients Between Same-sample Nested Models Using Logit and Probit: A New Method

    Logit and probit models are widely used in empirical sociological research. However, the common practice of comparing the coefficients of a given variable across differently specified models fitted to the same sample does not warrant the same interpretation in logits and probits as in linear regression. Unlike linear models, the change in the coefficient of the variable of interest cannot be straightforwardly attributed to the inclusion of confounding variables. The reason for this is that the variance of the underlying latent variable is not identified and will differ between models.

  10. Text Analysis with JSTOR Archives

    I provide a visual representation of keyword trends and authorship for two flagship sociology journals using data from JSTOR’s Data for Research repository. While text data have accompanied the digital spread of information, it remains inaccessible to researchers unfamiliar with the required preprocessing. The visualization and accompanying code encourage widespread use of this source of data in the social sciences.