This article is the first to quantify the interindividual effects of different major life events (MLEs) on retrospective perceptions of individual-level linguistic change across the adult lifespan. In this cross-sectional study, 701 German-speaking participants from Austria completed an online survey measuring the extent to which MLEs in the educational, occupational, and personal domain are associated with perceived changes in productive and affective-attitudinal aspects of the sociolinguistic repertoire. Bayesian modeling revealed that events such as beginning a tertiary degree, entry into the workforce, and retirement were perceived to impact participants’ varietal use. Overall, however, affective-attitudinal factors such as dialect identity appear to be more readily susceptible to perceived MLE-related change. These results help pave a new path for variationist agendas that approach lifespan linguistic change not as a result of chronological age, but rather as a phenomenon influenced by individual experiential factors complexly intertwined with the process of aging.

While dialectal variation is often investigated from a geographical angle, there exists substantial variation both within the community and individual. The aim of the present article is to investigate the extent to which spatial, occupational, and age-related factors are associated with the diversity of linguistic variants reported per informant at a given locality. Drawing on colloquial language data from the Atlas zur deutschen Alltagssprache ‘Atlas of Colloquial German,’ we found that informants from southeastern Germany and Austria reported familiarity with more variants. Moreover, we multifactorially operationalize occupational complexity, a variable that can capture the effects of different communicative, technical, and physical skills required in a job (via the Dictionary of Occupational Titles). Bayesian multilevel modeling revealed that informants in occupations involving physical precision work and communicative complexity reported less familiarity with variants, and that younger informants were familiar with a wider range of variants.

This study is the first to investigate subject-level variability in sociolinguistic evaluative judgements by 30 adult L2 German learners and explore whether the observed variability is characterizable as a function of individual differences in proficiency, exposure, and motivation. Because group-level estimates did not paint an accurate picture of the individual, we propose methods capable of integrating population-level estimates with person- and ensemble-centered approaches so as to reconcile generalizability and individuality. Using random effects from Bayesian mixed-effects models, we found that global subject-level variability in evaluative judgements was not predicted by individual differences. By building homogeneous ensembles (i.e., subgroups of individuals with similar evaluative judgements), however, it was possible to assess whether ensembles were characteristic of certain levels of individual differences. This ensemble-centered approach presents an innovative way to address the group-to-individual generalizability issue in cross-sectional data and transcend individual variability in order to make tentative generalizations of individual cases to wider populations.

We present mechanical measurements of the frequency-dependent linear viscoelastic storage and loss moduli, G′(ω) and G″(ω), and the yield stress, τy, and yield strain, γy, for calf thymus DNA (13 kbp) over a range of mitotically relevant concentrations from C DNA = 1 to 10 mg/ml. For large C DNA , we find a dominant plateau elasticity, G′p , at high ω. As ω decreases, G′ falls until it is equal to G′ at the crossover frequency, ωc , below which G″ dominates. We measure G′p ∼ C DNA 2.25 and ωc ∼ C DNA −2.4, consistent with scaling exponents for classical polymer solutions. The mechanical |G*(ω)| agree well with those measured using a new microrheological technique based on video tracking microscopy of thermally-driven fluorescent colloidal spheres and a frequency-dependent Stokes-Einstein equation. We have developed this technique to probe how enzymes, typically available in small quantities, can affect the rheology of the DNA. Using it, we report preliminary measurements of a higher ωc for a DNA network in which the ATP-powered enzyme Topoisomerase II transiently cuts and rebinds the DNA, thereby relaxing entanglements.