Learning to Labour: How Working Class Kids Get Working Class Jobs

Microsociology: Discourse, Emotion, and Social Structure

This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.

/pdf/covidistress-global-survey-dataset-on-psychological-and-2v3xcsawg6.pdf

COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak.

The COVIDiSTRESS global survey collects data on early human responses to the 2020 COVID-19 pandemic from 173 429 respondents in 48 countries. The open science study was co-designed by an international consortium of researchers to investigate how psychological responses differ across countries and cultures, and how this has impacted behaviour, coping and trust in government efforts to slow the spread of the virus. Starting in March 2020, COVIDiSTRESS leveraged the convenience of unpaid online recruitment to generate public data. The objective of the present analysis is to understand relationships between psychological responses in the early months of global coronavirus restrictions and help understand how different government measures succeed or fail in changing public behaviour. There were variations between and within countries. Although Western Europeans registered as more concerned over COVID-19, more stressed, and having slightly more trust in the governments' efforts, there was no clear geographical pattern in compliance with behavioural measures. Detailed plots illustrating between-countries differences are provided. Using both traditional and Bayesian analyses, we found that individuals who worried about getting sick worked harder to protect themselves and others. However, concern about the coronavirus itself did not account for all of the variances in experienced stress during the early months of COVID-19 restrictions. More alarmingly, such stress was associated with less compliance. Further, those most concerned over the coronavirus trusted in government measures primarily where policies were strict. While concern over a disease is a source of mental distress, other factors including strictness of protective measures, social support and personal lockdown conditions must also be taken into consideration to fully appreciate the psychological impact of COVID-19 and to understand why some people fail to follow behavioural guidelines intended to protect themselves and others from infection. The Stage 1 manuscript associated with this submission received in-principle acceptance (IPA) on 18 May 2020. Following IPA, the accepted Stage 1 version of the manuscript was preregistered on the Open Science Framework at https://osf.io/g2t3b. This preregistration was performed prior to data analysis.

/pdf/stress-and-worry-in-the-2020-coronavirus-pandemic-1pe8h07b27.pdf

Stress and worry in the 2020 coronavirus pandemic: relationships to trust and compliance with preventive measures across 48 countries in the COVIDiSTRESS global survey

Somatic assembly of T cell receptor and B cell receptor (BCR) genes produces a vast diversity of lymphocyte antigen recognition capacity. The advent of efficient high-throughput sequencing of lymphocyte antigen receptor genes has recently generated unprecedented opportunities for exploration of adaptive immune responses. With these opportunities have come significant challenges in understanding the analysis techniques that most accurately reflect underlying biological phenomena. In this regard, sample preparation and sequence analysis techniques, which have largely been borrowed and adapted from other fields, continue to evolve. Here, we review current methods and challenges of library preparation, sequencing and statistical analysis of lymphocyte receptor repertoire studies. We discuss the general steps in the process of immune repertoire generation including sample preparation, platforms available for sequencing, processing of sequencing data, measurable features of the immune repertoire, and the statistical tools that can be used for analysis and interpretation of the data. Because BCR analysis harbors additional complexities, such as immunoglobulin (Ig) (i.e., antibody) gene somatic hypermutation and class switch recombination, the emphasis of this review is on Ig/BCR sequence analysis.

/pdf/analyzing-immunoglobulin-repertoires-2diimy1s7b.pdf

Analyzing Immunoglobulin Repertoires.

Chi-square statistics are commonly used for tests of fit of measurement models. Chi-square is also sensitive to sample size, which is why several approaches to handle large samples in test of fit analysis have been developed. One strategy to handle the sample size problem may be to adjust the sample size in the analysis of fit. An alternative is to adopt a random sample approach. The purpose of this study was to analyze and to compare these two strategies using simulated data. Given an original sample size of 21,000, for reductions of sample sizes down to the order of 5,000 the adjusted sample size function works as good as the random sample approach. In contrast, when applying adjustments to sample sizes of lower order the adjustment function is less effective at approximating the chi-square value for an actual random sample of the relevant size. Hence, the fit is exaggerated and misfit under-estimated using the adjusted sample size function. Although there are big differences in chi-square values between the two approaches at lower sample sizes, the inferences based on the p-values may be the same.

Chi-Squared Test of Fit and Sample Size-A Comparison between a Random Sample Approach and a Chi-Square Value Adjustment Method.

(1) Background: Significance tests are commonly sensitive to sample size, and Chi-Squared statistics is not an exception. Nevertheless, Chi-Squared statistics are commonly used for test of fit of m ...

Sample size and Chi-Squared test of fit : A comparison between a random sample approach and a Chi-Square value adjustment method using Swedish adolescent data

Background: The purpose of this study was to analyse the connection between two types of social relations in school (to peers and to teachers) and psychosomatic health complaints among adolescents ...

/pdf/social-relations-in-school-and-psychosomatic-health-among-1bhsp59mni.pdf

Social relations in school and psychosomatic health among Swedish adolescents : the role of academic orientation

Aim: This study investigates the association between two types of social relations during leisure time (to parents and peers) and the frequency of alcohol use among Swedish adolescents, taking poss ...

Parental monitoring, peer activities and alcohol use: a study based on data on Swedish adolescents.

The Civic Culture by Gabriel Almond and Sidney Verba is a path-breaking work within political science. Although The Civic Culture still provides inspiration for studies, new approaches to political culture have identified alternative citizen orientations that may be replacing the value orientations identified at the time. The more recent studies have examined specific attitudes such as political trust, party identification, and political efficacy or types of political subcultures such as critical citizens, stealth citizens or disenchanted citizens. These studies provide insights into the developments of specific attitudinal orientations, but do not discern the mix of political orientations among the population, which The Civic Culture suggests is central for democratic stability. The implications of these changes for the composition of political cultures are therefore still unknown. In this article, we, as suggested by The Civic Culture, examine the composition of political cultures to shed new light on the differences in political culture between old and new democracies. We use the fourth round of the European Social Survey to examine this question in 25 European democracies. The results suggest that there is a need to revise some of the main conclusions of The Civic Culture when it comes to the connection between political culture and democratic stability. Although civic citizens are widespread in old democracies, there is no single political culture sustaining a stable democracy. We also find considerable heterogeneity in the composition of the political cultures within old and new democracies alike, suggesting that there may be considerable variation in the cultural conditions for creating a stable democracy.

The Composition of Political Culture—A Study of 25 European Democracies

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