Do you like school? Social class, gender, ethnicity and pupils' educational enjoyment.

This study investigates structural inequalities in educational enjoyment in a contemporary cohort of United Kingdom (UK) primary school children. Foundational studies in the sociology of education consistently indicate that the enjoyment of education is stratified by social class, gender, and ethnicity. Analysing data from the UK Millennium Cohort Study, which is a major cohort study that tracks children born at the start of the 21st century, we examine children's enjoyment of both school and individual academic subject areas. The overarching message is that at age 11 most children enjoy their education. The detailed empirical analyses indicate that educational enjoyment is stratified by gender, and there are small differences between ethnic groups. However, there is no convincing evidence of a social class gradient. These results challenge orthodox sociological views on the relationship between structural inequalities and educational enjoyment, and therefore question the existing theoretical understanding of the wider role of enjoyment in education.

Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty.

This study explores how researchers' analytical choices affect the reliability of scientific findings. Most discussions of reliability problems in science focus on systematic biases. We broaden the lens to emphasize the idiosyncrasy of conscious and unconscious decisions that researchers make during data analysis. We coordinated 161 researchers in 73 research teams and observed their research decisions as they used the same data to independently test the same prominent social science hypothesis: that greater immigration reduces support for social policies among the public. In this typical case of social science research, research teams reported both widely diverging numerical findings and substantive conclusions despite identical start conditions. Researchers' expertise, prior beliefs, and expectations barely predict the wide variation in research outcomes. More than 95% of the total variance in numerical results remains unexplained even after qualitative coding of all identifiable decisions in each team's workflow. This reveals a universe of uncertainty that remains hidden when considering a single study in isolation. The idiosyncratic nature of how researchers' results and conclusions varied is a previously underappreciated explanation for why many scientific hypotheses remain contested. These results call for greater epistemic humility and clarity in reporting scientific findings.

An investigation of social class inequalities in general cognitive ability in two British birth cohorts.

The 'Flynn effect' describes the substantial and long-standing increase in average cognitive ability test scores, which has been observed in numerous psychological studies. Flynn makes an appeal for researchers to move beyond psychology's standard disciplinary boundaries and to consider sociological contexts, in order to develop a more comprehensive understanding of cognitive inequalities. In this article we respond to this appeal and investigate social class inequalities in general cognitive ability test scores over time. We analyse data from the National Child Development Study (1958) and the British Cohort Study (1970). These two British birth cohorts are suitable nationally representative large-scale data resources for studying inequalities in general cognitive ability. We observe a large parental social class effect, net of parental education and gender in both cohorts. The overall finding is that large social class divisions in cognitive ability can be observed when children are still at primary school, and similar patterns are observed in each cohort. Notably, pupils with fathers at the lower end of the class structure are at a distinct disadvantage. This is a disturbing finding and it is especially important because cognitive ability is known to influence individuals later in the lifecourse.

The role of administrative data in the big data revolution in social science research.

The term big data is currently a buzzword in social science, however its precise meaning is ambiguous. In this paper we focus on administrative data which is a distinctive form of big data. Exciting new opportunities for social science research will be afforded by new administrative data resources, but these are currently under appreciated by the research community. The central aim of this paper is to discuss the challenges associated with administrative data. We emphasise that it is critical for researchers to carefully consider how administrative data has been produced. We conclude that administrative datasets have the potential to contribute to the development of high-quality and impactful social science research, and should not be overlooked in the emerging field of big data.

Dementia knowledge and attitudes of the general public in Northern Ireland: an analysis of national survey data.

BACKGROUND: This paper provides an overview of the findings from the dementia module of the 2010 Northern Ireland Life and Times (NILT) Survey: an annual survey recording public attitudes to major social policy issues. Northern Ireland, in line with many other developed countries, recently released a Dementia Strategy. The opportunity to explore the knowledge and attitudes of the general public to dementia at a national level in Northern Ireland is timely and valuable. This paper reports on an initial exploration of these attitudes, based on bivariate analysis across demographic groups. METHODS: Data were analyzed using SPSS (Version 19). Descriptive and summary statistics were produced. A series of categorical bivariate relationships were tested (chi-square) and tests of association (Cramer's V) were reported. We discuss both knowledge-related findings and attitudinal findings. RESULTS: We found that the general public in Northern Ireland have a reasonably good level of knowledge about dementia. However, attitudinal measures indicate the stereotyping and infantilization of people with dementia. CONCLUSIONS: This NILT module provides a unique source of data on attitudes to, and knowledge of, dementia. A key strength is that it provides statistically representative data with national level coverage. This information can be used to target public health education policies more effectively and to inform delivery of health and social services. The success of the module leads us to believe that it stands as a blue-print for collecting information on dementia in other social surveys.

Moving and union dissolution.

This paper examines the effect of migration and residential mobility on union dissolution among married and cohabiting couples. Moving is a stressful life event, and a large, multidisciplinary literature has shown that family migration often benefits one partner (usually the man) more than the other Even so, no study to date has examined the possible impact of within-nation geographical mobility on union dissolution. We base our longitudinal analysis on retrospective event-history data from Austria. Our results show that couples who move frequently have a significantly higher risk of union dissolution, and we suggest a variety of mechanisms that may explain this.

The '3Rs' model and the concept of alternatives in animal research: a questionnaire survey.

It has been 45 years since Russell and Burch first proposed the concept of the '3Rs', yet it remains unclear how those individuals involved in animal research view and implement these concepts. The authors used a questionnaire survey to determine how well-known experts judged issues related to the 3Rs.