Where are the children? Exploring the boundaries between text and context in the study of place and space in four different countries

In this article, we demonstrate how the cultural conceptions of a team of five researchers from different cultural and national backgrounds can be used as a source of knowledge during a collective, self‐reflexive analytical process. While collectively analysing texts describing daily life produced by first‐grade children and their parents in China, Norway, South Africa and the United States, the research team engaged in a collectively negotiated analytical process, which we refer to as an ‘analytic negotiating method’. The strength of this process rests on the ability to examine critically the boundaries between the researcher's contextual conceptions and conceptions derived from the texts. Engaging in this kind of negotiated analytical process contributes to scholarship by working towards a level of self‐reflexivity that makes the link between empirical data and researcher interpretation more transparent and produces a sensitivity to context that allows insights into the conceptions of childhood that operate cross‐culturally.     

Exploring analytical trustworthiness and the process of reaching consensus in interpretative phenomenological analysis: lost in transcription

Typically authors explain how they conduct interpretative phenomenological analysis (IPA), but fail to explain how they ensured that their analytical process was trustworthy. For example, a minority mention that they ‘reached consensus’ after having engaged in a shared analysis of the data, but do not explain how they did so. In this article, we report on our experience of engaging in a shared analysis and aim to stimulate discussion about the process of ensuring the trustworthiness of one’s data when employing IPA. Our key recommendation is that all researchers involved in analysis should listen to the audio recordings; failure to do so increases the potential for researchers to superimpose their own presuppositions or interpretative bias onto the data. We also suggest that audio recordings should be kept for a longer duration in case secondary analysis is required. We finish our article with a series of tips developed from our experience of shared analysis.     

Using Community Members to Collect Observational Data: Observer Training and Data Quality Assessment

ABSTRACT

This article highlights a structured approach to preparing community members for observational data collection in participatory research. Providing training related to the items that will be observed and conducting post-training assessments of observer accuracy and interrater reliability provides researchers with a measure of observer readiness to collect data. In addition, reassessing observer accuracy and interrater reliability at the end of data collection offers a measure of confidence in the data collection process. Discussion of this approach includes addressing survey items with low observer percentage agreement scores and training and evaluation strategies for intermittent and extended data collection periods.     

DYNAMIC TREATMENT EFFECTS OF TEACHER'S AIDES IN AN EXPERIMENT WITH MULTIPLE RANDOMIZATIONS

Using data from a large‐scale two‐stage experiment wherein students and teachers were randomized at both kindergarten entry and first grade to be sorted into classes either with or without full‐time teacher's aides, I estimate an econometric model that is uniquely suited to take advantage of this design to determine their effect on academic achievement. The identification strategy produces fully nonparametric dynamic average treatment effects for every treatment path. I find that the use of full‐time teacher's aides increases student achievement, but the benefits appear to accrue mostly to those of higher socioeconomic status and to White students. A cost‐benefit analysis shows that full‐time teacher's aides may be a competitive alternative to class size reductions in terms of net social benefits. (JEL I21, I28)     

Re-approaching interview data through qualitative secondary analysis: interviews with internet gamblers

ABSTRACT

This paper addresses two interrelated questions concerning what interview data are and how researchers might use them. The first considers the value of a shift from a predominant or exclusive focus upon how data are constructed and produced at interview, and towards how such data might be apprehended through different forms of engagement. The second question relates to how and what qualitative secondary analysis (QSA) might be used to tell about the social world. In exploring this, we advance a critique of the divide between primary and secondary analysis, recasting the debate in terms of different degrees and qualities of ‘proximity’ and ‘distance’ from the formative contexts of data generation, and the distinctive analytical affordances that relate to these. Using QSA of interview data from a study of problem internet gambling as an empirical crucible, we consider the kinds of participation that interviewees develop through reciprocal engagement with interviewers. We illustrate how participants reflexively negotiate the affordances and limits to the narratives through which they frame and recount their experiences. Finally, we show how interview data can be used both to speak of the temporal, relational, spatial, epistemic contexts of their production, and also to contexts and questions beyond these.     

Women Underrepresentation in R&I: A Sector Program Assessment of the Contribution of Gender Equality Policies in Research and Innovation

Despite decades of efforts to achieve gender equality in research and innovation (R&I), all EU member states still face remarkable difficulties in driving forward the development of their innovation system while at the same time improving gender equality by using all the available research potential. In this paper we focus on the development of the share of women researchers in four national innovation systems, i.e. in Austria, Denmark, Hungary and Spain in the time period 2005-2015. The four selected cases represent countries with significant differences in their innovation capacity, gender regimes and progress of gender equality in R&I. A qualitative comparative analysis (QCA) is carried out to conduct a sector program evaluation based on statistical data and qualitative studies to understand the dynamic development of the proportion of women researchers. The study aims to provide insights into the aggregated gender equality interventions and policies implemented in the four countries studied and their contributions to the development of the proportion of women scientists at the structural level. The analysis reveals that the development of the share of women researchers during the studied period has been particularly influenced by contextual factors, namely the relative size of the business enterprise sector and the share of women among holders of tertiary education. While this is the case, it is found that gender equality interventions need to be more widespread and more effectively designed to be a strong contributing factor to an increasing representation of women in R&I.     

Are They Not Worthy? How Partisan Political Blogs Legitimize the Tea Party Movement and Occupy Wall Street

Social movements struggle to gain acceptance as legitimate actors so that they can raise money, recruit members, and convince politicians to meet their demands. We know little, however, about how this legitimacy is granted by various political authorities, in part because legitimacy is often poorly operationalized. To operationalize legitimacy, I revise Charles Tilly's ( 1999 ) classic concept of WUNC displays (i.e., public presentations of worthiness, unity, numbers, commitment) to assess how political authorities legitimize social movements. I analyze original data on the coverage the Tea Party and Occupy Wall Street received from 20 elite political blogs during a critical event early in each movement's development. I find that liberal and conservative blogs both use the same aspects of worthiness (and not unity, numbers, or commitment) to endorse their preferred movement but different aspects of unworthiness to denounce the movement they opposed. Conservative outlets were more partisan on both accounts. This suggests that these blogs' shared status as distinctly partisan political outsiders produces a similar, but not identical, relationship with social movements. While both sets of blogs legitimize and delegitimize a movement based on its specific strengths and weaknesses, conservative blogs act more as a partisan bullhorn and liberal blogs act more as a forum for debate.     

Feminist Methodology in Social Movements Research

Feminist social scientists have developed distinctive principles of inquiry that depart from the positivist ideal of the detached, value-free scientist and are consistent with the feminist goal of rendering women's experiences visible and challenging gender inequality. In this article, I show how my research on the postpartum depression self-help movement illustrates five features of feminist methodology: a gender perspective, accentuation of women's experiences, reflexivity, participatory methods, and social action. My intent is to demonstrate how attention to the epistemological and methodological questions posed by feminist researchers produces new standards of evidence that allow us to recognize the gendering of social movement processes and theory.     

Grounded Theory Methods and Qualitative Family Research

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Using Secondary Data for Grounded Theory Analysis

Abstract

Grounded theory is well utilised in qualitative research for building theoretical understanding of complex social processes. Grounded theory data analysis strategies can be used with different types of data, including secondary data. Despite the potential advantages of secondary data, it is rarely used for grounded theory studies, largely due to a perception that researchers are unable to follow the guidelines of this research design with data that they themselves have not collected. This paper demonstrates the use of secondary data in a study investigating the substantive area of Indigenous empowerment. Potential pitfalls and advantages of using grounded theory methods to analyse secondary data are discussed, as well as factors that facilitated the analytic process in this study. These factors included having a large data set across multiple sites and the use of literature as a source of data. The findings provide a valuable model for combining research and practise.     

Institutional Ethnography and Experience as Data

Experience, as concept, is contested among feminists as to its epistemological status, thus its usefulness in knowledge claims. Institutional ethnography (Smith 1987) is a feminist methodology that nonetheless relies fundamentally on people's experience. Not as Truth, nor the object of inquiry, but as thepoint d'appui for sociological inquiry. This article offers a demonstration of institutional enthnography using observational and interview data that show experience as methodologically central to a trustworthy analysis. A moment in the work lives of nursing assistants in a long-term care setting is captured by a participant observer. The analysis produces two lines of argument. One is methodological; it is argued that nursing assistants' experiences are an entry into the social relations of the setting that, when mapped and disclosed, make those experiences understandable in terms of the ruling arrangements permeating both the organization and their own experiences. The other argument is substantive; the inquiry uncovers how a quality improvement' strategy in a long term care hospital in Canada is reorganizing caregivers' values and practices toward a market orientation in which care appears to be compromised. Use of experience as data in this approach holds the analysis accountable to everyday/everynight actualities in a lived world.     

Cross-Cultural Judgments of Spontaneous Facial Expressions of Emotion

We report data concerning cross-cultural judgments of emotion in spontaneously produced facial expressions. Americans, Japanese, British, and International Students in the US reliably attributed emotions to the expressions of Olympic judo athletes at the end of a match for a medal, and at two times during the subsequent medal ceremonies. There were some observer culture differences in absolute attribution agreement rates, but high cross-cultural agreement in differences in attribution rates across expressions (relative agreement rates). Moreover, we operationalized signal clarity and demonstrated that it was associated with agreement rates similarly in all cultures. Finally, we obtained judgments of won-lost match outcomes and medal finish, and demonstrated that the emotion judgments were associated with accuracy in judgments of outcomes. These findings demonstrated that members of different cultures reliably judge spontaneously expressed emotions, and that across observer cultures, lower absolute agreement rates are related to noise produced by non-emotional facial behaviors. Also, the findings suggested that observers of different cultures utilize the same facial cues when judging emotions, and that the signal value of facial expressions is similar across cultures.     

Network sampling coverage II: The effect of non-random missing data on network measurement

Missing data is an important, but often ignored, aspect of a network study. Measurement validity is affected by missing data, but the level of bias can be difficult to gauge. Here, we describe the effect of missing data on network measurement across widely different circumstances. In Part I of this study (Smith and Moody, 2013), we explored the effect of measurement bias due to randomly missing nodes. Here, we drop the assumption that data are missing at random: what happens to estimates of key network statistics when central nodes are more/less likely to be missing? We answer this question using a wide range of empirical networks and network measures. We find that bias is worse when more central nodes are missing. With respect to network measures, Bonacich centrality is highly sensitive to the loss of central nodes, while closeness centrality is not; distance and bicomponent size are more affected than triad summary measures and behavioral homophily is more robust than degree-homophily. With respect to types of networks, larger, directed networks tend to be more robust, but the relation is weak. We end the paper with a practical application, showing how researchers can use our results (translated into a publically available java application) to gauge the bias in their own data.     

Export Performance,Labor Standards and Institutions: Evidence from a Dynamic Panel Data Model

I investigate the role of labor standards in international trade. While the literature has used many different measures of labor standards, I use two: the rate of work injuries and the rate of strikes and lockouts — allowing me to construct both measures for 112 countries from 1980 until 2004. This allows dynamic panel data methods to be used in estimation. Three measures of the quality of institutions are also used for the same period: the number of years the chief executive is in office, the concentration of a country’s legislature measured by the Herfindahl-Hirschman Index, and whether the legislature is controlled by a party representing a special interest. The results show that countries with better labor standards and institutions do trade more — their exports to GDP ratio is higher.     

Testing a Sociological Explanation for Rising Rates of White Mortality

This article is a response to Young's (2016) essay on high white death rates in Kansas. I argue that a focus on external causes would further help researchers theorize about how and why certain behavioral factors link declining white populations to various mortality changes. Additional work that examines changing mortality patterns by sex and race and that extends analyses to the entire nation will provide further tests of Young's thesis. In this context, I encourage researchers to consider how intergenerational comparisons and cohort effects may produce some of the observed patterns.     

Street trees and rural conspecifics: Will long-lived trees reach full size in urban conditions?

Urban conditions are known to affect tree growth, but not all trees respond similarly to presumed stress. I test a hypothesis that successional status of hardwood tree species, rather than taxon, will differentially affect tree size relative to age, in forest versus street plantings. In central Ohio, USA, samples (N = 230) representing 15 native tree species were matched for size between rural woodlot and city street-side conditions. Their girth was measured and their age determined by a count of annual growth rings. Age and size data were analyzed by a general linear model. Most urban trees had smaller trunk diameters than rural conspecifics of the same age. However, trees of early and mid-successional ecologies, despite smaller girth, showed no reduction in growth rate over time. Late successional species appeared to be affected by proximity to impervious areas, showing reduced growth rates, and by inference,reduced ultimate size.     

Couch the Bricoleur: Using Ethnographic and Laboratory Traditions to Establish Data Careers

Carl Couch reinvigorated the Iowa School of Symbolic Interaction by combining the theoretical and methodological tenets of ethnography and laboratory science. He thus resembled a bricoleur, or researcher who masters several seemingly diverse practices in order to create a seamless whole. Couch's new Iowa School also produced a bricolage, or a sum total of research findings, that I call a data career. This article pays tribute to Couch the bricoleur and his bricolage by elaborating on his data career and discussing how he created ethnographies in the laboratory. I further link the notions of bricoleur, data careers, and ethnographies in the laboratory with Couch's democratic vision. I contextualize this vision in light of a particular representative-constituent study (RCS) which served as a metaphor for Couch's pragmatic outlook.     

Gender Differences in Marital Satisfaction: A Meta‐analysis

The purpose of the present meta‐analysis was to empirically test the widely held assumption that women experience lower marital satisfaction than men. A total of 226 independent samples with a combined sum of 101,110 participants were included in the meta‐analysis. Overall results indicated statistically significant yet very small gender differences in marital satisfaction between wives and husbands, with wives slightly less satisfied than husbands; moderator analyses, however, indicated that this difference was due to the inclusion of clinical samples, with wives in marital therapy 51% less likely to be satisfied with their marital relationship than their husbands. The effect size for nonclinical community‐based samples indicated no significant gender differences among couples in the general population. Additional moderator analyses indicated that there were also no gender differences when the levels of marital satisfaction of husbands and wives in the same relationship (i.e., dyadic data) were compared.     

WAGES,EMPLOYMENT, AND STATISTICAL DISCRIMINATION: EVIDENCE FROM THE LABORATORY

We report results from laboratory experiments designed to examine statistical discrimination. Our design expands upon existing research by generating data both on wage contracts and unemployment rates of directly competing worker groups. We find some evidence for statistical wage discrimination against workers having an identical expected productivity but a higher productivity variance. However, those same subjects are less likely to be unemployed, suggesting that our employer‐subjects view hiring choice and wage contracts as substitutable. A clear implication is that field data discrimination estimates based on wages alone may overestimate the true impact of such discrimination. (JEL C90, J71)     

Breaking silence: Some fieldwork strategies in cloistered and non-cloistered communities

This paper deals with some of the linguistic difficulties I encountered during fieldwork conducted among cloistered and non-cloistered communities of Roman Catholic nuns. I illustrate here the necessity for taking both active and passive research modes—that is, moving from observer to participant and back—in order to counteract problems related to interaction styles, lack of language, meaning inversions, and silence as a mode of communication. These problems represent a continuum—a progression from least to most problematical in terms of the connection between researcher and researched. I argue that by adopting a stance appropriate to the groups being studied—that is, by using both active and passive research strategies with equal rigor—many linguistic barriers can not only be overcome, but usedas sources of important data.