Using peer‐interviewing methods to explore place‐based disadvantage: dissolving the distance between suits and civilians

Collaborative and participatory research methods reflect ideals to undertake research in consultation and partnership with communities and to advance community empowerment and capacity. They offer ethical and practical approaches for conducting research addressing socioeconomic and health disparities particularly in marginalised or vulnerable communities. Peer‐interviewing is one such participatory strategy employed in studies involving hard‐to‐reach populations. However, while the value of peer‐interviewing for researchers is noted in the methodological literature, there are few discussions that critically examine the benefits and challenges of using peer‐researcher approaches, either for the interviewers themselves or the communities they represent. This study reports the findings from a qualitative study that explored the experiences of peer‐interviewers who were involved in undertaking community surveys of residents in the socioeconomically disadvantaged neighbourhoods in which they lived. We discuss the benefits and challenges that participants reported from their involvement.     

Maculate Conceptions: Power,Process, and Creativity in Participatory Research

Justifiably concerned about power dynamics between researchers and participants in participatory research, much of the literature proposes guidelines for including participant voices at every step of the research process. We find these guidelines insufficient for dealing with constraints set up by the social organizational structures in which researchers and participants find themselves. We argue that the process of building relationships between scientists and farmers is unavoidably imperfect, but nonetheless necessary and rewarding. We contend that the potential problems of participatory research originate more from the social organizational structures in which it takes place than in failure to follow particular rules. By acknowledging these structures and the resultant interests of participant and researcher we can make room for the messy reality of negotiating participatory relationships. We suggest that transformative engagement can be born of what we term the “maculate conceptions” of dialogic process and the building of mutual trust.     

Sampling Richness and Qualitative Integrity: Challenges for Research With Families

Sampling is one of the most difficult and contentious aspects of qualitative research design. There are few guidelines for sampling decisions or for understanding saturation in qualitative family research. The authors frame the problematic of data quality in the selection of units of analysis and observation and consider how to enhance sample richness. They outline considerations for data quantity and sample size as well as case‐ and variable‐based approaches. With multiple examples from recent and classic studies to illustrate the consequences of sampling decisions, they explore links between saturation and validity. Finally, they encourage researchers to craft a coherent statement on qualitative integrity to demonstrate how their sampling decisions are rooted in epistemology, theory, and richness and quality of data.     

Can sample size in qualitative research be determined a priori?

There has been considerable recent interest in methods of determining sample size for qualitative research a priori, rather than through an adaptive approach such as saturation. Extending previous literature in this area, we identify four distinct approaches to determining sample size in this way: rules of thumb, conceptual models, numerical guidelines derived from empirical studies, and statistical formulae. Through critical discussion of these approaches, we argue that each embodies one or more questionable philosophical or methodological assumptions, namely: a naïve realist ontology; a focus on themes as enumerable ‘instances’, rather than in more conceptual terms; an incompatibility with an inductive approach to analysis; inappropriate statistical assumptions in the use of formulae; and an unwarranted assumption of generality across qualitative methods. We conclude that, whilst meeting certain practical demands, determining qualitative sample size a priori is an inherently problematic approach, especially in more interpretive models of qualitative research.     

A Research Note on Canada's LGBT Data Landscape: Where We Are and What the Future Holds

There is a growing international literature on the lives of lesbian, gay, bisexual, and transgender (LGBT) individuals. One of the biggest limitations for researchers in this field continues to be the dearth of population‐based surveys that include questions on sexual orientation, gender identity, and high‐quality demographic, health, social, political, or economic variables. This research note provides an overview of the current LGBT data landscape in Canada. We start with some of the challenges for researchers studying the LGBT community, including issues of sample size, measurement, response bias, and concealment. Next, we provide an overview of Canadian surveys that include questions on sexual orientation and/or gender identity, including the strengths and weaknesses of each. We end with a brief discussion on newly available administrative data and provide recommendations for researchers and policymakers moving forward.     

Intercounty Variability of Net Migration at Older Ages as a Path‐Dependent Process

This article seeks to identify factors associated with the formation and development of nonmetropolitan destinations for older in‐migration, thereby explaining why some U.S. counties are more likely than others to be nonmetro retirement destinations. We contend that most nonmetro retirement destinations are established and developed over time through a path‐dependent process. When amenities are commodified as recreation and tourism, migration streams tend to be established that ultimately produce sustained in‐migration of older persons to selected destination communities. We use data from a variety of official sources and a spatial statistics methodology to examine intercounty variability in net migration rates at ages 60–74. Our findings are consistent with the aforementioned path‐dependent development framework. Counties with a long history of population growth, previous experience attracting older in‐migrants, attractive natural amenities, and a developed recreation and tourism industry are those most likely to be retirement‐age migration destinations. In contrast, agricultural heartland and relatively large population size are associated with lower rates of older in‐migration. Older in‐migration should be seen as neither a panacea for strapped rural communities nor a “pensions and care issue.” Older migrants can be “gray gold,” but they can also pose challenges, such as possibly increased demand for public services as they age in place.     

A Methodological Review of Exploratory Factor Analysis in Sexuality Research: Used Practices,Best Practices,and Data Analysis Resources

Sexuality researchers frequently use exploratory factor analysis (EFA) to illuminate the distinguishable theoretical constructs assessed by a set of variables. EFA entails a substantive number of analytic decisions to be made with respect to sample size determination, and how factors are extracted, rotated, and retained. The available analytic options, however, are not all equally empirically rigorous. We discuss the commonly available options for conducting EFA and which options constitute best practices for EFA. We also present the results of a methodological review of the analytic options for EFA used by sexuality researchers in more than 200 EFAs, published in more than 160 articles and chapters from 1974 to 2014, in a sample of sexuality research journals. Our review reveals that best practices for EFA are actually those least frequently used by sexuality researchers. We introduce freely available analytic resources to help make it easier for sexuality researchers to adhere to best practices when conducting EFAs in their own research.     

Creative and visual methods for exploring identities

There seems to be a growing interest in Europe in the use of visual methodologies within social research – studies in which participants are asked to make creative artefacts within the research process. Although readers of Visual Studies will already be familiar with techniques such as photo‐elicitation, the use of video, drawing, collage, Lego and other methods remains somewhat new. At conferences we find that people are interested to hear about this work, but are also puzzled about various issues, such as how researchers can use and interpret such visual artefacts. After a train journey in which we talked through various aspects of work in this field, we felt it might be of some use to interested researchers and students if we published a dialogue about it.     

Random sampling of alters from networks: A promising direction in egocentric network research

The social network perspective has great potential for advancing knowledge of social mechanisms in many fields. However, collecting egocentric (i.e., personal) network data is costly and places a heavy burden on respondents. This is especially true of the task used to elicit information on ties between network members (i.e., alter-alter ties or density matrix), which grows exponentially in length as network size increases. While most existing national surveys circumvent this problem by capping the number of network members that can be named, this strategy has major limitations. Here, we apply random sampling of network members to reduce cost, respondent burden, and error in network studies. We examine the effectiveness and reliability of random sampling in simulated and real-world egocentric network data. We find that in estimating sample/population means of network measures, randomly selecting a small number of network members produces only minor errors, regardless of true network size. For studies that use network measures in regressions, randomly selecting the mean number of network members (e.g., randomly selecting 10 alters when mean network size is 10) is enough to recover estimates of network measures that correlate close to 1 with those of the full sample. We conclude with recommendations for best practices that will make this versatile but resource intensive methodology accessible to a wider group of researchers without sacrificing data quality.     

Population size matters: bias in conventional meta-analysis

When pooling the results from different studies, conventional fixed effect and random effect meta-analysis do not aim at representing populations. Instead, they build on the common literature synthesis perspective and provide a summary effect estimate, which combines the results from the studies included. The individual studies are weighted according to sample sizes and variance, but not population sizes. We demonstrate that, from the population perspective, the results can yield highly misleading conclusions when the common heterogeneity problem in effect estimates is given. We discuss bias, heterogeneity and generalization in single and multiple studies; we show the relevance of the population perspective in psychiatric health care; and demonstrate how weights can alternatively be defined by the study samples’ target population sizes. The approach is exemplified with a simplistic meta-analysis of the effect of Tai Chi based on a Taiwanese and a US sample. We show that the results can be very sensitive against the choice of the target population. No matter which method is used to pool heterogeneous effect estimates, a global summary estimate should not be used to make a global and uniform health decision. Instead, the determinants of heterogeneity should be investigated and differential advice provided.     

A Survey of Common Practices in Infancy Research: Description of Policies,Consistency Across and Within Labs,and Suggestions for Improvements

Psychology is currently in a period of unprecedented self‐reflection, with particular attention being paid to research practices and policies. Although infancy researchers have a history of attending to research practice in the form of papers outlining how to best implement various methods and paradigms, less is known about the particular practices currently being used by researchers in the field, making it difficult to identify areas for improvement. To address this issue, we developed an online survey for measuring methodological practices in infancy laboratories around the world. Our results suggest that infancy researchers adopt a range of a priori research practices. Individuals earlier in their training (particularly within the first year) were more likely to report not knowing their lab's policies, especially regarding issues that arise late in the research process. Members of the same lab agreed on lab policies at above‐chance levels; however, improvements could be made. The use of clearly problematic research practices was relatively rare; however, several “risk‐permeable” practices were identified that may, under select circumstances, threaten data integrity. We discuss how our results could be used to improve practice in infant research.     

On Specifying Specificity: Facial Expressions at 4 Months

Izard (2004/this issue) clarifies the position of differential emotions theory by proposing a distinction between hard and soft versions of event‐emotion expression relations. We concur that the best design to examine situational specificity in facial expressions is one that utilizes multiple stimulus situations assessed over multiple occasions and ages. However, the problem of how to identify, a priori, a family of stimulus situations remains. We offer an example from our own recent work demonstrating how facial expressions and physiological indexes may converge to indicate the presence of a meaningful family of stimulus situations. Specifically, we found evidence for a family of frustrating, goal‐blocking events that elicited expressions and cortisol responses indicative of anger at 4 months. Yet, individual differences exist in that these situations also elicited expressions and cortisol changes indicative of sadness. Identification of a more comprehensive set of such situations throughout infancy will allow researchers to more systematically examine the degree to which situational specificity of emotions is present.     

Sample Size,Statistical Power,and False Conclusions in Infant Looking‐Time Research

Infant research is hard. It is difficult, expensive, and time‐consuming to identify, recruit, and test infants. As a result, ours is a field of small sample sizes. Many studies using infant looking time as a measure have samples of 8–12 infants per cell, and studies with more than 24 infants per cell are uncommon. This paper examines the effect of such sample sizes on statistical power and the conclusions drawn from infant looking‐time research. An examination of the state of the current literature suggests that most published looking‐time studies have low power, which leads in the long run to an increase in both false positive and false negative results. Three data sets with relatively large samples (>30 infants) were used to simulate experiments with smaller sample sizes; 1,000 random subsamples of 8, 12, 16, 20, and 24 infants from the overall samples were selected, making it possible to examine the systematic effect of sample size on the results. This approach revealed that despite clear results with the original large samples, the results with smaller subsamples were highly variable, yielding both false positive and false negative outcomes. Finally, a number of emerging possible solutions are discussed.     

Looking for a Grandview: introducing concepts of robust sampling to policymakers and practitioners engaged in measuring the well‐being of children at the local authority level

Local authorities are increasingly required to measure and monitor the well‐being of children. One key aspect of ensuring that these data on child well‐being are robust is that they form an accurate and representative picture of that child population. Rather than being only the purview of researchers, the act of gathering outcome data now falls within the remit of policymakers and practitioners. This article therefore describes the principles and importance of solid sampling methodologies to this audience and also considers the practical reasons as to why policymakers and practitioners may require larger samples than may be necessary for a representative picture of child well‐being. These ideas are illustrated by one local authority in the UK’s approach to measuring child well‐being, using representative sampling techniques and the subsequent expansion of this sample. The consequences of expanding the sample size are illustrated by examining the impact upon key findings related to child well‐being. The potential benefits and limitations of larger samples are discussed, as are some practical solutions to the apparent impasse.     

The "quality " of early care and education settings: definitional and measurement issues

There is a widespread belief that high-quality early care and education can improve children's school readiness. However, debate continues about the essential elements of a high-quality experience, about whether quality means the same things across different types of care settings, about how to measure quality, and about the level of quality that might make a meaningful difference in outcomes for children. Are the aspects of the child care environment that researchers measure the ones that are most strongly related to children's development? This article argues that the ways in which researchers currently measure early care environments are flawed and that the conclusions drawn about the relationship between these measures and outcomes for children are frequently incorrect or overstated. The article addresses four questions: How is the quality of the child care environment commonly defined and measured? Do the most commonly used measures capture the child's experience? Do they work well across all settings? Are researchers drawing the correct conclusions from studies that relate the child care environment to child outcomes? Finally, the article discusses some possible directions for future research.     

Migration,development and inequality: Eastern Punjabi transnationalism

Abstract Drawing on original, ethnographic research in India and the UK, in this article we discuss the impact of transnational activity on the Doaba region of East Punjab, India. We argue that some recent studies have underplayed some of the less progressive consequences of Indian transnationalism. In particular, we contend that they have underestimated the extent of division between transnational migrants and Indian non‐migrants and downplayed the relationship between transnationalism and caste inequality. This empirical study of transnationalism, when placed in the context of the dynamic caste relations of East Punjab, supports those who contend that access to international migration is becoming an increasingly significant component of contemporary global social stratification, with the ‘broad’ transnational processes of capitalist globalization driving the ‘narrow’ transnationalism studied here. In this article, we question any straightforwardly progressive relationship between transnationalism and ‘development’ within East Punjab, and suggest that the arguments presented have a resonance beyond northwest India.     

Ethical challenges in conducting research with hard to reach families

This paper reflects on some of the ethical challenges encountered by the authors whilst undertaking sensitive qualitative research with parents and children who are traditionally hard to reach. The research aimed to provide more holistic and in‐depth accounts of parenting on a low income in diverse social circumstances than already exist. The nature of the sample and the subject matter that was covered inevitably raised many familiar ethical dilemmas and some that are less often encountered in practice, particularly in relation to child protection. In this article we discuss our approach to ethics, some of the ethical challenges we encountered undertaking work with families and discuss the complexity of decision‐making around risk of harm to children. We conclude that a clear framework to avoid harm should be developed at the outset and a transparent approach to child protection issues should be used. Additional time and resources need to be incorporated at the planning stage of similar projects in order to develop appropriate methods, ensure effective decision‐making and support researchers. Copyright © 2008 John Wiley & Sons, Ltd.     

Class matters: interviewing across social class boundaries

In this paper, we explore the methodological implications of conducting qualitative interviews when researchers and participants come from different social classes. Singling out class on its own terms, rather than considering it as an auxiliary structural factor, we examine the unique challenges that arise during cross-class interviews. Such challenges, we contend, require researcher reflexivity about how researcher–participant interactions unfold and the ways in which knowledge is generated during the interview process. In our discussion, we draw on Bourdieu’s cultural view of social class to argue that cross-class dynamics between the researcher and the participant – along with the normalization of middle-class values often inherent in interview questions – create potential obstacles to establishing rapport and facilitating fertile conversation. We use examples from our own field research in a U.S. fast-food chain to illustrate these barriers. We also provide practical recommendations to researchers regarding how they can minimize class-based biases, reduce class saliency, and gain awareness of their own class positions during cross-class interviews.     

‘Over the Pond and Across the Water’: Developing the Field of ‘Gendered Organizations’

This article is concerned with the development of gendered organizations as a field of study. It begins by exploring some of the factors that militate against integrating organization studies and gender studies and gendered organizations scholarship over national/continental divides. Increasingly doubtful about whether traditional (mainstream and critical) organization theories will or can adequately address gender, we contend that scholars of gendered organizations should ‘strike out’ on our/their own, ‘boldly going’ into unfamiliar territory to create new, innovative theories, concepts and ideas. We make various suggestions about possible future directions for theorizing and research.