This study used a multistage mixed-methods analysis to assess the content-related validity (i.e., item validity, sampling validity) and construct-related validity (i.e., substantive validity, structural validity, outcome validity, generalizability) of a teaching evaluation form (TEF) by examining students’ perceptions of characteristics of effective college teachers. Participants were 912 undergraduate and graduate students (10.7% of student body) from various academic majors enrolled at a public university. A sequential mixed-methods analysis led to the development of the CARE-RESPECTED Model of Teaching Evaluation, which represented characteristics that students considered to reflect effective college teaching—comprising four meta-themes (communicator, advocate, responsible, empowering) and nine themes (responsive, enthusiast, student centered, professional, expert, connector, transmitter, ethical, and director). Three of the most prevalent themes were not represented by any of the TEF items; also, endorsement of most themes varied by student attribute (e.g., gender, age), calling into question the content- and construct-related validity of the TEF scores. Also cited by Harris, Ingle, Rutledge, 2014, 'How Teacher Evaluation Methods Matter for Accountability A Comparative Analysis of Teacher Effectiveness Ratings by Principals and Teacher Value-Added Measures.' Abstract Policymakers are revolutionizing teacher evaluation by attaching greater stakes to student test scores and observation-based teacher effectiveness measures, but relatively little is known about why they often differ so much. Quantitative analysis of thirty schools suggests that teacher value-added measures and informal principal evaluations are positively, but weakly, correlated. Qualitative analysis suggests that some principals give high value-added teachers low ratings because the teachers exert too little effort and are “lone wolves” who work in isolation and contribute little to the school community. The results suggest that the method of evaluation may not only affect which specific teachers are rewarded in the short term, but shape the qualities of teacher and teaching students experience in the long term.

Qualitative methods potentially add depth to prevention research but can produce large amounts of complex data even with small samples. Studies conducted with culturally distinct samples often produce voluminous qualitative data but may lack sufficient sample sizes for sophisticated quantitative analysis. Currently lacking in mixed-methods research are methods allowing for more fully integrating qualitative and quantitative analysis techniques. Cluster analysis can be applied to coded qualitative data to clarify the findings of prevention studies by aiding efforts to reveal such things as the motives of participants for their actions and the reasons behind counterintuitive findings. By clustering groups of participants with similar profiles of codes in a quantitative analysis, cluster analysis can serve as a key component in mixed-methods research. This article reports two studies. In the first study, we conduct simulations to test the accuracy of cluster assignment using three different clustering methods with binary data as produced when coding qualitative interviews. Results indicated that hierarchical clustering, K-means clustering, and latent class analysis produced similar levels of accuracy with binary data and that the accuracy of these methods did not decrease with samples as small as 50. Whereas the first study explores the feasibility of using common clustering methods with binary data, the second study provides a “real-world” example using data from a qualitative study of community leadership connected with a drug abuse prevention project. We discuss the implications of this approach for conducting prevention research, especially with small samples and culturally distinct communities.

Draws on a content analysis of methods and design from 232 articles using combined methods. Examine and discusses the rationales provide for employing mixed-methods and whether they correspond to actual practice.

Mixed-method and experimental data on working poor families and children with troubles participating in the New Hope anti-poverty experimental initiative in Milwaukee are described. Sixty percent of these families had at least one child who had significant problems (learning, school achievement and/or behavior, home behavior, retardation, other disabilities). Control group families with children who had troubles had more difficulties in sustaining their family routine than did New Hope experimental families.

During the 1990s, growing demands to end chronic welfare dependency culminated in the 1996 federal “welfare-to-work” reforms. But regardless of welfare reform, the United States has always been home to a large population of working poor—people who remain poor even when they work and do not receive welfare. In a concentrated effort to address the problems of the working poor, a coalition of community activists and business leaders in Milwaukee, Wisconsin, launched New Hope, an experimental program that boosted employment among the city’s poor while reducing poverty and improving children’s lives. In Higher Ground, Greg Duncan, Aletha Huston, and Thomas Weisner provide a compelling look at how New Hope can serve as a model for national anti-poverty policies via their qualitative, quantitative, and mixed method research approaches. New Hope was a social contract—not a welfare program—in which participants were required to work a minimum of thirty hours a week in order to be eligible for earnings supplements and health and child care subsidies. All participants had access to career counseling and temporary community service jobs. Drawing on evidence from surveys, public records of employment and earnings, in-depth interviews, and ethnographic observation, Higher Ground tells the story of this ambitious three-year social experiment and evaluates how participants fared relative to a control group. The results were highly encouraging. Poverty rates declined among families that participated in the program. Employment and earnings increased among participants who were not initially working full-time, relative to their counterparts in a control group. For those who had faced just one significant barrier to employment (such as a lack of access to child care or a spotty employment history), these gains lasted years after the program ended. Increased income, combined with New Hope’s subsidies for child care and health care, brought marked improvements to the well-being and development of participants’ children. Enrollment in child care centers increased, and fewer medical needs went unmet. Children performed better in school and exhibited fewer behavioral problems, and gains were particularly dramatic for boys, who are at the greatest risk for poor academic performance and behavioral disorders. As America takes stock of the successes and shortcomings of the Clinton-era welfare reforms, the authors convincingly demonstrate why New Hope could be a model for state and national policies to assist the working poor. Evidence based and insightfully written, Higher Ground illuminates how policymakers can make work pay for families struggling to escape poverty.

The spatial humanities constitute a rapidly developing research field that has the potential to create a step-change in the ways in which the humanities deal with geography and geographical information. As yet, however, research in the spatial humanities is only just beginning to deliver the applied contributions to knowledge that will prove its significance. Demonstrating the potential of innovations in technical fields is, almost always, a lengthy process, as it takes time to create the required datasets and to design and implement appropriate techniques for engaging with the information those datasets contain. Beyond this, there is the need to define appropriate research questions and to set parameters for interpreting findings, both of which can involve prolonged discussion and debate. The spatial humanities are still in early phases of this process. Accordingly, the purpose of this special issue is to showcase a set of exemplary studies and research projects that not only demonstrate the field’s potential to contribute to knowledge across a range of humanities disciplines, but also to suggest pathways for future research. Our ambition is both to demonstrate how the application of exploratory techniques in the spatial humanities offers new insights about the geographies embedded in a diverse range of texts (including letters, works of literature, and official reports) and, at the same time, to encourage other scholars to integrate these techniques in their research.

Research was initiated in 2008 with the objective of developing social indicators for well-being of fishing communities. Initial steps included development and testing indicators for the concepts of dependence, gentrification, vulnerability, and resiliency in relation to nine fishing communities on the Texas Gulf Coast. Procedurally, a mixed methods design was employed, using quantitative analyses of large secondary data sets to rank coastal communities based on socioeconomic measures, and independently employing qualitative approaches to provide rankings of the nine communities. The two qualitative approaches, an informed expert description of the communities, and cognitive-based interviews in the same communities each produced rankings almost identical with each other and with the quantitative rankings. Three types of analyses yielded similar results, indicating that cognitive ethnography can be a valuable tool in the description of community resilience, vulnerability, and well-being.

Community is an ambiguous concept, and the meanings of community as a subject of study have received a great deal of attention across various disciplines. This paper discusses how children's diverse meanings of community shape and are shaped by the social, cultural, and physical environments of their everyday lives. To explore these meanings I combine principles of child-centered research and qualitative geovisualization into a research methodology. I demonstrate that this integration displays the transformative nature of qualitative analysis and visualization to support interpretive analysis of various forms of qualitative and spatial data together, and offers us a hybrid methodological framework for gaining insights into the diverse meanings of community held by the children. The main case study is drawn from a multi-year research collaboration called the Children's Urban Geography (ChUG), in which I participated along with children who lived in a relatively poor but emerging multi-cultural Hispanic neighborhood in Buffalo, NY.

Discusses mixed methods sampling techniques in creative and effective ways.

Research involving adolescents from same-sex parent families provides an important contribution to the evidence base on their health, well-being and the impact of stigma. To date reports on the perspectives of adolescents with same-sex attracted parents have been limited. This study aimed to describe the multidimensional experiences of physical, mental and social well-being of adolescents living in this context. A mixed methods study of adolescents with same-sex attracted parents comprising of an adolescent-report survey of 10- to 17-year-olds and family interviews with adolescents and their parents. Data were collected in 2012 and 2013 as part of the Australian Study of Child Health in Same-Sex Families. The findings from qualitative interviews with seven adolescents and responses to an open-ended survey question (n = 16) suggest four themes: perceptions of normality, positive concepts of health, spheres of life (including family, friends and community) and avoiding negativity. The quantitative sample of adolescents with same-sex attracted parents (n = 35) reported higher scores than population normative data on the dimensions general health and family activities within the Child Health Questionnaire (CHQ) as well as higher on the peer problems scale on the Strengths and Difficulties Questionnaire (SDQ). Perceived stigma correlates with lower health and well-being overall. Positive health outcomes are informed by the ways adolescents conceptualize health and how they construct their spheres of life. Peer relationships, and community perspectives of same-sex families, inform perceived stigma and its correlation with poorer health and well-being. Although adolescents see their families as essentially normal they are negatively affected by external societal stigma.