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The purpose of this paper is to discuss the practical use of theoretical sampling as a method for selecting data that provide a richer and deeper understanding of the phenomenon being investigated.

Theoretical sampling is a well-known method in grounded theory studies to seek additional data based on concepts developed from initial data analysis. This method involves following where the data have led to expand and refine the evolving theory during the analytical process. However, there is a dearth of information detailing the practical steps needed to undertake theoretical sampling.

The authors used the theoretical sampling method in their study in four ways: asking additional interview questions and/or widening the scope of existing interview questions; recruiting participants with additional diversity of attributes within the same group; and adding a new group of participants and expanding research settings.

Theoretical sampling is a valuable and practical method for the purpose of addressing gaps in the data in qualitative research. When using theoretical sampling, it is essential to consider potential strategies for countering challenges that may arise. Practical recommendations are offered on the use of theoretical sampling during data analysis, for the purpose of achieving theoretical integration.

This paper aims to explicate one of the major findings of a research study seeking to understand how Indonesian people with diabetes learn about their disease. The one key finding discussed in this paper is how families influence the learning and self-management processes adopted by Indonesian people with diabetes.

A grounded theory methodology was adopted to investigate how Indonesian people with diabetes learn about their disease. Twenty-eight semi-structured interviews were undertaken with Indonesian people living with diabetes, families of people living with diabetes, healthcare professionals and other healthcare providers. Data was analysed by using constant comparative analysis during three coding stages.

The study explicated the basic social process of how people with diabetes in Indonesia learn about their disease through a generated theory “Learning, choosing, and acting: self-management of diabetes in Indonesia”. This study found family engagement was integral to Indonesian people living with diabetes who were self-managing their disease. Families assisted with seeking information, providing recommendations, selecting and implementing actions, appraising implemented actions, and informing others about their experiences. By acknowledging that family is involved in this process, the healthcare professional can adequately provide health education to both the person with diabetes and their families. Involving families in health education is crucial as family can influence decision making made by people with diabetes in a proper or improper way. Thus, clinicians need to also skilfully recognise difficulties these people encounter by monitoring their self-management progress and by working closely with them and their family members.

This is the first study conducted in Indonesia that specifically investigates the process of how people with diabetes learn about their disease. The involvement of families in this process is a central finding of the study. Families can enhance the overall health and well-being of the person with diabetes, aid in early recognition of aberration to health status and trigger the initiation of interventions to re-establish homeostasis if they are actively engaged and supported by health professionals.

Some US counties are more likely to generate entrepreneurial opportunities than others. This paper aims to determine the linkages between US counties with disproportionately high shares of entrepreneurs and specific attributes of the entrepreneurial support system.

Non-farm proprietorship (NFP) has been used as a proxy for entrepreneurship and self-employment. NFP employment data were collected from the US Bureau of Economic Analysis by county. Data on all independent variables were obtained from the US Census and Bureau of Economic Analysis by county and subject to stepwise linear regression analysis.

Results revealed a strong positive relationship between the percent of NFP employment by county and the percent real estate, rental and leasing employment and construction employment as well as percent Hispanic and median age.

In attempting to encourage NFP employment, policymakers should be more aware of the key predictors that shape county-wide entrepreneurial ecosystems to enhance competitive advantage. Better understanding of the needs and experiences of different types of entrepreneurs and ecosystems can enhance overall quality of life and economic opportunity levels in a community.

The explicit spatial context of this paper has sometimes been overlooked in the traditional entrepreneurship literature, as such, this paper helps fill that gap. The findings provide a disaggregated analysis that can help better understand the key predictors that can drive the local choices of entrepreneurs and help local policymakers to build more competitive communities.

Some US counties are more likely to generate entrepreneurial opportunities. This paper aims to determine whether US micropolitan counties with disproportionately high nonfarm proprietorship (NFP) employment levels are systematically linked to specific attributes of the entrepreneurial ecosystem. A limited amount of research has been conducted on the geography of entrepreneurship in small to medium-sized micropolitan counties where rates of growth and change can be quite dramatic.

NFP employment data from the US Bureau of Economic Analysis (BEA) is used as a dependent variable proxy for entrepreneurship. NFP data are widely used in the entrepreneurship literature. Data on all independent variables were obtained from the US Census Bureau’s American Community Survey and BEA by county and subject to stepwise linear regression.

Results revealed a strong positive relationship between the percent of NFP employment by micropolitan county and percent construction employment, percent real estate, and rental and leasing employment, and the percent elderly. It is argued that the combination of predictors captures primarily a self-employment of opportunity (e.g., thriving land and real estate markets).

In attempting to encourage NFP employment, policymakers should be more alert to the key predictors that shape micropolitan entrepreneurial ecosystems when attempting to enhance competitive advantage in small- to medium-sized communities. Better understanding how micropolitan counties function relative to larger metropolitan places can help local policymakers more efficiently enhance the overall quality of life in smaller communities.

The focus on smaller micropolitan communities and the explicit spatial context of this paper has sometimes been overlooked in the traditional entrepreneurship literature and this research helps to fill that gap.

This chapter draws on feminist theorizing on rape culture and victim blaming, and proposes a concept, racialized victim blaming, as a useful tool for understanding discourse on state violence.

The concept of racialized victim blaming is applied to historically analyze the genesis of the carceral state, and deconstruct public debates on police shootings and immigration crises.

This chapter argues that racialized victim blaming is used as a discursive tool to legitimize and mystify state violence projects. Officials and the media use racialized logics and narratives to blame the victims of state violence for their own suffering, justifying continued or increased state violence.

The concept of victim blaming is most often associated with violence against women. Here I demonstrate that victim blaming is also a useful tool for understanding state violence, particularly when attention is given to the place of racializing narratives.