Social Work Students' Research-Related Anxiety and Self-Efficacy: Research Instructors' Perceptions and Teaching Innovations

The purpose of this mixed methods study was to examine social work research instructors' perceptions of research-related anxiety and research confidence among social work students, and teaching strategies to identify and manage anxiety. A national web-based survey of 186 BSW and MSW social work research instructors was conducted. Many BSW (70%) and MSW (61%) research instructors reported that they used specific activities or approaches to assess or impact upon student anxiety. Qualitative analysis results suggested a teaching model for social work research instructors designed to reduce students' research-related anxiety, including by enhancing their research confidence. Strategies that instructors can use include creating a supportive class climate, providing activities that are emotion-, cognitive-, and action-focused as well as the use of strategic timing. These findings can be used to guide social work research instructors' facilitation of students' attainment of research competencies and help further students' research–practice integration.     

The person of the category: the pricing of risk and the politics of classification in insurance and credit

In recent years, scholars in the social sciences and humanities have turned their attention to how the rise of digital technologies is reshaping political life in contemporary society. Here, we analyze this issue by distinguishing between two classification technologies typical of pre-digital and digital eras that differently constitute the relationship between individuals and groups. In class-based systems, characteristic of the pre-digital era, one’s status as an individual is gained through membership in a group in which salient social identities are shared in common with other group members. In attribute-based systems, characteristic of the digital era, one’s status as an individual is determined by virtue of possession of a set of attributes that need not be shared with others. We argue that differences between these two types of classification technologies have important implications for how persons attach (or fail to attach) to groups, and therefore what kinds of political mobilization are possible. We illustrate this argument by examining contention over the use of gender as a variable in the pricing of risk in insurance and credit – two markets in which individuals directly encounter class-based and attribute-based systems of classification, respectively.

     

A Note on the Estimation of Missing Values in Time Series

This paper derives an expression for the likelihood function of the parameters in an autoregressive-moving average model when some values are missing from the observed time series. The estimation of the missing values and their mean squared errors is discussed. Stationary as well as nonstationary models are considered.