This article reports the survey results from attendees at a large US health-care conference. Conference attendees were polled on a number of healthcare reform issues along with some basic demographic information. Few significant differences were found based on respondents’ gender, or...

Among the many centrality indices used to detect structures of actors’ positions in networks is the use of the first eigenvector of an adjacency matrix that captures the connections among the actors. This research considers the seeming pervasive current practice of using only the first...

In this article, we attempt to clarify our statements regarding the effects of mean centering. In a multiple regression with predictors A, B, and A × B (where A × B serves as an interaction term), mean centering A and B prior to computing the product term can clarify the regression...

There seems to be confusion among researchers regarding whether it is good practice to center variables at their means prior to calculating a product term to estimate an interaction in a multiple regression model. Many researchers use mean centered variables because they believe it’s the thing...

This research examines four frequently used centrality indices — degree, closeness, betweenness, and eigenvectors — to understand the extent to which their clear theoretical distinctions are reflected in differences in empirical performance. Even for stylized networks in which one centrality...

This research uses random networks as benchmarks for inferential tests of network structures. Specifically, we develop formulas for expected values and confidence intervals for four frequently employed social network centrality indices. The first study begins with analyses of stylized networks,...

This article considers three contemporary challenges faced by today’s marketing researchers. These challenges involve big data, survey data, and publishing. With a marketer’s perennial optimism, each challenge is seen as an opportunity, to obtain better information than ever before

In this article, the authors consider the nexus of social networks and radically new products. These new products are so innovative that they forge new product categories, and social networks might be particularly fruitful in their development, dissemination, and help to foster growth and...

This chapter provides an introduction to hierarchical linear modeling (HLM) for marketing researchers. We begin by motivating why one might use HIM models, describing what they are and what research questions they can address. We then describe the techniques. We illustrate the models on a small...