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...

In this research, we present the inferential statistics for Cronbach's coefficient alpha. This index of reliability is extremely important in consumer research. The estimation of alpha and its confidence intervals are described and an analytical demonstration illustrates the effects on these...

In this research, we investigate the behavior of Cronbach's coefficient alpha and its new standard error. We systematically analyze the effects of sample size, scale length, strength of item intercorrelations, and scale dimensionality. We demonstrate the beneficial effects of sample size on...

This article introduces network analysis as a supplement to current research on the process of negotiations. We briefly review the literature on negotiations involving third parties, and argue that to understand fully the dynamics of dispute resolution, it is important to examine processes in...

A bipartite graph, in which the nodes (or actors in a social network) are partitioned into two sets, can be studied using recent statistical models for dyadic interactions. These models, which are loglinear for the probabilities of dyadic choices or interactions, allow not only arcs or...