The lack of theories and methodological weakness have been pointed out as two distinct but
related problems in empirical management information systems (MIS) research. Reinforcing …

It is frequently claimed that experiments can attest to causal assertions, whereas cross-
sectional survey research cannot underwrite similar causal claims. Some logical …

Causality was at the center of the early history of structural equation models (SEMs) which
continue to serve as the most popular approach to causal analysis in the social sciences …

In this commentary, we demonstrate how the potential outcomes framework can help
understand the key identification assumptions underlying causal mediation analysis. We …

Social scientists have identified a need to move beyond the analysis of correlation among
variables to the study of causal mechanisms that link them. Nicholas Weller and Jeb Barnes …

One of the central assumptions of the causal-indicator literature is that all causal indicators
must be included in the research model and that the exclusion of one or more relevant …

The study of mediation has a long tradition in the social sciences and a relatively more
recent one in epidemiology. The first school is linked to path analysis and structural equation …

The Credibility Revolution advances quantitative research designs intended to identify
causal effects from observed data. The ensuing emphasis on internal validity however has …

Path models to test claims about mediation and moderation are a staple of psychology. But
applied researchers may sometimes not understand the underlying causal inference …

Causal mediation analysis is widely used across many disciplines to investigate possible
causal mechanisms. Such an analysis allows researchers to explore various causal …