How to quantify the evidence for the absence of a correlation

We present a suite of Bayes factor hypothesis tests that allow researchers to grade the decisiveness of the evidence that the data provide for the presence versus the absence of a correlation between two variables. For concreteness, we apply our methods to the recent work of Donnellan et al. (in press) who conducted nine replication studies with over 3,000 participants and failed to replicate the phenomenon that lonely people compensate for a lack of social warmth by taking warmer baths or showers. We show how the Bayes factor hypothesis test can quantify evidence in favor of the null hypothesis, and how the prior specification for the correlation coefficient can be used to define a broad range of tests that address complementary questions. Specifically, we show how the prior specification can be adjusted to create a two-sided test, a one-sided test, a sensitivity analysis, and a replication test.     

Justified ex nihilo: Retrieving Creation for Theological Anthropology with Luther and Bonhoeffer

This article seeks to articulate a framework for theological anthropology that takes seriously the doctrine of creation, while also remaining christologically grounded and soteriologically informed. Toward this end, I will look briefly at how Martin Luther understands the relationship between justification, anthropology and creation, before turning to the way in which Dietrich Bonhoeffer picks up on Luther’s tripartite, justification‐based definition of the human being. In doing so, Bonhoeffer will help to clarify the essential role that creation plays in grounding and orienting a theological anthropology which seeks to take seriously the soteriological realities of sin and reconciliation.