Presenting Results

Lectures

Presenting Results Part 1: Reporting Results and Drawing Causal Conclusions

Discusses the so-called “M-A-G-I-C” criteria for describing results and reporting statistical analyses most effectively. Also discusses contexts in which it is appropriate to make causal claims in the context of cross-cultural research.

Presenting Results Part 2: Robustness

Compares two different approaches to running statistical analyses: the maximum validity method and the maximum robustness method. Also discusses different domains of robustness, including measurement robustness, methodological robustness, and others.

Presenting Results Part 3: Alternative Explanations for Results

Discusses alternative explanations which may sometimes account for observed effects and how to hold effective dialogue in relation to statistical analyses. Also discusses weaknesses in many commonly used statistical arguments.

Presenting Results Part 4: Presenting Results Online

Discusses the presentation of results to lay audiences n the web, including common pitfalls and dealing with criticism. Also discusses the importance of presenting results in a balanced manner that is neither too surprising nor too obvious.