Researchers are increasingly turning to text as a form of data. Yet, it is difficult to quantify large volumes of text rigorously and precisely. These videos are from a workshop I gave at Duke University in February 2024. The first video presents some of my work that has used large language models for automated text analysis. The second shows viewers how to do this themselves.
This video gives a broad overview of some basic concepts. It covers how psychologists measure things, and how they test the quality of measurement instruments. It also addresses the concepts of mediation and moderation, within-person versus between-person relationships, and "internal" versus "external" validity.
In science, p-values appear all over the place and are incredibly important. But what are they? What do they tell us? This video explains p-values using an intuitive example involving a tea party.
This video discusses the question of whether science should be value-free. I argue that it cannot be, and that scientists should therefore not strive to be "objective" in that sense. Instead, the ideal of objectivity should be understood in terms of openness, transparence, and convergence in the face of public scrutiny of ideas.
This talk discusses how people around the world think about what it means to live a good life, focusing on the roles of happiness and morality. Three studies analyzed what people focus on when describing a good life, what they explicitly report, and the judgments they form about concrete cases. Although remarkably consistent across countries, the results differed strikingly across methods, highlighting the importance of how researchers measure a person's views on the good life.
In this video, I explain the "replication crisis" and how it began. I also discuss some causes of non-replicable research and some solutions to these problems.
This video provides a simple, conceptual introduction to correlations, specifically "bivariate" correlations and confidence intervals around estimates of correlation coefficients.
This video builds on the one above, explaining how regression models allow researchers to examine the unique or independent associations between predictors and an outcome variable.