Current Research Projects

  • Network Analysis

    Social network analysis is a fascinating set of methods that can be used in social and organizational psychology to study relationships between individuals. We’re currently wrapping up a study applying these methods to faculty coauthorship networks through a generous grant from the Lowe Institute.

  • Multidimensional Forced Choice (MFC) Measures

    MFC measures have grown in popularity as an alternative to traditional Likert-type measures (scale of 1 to 5) that often suffer from faking, social desirability, and bias. These have primarily been developed for personality measures; we are currently working on a study developing a version for vocational interests.

  • Calling & Vocation

    The concept of individuals motivated by a sense of vocational calling has grown in recent years, both in popularity and in academic research interest. Building off of our recent publication, we have several projects working on expanding our understanding of calling into multiple domains, pre-college influences, and early career change.

  • NLP, LLM, and GPT

    Natural language processing (NLP) methods have grown tremendously in recent years, especially in psychology. We have several projects applying NLP and large language models like GPT to different contexts, such as analyzing transcripts from reality TV shows to predict performance, and analyzing interview data on career development.

  • Escape Room Assessment

    Recent scholars have raised concerns over our field’s over-reliance on surveys and lab experiments that suffer from low generalizability to the real-world. Thus, we are building an escape room! This unique data source will allow us to use real-world team gameplay to assess leadership, teamwork, and communication. This includes game design, physical setup and decorations, and use of technology for dense data collection (e.g., video and audio).

  • Alternative Measures of Leadership

    The field of leadership studies is replete with overlapping constructs, measures, and conceptualizations. We are employing alternative methods — ranging from machine learning to GPT — to study and measure leadership behaviors, leader development, and leader effectiveness. Thank you to the Kravis Leadership Institute for their support for one of our studies!

Fall 2026 lab applications are now open! Applications are due July 26, 2026. Find out more and apply here!

Recent Publications

  • In this massive, unprecedented study led by the team at the Center for Open Science, I (along with almost 200 other scholars) systematically re-analyzed previously published datasets, using our own expertise to decide on the analysis method despite testing the same original hypothesis. We found that just 34% of these reanalyses produced the same result as originally published. These findings point towards the reality of the replication crisis and the need for better safeguards and controls to protect the validity of social science research. Read the full paper here and/or the NY Times article covering this study here.

  • Our team surveyed nearly 500 SIOP members across academia and practice, asking how often they use tools like ChatGPT, what for, and how they feel about it. We found that over 90% of I-O psychologists (both academics and practitioners) use generative AI at least monthly, with reported benefits and concerns ranging from efficiency and productivity, to quality and accuracy problems, to application in teaching and evaluation. Read the full paper (open access) here, and even better, you can view an interactive dashboard of the anonymized data!

  • Using a database of over 20,000 research articles, we leveraged human + GPT coding to assess for publication bias in the content of the research on controversial topics in the social sciences (e.g., free speech, standardized testing). We found limited evidence of publication bias — which bodes well for maintaining the integrity of scientific research — but interesting effects among the faculty author demographics and institutional attributes. Read the full paper here.

  • Our most recent publication features a review of 80 years of research on “forced-choice” measurement. We discuss what it is, why it works, and how it can be improved. Find out more here, or read the full publication here.

  • I’m thrilled to announce my first book published with Cambridge University Press, coming in July 2025! The book is an anthology of narratives of people navigating their first jobs as they embark on their careers, paired with a review of the career counseling literature designed to help today’s job seekers in their career journeys. We hope that this book becomes an impactful resource for job seekers from all background, industries, and life stages as they begin their career journeys. Find out more here!

All Research