Synthesizing Best Practices for Conducting Dictionary-Based Computerized Text Analysis Research

Abstract

A growing body of research outlines how to best facilitate and ensure methodological rigor when using dictionary-based computerized text analyses (DBCTA) in organizational research. However, these best practices are currently scattered across several methodological and empirical manuscripts, making it difficult for scholars new to the technique to implement DBCTA in their own research. To better equip researchers looking to leverage this technique, this methodological report consolidates current best practices for applying DBCTA into a single, practical guide. In doing so, we provide direction regarding how to make key design decisions and identify valuable resources to help researchers from the beginning of the research process through final publication. Consequently, we advance DBCTA methods research by providing a one-stop reference for novices and experts alike concerning current best practices and available resources.

Citation

Reid, S.W., McKenny, A.F. and Short, J.C. (2023), "Synthesizing Best Practices for Conducting Dictionary-Based Computerized Text Analysis Research", Hill, A.D., McKenny, A.F., O'Kane, P. and Paroutis, S. (Ed.) Methods to Improve Our Field (Research Methodology in Strategy and Management, Vol. 14), Emerald Publishing Limited, Leeds, pp. 43-78. https://doi.org/10.1108/S1479-838720220000014004