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D. Conducting within-person research in OB-HRM

Volume horaire total 12


Silvia DELLO RUSSO, associate professor, Luiss University, Rome (Italy)




 The seminar is aimed at:
- Introducing students to within-person research, its uniqueness and differences from between-person research in organizational behavior and human resource management
- Exposing students to the specific theorizing of within-person relationships and the way theory informs empirical choices with respect to research designs
- Presenting students with within-person research design options with a special focus on diary studies, and the associated analytical tools.
- Assisting students in envisioning the inclusion of a within-person component in one of their current projects, advising on research designs, theories and empirical/analytical choices to make.


This seminar focuses on quantitative research methodologies that capture within-person differences and outcomes rather than (more traditional) between-person differences and outcomes.
The three main topics addressed in the seminar will be: Within-person Theorizing, Research Designs & Data Collection, and Data Analysis.
The first session will cover issues of theorizing, that pertain mostly to the matter of time. Many theories in the OB-HR literature still offer limited predictions with respect to the timing of occurrence of certain predicted effects, as well as the duration or the evolution over time of the phenomena of interest.
The second session will tap into the research designs for answering within-person research questions. Attention will be dedicated to longitudinal studies, including diary studies (e.g., Experience Sampling Methods, ESM), that are a specific type of intensive longitudinal designs. However, because the tendency is to (incorrectly) equate within-person designs with diary studies, we will also discuss different forms of research designs such as within-person experimental designs.
The third session will be dedicated to an understanding of the data analysis methodologies that prove most appropriate for within-person data. Three analyses that are most commonly used in this domain will be discussed, namely Repeated Measures General Linear Models, Random Coefficient Modeling and Latent Growth Modelling. We will examine their main assumptions and practical aspects while not entering technical details of any software syntax (hence, no previous knowledge of any software is required).


Monday June 26 14h30-17h30
Tuesday June 27 / Wednesday June 28 / Thursday June 29 :  9h30-12h30


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