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How Do You Know What Your Employees Are Going Through? Logistical, Statistical, and Practical Methods for Assessing Daily Experiences at Work
2:00 pm - 5:00 pm, Wiliford B 
(This session is sold out.)

Daniel J. Beal
Rice University
This session been preapproved for 3 hours of general credit toward PHR, SPHR, and GPHR recertification through the HR Certification Institute.
 
The use of this seal is not an endorsement by the HR Certification Institute of the quality of the program. It means that this program has met the HR Certification Institute's criteria to be pre-approved for recertification credit.


Abstract:
This seminar will focus on experience sampling methods, one of the best methods for understanding the actual experiences of employees while at work. Specifically, it will discuss various practical means of accomplishing the assessment of daily experiences at work and the logistical hurdles that will inevitably arise when using these methods. It will then cover the basic modeling techniques for this resulting rich and complex set of data.
Description:
Recently, researchers have begun to turn away from assessing abstract summary attitudes of employees and have striven to understand the actual experiences of those employees while at work. One of the best methods for achieving this understanding is through the use of what is variously called experience sampling methods, ecological momentary assessment, or daily experience methods. All of these approaches involve assessing a critical set of experiences as close to their occurrence as possible and in their natural work context. Regardless of the particular experience of interest (e.g., behavior during performance episodes, feelings concerning fair or unfair treatment, etc.), the approach involves a shift away from distinguishing simply who is different from whom and toward predicting how each person will react to the day-to-day changes in their work environment. This seminar is divided into three major sections covering 1) various practical means of accomplishing the assessment of daily experiences at work; 2) discussion of the logistical hurdles that will inevitably arise when using these methods; and 3) illustrations of basic modeling techniques for the resulting rich and complex set of data. Throughout the seminar, I will use examples based not only on interesting research questions, but will also propose a variety of potential uses of these methods in practice.

Learning Objectives:
Participating in this seminar should enable you to:

1. Describe the differences between daily experience methods and more traditional measurement methods in organizations
2. Evaluate the various methods available for assessing daily experiences and explain the contexts most appropriate for their usage
3. List the difficulties that often arise while using these methods and apply strategies to effectively combat them
4. Use widely available analytical software to model the multilevel data that are generated using daily experience methods
5. Identify several ways that daily experience methods can be applied in practice to benefit employees and their organizations

Presenter:
 
Dr. Daniel J. Beal obtained his PhD from Tulane University and worked as a post-doctoral fellow at Purdue University for several years. Currently, he is an assistant professor of Psychology at Rice University. His research interests span two broad areas: Affect in organizations and research methods. Within the affect domain his research has emphasized within-person variability in emotional experiences and expressions of those experiences, and has identified a number of dynamic antecedents and consequences of daily affect at work. Methodologically, Dan has interests in three primary areas: 1) multilevel modeling, particularly applications to daily experience methods; 2) structural equation modeling, including the use of item parcels and latent growth models; and 3) developing new meta-analytic methods for artifact correction and detecting outlier studies.  His work in these areas has appeared in the Journal of Applied Psychology, Academy of Management Journal, and Organizational Research Methods, among other journals.  Currently, he serves on the editorial boards of the Journal of Applied Psychology, Organizational Research Methods, Journal of Management, and the Journal of Business and Psychology.
Coordinator: Chu-Chiang (Daisy) Chang, Michigan State University