Quantitative Social Science Initiative Colloquium presentation - Jason Bendezu
Feb 24, 2014
from 12:10 PM to 01:15 PM
|Where||B001 Sparks - the 'Databasement'|
|Contact Name||Dee Bagshaw|
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Researchers in many areas of social science observe, record, and store individuals’ behavior in laboratory or real-world setting. Quantifying behavior from video records involves classifying or rating behaviors within specific time units, e.g. second-by-second. These time series data provide an opportunity to measure and model temporal dynamics of behavior. Moreover, for certain constructs, temporal dynamics are not just of methodological interest but also of conceptual interest, such as the construct of self-regulation. Using examples from a longitudinal study of self-regulation in early childhood (the Development of Toddlers Study; PI: Pamela Cole), I will review procedures used to study child self-regulation and highlight issues that arise in data collection, coding, and pre-processing of time series observational data. Sample video record, observational data analytic software (e.g., INTERACT), and visualization of time series data will be presented. We will discuss how the processing and analysis of video-record data can be applied to a variety of substantive questions in the social sciences.
Jason J. Bendezú is a doctoral student in Child Clinical Psychology at Penn State. His research interests include the development of emotion regulation during early childhood and its intersection with maternal emotion regulation and approach/avoidance motivation. In addition, he is interested in understanding how child coping and stress exposure both augment child stress response physiology and contribute to psychopathological functioning. Methodologically, he is interested in person-specific and person-centered analysis of emotion and physiologic regulatory processes."
All interested members of the Penn State community are invited to attend. Light lunch served.