About the Miniseries:

This podcast miniseries, "Data Analysis for Sedentary Behaviour", hosted by Dr. Olli Tikkanen, aims to deliver a comprehensive understanding of sedentary behavior data analysis.

Across six informative episodes, Dr. Tikkanen brings clarity to complex concepts, explores advanced analytic techniques, and introduces software tools that aid in the examination and interpretation of sedentary behavior and physical activity data. This miniseries is designed for a wide audience, from novices in the field to seasoned researchers seeking new insights.

About the Episode Topic:

In episode two of the series, Dr. Tikkanen dives deep into the key techniques for analyzing sedentary behavior data: descriptive statistics and time series analysis.

These approaches represent foundational elements of data analysis, offering researchers powerful tools to better understand and interpret their data. Descriptive statistics, a method used for summarizing and organizing data, offers a preliminary insight into the behavior patterns of the study group.

Moving beyond preliminary understanding, time series analysis reveals patterns, trends, and cycles within the data, offering a dynamic view of sedentary behavior. Here, we begin to understand how activity levels fluctuate over time, leading to deeper insights and potentially exposing critical intervention points.

Dr. Tikkanen also acknowledges the importance of software tools such as SPSS, R, and Python in simplifying the analysis process, while emphasizing the value of building the necessary skills to use these tools effectively.

Episode Timestamps:

• [00:01:00] - Introduction and Recap

Want to book a video call with Dr Olli Tikkanen to discuss your sedentary behavior or physical activity measurements? Here's the link: https://olli.tucalendi.com/par/videocall