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Description: Do you study motivation, affect, or social interactions and want to better understand the way they change over time? Do you have time series data that you would like to explore in greater depth?

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Introduction to Complex Systems Theory

This workshop will introduce attendees to dynamical systems and complexity science broadly. The first half of the workshop will focus on foundational ...

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Group Iterative Multiple Model Estimation (GIMME)

For the majority of the last century, personality science has focused on the study of individual differences, or how individuals differ from each othe...

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The Experience Sampling Method for Beginners

In recent years, the popularity of Experience Sampling Measures (ESM) have exploded. ESM has been touted as the solution to issues with static measure...

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Extensions of Recurrence Quantification Analysis

The last several years have produced an ever-increasing interest in characterizing behavior in terms of nonlinear dynamical systems. Likewise, the pre...

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Improving psychological science by formalizing psychological theories: the value of computational modeling

Most psychological theories are "verbal models": narrative explanations of a psychological phenomenon. Because of the vagaries of language, these theo...

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Using formr.org to Build Complex R-Driven Online Studies With Personalised Feedback

formr.org is a free open-source software framework for online studies. Because formr tightly integrates with the R programming language, researchers c...

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Introduction to MLM to Longitudinal Data Analysis

This workshop covers multi-level models (MLM; also known as hierarchical linear models, mixed effect models, among others) that are suitable for inten...

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Language as a Dynamic System: Where to Get it and What to Do Next

I will showcase a series of new methodological advances in analyzing interpersonal processes, with a focus on dynamic analysis. I will discuss how the...

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Introduction to Agent-Based Modeling

In this workshop, I will introduce participants to computer simulations of agent-based models. I will concentrate on models of social influence, one o...

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Dynamic Network Analysis

Modern data collection methods such as EMA/ESM techniques allow us to estimate personalized models. A popular example of such models are time-series n...

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Analyzing Mobile Sensor Data

New technology is allowing psychologists to give richer and more sophisticated answers to the question "What are people like outside the lab?" Using a...

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Keynote: The Dynamical Perspective on Human Experience: Toward an Integrative Paradigm for Psychological Science

Human experience covers a lot of ground, with everything from moment-to-moment thoughts and feelings to intimate relations, intergroup relations, and ...

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Neural Network Models

Neural network models are a widely used architecture for building theoretical models of neurobiological and psychological processes. While widely used...

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