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How Can Big Data Science Transform the Psychological Sciences?

Betsy H Albritton¹, Scott Tonidandel¹

¹University of North Carolina at Charlotte (USA).

The Spanish Journal of Psychology

|November 5, 2020

Summary

Big data science offers transformative potential for psychological research, enhancing robustness and focusing on real behaviors. Embracing these methods can revolutionize the field and improve scientific outcomes.

Keywords:

algorithms big data data science deep learning machine learning

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Area of Science:

Psychological Sciences
Data Science

Background:

Societal transformation driven by big data.
Potential for similar impact in psychological sciences.

Purpose of the Study:

Motivate psychologists to adopt big data science.
Highlight benefits for scientific advancement and research quality.

Main Methods:

Leveraging big data sources.
Employing algorithmic methods.
Fostering a predictive culture.

Main Results:

Advancement of psychological science.
Improved research robustness and replicability.
Increased focus on observable behaviors.

Conclusions:

Psychologists should embrace big data science.
Addressing criticisms and outlining contributions.
Driving a revolution in psychological research through data.