Why Psychology
I chose Psychology because I am very interested on my self and others.
How do we take decisions? Why do we act the way we do?
As I entered the world of programming in college, I began asking, what are the underlying processes in our brain?
Fortunately, my curiosity has awarded me with a killer combination of technology and psychology. Here's a few reasons why psychology is so helpful, and at times indispensable, for data analysis
Psychology and Data Analysis
Data misinterpretation
Psychology helps identify and avoid misinterpretations of data through a deeper understanding of cognitive biases and how people process information.
Fallacies and fails in logic
Psychology provides a framework for identifying and avoiding logical fallacies in data analysis, such as confirmation bias, sunk cost fallacy, and hasty generalization.
Learning and memory
Psychology can help optimize the process of learning and remembering information, which is crucial in retaining and applying insights gained from data analysis. (Like chunking or taking advantage of episodic memory)
Readability, accessibility, and availability
Psychology provides techniques for making information easily readable and available, such as using clear and concise language, visuals, and information architecture. It also aids on the design of data analysis tools and processes that are accessible for people with various mental disabilities, such as cognitive, developmental, and learning disabilities.
DATA ARE PEOPLE
Data often describes human behavior, preferences and tendencies.
When it doesn't, it still affect people
Scientific paper analysis
Psychology helps assess the reliability and validity of data presented in scientific papers by evaluating the methods used to gather and analyze the data, the sample size, and the generalizability of the results. It also provides methods for measuring the veracity of data, such as subjective probability estimates, statistical significance tests, and validity and reliability of measurement instruments.
Neuroeconomics and behavior predictions
Psychology, specifically neuroeconomics, can help make predictions about decision-making behavior by taking into account factors such as emotional and cognitive biases, motivations, and preferences.