PSYC3000

Welcome!

If you are in this page is because you are an student in my PSYC 3000 class. Sometimes Canvas doesn’t like my presentation in html format. So, I decided to create my own site where you can access my presentations.

You might not be an student in my class, but you knew about me and this class from other sources. That’s totally fine! You are also welcome!

I share all the content in this site under a Creative Commons license, specifically the license CC BY-NC-ND 4.0. This means, you cannot use this material for commercial purposes, but you can use my material, and you MUST cite or mention the original source for non-commercial projects such as academic work.

Life is crazy, psychology is also numbers!

At this point you might be thinking: “I decided to study psychology to avoid numbers!”

But numbers are not avoidable if you want to be scientist or scientist practitioner. It might be boring sometimes, but other times you might have fun answering questions related to NATURE. Yes, NATURE!

This is a psychology course, and my aim is to study statistics as a science that helps other sciences to study NATURE. Psychological processes are also part of NATURE, of course!

Lectures:

Lecture 1: Research designs

Lecture 2: Sampling designs

Lecture 3: Introduction to Probability and Statistics

Lecture 4: Probability distributions and random variables

Lecture 5: Central Tendency Measures

Lecture 6: The art of plotting

Lecture 7: Introduction to Hypothesis Testing

Lecture 8: Correlation and Regression Models

Lecture 8: Correlation and Regression Models Part 2

Lecture 8: Correlation and Regression Models Part 3

Lecture 9: Model selection

Lecture 10: Non-linear models and moderation

Assignments

Assignment #1

Assignment #2

Final Exam

R excercises

Practice #1

Practice #2

Creating reports using Quarto

Introduction to Quarto

Data sets used in this course:

Positive and Negative affect

Rumination, depression and other variables

Wage Data

Life expectancy at birth 2020

EDAD project

Dementia and autobiographical memory intervention

Advanced topics and talks

A friendly Introduction to Longitudinal Analysis with Latent Variables

GeoWeek 2023

Gentle Introduction to R