Skip to content

Data in a jar

Insights into psychometrics: A curated collection of posts and stories

Menu
  • Home
  • Categories
    • Stories
    • Psychometrics
    • Psychometrics in R
    • Data management
    • Analytics
    • Analytics in R
  • About
Menu

Category: Psychometrics in R

Exploring the Pros and Cons of Using R for Psychometrics

Posted on May 1, 2023May 3, 2023 by Katrina

Sure, here’s a post that explores the pros and cons of using R programming language in psychometrics: As a professional in the field of psychometrics, I have seen firsthand the power of…

ChatGPT and psychometrics

Posted on May 1, 2023May 8, 2023 by Katrina

Where can ChatGPT contribute to psychometrics in particular? Well, I asked ChatGPT and it answered: ChatGPT can contribute to psychometrics in several ways, including: Overall, ChatGPT’s ability to process large amounts of…

R packages for Psychometrics

Posted on September 1, 2022May 1, 2023 by Katrina

R is especially well suited for psychometrics. A long list of packages can be found in Psychometric Models and Methods, under the following categories: You could be interested in: References Image off…

Reproducible Research

Posted on September 1, 2022January 20, 2024 by Katrina

The aim of a good research protocol is that the research can be easily reproduced, by ourselves and by others, today or in three years. A really good summary of what reproducable…

Analytics Basics Beginner ChatGPT Data management Graphs Mindfulness Packages Personality Philosophy Psychology Psychometrics R R-project Reproducible research Stories UX

Recent Posts

  • Sustainable Success: Insights from Daniel Goleman’s “Optimal”
  • MBTI vs. Big Five: The Ultimate Showdown of Personality Tests
  • What is new within psychometrics?
  • Bridging the Gender Data Gap: A Path to Equitable Healthcare
  • Catching Sparkles: ROC analysis like a game

Sharing for growth

This is a personal blog, where you find some practical notes I find useful from my own learning journey. Because why not, maybe growth, sharing and caring are huggies.

Errors and omissions

It is impossible to know everything so the information provided here is prone to errors and omissions. Readers who rely on the information here supplied do so at their own risk.

Expressed views

Any views expressed on this site are my own (unless otherwise stated) and do not represent the opinions of any entity whatsoever with which I have been, am now, or will be affiliated.

©2025 Data in a jar | Design: Newspaperly WordPress Theme