I am a Ph.D. in Psychology currently with a main focus on hearing impairment, cognitive functioning, and aging. Recently, I have started to carry out applied research (disability, mobility, participation, and traffic).
I also enjoy blogging about #Python and #RStats, from time to time: https://www.marsja.se
Interested in: #HearingImpairment #Aging #Cognition #Psychology #Automation #Digitalization #Disability #ResearchMethods #Programming #Stats
| Google Scholar | https://scholar.google.com/citations?user=C0jKStYAAAAJ&hl=en |
| CV | https://marsja.se/cv/ |
📢 New study! We used machine learning to classify noises as either energetic or informational, and tested speech recognition in Swedish using HINT and Hagerman. Scoring both keywords and sentences showed important differences. Normal-hearing individuals, both young and old, performed alike, while those with hearing loss achieved poorer results.
👉 https://www.sciencedirect.com/science/article/pii/S0001691825007747
#hearingscience #psychology #cognition #cognitivehearingscience
📊 Want to update your R skills? Discover the art of calculating Row Means using both base R and dplyr! Whether you are a seasoned data scientist or just diving into analytics, this guide covers everything. 🔢 Explore the magic of numeric operations and unlock the power of R. 🚀 Check out my latest blog post to learn more:
https://www.marsja.se/row-means-in-r-calculating-row-averages/
🚨 New research alert! 🧠 Our study shows that task-irrelevant vibrotactile stimuli can disrupt short-term memory for visually-presented verbal items. The interference is produced by conflicting amodal serial-ordering processes.
https://www.tandfonline.com/doi/full/10.1080/20445911.2023.2198065
#MemoryResearch #CognitiveScience 🧐 #Neuroscience 🧬 #Psychology 🧑🔬 #ExperimentalPsychology 🔬
What causes interference in short-term memory? We report the novel finding that immediate memory for visually-presented verbal items is sensitive to disruption from task-irrelevant vibrotactile sti...
Discover the Durbin-Watson Test and its role in examining autocorrelation in regression models. Learn how to carry out the test step-by-step in R using example data from Data Science, Psychology, and Hearing Science. Find out how to interpret the results and correct for autocorrelation. #DataScience #Statistics #Regression #RStats 📊🔍
https://www.marsja.se/durbin-watson-test-in-r-step-by-step-incl-interpretation/
Share via: 1 Share More This blog will teach you how to carry out the Durbin-Watson Test in R. Have you ever run a linear regression model in R and wondered if the model’s assumptions hold? One common assumption of a linear regression model is the independence of observations, which means that the residuals (the […]
You how to create a residual plot in R in this article. Also, you'll discover when to employ various residual plots as well as how to understand them. A graphical technique for assessing a regression model's quality is a residual plot. They are useful for spotting problems with model assumptions including heteroscedasticity, non-linearity, and non-normality.
Here you will learn how to create a residual plot in R. In fact, you will learn about residual plots (three different types) and how to interpret them. We will also cover multiple examples on how to do residual plots in R with the ggplot2 package.
