Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

Using this feedback from course Quantitative methods First thing to mention, there's a couple of typos (1m instead of lm and - instead of ~).

Using this feedback from course "Quantitative methods" First thing to mention, there's a couple of typos (1m instead of lm and - instead of ~). I think you should be including the interaction between frequency and word length. And I think you should have some random effects: intercepts for both word and participant for sure. You could include random by-participant slopes for frequency and word_length as well -- probably it makes sense to do so since it's reasonable to expect those effects to vary by person, you can use (1+freq+word_length|participant) Please make changes to this line of code: model <- 1m(RT - freq + word_length, data= your_data_frame)

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image

Step: 3

blur-text-image

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

Mathematical Interest Theory

Authors: Leslie Jane, James Daniel, Federer Vaaler

3rd Edition

147046568X, 978-1470465681

More Books

Students also viewed these Mathematics questions

Question

What do their students end up doing when they graduate?

Answered: 1 week ago

Question

Explain how to handle conflict effectively.

Answered: 1 week ago

Question

Explain the relationship between thoughts, feelings, and actions.

Answered: 1 week ago