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Mixed and Multilevel Models

Member Training: Power Analysis and Sample Size Determination Using Simulation

by guest contributer Leave a Comment

This webinar will show you strategies and steps for using simulations to estimate sample size and power. You will learn:
  • A review of basic concepts of statistical power and effect size
  • A simulation-based approach to power analysis
  • An overview of how to implement simulations in various popular software programs.
[Read more…] about Member Training: Power Analysis and Sample Size Determination Using Simulation

Tagged With: ANOVA, effect size, mediation, mixed model, Path Analysis, Power Analysis, quantitative research, sample size, simulation

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  • Member Training: A Gentle Introduction to Bootstrapping
  • Member Training: Matrix Algebra for Data Analysts: A Primer
  • Member Training: Generalized Linear Models
  • Member Training: The Fundamentals of Sample Size Calculations

Is there a fix if the data is not normally distributed?

by Karen Grace-Martin Leave a Comment

In this video I will answer another question from a recent webinar, Random Intercept and Random Slope Models.

We are answering questions here because we had over 500 people live on the webinar so we didn’t have time to get through all the questions.

[Read more…] about Is there a fix if the data is not normally distributed?

Tagged With: covariance terms, linear mixed model, random effect, random intercept, random slope

Related Posts

  • What packages allow you to deal with random intercept and random slope models in R?
  • What is the intercept for each individual in a random slope model?
  • Impact of Covariance Terms on Random Slope Model
  • How to Use the Fitted Mixed Model to Calculate Predicted Values

What packages allow you to deal with random intercept and random slope models in R?

by Karen Grace-Martin 1 Comment

In this video I will answer a question from a recent webinar, Random Intercept and Random Slope Models.

We are answering questions here because we had over 500 people live on the webinar so we didn’t have time to get through all the questions.

[Read more…] about What packages allow you to deal with random intercept and random slope models in R?

Tagged With: covariance terms, linear mixed model, random effect, random intercept, random slope

Related Posts

  • Is there a fix if the data is not normally distributed?
  • What is the intercept for each individual in a random slope model?
  • Impact of Covariance Terms on Random Slope Model
  • How to Use the Fitted Mixed Model to Calculate Predicted Values

Can I Treat 5 Waves of Repeated Measurements as Categorical or Continuous?

by Karen Grace-Martin 2 Comments

Question: Can you talk more about categorical and repeated Time? If I have 5 waves at ages 0, 1  year, 3 years, 5 years, and 9 years, would that be categorical or repeated? Does mixed account for different spacing in time?

 

Mixed models can account for different spacing in time and you’re right, it entirely depends on whether you treat Time as categorical or continuous.

First let me mention that not all designs can treat time as either categorical or continuous. The reason it could go either way in your example is because time is measured discretely, yet there are enough numerical values that you could fit a line to it. [Read more…] about Can I Treat 5 Waves of Repeated Measurements as Categorical or Continuous?

Tagged With: continuous time, linear mixed model, Repeated Measures

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  • Six Differences Between Repeated Measures ANOVA and Linear Mixed Models
  • Linear Mixed Models for Missing Data in Pre-Post Studies
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  • Three Designs that Look Like Repeated Measures, But Aren’t

Six Differences Between Repeated Measures ANOVA and Linear Mixed Models

by Karen Grace-Martin 13 Comments

As mixed models are becoming more widespread, there is a lot of confusion about when to use these more flexible but complicated models and when to use the much simpler and easier-to-understand repeated measures ANOVA.

One thing that makes the decision harder is sometimes the results are exactly the same from the two models and sometimes the results are [Read more…] about Six Differences Between Repeated Measures ANOVA and Linear Mixed Models

Tagged With: ANOVA, clustered data, linear mixed model, Missing Data, mixed model, Repeated Measures, repeated measures anova, unbalanced data

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  • Linear Mixed Models for Missing Data in Pre-Post Studies
  • Five Advantages of Running Repeated Measures ANOVA as a Mixed Model
  • When Does Repeated Measures ANOVA not work for Repeated Measures Data?
  • Approaches to Repeated Measures Data: Repeated Measures ANOVA, Marginal, and Mixed Models

What is the intercept for each individual in a random slope model?

by Karen Grace-Martin Leave a Comment

In this video I will answer a question from a recent webinar, Random Intercept and Random Slope Models.

We are answering questions here because we had over 500 people live on the webinar so we didn’t have time to get through all the questions.

[embedyt] https://www.youtube.com/watch?v=YDe6F7CXjWw[/embedyt]

If you missed the webinar live, this and the other questions in this series may make more sense if you watch that first. It was part of our free webinar series, The Craft of Statistical Analysis, and you can sign up to get the free recording, handout, and data set at this link:

http://TheCraftofStatisticalAnalysis.com/random-intercept-random-slope-models

Tagged With: covariance terms, linear mixed model, random effect, random intercept, random slope

Related Posts

  • Is there a fix if the data is not normally distributed?
  • What packages allow you to deal with random intercept and random slope models in R?
  • Impact of Covariance Terms on Random Slope Model
  • How to Use the Fitted Mixed Model to Calculate Predicted Values

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