Multilevel Modeling for Longitudinal Models in R
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Multilevel Modeling for Longitudinal Models in R

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Questions and Answers

What does the multilevel modeling for longitudinal models account for?

  • Number of participants
  • Duration of the study
  • Correlation between time points (correct)
  • Type of intervention

    • What is the purpose of the 'interven' variable in the data set?

  • To identify the intervention (correct)
  • To record the score
  • To measure the time
  • To identify the participant

    • What is the purpose of formulating an equation for random intercepts and slopes in multilevel modeling for longitudinal models?

  • To account for the number of participants
  • To predict the participant's score (correct)
  • To identify the type of intervention
  • To measure the duration of the study

    • How many time points are in the study?

    <p>10</p> Signup and view all the answers

    What is the function of the 'score' variable in the data set?

    <p>To record the score received on the intervention</p> Signup and view all the answers

    What is latent growth modeling primarily used to estimate?

    <p>Growth trajectories</p> Signup and view all the answers

    In which fields is latent growth modeling widely used?

    <p>Psychology, Behavioral Science, Education and Social Science</p> Signup and view all the answers

    What is another name for latent growth modeling?

    <p>Latent growth curve analysis</p> Signup and view all the answers

    Which software can be used to estimate growth trajectories in latent growth modeling?

    <p>OpenMx and lavaan</p> Signup and view all the answers

    What does latent growth models represent in longitudinal data?

    <p>Dependent variables as a function of time</p> Signup and view all the answers

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