
Interactive Learning Check Quiz for Multilevel Measurement Models
Engage in an interactive quiz to test your knowledge on multilevel measurement models through a slideshow format. Explore questions on clustered data, data formats, model frameworks, and more to enhance your understanding.
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Presentation Transcript
Section 3: Learning Check Please put into Slide Show Mode to begin interactive Quiz (Slide Show From Beginning) Instructions Click on responses to select answer. Use navigation arrows to advance to next question Question 1 Question 1
Knowledge Check 1 What issue arises from not using a multilevel measurement model (when the data structure calls for one)? Failure to account for clustered data. Incorrect, please try again! That is one issue, but so is failure to account for measurement error. A Correct Answer! A multilevel measurement model accounts for both dependencies in clustered data (the multilevel part) and measurement error via the measurement model. Both failure to account for clustered data and failure to account for measurement error. B Incorrect, please try again! That is one issue, but so is failure to account for the dependencies in clustered data. Failure to account for measurement error. C Instructions Next Question Instructions Next Question
Knowledge Check 2 For which approach to multilevel measurement modelling do you need data in a long format (as opposed to wide )? Multilevel modelling. Correct Answer! As it is a kind of repeated measures model, you need your data to be in long format. A Structural equation modelling. Incorrect, Please try again! You can have data in a wide format for the SEM approach. B Previous Question Next Question Previous Question Next Question
Knowledge Check What do the fixed effects from a MLMM in a multilevel model framework correspond to when the same MLMM is conducted in an SEM framework? 3 Variances Incorrect, please try again! The item/factor variances from the SEM framework are not available in the MLM framework. A Incorrect, please try again! The latent variable loadings from the SEM framework are not available in the MLM framework. Latent variable loadings B Correct! The intercepts (mean item responses) in an MLMM SEM are equivalent to the fixed effects from an MLMM MLM. Intercepts C Previous Question Next Question Previous Question Next Question
Knowledge Check What parameters in a single-level CFA in an SEM framework do you need to constrain to be able to estimate that same model using nlme? 4 Intercepts Incorrect, please try again! The intercepts are equal to fixed effects for the items in nlme. A Incorrect, please try again! You can retrieve the factor and item variances with nlme. Variances B Correct! The nlme model is equivalent to a single-level CFA estimated in lavaan with item loadings constrained to zero. Item loadings C Previous Question Next Question Previous Question Next Question
Knowledge Check 5 Which image corresponds to a multilevel model, and which to a structural equation model? Image B Image A A = structural equation model Incorrect, please try again! The multilevel model uses sigma to indicate residual variances, and the terms within variance and between variance. The structural equation model uses psi and omega for residual variances, and the terms common variance and unique variance. B = multilevel model A A = multilevel model Correct! The multilevel model uses sigma to indicate residual variances, and the terms within variance and between variance. The structural equation model uses psi and omega for residual variances, and the terms common variance and unique variance. B = structural equation model Previous Question End B Previous Question End
You have reached the end of this learning check Please click anywhere to exit! Previous Question Previous Question