Learning Check Quiz Interactive Mode

Section 1: 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 If you have a clustered data structure and neglect to account for clustering in your analyses, what are the consequences for hypothesis testing? 1 Correct Answer! The dependencies in clustered data reduce the effective sample size, which causes inflated standard errors and t- values, and thus a higher likelihood of Type 1 Error. Higher likelihood of Type 1 Error A Higher likelihood of Type 2 Error Incorrect, Please try again! The standard errors are inflated, not deflated, by failing to account for clustering B Instructions Next Question Instructions Next Question

Knowledge Check A researcher is interested in the anxiety of students taking statistics classes. They survey students in statistics classes over the course of a year and are particularly interested in how the number of courses the student is taking is related to their anxiety in statistics. What kind of model should they use? 2 Multilevel model. Incorrect, please try again! This would be appropriate when using predictors at both level-1 and level-2. A Correct Answer! Clustered data but predictor only at level-1. Regression with standard error adjustment. B Incorrect, please try again! Would be appropriate with only level-2 predictors. Regular regression with scores aggregated at level-2. C Previous Question Next Question Previous Question Next Question

Knowledge Check A researcher is interested in the average, class level anxiety reported by students in a statistics course and how that is predicted by the number of exams in the course. What kind of model should they use? 3 Multilevel model. Multilevel model. Incorrect, please try again! This would be appropriate when using predictors at both level-1 and level-2. A Regression with standard error adjustment. Regression with standard error adjustment. Incorrect, please try again! Would be appropriate for clustered data with predictor only at level-1. In this case predictor is at level-2. B Correct! They re only using the level-2 predictor. Regular regression with scores aggregated at level-2. C Previous Question Next Question Previous Question Next Question

Knowledge Check A researcher is interested in the anxiety of students taking statistics courses and how the time of day the course is taught relates to students anxiety. What kind of model should they use? 4 Regular regression with scores aggregated at level-2. Incorrect, please try again! Not appropriate because there are level- 1 and level-2 predictors in the model. A Regression with standard error adjustment. Incorrect, please try again! Would be appropriate for clustered data with predictor only at level-1. In this case predictors are at both levels. B Correct! Clustered data structure using predictors at both level-1 and level-2. Multilevel model. C Previous Question Next Question Previous Question Next Question

Knowledge Check 5 If you have a data structure of employees at a company and their different managers, what is your level-1 unit? Incorrect, please try again! Managers are the clustering variable, and things about them (e.g., their management style, their experience level) can introduce dependencies in the employees answers to questions about, for example, job satisfaction. Managers A Correct! Employees are clustered within managers. Employees B Previous Question Next Question Previous Question Next Question

Knowledge Check What random effects are estimated in the model corresponding to the following graph (where each color corresponds to a cluster). 6 Random intercept. Incorrect, please try again! The intercept does vary, but so does the slope. A Correct! There is variance in the slope and intercept. Random intercept and random slope. B Incorrect, please try again! The slope does vary, but so does the intercept. Random slope. C Previous Question Next Question Previous Question Next Question

Knowledge Check In the following model of student math achievement, what parameters are being estimated? texp is teacher s years of experience, hours is student hours spent studying. Assume an unstructured covariance matrix. ??? ??= ?00+ ?01?????+ ?10 ??????+ ?0?+ ?1? ??????+ ??? 7 Click the button to the left reveal the answer! 2,?1 2,?01 2,?2 ?00,?01,?10,?0 Three fixed effects: a grand mean intercept ?00, the slope for hours studying ?10, the slope for teacher years of experience ?01, a random intercept term ?0 random slope term ?1 random intercept and slope ?01 variance ?2 2, a Reveal 2, the covariance between the 2, and the residual Previous Question End Previous Question End

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